Publication Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, , Qingwei Lin 林庆维 December 2024
Publication Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维 TKDE’24 | November 2024
Publication ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang PVLDB’24 | July 2024, Vol abs/2307.00754
Publication Managing Memory Tiers with CXL in Virtualized Environments Yuhong Zhong, Daniel S. Berger, Carl Waldspurger, Ishwar Agarwal, Rajat Agarwal, Frank Hady, Karthik Kumar, Mark D. Hill, Mosharaf Chowdhury, Asaf Cidon USENIX OSDI | July 2024
Publication Concurrent Immediate Reference Counting Jaehwang Jung, Jeonghyeon Kim, Matthew J. Parkinson, Jeehoon Kang PACM PL | June 2024 Project
Publication Splitwise: Efficient generative LLM inference using phase splitting Pratyush Patel, Esha Choukse, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Ricardo Bianchini ISCA | June 2024 Project
Publication Designing Cloud Servers for Lower Carbon Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman ISCA | June 2024
Publication SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini ISCA | June 2024
Publication Optimizing Distributed Protocols with Query Rewrites David Chu, Rithvik Panchapakesan, Shadaj Laddad, Lucky Katahanas, Chris Liu, Kaushik Shivakumar, Natacha Crooks, Joe Hellerstein, Heidi Howard ACM International Conference on Management of Data (SIGMOD’24) | June 2024
Publication RASCAL: A Scalable, High-redundancy Robot for Automated Storage and Retrieval Systems Richard Black, Marco Caballero, Andromachi Chatzieleftheriou, Tim Deegan, Philip Heard, Freddie Hong, Russell Joyce, Sergey Legtchenko, Ant Rowstron, Adam Smith, David Sweeney, Hugh Williams 2024 IEEE International Conference on Robotics and Automation | May 2024 Project Project