Chi Wang

Large Language Model and AI Framework

• Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Eric Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang, “AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation“, best paper in ICLR 2024 LLM Agent.
• Chi Wang, Susan Xueqing Liu, Ahmed H. Awadallah, “Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference“, in AutoML 2023.
• Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu, “Offline Training of Language Model Agents with Functions as Learnable Weights“, in ICML’24.
• Jieyu Zhang, Ranjay Krishna, Ahmed H. Awadallah, Chi Wang, “EcoAssistant: Using LLM Assistant More Affordably and Accurately“, in ICLR 2024 LLM Agent.
• Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang, “An Empirical Study on Challenging Math Problem Solving with GPT-4“, in ICLR 2024 LLM Agent.

Automated Machine Learning

• Chi Wang, Qingyun Wu, Markus Weimer, Erkang Zhu, “FLAML: A Fast and Lightweight AutoML Library“, in MLSys 2021.
• Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi, “ChaCha for online AutoML“, in ICML 2021.
• Chi Wang, Qingyun Wu, Silu Huang, Amin Saied. “Economical Hyperparameter Optimization With Blended Search Strategy“, in ICLR 2021.
• Qingyun Wu, Chi Wang, Silu Huang, “Frugal Optimization for Cost-related Hyperparameters“, in AAAI 2021.
• Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu, “Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives“, ICLR 2023 (notable-top-5%).

Machine Learning for Systems

• Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska, “Instance-Optimized Data Layouts for Cloud Analytics Workloads“, in SIGMOD 2021.
• Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri, “Efficiently Approximating Selectivity Functions using Low Overhead Regression Models“, in VLDB 2020.
• Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Åke Larson, Donald Kossmann, Rajeev Acharya, “Qd-tree: Learning Data Layouts for Big Data Analytics“, in SIGMOD 2020.
• Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David Lomet, Tim Kraska, “ALEX: An Updatable Adaptive Learned Index“, in SIGMOD 2020.
• Menghao Li, Minjia Zhang, Chi Wang, Mingqin Li, “AdaTune: Adaptive Tensor Program Compilation Made Efficient“, in NeurIPS 2020.

Scalable Data Science

• Jiezhong Qiu, Laxman Dhulipala, Richard Peng, Jie Tang, Chi Wang, “LightNE: A Lightweight Graph Processing System for Network Embedding“, in SIGMOD 2021.
• Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang, “A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices“, in NeurIPS 2020.
• Matthew Fahrbach, Gramoz Goranci, Sushant Sachdeva, Richard Peng, Chi Wang, “Faster Graph Embeddings via Coarsening“, in ICML 2020.
• Honglei Zhuang, Chi Wang, Yifan Wang, “Identifying Outlier Arms in Multi-Armed Bandit“, in NIPS 2017.
• Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang, “Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee“, in SIGMOD 2016.

Text Mining & Information Extraction

• Chi Wang, Jiawei Han, “Mining Latent Entity Structures“. (Synthesis Lectures on Data Mining and Knowledge Discovery), Morgan & Claypool Pub., March 2015.
• Jialu Liu, Jingbo Shang, Chi Wang, Xiang Ren, Jiawei Han, “Mining Quality Phrases from Massive Text Corpora“, in SIGMOD 2015. (Grand Prize in Yelp Dataset Challenge: Round Four Winner)
• Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Philip A. Bernstein, “Concept Expansion Using Web Tables“, in WWW 2015.
• Ahmed El-Kishky, Yanglei Song, Chi Wang, Clare R. Voss, Jiawei Han, “Scalable Topical Phrase Mining from Text Corpora“, in VLDB 2014.
• Chi Wang, Marina Danilevsky, Nihit Desai, Yinan Zhang, Phuong Nguyen, Thrivikrama Taula, Jiawei Han, “A Phrase Mining Framework for Recursive Construction of a Topical Hierarchy“, in KDD 2013.

Social Network Analysis & Mining

• Wei Chen, Chi Wang and Yajun Wang, “Scalable Influence Maximization for Prevalent Viral Marketing in Large-Scale Social Networks“, in KDD 2010.
• Chi Wang, Rajat Raina, David Fong, Ding Zhou, Jiawei Han, Greg Bardros, “Learning Relevance from a Heterogeneous Social Network and Its Application in Online Targeting“, in SIGIR 2011.
• Chi Wang, Jialu Liu, Nihit Desai, Marina Danilevsky, Jiawei Han, “Constructing Topical Hierarchies in Heterogeneous Information Networks“, Knowledge and Information Systems (invited for one of the best papers in ICDM’13), Volume 44(3), pp. 529–558, 2015.
• Chi Wang, Jiawei Han, Yuntao Jia, Jie Tang, Duo Zhang, Yintao Yu, Jingyi Guo, “Mining Advisor-advisee Relationship from Research Publication Networks“, in KDD 2010.
• Jie Tang, Jimeng Sun, Chi Wang, Zi Yang, “Social Influence Analysis in Large-scale Networks“, in KDD 2009.