Pu Zhao

According to our database, Pu Zhao authored at least 46 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation.

Mengkang Hu, Pu Zhao, Can Xu, Qingfeng Sun, Jianguang Lou, Qingwei Lin, Ping Luo, Saravan Rajmohan, Dongmei Zhang

CoRR, 2024

Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena.

Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen

CoRR, 2024

Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation.

Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides.

Kaikai An, Fangkai Yang, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Qi Zhang

CoRR, 2024

Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction.

Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Lingling Zheng, Ze Li, Yingnong Dang, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

CoRR, 2024

Contrastive Learning with Negative Sampling Correction.

Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction.

Chiming Duan, Fangkai Yang, Pu Zhao, Lingling Zheng, Yash Dagli, Yudong Liu, Qingwei Lin, Dongmei Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

SELF-GUARD: Empower the LLM to Safeguard Itself.

Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions.

Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

WizardCoder: Empowering Code Large Language Models with Evol-Instruct.

Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides.

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

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

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, Saravan Rajmohan, Dongmei Zhang

CoRR, 2023

Diffusion-based Time Series Data Imputation for Microsoft 365.

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

CoRR, 2023

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang

CoRR, 2023

Introspective Tips: Large Language Model for In-Context Decision Making.

Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, Fangkai Yang, Shuang Li, Pu Zhao, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

CoRR, 2023

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering.

Zezhong Wang, Fangkai Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin, Dongmei Zhang

CoRR, 2023

Augmented Large Language Models with Parametric Knowledge Guiding.

Ziyang Luo, Can Xu, Pu Zhao, Xiubo Geng, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

CoRR, 2023

WizardLM: Empowering Large Language Models to Follow Complex Instructions.

Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Daxin Jiang

CoRR, 2023

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval.

Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwen Lin, Daxin Jiang

CoRR, 2023

HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering.

Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin, Dongmei Zhang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction.

Qingwei Lin, Tianci Li, Pu Zhao, Yudong Liu, Minghua Ma, Lingling Zheng, Murali Chintalapati, Bo Liu, Paul Wang, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365.

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

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Assess and Summarize: Improve Outage Understanding with Large Language Models.

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

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction.

Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval.

Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering.

Fangkai Yang, Pu Zhao, Zezhong Wang, Lu Wang, Bo Qiao, Jue Zhang, Mohit Garg, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation.

Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

An empirical investigation of missing data handling in cloud node failure prediction.

Minghua Ma, Yudong Liu, Yuang Tong, Haozhe Li, Pu Zhao, Yong Xu, Hongyu Zhang, Shilin He, Lu Wang, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365.

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems.

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification.

Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms.

Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Fighting the Fog of War: Automated Incident Detection for Cloud Systems.

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

Effective low capacity status prediction for cloud systems.

Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction.

Pu Zhao, Chuan Luo, Cheng Zhou, Bo Qiao, Jiale He, Liangjie Zhang, Qingwei Lin

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining.

Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

AutoCCAG: An Automated Approach to Constrained Covering Array Generation.

Chuan Luo, Jinkun Lin, Shaowei Cai, Xin Chen, Bing He, Bo Qiao, Pu Zhao, Qingwei Lin, Hongyu Zhang, Wei Wu, Saravanakumar Rajmohan, Dongmei Zhang

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector.

Chuan Luo, Pu Zhao, Chen Chen, Bo Qiao, Chao Du, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems.

Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.

Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Efficient customer incident triage via linking with system incidents.

Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, Dongmei Zhang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Identifying linked incidents in large-scale online service systems.

Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Towards intelligent incident management: why we need it and how we make it.

Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin, Dongmei Zhang, Michael R. Lyu

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions.

Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga K. Govindaraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Intelligent Virtual Machine Provisioning in Cloud Computing.

Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020