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 CORE: Resolving Code Quality Issues using LLMs Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade (kanadeaditya), Suresh Parthasarathy (supartha), Sriram Rajamani (sriram) FSE | July 2024
Publication UniLog: Automatic Logging via LLM and In-Context Learning Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, , Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang June 2024
Publication FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang June 2024 CVPR 2024
Publication Xpert: Empowering Incident Management with Query Recommendations via Large Language Models Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, , Qingwei Lin 林庆维, Dongmei zhang June 2024
Publication Automatic Root Cause Analysis via Large Language Models for Cloud Incidents Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang EuroSys’24 | May 2024