Si Qin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
17
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
27 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 | 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 | IJCAI | Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning. | Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng |
| 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 | 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 | CIKM | COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. | Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Qi Zhang |
| 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 | 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 |
| 2023 | ASPLOS | Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs. | Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, igo Goiri, Eli Cortez, Terry Yang, Victor Rhle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2023 | DSN | How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads. | Xiaoting Qin, Minghua Ma, Yuheng Zhao, Jue Zhang, Chao Du, Yudong Liu, Anjaly Parayil, Chetan Bansal, Saravan Rajmohan, igo Goiri, Eli Cortez, Si Qin, Qingwei Lin, Dongmei Zhang |
| 2023 | ISSRE | CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud. | Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2023 | WWW | Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem. | Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda |
| 2023 | WWW | HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering. | Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin, Dongmei Zhang |
| 2023 | WWW | Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. | Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2022 | KDD | Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach. | Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang |
| 2022 | OSDI | RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure. | Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin, Murali Chintalapati |
| 2022 | WWW | Spot Virtual Machine Eviction Prediction in Microsoft Cloud. | Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Iigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rhle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2021 | EuroSys | CARE: Infusing Causal Aware Thinking to Root Cause Analysis in Cloud System. | Yong Xu, Xu Zhang, Chuan Luo, Si Qin, Rohit Pandey, Chao Du, Qingwei Lin, Yingnong Dang, Andrew Zhou |
| 2021 | IJCAI | Predictive Job Scheduling under Uncertain Constraints in Cloud Computing. | Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda |
| 2021 | KDD | HALO: Hierarchy-aware Fault Localization for Cloud Systems. | Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang |
| 2019 | USENIX | Cross-dataset Time Series Anomaly Detection for Cloud Systems. | Xu Zhang, Qingwei Lin, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang |
| 2017 | ICASSP | Robust DOA estimation in the presence of mis-calibrated sensors. | Ben Wang, Si Qin, Yimin D. Zhang, Moeness G. Amin |
| 2016 | ICASSP | Generalized coprime sampling of Toeplitz matrices. | Si Qin, Yimin D. Zhang, Moeness G. Amin, Abdelhak M. Zoubir |
| 2015 | ICASSP | Doa estimation of nonparametric spreading spatial spectrum based on bayesian compressive sensing exploiting intra-task dependency. | Si Qin, Qisong Wu, Yimin D. Zhang, Moeness G. Amin |
| 2014 | ICASSP | Doa estimation exploiting coprime arrays with sparse sensor spacing. | Yimin D. Zhang, Si Qin, Moeness G. Amin |