Xiaoting Qin

Senior Researcher

Publications

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- CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
  
  Wenjie Fu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Lukas Wutschitz, Robert Sim, Saravan Rajmohan, Dongmei Zhang
  
  ACL Industry Track | July 2026
  
  Publication
- EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video
  
  Yuanmin Tang, Jue Zhang, Xiaoting Qin, Jing Yu, Meikang Qiu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  ACL Findings | July 2026
  
  Publication
- Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) | November 2025
  
  Publication
- MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
  
  Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP) | November 2025
  
  Publication
- Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
  
  Shouju Wang, Fenglin Yu, Xirui Liu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan
  
  2025 Empirical Methods in Natural Language Processing | November 2025
  
  Publication
- Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
  
  Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  CVPR'25 | June 2025
  
  Preprint
- Towards Cloud Efficiency with Large-scale Workload Characterization
  
  A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
  
  ICPE | May 2025
  
  Preprint
- 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 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ICDE'25 | May 2025
  
  Preprint
- Performance Aware LLM Load Balancer for Mixed Workloads
  
  Kunal Jain, A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan
  
  EuroMLSys 2025 | April 2025
  
  Publication Project
- Enabling Autonomic Microservice Management through Self-Learning Agents
  
  Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  January 2025
  
  Preprint
- AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
  
  Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  EMNLP'24 | November 2024
  
  Preprint
- Sharingan: Extract user action sequence from desktop recordings
  
  Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  November 2024
  
  Preprint
- Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
  
  Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  IUI'25 | October 2024
  
  Publication
- AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
  
  Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  September 2024
  
  Preprint
- Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
  
  A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | August 2024, Vol abs/2408.13510
  
  Preprint
- 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 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ACL 2024 | August 2024
  
  Publication
- The Vision of Autonomic Computing: Can LLMs Make It a Reality?
  
  Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  July 2024
  
  Preprint
- Workload Intelligence: Punching Holes Through the Cloud Abstraction
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  ArXiv | April 2024, Vol abs/2404.19143
  
  Preprint
- Workload Intelligence: Punching Holes Through the Cloud Abstraction
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  April 2024
  
  Preprint
- TaskWeaver: A Code-First Agent Framework
  
  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 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  December 2023
  
  Publication
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
  
  Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
  
  DSN'23 | June 2023
  
  Publication

- EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video
  
  Yuanmin Tang, Jue Zhang, Xiaoting Qin, Jing Yu, Meikang Qiu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  ACL Findings | July 2026
  
  Publication
- CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
  
  Wenjie Fu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Lukas Wutschitz, Robert Sim, Saravan Rajmohan, Dongmei Zhang
  
  ACL Industry Track | July 2026
  
  Publication
- Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) | November 2025
  
  Publication
- Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
  
  Shouju Wang, Fenglin Yu, Xirui Liu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan
  
  2025 Empirical Methods in Natural Language Processing | November 2025
  
  Publication
- MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
  
  Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP) | November 2025
  
  Publication
- Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
  
  Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  CVPR'25 | June 2025
  
  Preprint
- Towards Cloud Efficiency with Large-scale Workload Characterization
  
  A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
  
  ICPE | May 2025
  
  Preprint
- 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 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ICDE'25 | May 2025
  
  Preprint
- Performance Aware LLM Load Balancer for Mixed Workloads
  
  Kunal Jain, A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan
  
  EuroMLSys 2025 | April 2025
  
  Publication Project
- Enabling Autonomic Microservice Management through Self-Learning Agents
  
  Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  January 2025
  
  Preprint
- Sharingan: Extract user action sequence from desktop recordings
  
  Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  November 2024
  
  Preprint
- AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
  
  Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  EMNLP'24 | November 2024
  
  Preprint
- Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
  
  Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  IUI'25 | October 2024
  
  Publication
- AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
  
  Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  September 2024
  
  Preprint
- Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
  
  A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | August 2024, Vol abs/2408.13510
  
  Preprint
- 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 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ACL 2024 | August 2024
  
  Publication
- The Vision of Autonomic Computing: Can LLMs Make It a Reality?
  
  Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  July 2024
  
  Preprint
- Workload Intelligence: Punching Holes Through the Cloud Abstraction
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  April 2024
  
  Preprint
- TaskWeaver: A Code-First Agent Framework
  
  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 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  December 2023
  
  Publication
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
  
  Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  CVPR'25 | June 2025
  
  Preprint
- Towards Cloud Efficiency with Large-scale Workload Characterization
  
  A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
  
  ICPE | May 2025
  
  Preprint
- Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
  
  A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | August 2024, Vol abs/2408.13510
  
  Preprint
- Workload Intelligence: Punching Holes Through the Cloud Abstraction
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  ArXiv | April 2024, Vol abs/2404.19143
  
  Preprint
- How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
  
  Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
  
  DSN'23 | June 2023
  
  Publication
- AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
  
  Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  September 2024
  
  Preprint
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication

- EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video
  
  Yuanmin Tang, Jue Zhang, Xiaoting Qin, Jing Yu, Meikang Qiu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  ACL Findings | July 2026
  
  Publication
- CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
  
  Wenjie Fu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Lukas Wutschitz, Robert Sim, Saravan Rajmohan, Dongmei Zhang
  
  ACL Industry Track | July 2026
  
  Publication
- Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) | November 2025
  
  Publication
- Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
  
  Shouju Wang, Fenglin Yu, Xirui Liu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan
  
  2025 Empirical Methods in Natural Language Processing | November 2025
  
  Publication
- MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
  
  Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP) | November 2025
  
  Publication
- Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
  
  Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  CVPR'25 | June 2025
  
  Preprint
- Towards Cloud Efficiency with Large-scale Workload Characterization
  
  A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
  
  ICPE | May 2025
  
  Preprint
- 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 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ICDE'25 | May 2025
  
  Preprint
- Performance Aware LLM Load Balancer for Mixed Workloads
  
  Kunal Jain, A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan
  
  EuroMLSys 2025 | April 2025
  
  Publication Project
- AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
  
  Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  EMNLP'24 | November 2024
  
  Preprint
- Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
  
  Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  IUI'25 | October 2024
  
  Publication
- 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 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ACL 2024 | August 2024
  
  Publication
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
  
  Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
  
  DSN'23 | June 2023
  
  Publication
- Enabling Autonomic Microservice Management through Self-Learning Agents
  
  Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  January 2025
  
  Preprint
- Sharingan: Extract user action sequence from desktop recordings
  
  Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  November 2024
  
  Preprint
- AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
  
  Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  September 2024
  
  Preprint
- Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
  
  A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | August 2024, Vol abs/2408.13510
  
  Preprint
- The Vision of Autonomic Computing: Can LLMs Make It a Reality?
  
  Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  July 2024
  
  Preprint
- Workload Intelligence: Punching Holes Through the Cloud Abstraction
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  ArXiv | April 2024, Vol abs/2404.19143
  
  Preprint
- Workload Intelligence: Punching Holes Through the Cloud Abstraction
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  April 2024
  
  Preprint
- TaskWeaver: A Code-First Agent Framework
  
  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 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  December 2023
  
  Publication

Xiaoting Qin

Publications

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents

EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video

Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf

Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents

Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval

Towards Cloud Efficiency with Large-scale Workload Characterization

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

Performance Aware LLM Load Balancer for Mixed Workloads

Enabling Autonomic Microservice Management through Self-Learning Agents

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation

Sharingan: Extract user action sequence from desktop recordings

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments

The Vision of Autonomic Computing: Can LLMs Make It a Reality?

Workload Intelligence: Punching Holes Through the Cloud Abstraction

Workload Intelligence: Punching Holes Through the Cloud Abstraction

TaskWeaver: A Code-First Agent Framework

Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads

EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents

Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency

Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf

Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval

Towards Cloud Efficiency with Large-scale Workload Characterization

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

Performance Aware LLM Load Balancer for Mixed Workloads

Enabling Autonomic Microservice Management through Self-Learning Agents

Sharingan: Extract user action sequence from desktop recordings

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments

The Vision of Autonomic Computing: Can LLMs Make It a Reality?

Workload Intelligence: Punching Holes Through the Cloud Abstraction

TaskWeaver: A Code-First Agent Framework

Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets

Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval

Towards Cloud Efficiency with Large-scale Workload Characterization

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling

Workload Intelligence: Punching Holes Through the Cloud Abstraction

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets

EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents

Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency

Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf

Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval

Towards Cloud Efficiency with Large-scale Workload Characterization

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

Performance Aware LLM Load Balancer for Mixed Workloads

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments

Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads

Enabling Autonomic Microservice Management through Self-Learning Agents

Sharingan: Extract user action sequence from desktop recordings

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling

The Vision of Autonomic Computing: Can LLMs Make It a Reality?

Workload Intelligence: Punching Holes Through the Cloud Abstraction

Workload Intelligence: Punching Holes Through the Cloud Abstraction

TaskWeaver: A Code-First Agent Framework