Chaoyun Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
15
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Zipage: Maintain High Request Concurrency for LLM Reasoning through Compressed PagedAttention. | Mengqi Liao, Lu Wang, Chaoyun Zhang, Bo Qiao, Si Qin, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Huaiyu Wan |
| 2025 | ACL | DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale. | Linghao Zhang, Junhao Wang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Jiaheng Wen, Chengxing Xie, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | ICDE | AllHands :Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models. | Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | ICLR | RuAG: Learned-rule-augmented Generation for Large Language Models. | Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2025 | ICLR | OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? | Junjielong Xu, Qinan Zhang, Zhiqing Zhong, Shilin He, Chaoyun Zhang, Qingwei Lin, Dan Pei, Pinjia He, Dongmei Zhang, Qi Zhang |
| 2025 | ISSRE | An Empirical Study of Production Incidents in Generative AI Cloud Services. | Haoran Yan, Yinfang Chen, Minghua Ma, Ming Wen, Shan Lu, Shenglin Zhang, Tianyin Xu, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Chaoyun Zhang, Dongmei Zhang |
| 2025 | KDD | Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection. | Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2025 | NAACL | UFO: A UI-Focused Agent for Windows OS Interaction. | Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2024 | ACL | Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. | Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2024 | ACL | Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. | Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2024 | ACL | QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction. | Xiang Huang, Sitao Cheng, Shanshan Huang, Jiayu Shen, Yong Xu, Chaoyun Zhang, Yuzhong Qu |
| 2024 | CLOUD | Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure. | Chaoyun Zhang, Randolph Yao, Si Qin, Ze Li, Shekhar Agrawal, Binit R. Mishra, Tri Tran, Minghua Ma, Qingwei Lin, Murali Chintalapati, Dongmei Zhang |
| 2024 | EuroSys | 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, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu |
| 2024 | ICSE | 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, Dongmei Zhang |
| 2024 | ISSRE | Large Language Models Can Provide Accurate and Interpretable Incident Triage. | Zexin Wang, Jianhui Li, Minghua Ma, Ze Li, Yu Kang, Chaoyun Zhang, Chetan Bansal, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Changhua Pei, Gaogang Xie |
| 2023 | KDD | Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. | Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2022 | CIKM | QuickSkill: Novice Skill Estimation in Online Multiplayer Games. | Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan, Yingjie Li, Lifang Wu, Bingchao Zheng |
| 2022 | ICDE | Field-aware Variational Autoencoders for Billion-scale User Representation Learning. | Ge Fan, Chaoyun Zhang, Junyang Chen, Baopu Li, Zenglin Xu, Yingjie Li, Luyu Peng, Zhiguo Gong |
| 2021 | AAAI | CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. | Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras |
| 2021 | GLOBECOM | Spider: Deep Learning-driven Sparse Mobile Traffic Measurement Collection and Reconstruction. | Yini Fang, Alec F. Diallo, Chaoyun Zhang, Paul Patras |
| 2020 | MOBICOM | Microscope: mobile service traffic decomposition for network slicing as a service. | Chaoyun Zhang, Marco Fiore, Cezary Ziemlicki, Paul Patras |
| 2018 | AAAI | Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring. | Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton |
| 2018 | MOBIHOC | Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks. | Chaoyun Zhang, Paul Patras |
| 2017 | CoNEXT | ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network. | Chaoyun Zhang, Xi Ouyang, Paul Patras |