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Xing Xie

Partner Research Manager

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Representative Publications

This webpage was last updated on October 1, 2023. Please visit Google Scholar (opens in new tab) for the latest list of papers.

 

2023

  • Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang, A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking, 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, Dec. 2023
  • Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie, Bayesian Active Causal Discovery with Multi-Fidelity Experiments, 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, Dec. 2023
  • Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui, Model-enhanced Vector Index, 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, Dec. 2023
  • Zihan Luo, Jianxun Lian, Hong Huang, Xiran Song, Xing Xie, Hai Jin, Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective, 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, Dec. 2023
  • Jun Yin, Senzhang Wang, Chaozhuo Li, Xing Xie, Jianxin Wang, V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs, 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, Dec. 2023
  • Chaozhuo Li, Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, Philip S. Yu, Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. IEEE Transactions on Knowledge and Data Engineering, Vol. 35, No. 10, Oct. 2023
  • Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang, Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning, 2023 International Conference on Computer Vision (ICCV 2023), Paris, France, Oct. 2023
  • Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha, Towards Attack-tolerant Federated Learning via Critical Parameter Analysis, 2023 International Conference on Computer Vision (ICCV 2023), Paris, France, Oct. 2023
  • Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie and Enhong Chen, Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement, 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), Birmingham, UK, Oct. 2023
  • Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jaeboum Kim, Kai Zhang, Senzhang Wang, Xing Xie and Sunghun Kim, AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation, 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), Birmingham, UK, Oct. 2023
  • Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen, A Causality Inspired Framework for Model Interpretation, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, Aug. 2023
  • Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Benjamin Zhu, Xing Xie, Meeyoung Cha, FedDefender: Client-Side Attack-Tolerant Federated Learning, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, Aug. 2023
  • Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen, Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, Aug. 2023
  • Yifan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie, Domain-Specific Risk Minimization for Domain Generalization, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, Aug. 2023
  • Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang, PASS: Personalized Advertiser-aware Sponsored Search, applied data science track, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, Aug. 2023
  • Hao Liao, JiaHao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie, MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection, applied data science track, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, Aug. 2023
  • Jingwei Yi, Fangzhao Wu, Bin Benjamin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie, UA-FedRec: Untargeted Attack on Federated News Recommendation, applied data science track, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, Aug. 2023
  • Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun and Xing Xie, Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark, 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, Jul. 2023 (ACL 2023 Area Chair Award)
  • Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks Lakshmanan, V.S. and Xing Xie, DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation, 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, Jul. 2023
  • Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang and Xing Xie, To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion, 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, Jul. 2023
  • Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie, FedSampling: A Better Sampling Strategy for Federated Learning, 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, China, Aug. 2023
  • Yuxi Feng, Xiaoyuan Yi, Laks Lakshmanan, Xing Xie, KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation, 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, China, Aug. 2023
  • Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song and Sunghun Kim, Continual Learning on Dynamic Graphs via Parameter Isolation, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Taipei, Taiwan, Jul. 2023
  • Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie and Jibing Gong, Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Taipei, Taiwan, Jul. 2023
  • Tao Qi, Fangzhao Wu, Chuhan Wu, Liang He, Yongfeng Huang, Xing Xie, Differentially Private Knowledge Transfer for Federated Learning, Nature Communications, 14, 3785, Jun. 2023
  • Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang, Learning on Large-scale Text-attributed Graphs via Variational Inference, 11th International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 2023
  • Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie, Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization, poster, 11th International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 2023
  • Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie, Out-of-distribution Representation Learning for Time Series Classification, poster, 11th International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 2023
  • Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Marios Savvides, Jindong Wang, Bhiksha Raj, Xing Xie, Bernt Schiele, SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning, poster, 11th International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 2023
  • Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie, FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning, poster, 11th International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 2023
  • Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen, Network Representation Lightening from Hashing to Quantization. IEEE Transactions on Knowledge and Data Engineering, Vol. 35, No. 5, May 2023
  • Zhengde Wei, Ying Chen, Qian Zhao, Pengyu Zhang, Longxi Zhou, Jiecheng Ren, Yi Piao, Bensheng Qiu, Xing Xie, Suiping Wang, Jia Liu, Daren Zhang, Roi Cohen Kadosh, Xiaochu Zhang, Implicit perception of differences between NLP-produced and human-produced language in the mentalizing network, Advanced Science, Vol. 10, No. 12, Apr. 2023
  • Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao and Xing Xie, Towards Explainable Collaborative Filtering with Taste Clusters Learning, The Web Conference 2023, Austin, TX, USA, Apr. 2023
  • Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie and Meeyoung Cha, DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision, The Web Conference 2023, Austin, TX, USA, Apr. 2023
  • Seongku Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie and Hwanjo Yu, Distillation from Heterogeneous Models for Top-K Recommendation, The Web Conference 2023, Austin, TX, USA, Apr. 2023
  • Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie and Hai Jin, xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction, The Web Conference 2023, Austin, TX, USA, Apr. 2023
  • Xu Huang, Defu Lian, Jin Chen, Liu Zheng, Xing Xie and Enhong Chen, Cooperative Retriever and Ranker in Deep Recommenders, The Web Conference 2023, Austin, TX, USA, Apr. 2023
  • Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen, CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection, ACM Transactions on Intelligent Systems and Technology, Vol. 14, No. 2, Apr. 2023
  • Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu, An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering, ACM Transactions on Information Systems, Vol. 41, No. 2, Apr. 2023
  • Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie, Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes, 37th AAAI Conference on Artificial Intelligence (AAAI 2023), Washington DC, USA, Feb. 2023
  • Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jae Boum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim, Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network, 16th ACM International Conference on Web Search and Data Mining (WSDM 2023), Singapore, Feb. 2023 (best paper honorable mention)
  • Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen, Reinforcement Routing on Proximity Graph for Efficient Recommendation, ACM Transactions on Information Systems, Vol. 41, No. 1, Jan. 2023
  • Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie, Personalized News Recommendation: Methods and Challenges, ACM Transactions on Information Systems, Vol. 41, No. 1, Jan. 2023

2022

  • Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie, Domain-invariant Feature Exploration for Domain Generalization, Transactions on Machine Learning Research, 2022
  • Yongfeng Huang, Chuhan Wu, Fangzhao Wu, Tao Qi, Wei-Qiang Zhang, Xing Xie, Removing AI’s sentiment manipulation of personalized news delivery, Humanities and Social Sciences Communications, 9, 459, Dec. 2022
  • Wenhao Li, Xiaoyuan Yi, Jinyi Hu, Maosong Sun and Xing Xie, Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention, 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, United Arab Emirates, Dec. 2022
  • Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun and Xing Xie, Effective and Efficient Query-aware Snippet Extraction for Web Search, 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, United Arab Emirates, Dec. 2022
  • Xin Li, Xiaojie Zhang, Peng JiaHao, Rui Mao, Mingyang Zhou, Xing Xie and Hao Liao, A Joint Learning Framework for Restaurant Survival Prediction and Explanation, 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, United Arab Emirates, Dec. 2022
  • Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang and Xing Xie, RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction, 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, United Arab Emirates, Dec. 2022
  • Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Graph Convolution Machine for Context-aware Recommender System, Frontiers of Computer Science, Vol. 16, No. 6, Dec. 2022
  • Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha, Self-Explaining Deep Models with Logic Rule Reasoning, 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, Nov. 2022
  • Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie, FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning, 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, Nov. 2022
  • Yidong Wang, Hao Chen, Yue Fan, Wang SUN, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang, USB: A Unified Semi-supervised Learning Benchmark for Classification, 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, Nov. 2022
  • Yujing Wang, Haonan Wang, Yingyan Hou, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang, A Neural Corpus Indexer for Document Retrieval, 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, Nov. 2022 (outstanding paper)
  • Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha, FedX: Unsupervised Federated Learning with Cross Knowledge Distillation, 17th European Conference on Computer Vision (ECCV 2022), Tel Aviv, Israel, Oct. 2022
  • Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue, Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation, 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, GA, USA, Oct. 2022
  • Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim, Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation, 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, GA, USA, Oct. 2022
  • Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He, A Survey on Knowledge Graph-Based Recommender Systems, IEEE Transactions on Knowledge and Data Engineering, Vol. 34, No. 8, Aug. 2022, p3549-3568
  • Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie, Reinforcement Subgraph Reasoning for Fake News Detection, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington DC, USA, Aug. 2022
  • Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie, No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices, applied data science track, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington DC, USA, Aug. 2022
  • Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie, FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling, applied data science track, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington DC, USA, Aug. 2022
  • Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Fangzhao Wu, Bhuvan Middha, Xing Xie, Training Large-Scale News Recommenders with Pretrained Language Models in the Loop, applied data science track, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington DC, USA, Aug. 2022
  • Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang, Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads, applied data science track, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington DC, USA, Aug. 2022
  • Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie, Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search, applied data science track, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington DC, USA, Aug. 2022
  • Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan, Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora, applied data science track, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington DC, USA, Aug. 2022
  • Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie, Friend Recommendations with Self-Rescaling Graph Neural Networks, applied data science track, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington DC, USA, Aug. 2022
  • Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie, FedCTR: Federated Native Ad CTR Prediction with Cross Platform User Behavior Data, ACM Transactions on Intelligent Systems and Technology, Vol. 13, No. 4, Aug. 2022, p1-19
  • Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang, HousE: Knowledge Graph Embedding with Householder Parameterization, 39th International Conference on Machine Learning (ICML 2022), Baltimore, MD, USA, Jul. 2022
  • Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie, Clickbait Detection via Contrastive Variational Modelling of Text and Label, 31st International Joint Conference on Artificial Intelligence (IJCAI 2022), Vienna, Austria, Jul. 2022
  • Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie, Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation, 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), Seattle, WA, USA, Jul. 2022
  • Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie, Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings, 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, Jul. 2022
  • Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang, Geometric Disentangled Collaborative Filtering, 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, Jul. 2022
  • Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen, Forest-based Deep Recommender, 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, Jul. 2022
  • Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie, Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation, 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, Jul. 2022
  • Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie, ProFairRec: Provider Fairness-aware News Recommendation, 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, Jul. 2022
  • Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, Tao Qi, Yongfeng Huang, Xing Xie, A Federated Graph Neural Network Framework for Privacy-Preserving Personalization, Nature Communications, 13, 3091, Jun. 2022
  • Estee Y Cramer, Evan L Ray, Velma K Lopez, etc. Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US, Proceedings of the National Academy of Sciences of the USA (PNAS), Vol. 19, No. 15, Apr. 2022
  • Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval, The Web Conference 2022, online, Apr. 2022
  • Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li, MINDSim: User Simulator for News Recommenders, The Web Conference 2022, online, Apr. 2022
  • Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie, FeedRec: News Feed Recommendation with Various User Feedbacks, The Web Conference 2022, online, Apr. 2022
  • Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie, Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning, The Web Conference 2022, online, Apr. 2022
  • Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie, Communication-Efficient Federated Learning via Knowledge Distillation, Nature Communications, 13, 2032, Apr. 2022
  • Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie, Towards Fine-Grained Reasoning for Fake News Detection, 36th AAAI Conference on Artificial Intelligence (AAAI 2022), online, Feb. 2022
  • Zihan Luo, Jianxun Lian, Hong Huang, Han Jin, Xing Xie, Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks, 15th ACM International Conference on Web Search and Data Mining (WSDM 2022), online, Feb. 2022
  • Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Han Jin, Xing Xie, Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations, 15th ACM International Conference on Web Search and Data Mining (WSDM 2022), online, Feb. 2022
  • Yang Yue, Yu Liu, Yunsong Chen, etc. Integration Path of Spatial and Geo-Computing and Computational Social Science, Geomatics and Information Science of Wuhan University (in Chinese), No. 1, Vol. 47, Jan. 2022, p1-18

2021

  • Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie, GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), online, Dec. 2021
  • Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie, Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation, 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), online and Punta Cana, Dominican Republic, Nov. 2021
  • Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie, Matching-oriented Embedding Quantization For Ad-hoc Retrieval, 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), online and Punta Cana, Dominican Republic, Nov. 2021
  • Defu Lian, Xing Xie, Enhong Che, Hui Xiong, Product Quantized Collaborative Filtering, IEEE Transactions on Knowledge and Data Engineering, No. 9, Vol. 33, Sep. 2021, p3284-3296
  • Hongwei Wang, Jialin Wang, Jia Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Wenjie Li, Xing Xie, Minyi Guo, Learning Graph Representation with Generative Adversarial Nets, IEEE Transactions on Knowledge and Data Engineering, No. 8, Vol. 33, Aug. 2021, p3090-3103
  • Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie, Reinforcing Pretrained Models for Generating Attractive Text Advertisements, applied data science track, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), online, Aug. 2021
  • Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie, Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), online, Aug. 2021
  • Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He and Xing Xie, PENS: A Dataset and Generic Framework for Personalized News Headline Generation, 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021), online, Aug. 2021
  • Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, and Yongfeng Huang, HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation, 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021), online, Aug. 2021
  • Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie, User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation, 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), Montreal-themed virtual reality, Aug. 2021
  • Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie, Learning Groupwise Explanations for Black-Box Models, 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), Montreal-themed virtual reality, Aug. 2021
  • Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang, AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search, 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), online, Jul. 2021
  • Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie, Self-supervised Graph Learning for Recommendation, 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), online, Jul. 2021
  • Shunsuke Aoki, Kaoru Sezaki, Nicholas Jing Yuan, Xing Xie, BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories, IEEE Transaction on Big Data, , No. 2, Vol. 7, Jun. 2021, p371-382
  • Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu, Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference, IEEE Transactions on Systems, Man and Cybernetics: Systems, , No. 6, Vol. 51, Jun. 2021, p3781-3795
  • Yao Wu, Yu Song, Hong Huang, Fanghua Ye, Xing Xie, Hai Jin, Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification, Knowledge-Based Systems, Vol. 220, May 2021
  • Defu Lian, Xing Xie, Enhong Chen, Discrete Matrix Factorization and Extension for Fast Item Recommendation, IEEE Transactions on Knowledge and Data Engineering, No. 5, Vol. 33, May 2021, p1919-1933
  • Ruijia Wang, Shuai Mou, Xiao Wang, Wanpeng Xiao, Qi Ju, Chuan Shi, Xing Xie, Graph Structure Estimation Neural Networks, The Web Conference 2021, online, Apr. 2021
  • Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie, Fairness-aware News Recommendation with Decomposed Adversarial Learning, 35th AAAI Conference on Artificial Intelligence (AAAI 2021), online, Feb. 2021
  • Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen, Towards Explainable Conversational Recommendation, 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), online, Jan. 2021

2020

  • Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin, Multi-Stage Network Embedding for Exploring Heterogeneous Edges, ACM Transactions on Knowledge Discovery from Data, Vol. 15, No. 1, Dec. 2020
  • Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen, Sampling-Decomposable Generative Adversarial Recommender, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), online, Dec. 2020
  • Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang, A Hierarchical Attention Model for Social Contextual Image Recommendation, IEEE Transactions on Knowledge and Data Engineering, Vol. 32, No. 10, Oct. 2020
  • Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie, Detecting Entities of Works for Chinese Chatbot, ACM Transactions on Asian and Low-Resource Language Information Processing, Vol. 19, No. 6, Sep. 2020
  • Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie, KRED: Knowledge-Aware Document Representation for News Recommendations, 14th ACM Conference on Recommender Systems (RecSys 2020), online, Sep. 2020
  • Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen, Geography-Aware Sequential Location Recommendation, 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020), online, Aug. 2020
  • Zheng Liu, Junhan Yang, Jianxun Lian, Defu Lian, Xing Xie, Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates, 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), online, Jul. 2020
  • Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie, Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs, 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), online, Jul. 2020
  • Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou, MIND: A Large-scale Dataset for News Recommendation, 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), online, Jul. 2020
  • Heyuan Wang, Fangzhao Wu, Zheng Liu, Xing Xie, Fine-grained Interest Matching for Neural News Recommendation, 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), online, Jul. 2020
  • Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou, Graph Neural News Recommendation with Unsupervised Preference Disentanglement, 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), online, Jul. 2020
  • Xiting Wang, Xing Xie, A Reinforcement Learning Framework for Explainable Recommendation, Communications of the CAAI (in Chinese), Vol. 10, No. 7, Jul. 2020, p9-13
  • Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie, LightRec: a Memory and Search-Efficient Recommender System, The Web Conference 2020, online, Apr. 2020

2019

  • Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie, Neural News Recommendation with Heterogeneous User Behavior, 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, China, Nov. 2019
  • Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie, Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network, 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, China, Nov. 2019
  • Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie, Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation, 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, Nov. 2019
  • Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie, Sentiment Lexicon Enhanced Neural Sentiment Classification, 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, Nov. 2019
  • Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Zhongxia Chen, Xing Xie, Xueming Qian, Personalized Reason Generation for Explainable Song Recommendation, ACM Transactions on Intelligent Systems and Technology, Vol. 10, No. 4, Aug. 2019
  • Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie, Adaptive User Modeling with Long and Short-Term Preference for Personalized Recommendation, 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, Aug. 2019
  • Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie, Neural News Recommendation with Attentive Multi-View Learning, 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, Aug. 2019
  • Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie, Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems, 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, Aug. 2019
  • Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie, Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network, 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, Aug. 2019
  • Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang, Personalized Multimedia Item and Key Frame Recommendation, 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, Aug. 2019
  • Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen, Co-Attentive Multi-Task Learning for Explainable Recommendation, 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, Aug. 2019
  • Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang and Xing Xie, NPA: Neural News Recommendation with Personalized Attention, 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, AL, USA, Aug. 2019
  • Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu and Xing Xie, Neural News Recommendation with Long- and Short-term User Representations, 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, Jul. 2019
  • Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie and Houfeng WANG, Exploring Sequence-to-Sequence Learning in Aspect Term Extraction, 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, Jul. 2019
  • Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie, Towards A Deep and Unified Understanding of Deep Neural Models in NLP, 36th International Conference on Machine Learning (ICML 2019), Long Beach, CA, USA, Jun. 2019
  • Hongwei Wang, Miao Zhao, Xing Xie, Wenjie Li, Minyi Guo, Knowledge Graph Convolutional Networks for Recommender Systems, The Web Conference 2019, San Francisco, CA, USA, May 2019
  • Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo, Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation, The Web Conference 2019, San Francisco, CA, USA, May 2019
  • Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie, Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation, The Web Conference 2019, San Francisco, CA, USA, May 2019
  • Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie, Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization, The Web Conference 2019, San Francisco, CA, USA, May 2019
  • Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo, Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems, ACM Transactions on Information Systems, Vol. 37, No. 3, May 2019
  • Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie, Neural Chinese Word Segmentation with Dictionary Knowledge, Neurocomputing, Vol. 338, Apr. 2019, p46-54
  • Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie, Neural Demographic Prediction using Search Query, 12th ACM International Conference on Web Search and Data Mining (WSDM 2019), Melbourne, Australia, Feb. 2019
  • Chuhan Wu, Fangzhao Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang, Xing Xie, MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention, 12th ACM International Conference on Web Search and Data Mining (WSDM 2019), Melbourne, Australia, Feb. 2019
  • Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie, Explainable Recommendation Through Attentive Multi-View Learning, 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, Hawaii, USA, Jan. 2019
  • Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan, Session-based Recommendation with Graph Neural Network, 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, Hawaii, USA, Jan. 2019
  • Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie, DRr-Net: Dynamic Re-read Network for Sentence Semantic Matching, 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, Hawaii, USA, Jan. 2019

2018

  • Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie, A Reinforcement Learning Framework for Explainable Recommendation, 18th IEEE International Conference on Data Mining (ICDM 2018), Singapore, Nov. 2018
  • Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie, Neural Sentence-level Sentiment Classification with Heterogeneous Supervision, 18th IEEE International Conference on Data Mining (ICDM 2018), Singapore, Nov. 2018
  • Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu, Collaborative Translational Metric Learning, 18th IEEE International Conference on Data Mining (ICDM 2018), Singapore, Nov. 2018
  • Yilan Cui, Xing Xie, Yi Liu, Social Media and Mobility Landscape: Uncovering Spatial Patterns of Urban Human Mobility with Multi-Source Data, Frontiers of Environmental Science and Engineering, Vol. 12, No. 5, Oct. 2018
  • Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo, Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems, 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Lingotto, Turin, Italy, Oct. 2018
  • Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun, xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems, 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, Aug. 2018
  • Zheng Liu, Xing Xie, Lei Chen, Context-aware Academic Collaborator Recommendation, 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, Aug. 2018
  • Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie, High-order Proximity Preserving Information Network Hashing, 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, Aug. 2018
  • Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu, Transcribing Content from Structural Images with Spotlight Mechanism, 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, Aug. 2018
  • Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun, Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach, 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, Jul. 2018
  • Yingzi Wang, Anastasios Noulas, Xiao Zhou, Xing Xie, Enhong Chen, Cecilia Mascolo, Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data, 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, Jul. 2018
  • Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu, Sequential Recommender System based on Hierarchical Attention Networks, 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, Jul. 2018
  • Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Yuan, Xing Xie, Tao Zhou, Yong Rui, Scalable Content-Aware Collaborative Filtering for Location Recommendation, IEEE Transactions on Knowledge and Data Engineering, Vol. 30, No. 6, Jun. 2018, p1122-1135
  • Shuhei Hayashida, Daichi Amagata, Takahiro Hara, Xing Xie, Dummy Generation Based on User-Movement Estimation for Location Privacy Protection, IEEE Access, Vol. 6, Apr. 2018, p22958-22969
  • Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie, GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization, ACM Transactions on Information Systems, Vol. 36, No. 3, Apr. 2018
  • Wayne Xin Zhao, Wenhui Zhang, Yulan He, Xing Xie, Ji-Rong Wen, Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems, ACM Transactions on Information Systems, Vol. 36, No. 3, Apr. 2018
  • Youngnam Lee, Sang-Wook Kim, Sunju Park, Xing Xie, How to Impute Missing Ratings? Claims, Solution, and Its Application to Collaborative Filtering, The Web Conference 2018, Lyon, France, Apr. 2018
  • Guanjie Zheng, Fuzheng Zhang, Zihan Zheng, Yang Xiang, Nicholas Jing Yuan, Xing Xie, Zhenhui Jessie Li, DRN: A Deep Reinforcement Learning Framework for News Recommendation, The Web Conference 2018, Lyon, France, Apr. 2018
  • Hongwei Wang, Fuzheng Zhang, Xing Xie, Minyi Guo, DKN: Deep Knowledge-Aware Network for News Recommendation, The Web Conference 2018, Industry Track, Lyon, France, Apr. 2018
  • Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang, Product Adoption Rate Prediction in a Competitive Market, IEEE Transactions on Knowledge and Data Engineering, Vol. 30, No. 2, Feb. 2018, p325-338
  • Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu, SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction, 11th ACM International Conference on Web Search and Data Mining (WSDM 2018), Los Angeles, CA, USA, Feb. 2018
  • Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong, CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition, 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, USA, Feb. 2018
  • Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo, GraphGAN: Graph Representation Learning with Generative Adversarial Nets, 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, USA, Feb. 2018

2017

  • Hao Fu, Xing Xie, Yong Rui, Neil Zhenqiang Gong, Guangzhong Sun, Enhong Chen, Robust Spammer Detection in Microblogs: Leveraging User Carefulness, ACM Transactions on Intelligent Systems and Technology, Vol. 8, No. 6, Sep. 2017
  • Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang, Collaborative Intent Prediction with Real-Time Contextual Data, ACM Transactions on Information Systems, Vol. 35, No. 4, Aug. 2017
  • Kazutoshi Umemoto, Ruihua Song, Jian-Yun Nie, Xing Xie, Katsumi Tanaka, Yong Rui, Search by Screenshots for Universal Article Clipping in Mobile Apps, ACM Transactions on Information Systems, Vol. 35, No. 4, Aug. 2017
  • Xuan Song, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie, Tao Li, Ryutaro Adachi, DeepMob: Learning Deep Knowledge of Human Emergency Behavior and Mobility from Big and Heterogeneous Data, ACM Transactions on Information Systems, Vol. 35, No. 4, Aug. 2017
  • Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Chuan Qin, Xing Xie, App Download Forecasting: An Evolutionary Hierarchical Competition Approach, 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, Aug. 2017
  • Chenyi Zhuang, Nicholas Jing Yuan, Ruihua Song, Xing Xie, Qiang Ma, Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory, 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, Aug. 2017
  • Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao, Discrete Content-aware Matrix Factorization, 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017), Halifax, Canada, Aug. 2017
  • Fuzheng Zhang, Xing Xie, Personalized Recommendation Which Understands Your Personality, Communications of the CAAI (in Chinese), Vol. 7, No. 7, Jul. 2017, p13-19
  • Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He, Representation Learning via Dual-Autoencoder for Recommendation, Neural Networks, Vol. 90, Jun. 2017, p83-89
  • Bin Guo, Huihui Chen, Wenqian Nan, Zhiwen Yu, Xing Xie, Daqing Zhang, Xingshe Zhou, TaskMe: Toward a Dynamic and Quality-Enhanced Incentive Mechanism for Mobile Crowd Sensing, International Journal of Human-Computer Studies, , Vol. 102, Jun. 2017, p14-26
  • Zimo Yang, Defu Lian, Nicholas Jing Yuan, Xing Xie, Yong Rui, Tao Zhou, Indigenization of Urban Mobility, Physica A, Vol. 469, 2017, p232-243
  • Fuzheng Zhang, Xing Xie, Personality Assessment Based on User Behavioral Data, Communications of the CCF (in Chinese), Vol. 13, No. 4, Apr. 2017, p22-27
  • Jianxun Lian, Fuzheng Zhang, Xing Xie and Guangzhong Sun, Restaurant Survival Analysis with Heterogeneous Information, 26th International World Wide Web Conference (WWW 2017), web science track, Perth, Australia, Apr. 2017
  • Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li, Network Motif Discovery: A GPU Approach, IEEE Transactions on Knowledge and Data Engineering, Vol. 29, No. 3, Mar. 2017, p513-528
  • Honghao Wei, Fuzheng Zhang, Nicholas Jing Yuan, Chuan Cao, Hao Fu, Xing Xie, Yong Rui, and Wei-Ying Ma, Beyond the Words: Predicting User Personality from Heterogeneous Information, the 10th ACM International Conference on Web Search and Data Mining (WSDM 2017), Cambridge, UK, Feb. 2017
  • Fuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, and Qing He, Representation Learning with Pair-wise Constraints for Collaborative Ranking, the 10th ACM International Conference on Web Search and Data Mining (WSDM 2017), Cambridge, UK, Feb. 2017

2016

  • Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie, Prediction and Simulation of Human Mobility Following Natural Disasters, ACM Transactions on Intelligent Systems and Technology, Vol. 8, No. 2, Dec. 2016
  • Defu Lian, Zhengyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation, 16th IEEE International Conference on Data Mining (ICDM 2016), Barcelona, Spain, Dec. 2016
  • Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong, Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation, 16th IEEE International Conference on Data Mining (ICDM 2016), Barcelona, Spain, Dec. 2016
  • Linli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Nicholas Jing Yuan, Xing Xie, Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains, 16th IEEE International Conference on Data Mining (ICDM 2016), Barcelona, Spain, Dec. 2016
  • Tianran Hu, Ruihua Song, Yingzi Wang, Xing Xie, Jiebo Luo, Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data, 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, USA, Oct. 2016
  • Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Fuzheng Zhang, Xing Xie, Qi Liu, Enhong Chen, App Usage Forecasting: A Contextual Collaborative Approach, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), Heidelberg, Germany, Sep. 2016
  • Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma, Collaborative Knowledge Base Embedding for Recommender Systems, 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), applied data science track, San Francisco, USA, Aug. 2016
  • Yu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, Rui Zhang Contextual Intent Tracking for Personal Assistants, 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), applied data science track, San Francisco, USA, Aug. 2016 (best student paper in applied data science track)
  • Defu Lian, Yong Ge, Nicholas Yuan, Xing Xie, Hui Xiong, Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback, 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York, USA, Jul. 2016
  • Ruihua Song, Kazutoshi Umemoto, Jian-Yun Nie, Xing Xie, Katsumi Tanaka, Yong Rui,  UniClip: Leveraging Web Search for Universal Clipping of Articles on Mobile, Data Science and Engineering, Vol. 1, No. 2, Jun. 2016, p101-113
  • Jun Zhang, Xiaokui Xiao, Xing Xie, PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions, 2016 ACM SIGMOD/PODS Conference (SIGMOD 2016), San Francisco, USA, Jun. 2016
  • Bin Guo, Huihui Chen, Zhiwen Yu, Xing Xie, Daqing Zhang, PicPick: a Generic Data Selection Framework for Mobile Crowd Photography, Personal and Ubiquitous Computing, Vol. 20, No. 3, Jun. 2016, p325-335
  • Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui, Exploiting Dining Preference for Restaurant Recommendation, 25th International World Wide Web Conference (WWW 2016), Montreal, Canada, Apr. 2016
  • Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald and Rui Zhang, Collaborative Nowcasting for Contextual Recommendation, 25th International World Wide Web Conference (WWW 2016), industry track, Montreal, Canada, Apr. 2016
  • Le Wu, Qi Liu, Enhong Chen, Nicholas Yuan, Guangming Guo, Xing Xie, Relevance meets Coverage: A Unified Framework to Generate Diversified Recommendations, ACM Transactions on Intelligent Systems and Technology, Vol. 7, No. 3, Apr. 2016
  • Guoshuai Zhao, Xueming Qian, Xing Xie, User-Service Rating Prediction by Exploring Social Users’ Rating Behaviors, IEEE Transactions on Multimedia, Vol. 18, No. 3, Mar. 2016, p496-506
  • Meng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, and Shiqiang Yang, Little is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds, 30th AAAI Conference on Artificial Intelligence (AAAI 2016), Phoenix, Arizona USA, Feb. 2016
  • Nicholas Jing Yuan, Yuan Zhong, Fuzheng Zhang, Xing Xie, Chin-Yew Lin and Yong Rui, Who Will Reply to/Retweet This Tweet? The Dynamics of Intimacy from Online Social Interactions, , the 9th ACM International Conference on Web Search and Data Mining (WSDM 2016), San Francisco, USA, Feb. 2016

2015

  • Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Yuan, Xing Xie, Tao Zhou, Yong Rui, Content-Aware Collaborative Filtering for Location Recommendation based on Human Mobility Data, 15th IEEE International Conference on Data Mining (ICDM 2015), Atlantic City, NJ, USA, Nov. 2015
  • Qi Liu, Xianyu Zeng, Enhong Chen, Chuanren Liu, Hengshu Zhu, Hui Xiong, Xing Xie, Mining Indecisiveness in Customer Behaviors, 15th IEEE International Conference on Data Mining (ICDM 2015), Atlantic City, NJ, USA, Nov. 2015
  • Bin Guo, Huihui Chen, Zhiwen Yu, Xing Xie, Shenlong Huangfu, Daqing Zhang, FlierMeet: A Mobile Crowdsensing System for Cross-Space Public Information Reposting, Tagging, and Sharing, IEEE Transactions on Mobile Computing, Vol. 14, No. 10, Oct. 2015, p2020-2033
  • Fuzheng Zhang, Nicholas Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui, Mining Consumer Impulsivity Attribute from Offline and Online Behavior, 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), Osaka, Japan, Sep. 2015
  • Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui, Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data, 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), Sydney, Australia, Aug. 2015
  • Hao Fu, Aston Zhang, Xing Xie, Effective Social Graph De-anonymization based on Graph Structure and Descriptive Information, ACM Transactions on Intelligent Systems and Technology, Vol. 5, No. 4, Aug. 2015
  • Fuzheng Zhang, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Reconstructing Individual Mobility from Smart Card Transactions: A Collaborative Space Alignment Approach, Knowledge and Information Systems, Vol. 44, No. 2, Aug. 2015, p299-323
  • Zhou Zhao, Ruihua Song, Xing Xie, Xiaofei He, Mobile Query Recommendation via Tensor Function Learning, 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, Jul. 2015
  • Defu Lian, Xing Xie, Fuzheng Zhang, Nicholas J. Yuan, Tao Zhou, Yong Rui, Mining Location-based Social Networks: A Predictive Perspective, IEEE Data Engineering Bulletin, Vol. 38, No. 2, Jun. 2015, p35-46
  • Fuzheng Zhang, Kai Zheng, Nicholas Jing Yuan, Xing Xie, Enhong Chen, Xiaofang Zhou, A Novelty-Seeking based Dining Recommender System, 24th International World Wide Web Conference (WWW 2015), Florence, Italy, May 2015
  • Hao Fu, Xing Xie, Yong Rui, Leveraging Careful Microblog Users for Spammer Detection, 24th International World Wide Web Conference (WWW 2015), industry track, Florence, Italy, May 2015
  • Fuzheng Zhang, Nicholas Jing Yuan, David Wilkie, Yu Zheng, Xing Xie, Sensing the Pulse of Urban Refueling Behavior: A Perspective from Taxi Mobility, ACM Transactions on Intelligent Systems and Technology, Vol. 6, No. 3, May 2015
  • Yingxia Shao, Bin Cui, Lei Chen, Mingming Liu, Xing Xie, An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs, Proceedings of the VLDB Endowment, Vol. 8, No. 8, Apr. 2015
  • Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli, Li, Network Motif Discovery: A GPU Approach, 31st IEEE International Conference on Data Engineering (ICDE 2015), Seoul, Korea, Apr. 2015
  • Bolong Zheng, Nicholas Jing Yuan, Kai Zheng, Xing Xie, Xiaofang Zhou, Approximate Keyword Search in Semantic Trajectory Database, 31st IEEE International Conference on Data Engineering (ICDE 2015), Seoul, Korea, Apr. 2015
  • Andy Yuan Xue, Jianzhong Qi, Xing Xie, Rui Zhang, Jin Huang, Yuan Li, Solving the Data Sparsity Problem in Destination Prediction, the International Journal on Very Large Data Bases, Vol. 24, No. 2, Apr. 2015, p219-243
  • Defu Lian, Xing Xie, Vincent W. Zheng, Nicholas Yuan, Fuzheng Zhang, Enhong Chen, CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction, ACM Transactions on Intelligent Systems and Technology, Vol. 6, No. 1, Apr. 2015
  • Nicholas Jing Yuan, Yu Zheng, Xing Xie, Yingzi Wang, Kai Zheng, Hui Xiong, Discovering Urban Functional Zones Using Latent Activity Trajectories, IEEE Transactions on Knowledge and Data Engineering, Vol. 27, No. 3, Mar. 2015
  • Rongrong Ji, Yue Gao, Wei Liu, Xing Xie, Qi Tian, and Xuelong Li, When Location Meets Social Multimedia: A Survey on Vision-Based Recognition and Mining for Geo-Social Multimedia Analytics, ACM Transactions on Intelligent Systems and Technology, Vol. 6, No. 1, Mar. 2015
  • Yuan Zhong, Nicholas Jing Yuan, Wen Zhong, Fuzheng Zhang, Xing Xie, You Are Where You Go: Inferring Demographic Attributes from Location Check-ins, 8th ACM International Conference on Web Search and Data Mining (WSDM 2015), Shanghai, China, Feb. 2015
  • Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan and Xing Xie, A Simulator of Human Emergency Mobility following Disasters: Knowledge Transfer from Big Disaster Data, 29th AAAI Conference on Artificial Intelligence (AAAI 2015), Austin, Texas USA, Jan. 2015
  • Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang, Content-based CF for News Topic Recommendation, 29th AAAI Conference on Artificial Intelligence (AAAI 2015), Austin, Texas, Jan. 2015

2014

  • Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen, Hui Xiong, Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective, 14th IEEE International Conference on Data Mining (ICDM 2014), Shenzhen, China, Dec. 2014
  • Jonghyun Han, Hedda R. Schmidtke, Xing Xie, Woontack Wood, Adaptive Content Recommendation for Mobile Users: Ordering Recommendations using a Hierarchical Context Model with Granularity, Pervasive and Mobile Computing, Vol. 13, Aug. 2014, p85-98
  • Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen, Yong Rui, GeoMF: Joint Geographical Modeling and Matrix Factorization for Point-of-Interest Recommendation, 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2014), New York City, USA, Aug. 2014 [Data Set (opens in new tab)]
  • Yanyan Fu, Hao Fu, Xing Xie, Guangzhong Sun, Min Zhang, Social Network Anonymization and Privacy Protection, Communications of the CCF (in Chinese), Vol. 10, No. 6, Jun. 2014, p51-37
  • Nicholas Yuan, Xing Xie, User Understanding from Large Scale Human Behavioral Data, Communications of the CCF (in Chinese), Vol. 10, No. 5, May 2014, p14-17
  • Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Mining Novelty Seeking Trait Across Heterogeneous Domains, 23rd International World Wide Web Conference (WWW 2014), Seoul, Korea, Apr. 2014
  • Defu Lian, Xing Xie, Mining Check-in History for Personalized Location Naming, ACM Transactions on Intelligent Systems and Technology, Vol 5, No. 2, Apr. 2014, p32:1-32:25
  • Aston Zhang, Xing Xie, Kevin Chang, Carl Gunter, Jiawei Han and Xiaofeng Wang, Privacy Risk in Anonymized Heterogeneous Information Networks, 17th International Conference on Extending Database Technology (EDBT 2014), Athens, Greece, Mar. 2014

2013

  • Nicholas Jing Yuan, Yingzi Wang, Fuzheng Zhang, Xing Xie, and Guang-Zhong Sun, Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach, The 13th IEEE International Conference on Data Mining (ICDM 2013), Dallas, Texas, USA, Dec. 2013 (best paper award)
  • Nicholas Jing Yuan, Fuzheng Zhang, Defu Lian, Kai Zheng, Siyu Yu, Xing Xie, We Know How You Live: Exploring the Spectrum of Urban Lifestyles, 2013 ACM Conference on Online Social Networks (COSN 2013), Boston, USA, Oct. 2013
  • Jing Yuan, Yu Zheng, Liuhang Zhang, Xing Xie, T-Finder: A Recommender System for Finding Passengers and Vacant Taxis, IEEE Transactions on Knowledge and Data Engineering, , Vol. 25, No. 10, Oct. 2013
  • Fuzheng Zhang, David Wilkie, Yu Zheng, Xing Xie, Sensing the Pulse of Urban Refueling Behavior, 2013 ACM International Conference on Pervasive and Ubiquitous Computing (UbiComp 2013), Zurich, Switzerland, Sep. 2013
  • Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jin Huang, Zhenghua Xu. Destination Prediction by Sub-Trajectory Synthesis and Privacy Protection Against Such Prediction. 29th IEEE International Conference on Data Engineering (ICDE 2013), Brisbane, Australia, Apr. 2013
  • Jonghyun Han, Xing Xie, and Woontack Woo, Context-based Microblog Browsing for Mobile Users, Journal of Ambient Intelligence and Smart Environments, Vol. 5, No. 1, Jan. 2013, p89-104
  • Jing Yuan, Yu Zheng, Xing Xie, Guangzhong Sun, T-Drive: Enhancing Driving Directions with Taxi Drivers’ Intelligence, IEEE Transactions on Knowledge and Data Engineering, Vol. 25, No. 1, Jan. 2013, p220-232

Before 2012
Mining Social Data

  • Xiangye Xiao, Yu Zheng, Qiong Luo, Xing Xie, Inferring social ties between users with human location history, Journal of Ambient Intelligent Human Computing, Dec. 2012, p1-17
  • Hyoseok Yoon, Yu Zheng, Xing Xie, Woontack Woo, Social Itinerary Recommendation from User-generated Digital Trails, Personal and Ubiquitous Computing, Vol. 16, No. 5, Jun. 2012, p469-484
  • Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Yang, Towards Mobile Intelligence: Learning from GPS History Data for Collaborative Recommendation, Artificial Intelligence Journal, Vol. 184-185, Jun. 2012, p17-37
  • Defu Lian, Xing Xie. Learning Location Naming from User Check-In Histories, 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2011), Chicago, USA, Nov. 2011
  • Yu Zheng, Lizhu Zhang, Zhengxin Ma, Xing Xie, Wei-Ying Ma, Recommending Friends and Locations Based on Individual Location History, ACM Transactions on the Web, Vol. 5, No. 1, Feb. 2011
  • Yu Zheng, Xing Xie, Learning Travel Recommendations From User-Generated GPS Traces, ACM Transactions on Intelligent Systems and Technology, Vol. 2, No. 1, Jan. 2011
  • Hyoseok Yoon, Yu Zheng, Xing Xie, and Woontack Woo, Smart Itinerary Recommendation based on User-Generated GPS Trajectories, the 7th International Conference on Ubiquitous Intelligence and Computing (UIC 2010), Xi’an, China, Oct. 2010 (best paper award)
  • Wenchen Zheng, Bin Cao, Yu Zheng, Xing Xie, Qiang Yang, Collaborative Filtering Meets Mobile Recommendation: A User-centered Approach, 24th AAAI Conference on Artificial Intelligence (AAAI 2010), Atlanta, Georgia, USA, Jul. 2010
  • Yu Zheng, Xing Xie, Enable Smart Location-Based Services by Mining User Trajectories, Communications of the CCF (in Chinese), Vol. 6, No. 6, Jun. 2010, p23-29
  • Yu Zheng, Xing Xie, Wei-Ying Ma, GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory, IEEE Data Engineering Bulletin, Vol. 33, No. 2, Jun. 2010, p32-39
  • Zaiben Chen, Heng Tao Shen, Xiaofang Zhou, Yu Zheng, Xing Xie, Searching Trajectories by Locations – An Efficiency Study, the 2010 ACM SIGMOD/PODS Conference (SIGMOD 2010), Indianapolis, IN, USA, Jun. 2010
  • Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Yang, Collaborative Location and Activity Recommendations with GPS History Data, 19th International World Wide Web Conference (WWW 2010), Raleigh, NC, USA, Apr. 2010
  • Yu Zheng, Yukun Chen, Quannan Li, Xing Xie, Wei-Ying Ma, Understanding Transportation Modes Based on GPS Data for Web Applications, ACM Transactions on the Web, Vol. 4, No. 1, Jan. 2010.
  • Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma, Mining Interesting Locations and Travel Sequences from GPS Trajectories for Mobile Users, 18th International World Wide Web Conference (WWW 2009), Madrid, Spain, Apr. 2009
  • Quannan Li, Yu Zheng, Xing Xie, Yukun Chen, Wenyu Liu, Mining User Similarity Based on Location History, 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2008), Irvine, CA, USA, Nov. 2008
  • Xing Xie, Yu Zheng, Understanding User Behavior Geospatially, Communications of the CCF (in Chinese), Vol. 4, No. 10, Vol. 4, Oct. 2008, p43-49
  • Yu Zheng, Quannan Li, Yukun Chen, Xing Xie, Understanding Mobility Based on GPS Data, 10th International Conference on Ubiquitous Computing (UbiComp 2008), Seoul, South Korea, Sep. 2008
  • Longhao Wang, Yu Zheng, Xing Xie, Wei-Ying Ma, A Flexible Spatio-Temporal Indexing Scheme for Large-Scale GPS Track Retrieval, the 9th International Conference on Mobile Data Management (MDM 2008), Beijing, China, Apr. 2008
  • Yu Zheng, Like Liu, Longhao Wang, Xing Xie, Learning Transportation Mode from Raw GPS Data for Geographic Applications on the Web, 17th International World Wide Web Conference (WWW 2008), Beijing, China, Apr. 2008

Mining Urban Data

  • Jing Yuan, Yu Zheng, Xing Xie, Discovering Regions of Different Functions in a City Using Human Mobility and POIs, 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2012), Beijing, China, Aug. 2012 (SIGKDD test of time award)
  • Yu Zheng, Yanchi Liu, Jing Yuan, Xing Xie, Urban Computing with Taxicabs, 13th ACM International Conference on Ubiquitous Computing (UbiComp 2011), Beijing, China, Sep. 2011
  • Jing Yuan, Yu Zheng, Liuhang Zhang, Xing Xie, Guangzhong Sun, Where to Find My Next Passenger?, 13th ACM International Conference on Ubiquitous Computing (UbiComp 2011), Beijing, China, Sep. 2011
  • Jing Yuan, Yu Zheng, Xing Xie, Guangzhong Sun, Driving with Knowledge from the Physical World, 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2011), industrial track, San Diego, CA, USA, Aug. 2011 (SIGKDD China test of time award)
  • Jing Yuan, Yu Zheng, Chengyang Zhang, Wenlei Xie, Xing Xie, Guangzhong Sun, Yan Huang, T-Drive: Driving Directions Based on Taxi Trajectories, 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2010), San Jose, USA, Nov. 2010 (best paper runner-up, 10-year impact award honorable mention)
  • Jing Yuan, Yu Zheng, Chengyang Zhang, Xing Xie, Guangzhong Sun, An Interactive Voting-based Map Matching Algorithm, the 11th International Conference on Mobile Data Management (MDM 2010), Kansas, MI, USA, May, 2010 (IEEE MDM test of time award)
  • Yin Lou, Chengyang Zhang, Yu Zheng, Xing Xie, Wei Wang, Yan Huang, Map-Matching for Low-Sampling-Rate GPS Trajectories, 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2009, 10-year impact award), Seattle, USA, Nov. 2009

Mining Geo-Tagged Photos

  • Xing Xie, Mining Intelligence from the Physical World, Communications of the CCF (in Chinese), Vol. 6, No. 11, Nov. 2010, p31-37
  • Yuki Arase, Xing Xie, Takahiro Hara, Shojiro Nishio, Mining People’s Trips from Large Scale Geo-tagged Photos, 18th ACM International Conference on Multimedia 2010 (ACM MM 2010, multimedia application track), Firenze, Italy, Oct. 2010
  • Rongrong Ji, Xing Xie, Hongxun Yao, Wei-Ying Ma, Mining City Landmarks from Blogs by Graph Modeling, 17th ACM International Conference on Multimedia 2009 (ACM MM 2009, content track), Beijing, China, Oct. 2009
  • Yuki Arase, Xing Xie, Manni Duan, Takahiro Hara, Shojiro Nishio, A Game Based Approach to Assign Geographical Relevance to Web Images, 18th International World Wide Web Conference (WWW 2009), Madrid, Spain, Apr. 2009
  • Zhigang Hua, Chuang Wang, Xing Xie, Hanqing Lu, Wei-Ying Ma, Automatic Annotation of Location Information for WWW Images, 2005 IEEE International Conference on Multimedia and Expo (ICME 2005), Amsterdam, The Netherlands, Jul. 2005

Geographical Information Retrieval

  • Zhisheng Li, Xiangye Xiao, Meng Wang, Chong Wang, Xufa Wang, Xing Xie, Towards the Taxonomy-Oriented Categorization of Yellow Pages Queries, ACM Trans. on Internet Technology, Vol. 11, No. 4, Mar. 2012
  • Mao Ye, Rong Xiao, Wang-Chien Lee, Xing Xie, On Theme Location Discovery for Travelogue Services, 34th Annual International ACM SIGIR Conference (SIGIR 2011), Beijing, China, Jul. 2011
  • Teng Qin, Rong Xiao, Lei Fang, Xing Xie, Lei Zhang, An Efficient Location Extraction Algorithm by Leveraging Web Contextual Information, 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2010), San Jose, USA, Nov. 2010
  • Xiangye Xiao, Qiong Luo, Zhisheng Li, Xing Xie, Wei-Ying Ma, A Large Scale Study on Map Search Logs, ACM Transactions on the Web, Vol. 4, No. 3, Jul. 2010
  • Xiangye Xiao, Xing Xie, Qiong Luo, Wei-Ying Ma, Density based Co-Location Pattern Discovery, 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2008), Irvine, CA, USA, Nov. 2008
  • Qi Zhang, Xing Xie, Lee Wang, Lihua Yue, Wei-Ying Ma, Detecting Geographical Serving Area of Web Resources, The 3rd International Workshop on Geographic Information Retrieval (GIR 2006), Seattle, USA, Aug. 2006
  • Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma, Indexing implicit locations for geographical information retrieval, The 3rd International Workshop on Geographic Information Retrieval (GIR 2006), Seattle, USA, Aug. 2006
  • Chuang wang, Xing Xie, Lee Wang, Yansheng Lu, Wei-Ying Ma, Detecting Geographic Locations from Web Resources, The 2nd International Workshop on Geographic Information Retrieval (GIR 2005), ACM Fourteenth Conference on Information and Knowledge Management (CIKM 2005), Bremen, Germany, Oct. 2005
  • Yinghua Zhou, Xing Xie, Chuang Wang, Yuchang Gong, Wei-Ying Ma, Hybrid Index Structures for Location-based Web Search, ACM Fourteenth Conference on Information and Knowledge Management (CIKM 2005), Bremen, Germany, Oct. 2005
  • Lee Wang, Chuang Wang, Xing Xie, Josh Forman, Yansheng Lu, Wei-Ying Ma, Ying Li, Detecting Dominant Locations from Search Queries, The 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2005), Salvador, Brazil, Aug. 2005

Mobile Web Browsing

  • Jihwan Song, Xing Xie, Yoon-Joon Lee, Ji-Rong Wen, Estimating Mobile-Friendliness Scores of Web Pages, IEICE Transactions on Information and Systems, Vol.E93-D, No.11, Nov. 2010, p3124-3127
  • Xiangye Xiao, Qiong Luo, Dan Hong, Hongbo Fu, Xing Xie, Wei-Ying Ma, Browsing on Small Displays by Transforming Web Pages into Hierarchically Structured Subpages, ACM Transactions on the Web, Vol. 3, Jan. 2009.
  • Zhigang Hua, Xing Xie, Hao Liu, Hanqing Lu, Wei-Ying Ma, Design and Performance Studies of an Adaptive Scheme for Serving Dynamic Web Content in Mobile Computing Environment, IEEE Trans. on Mobile Computing, Vol. 5, No. 12, Dec. 2006, p1650-1662.
  • Xing Xie, Wei-Ying Ma, Multimedia adaptation and browsing on small displays, in S.T. Chanson, X. Tang, J. Xu Eds. “Web Content Delivery (Web Information Systems Engineering and Internet Technologies Book Series, Vol. 2)”, Springer-Verlag, Sep. 2005.
  • Xing Xie, Gengxin Miao, Ruihua Song, Ji-Rong Wen, Wei-Ying Ma, Efficient Browsing of Web Search Results on Mobile Devices Based on Block Importance Model, The 3rd IEEE International Conference on Pervasive Computing and Communications (PerCom 2005), Mar. 2005, Kauai Island, Hawaii, USA.
  • Xing Xie, Chong Wang, Li-Qun Chen, Wei-Ying Ma, An Adaptive Web Page Layout Structure for Small Devices, ACM Multimedia Systems Journal, Springer-Verlag, Vol. 11, No. 1, 2005.
  • Yu Chen, Xing Xie, Wei-Ying Ma, Hong-Jiang Zhang, Adapting Web Pages for Small-Screen Devices, IEEE Internet Computing, Vol.9, No.1, Jan. 2005
  • Patrick Baudisch, Xing Xie, Chong Wang, Wei-Ying Ma, Collapse-to-Zoom: Viewing Web Pages on Small Screen Devices by Interactively Removing Irrelevant Content, 17th Annual ACM Symposium on User Interface Software and Technology (UIST 2004), TechNote, Sante Fe, NM, Oct. 2004.

Mobile Image Search

  • Rongrong Ji, Hongxun Yao, Xing Xie, Qi Tian, Vocabulary Hierarchy Optimization and Transfer for Scalable Image Search. IEEE Multimedia, Vol. 18, No. 3, Mar. 2011, p66-77
  • Yiqun Hu, Xiangang Cheng, Liang-Tien Chia, Xing Xie, Deepu Rajan, Ah-Hwee Tan, Coherent Phrase Model for Efficient Image Near-Duplicate Retrieval, IEEE Transactions on Multimedia, Vol. 11, No. 8, Dec. 2009, p1434-1445.
  • Wei Jiang, Dechao Liu, Xing Xie, Matthew R. Scott, Jonathan Tien, Dong Xiang, An Online Advertisement Platform Based on Image Content Bidding, 2009 IEEE International Conference on Multimedia and Expo (ICME 2009), Cancun, Mexico, Jun. 2009
  • Rongrong Ji, Xing Xie, Hongxun Yao, Wei-Ying Ma, Hierarchy Vocabulary Optimization for Effective and Transferable Retrieval, poster, IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2009 (CVPR 2009), Miami, Florida, Jun. 2009
  • Jim Kleban, Xing Xie, Wei-Ying Ma, Spatial Pyramid Mining for Logo Detection in Natural Scenes, 2008 IEEE International Conference on Multimedia and Expo (ICME 2008), Hannover, Germany, Jun. 2008
  • Xing Xie, Lie Lu, Menglei Jia, Hua Li, Frank Seide, Wei-Ying Ma, Mobile Search with Multimodal Queries, Proceedings of the IEEE, Vol. 96, No. 4, Apr. 2008.
  • Xin Fan, Xing Xie, Zhiwei Li, Mingjing Li, Wei-Ying Ma, Photo-to-Search: Using Multimodal Queries to Search the Web from Mobile Devices, poster, The 7th ACM SIGMM International Workshop on Multimedia Information Retrieval (MIR 2005), in conjunction with ACM Multimedia 2005, Singapore, Nov. 2005

Mobile Image Browsing

  • Xing Xie, Hao Liu, Wei-Ying Ma, Hong-Jiang Zhang, Browsing Large Pictures under Limited Display Sizes, IEEE Transactions on Multimedia, Vol. 8, No. 4, Aug. 2006.
  • Xing Xie, Hao Liu, Simon Goumaz, Wei-Ying Ma, Learning User Interest for Image Browsing on Small-form-factor Devices, 2005 ACM Conference on Human Factors in Computing Systems (CHI 2005), Apr. 2005, Portland, Oregon, USA.
  • Li-Qun Chen, Xing Xie, Xin Fan, Wei-Ying Ma, Hong-Jiang Zhang, He-Qin Zhou, A visual attention model for adapting images on small displays, ACM Multimedia Systems Journal, Springer-Verlag, Vol.9, No.4, 2003, p353-364.
  • Hao Liu, Xing Xie, Wei-Ying Ma, Hong-Jiang Zhang, Automatic Browsing of Large Pictures on Mobile Devices, 11th ACM International Conference on Multimedia (ACM MM 2003), Berkeley, CA, USA, Nov. 2003.
  • Li-Qun Chen, Xing Xie, Wei-Ying Ma, Hong-Jiang Zhang, He-Qin Zhou, Image Adaptation Based on Attention Model for Small-form-factor Devices, 9th International Conference on Multimedia Modeling, pp 421-439, Taipei, Taiwan, Jan. 2003

Parallel Computing and Combinatorial Optimization

  • Chen Guoliang, Xie Xing, Xu Yun and Gu Jun, Design of Restart Strategy for Randomized Algorithms and Its Application in Solving the TSP, CHINESE JOURNAL OF COMPUTERS (in Chinese), 5(25), 2002, p514-519
  • Xie Xing, Zhou Zhi, Chen Guoliang and Gu Jun, Performance Analysis of Random Competition Strategy in Monte Carlo Algorithms, CHINESE JOURNAL OF COMPUTERS (in Chinese), 10(23), 2000, p1015-1020
  • Xie Xing, Chen Guoliang and Wu Jigang, Model of Automatic Data Layout Optimization on Distributed Memory Computers, Journal of Computer Research and Development (in Chinese), 10(37), 2000, p1173-1178
  • Xie Xing, Gu Naijie and Chen Guoliang, Performance Analysis of Matrix Multiplication on Dawning-1000, Journal of Computer Research and Development (in Chinese), 7(36), 1999, p848-852