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2020 – today
- 2024
- [c44]Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. ACL (Findings) 2024: 1638-1662 - [c43]Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. ACL (Findings) 2024: 4275-4295 - [c42]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. CIKM 2024: 4939-4947 - [c41]Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan:
Building AI Agents for Autonomous Clouds: Challenges and Design Principles. SoCC 2024: 99-110 - [c40]Kaikai An, Fangkai Yang, Junting Lu, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. ECAI 2024: 4471-4474 - [c39]Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rühle:
Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction. EMNLP (Industry Track) 2024: 120-131 - [c38]Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering. EMNLP 2024: 3392-3411 - [c37]Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. EMNLP (Findings) 2024: 3875-3891 - [c36]Yinfang Chen
, Huaibing Xie
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. EuroSys 2024: 674-688 - [c35]Junjielong Xu
UniLog: Automatic Logging via LLM and In-Context Learning. ICSE 2024: 14:1-14:12 - [c34]Yuxuan Jiang
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. ICSE 2024: 92:1-92:13 - [c33]Pooja Srinivas
Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach. ICSE-SEIP 2024: 381-391 - [c32]Zhaoyang Yu
Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. KDD 2024: 6190-6201 - [c31]Zhaoyang Yu
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. SIGSOFT FSE Companion 2024: 38-49 - [c30]Devjeet Roy
Exploring LLM-Based Agents for Root Cause Analysis. SIGSOFT FSE Companion 2024: 208-219 - [c29]Xuchao Zhang
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. SIGSOFT FSE Companion 2024: 266-277 - [c28]Dylan Zhang
LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents. SIGSOFT FSE Companion 2024: 388-398 - [c27]Drishti Goel
X-Lifecycle Learning for Cloud Incident Management using LLMs. SIGSOFT FSE Companion 2024: 417-428 - [c26]Supriyo Ghosh
Dependency Aware Incident Linking in Large Cloud Systems. WWW (Companion Volume) 2024: 141-150 - [c25]Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie:
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. WWW 2024: 3096-3105 - [i44]Lu Wang, Mayukh Das, Fangkai Yang, Junjie Sheng, Bo Qiao, Hang Dong, Si Qin, Victor Rühle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. CoRR abs/2401.07033 (2024) - [i43]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy. CoRR abs/2401.07051 (2024) - [i42]Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Contrastive Learning with Negative Sampling Correction. CoRR abs/2401.08690 (2024) - [i41]Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan:
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. CoRR abs/2401.13810 (2024) - [i40]Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Lingling Zheng, Ze Li, Yingnong Dang, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction. CoRR abs/2402.00034 (2024) - [i39]Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie:
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. CoRR abs/2402.02820 (2024) - [i38]Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
UFO: A UI-Focused Agent for Windows OS Interaction. CoRR abs/2402.07939 (2024) - [i37]Kaikai An, Fangkai Yang, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Qi Zhang:
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. CoRR abs/2402.17531 (2024) - [i36]Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan:
Exploring LLM-based Agents for Root Cause Analysis. CoRR abs/2403.04123 (2024) - [i35]Pooja Srinivas, Fiza Husain, Anjaly Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan:
Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach. CoRR abs/2403.07927 (2024) - [i34]Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. CoRR abs/2403.08593 (2024) - [i33]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:
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models. CoRR abs/2403.15157 (2024) - [i32]Supriyo Ghosh, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan:
Dependency Aware Incident Linking in Large Cloud Systems. CoRR abs/2403.18639 (2024) - [i31]Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan:
X-lifecycle Learning for Cloud Incident Management using LLMs. CoRR abs/2404.03662 (2024) - [i30]Lexiang Huang, Anjaly Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit A. Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini:
Workload Intelligence: Punching Holes Through the Cloud Abstraction. CoRR abs/2404.19143 (2024) - [i29]Rya Sanovar, Srikant Bharadwaj, Renée St. Amant, Victor Rühle, Saravan Rajmohan:
Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers. CoRR abs/2405.10480 (2024) - [i28]Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection. CoRR abs/2405.15370 (2024) - [i27]Hang Dong, Liwen Zhu, Zhao Shan, Bo Qiao, Fangkai Yang, Si Qin, Chuan Luo, Qingwei Lin, Yuwen Yang, Gurpreet Virdi, Saravan Rajmohan, Dongmei Zhang, Thomas Moscibroda:
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing. CoRR abs/2406.01047 (2024) - [i26]Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation. CoRR abs/2406.13372 (2024) - [i25]Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. CoRR abs/2406.19251 (2024) - [i24]Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan:
Building AI Agents for Autonomous Clouds: Challenges and Design Principles. CoRR abs/2407.12165 (2024) - [i23]Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
The Vision of Autonomic Computing: Can LLMs Make It a Reality? CoRR abs/2407.14402 (2024) - [i22]Mengkang Hu, Pu Zhao, Can Xu, Qingfeng Sun, Jianguang Lou, Qingwei Lin, Ping Luo, Saravan Rajmohan, Dongmei Zhang:
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation. CoRR abs/2408.00764 (2024) - [i21]Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering. CoRR abs/2408.04259 (2024) - [i20]Kunal Jain, Anjaly Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan:
Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling. CoRR abs/2408.13510 (2024) - [i19]Junting Lu, Zhiyang Zhang, Fangkai Yang, Jue Zhang, Lu Wang, Chao Du, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. CoRR abs/2409.17140 (2024) - 2023
- [j2]Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. Proc. VLDB Endow. 17(3): 359-372 (2023) - [c24]Fangkai Yang, Lu Wang, Zhenyu Xu
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs. ASPLOS (3) 2023: 631-643 - [c23]Xiaoting Qin, Minghua Ma, Yuheng Zhao
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads. DSN 2023: 522-530 - [c22]Fangkai Yang, Pu Zhao, Zezhong Wang, Lu Wang, Bo Qiao, Jue Zhang, Mohit Garg, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. EMNLP (Industry Track) 2023: 294-312 - [c21]Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection. ICLR 2023 - [c20]Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
CONAN: Diagnosing Batch Failures for Cloud Systems. ICSE-SEIP 2023: 138-149 - [c19]Zhengran Zeng, Yuqun Zhang, Yong Xu, Minghua Ma, Bo Qiao, Wentao Zou, Qingjun Chen, Meng Zhang, Xu Zhang, Hongyu Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems. ICSE-SEIP 2023: 258-269 - [c18]Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan:
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. ICSE 2023: 1737-1749 - [c17]Jinyang Liu
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. ICSE 2023: 2299-2311 - [c16]Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud. ISSRE 2023: 298-308 - [c15]Zhangchi Zhu
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. KDD 2023: 3663-3673 - [c14]Lu Wang
Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. KDD 2023: 5116-5125 - [c13]Pengxiang Jin
Assess and Summarize: Improve Outage Understanding with Large Language Models. ESEC/SIGSOFT FSE 2023: 1657-1668 - [c12]Shilin He
STEAM: Observability-Preserving Trace Sampling. ESEC/SIGSOFT FSE 2023: 1750-1761 - [c11]Ruomeng Ding
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. ESEC/SIGSOFT FSE 2023: 1762-1773 - [c10]Fangkai Yang
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. ESEC/SIGSOFT FSE 2023: 2050-2055 - [c9]Qingwei Lin
EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. WWW (Companion Volume) 2023: 371-375 - [c8]Tong Cheng
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem. WWW (Companion Volume) 2023: 391-395 - [c7]Junjie Sheng
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. WWW 2023: 2927-2936 - [i18]Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan:
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. CoRR abs/2301.03797 (2023) - [i17]Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu:
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. CoRR abs/2302.09520 (2023) - [i16]Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, Fangkai Yang, Shuang Li, Pu Zhao, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Introspective Tips: Large Language Model for In-Context Decision Making. CoRR abs/2305.11598 (2023) - [i15]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:
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. CoRR abs/2305.15778 (2023) - [i14]Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Assess and Summarize: Improve Outage Understanding with Large Language Models. CoRR abs/2305.18084 (2023) - [i13]Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. CoRR abs/2307.00754 (2023) - [i12]Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. CoRR abs/2308.00279 (2023) - [i11]Xuchao Zhang, Menglin Xia, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rühle:
Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance. CoRR abs/2308.04215 (2023) - [i10]Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Diffusion-based Time Series Data Imputation for Microsoft 365. CoRR abs/2309.02564 (2023) - [i9]Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan:
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis. CoRR abs/2309.05833 (2023) - [i8]Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. CoRR abs/2310.18740 (2023) - [i7]Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. CoRR abs/2311.04254 (2023) - [i6]Lukas Wutschitz, Boris Köpf, Andrew Paverd, Saravan Rajmohan, Ahmed Salem, Shruti Tople, Santiago Zanella Béguelin, Menglin Xia, Victor Rühle:
Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective. CoRR abs/2311.15792 (2023) - [i5]Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
TaskWeaver: A Code-First Agent Framework. CoRR abs/2311.17541 (2023) - [i4]Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. CoRR abs/2312.11988 (2023) - 2022
- [j1]Yichen Li
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. ACM SIGOPS Oper. Syst. Rev. 56(1): 1-7 (2022) - [c6]Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification. IJCAI 2022: 2406-2412 - [c5]Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang:
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach. KDD 2022: 2169-2179 - [c4]Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems. KDD 2022: 3438-3446 - [c3]Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang:
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. KDD 2022: 4032-4040 - [c2]Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Iñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Spot Virtual Machine Eviction Prediction in Microsoft Cloud. WWW (Companion Volume) 2022: 152-156 - [c1]Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
UniParser: A Unified Log Parser for Heterogeneous Log Data. WWW 2022: 1893-1901 - [i3]Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
UniParser: A Unified Log Parser for Heterogeneous Log Data. CoRR abs/2202.06569 (2022) - [i2]Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang:
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach. CoRR abs/2207.11122 (2022) - [i1]Junjie Sheng
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. CoRR abs/2211.11759 (2022)
Coauthor Index
[c44] [c43] [c42] [c40] [c38] [c37] [c36] [c35] [c34] [c32] [c31] [c25] [i44] [i43] [i42] [i40] [i39] [i38] [i37] [i34] [i33] [i28] [i27] [i26] [i25] [i23] [i22] [i21] [i19] [j2] [c24] [c23] [c22] [c21] [c20] [c19] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i17] [i16] [i15] [i14] [i13] [i12] [i10] [i8] [i7] [i5] [i4] [j1] [c6] [c5] [c4] [c3] [c2] [c1] [i3] [i2] [i1]
[c44] [c43] [c42] [c40] [c38] [c37] [c36] [c35] [c34] [c32] [c31] [c25] [i44] [i43] [i42] [i40] [i39] [i38] [i34] [i33] [i28] [i27] [i26] [i25] [i23] [i22] [i21] [i19] [j2] [c24] [c23] [c22] [c21] [c20] [c19] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i17] [i16] [i15] [i14] [i13] [i12] [i10] [i8] [i7] [i5] [i4] [j1] [c6] [c5] [c4] [c3] [c2] [c1] [i3] [i2] [i1]
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last updated on 2024-11-22 19:46 CET by the dblp team
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