Changhua Pei (裴昶华)

 

Associate Professor
Computer Network Information Center (CNIC), Chinese Academy of Sciences (CAS)

Email: changhuapei [at] gmail.com
Add: CAS Informatization Plaza No.2 Dong Sheng Nan Lu, Haidian District, Beijing 100083, China

Research Interests: AIOps, AI for IT Operations, AI for Networking, Networking, Recommendation


Education and Experience | Publications | Invited Talks | News | Professional Activities



News

  • Congratulations to Zhaoyang Yu et al. on our CCGRID 2024 paper! (Updated on 2024.02)
  • Congratulations to Zexin Wang et al. on our WebConf 2024 paper!
  • Congratulations to Zulong Diao et al. on our journal paper in TMC!
  • We are excited to announce the release of a benchmark designed to assess the performance of Large Language Models (LLMs) in the field of AIOps. For more details, please visit our website at https://opseval.cstcloud.cn/.
  • Our ISSRE 2023 paper has just been awarded the Best Paper in the research track at the recently concluded ISSRE conference held in Italy. Congratulations to Zhaoyang Yu and his collaborators!
  • Our ISSRE 2023 paper has been nominated as the best paper candidate, standing out as one of the top 3 among 247 submissions.
  • Congratulations to Haotian Si et al. and Zhe Xie et al. on our ESEC/FSE 2023 papers!
  • Congratulations to Zhaoyang Yu et al. on our ISSRE 2023 paper!
  • Congratulations to Qingyang Yu et al. on our WebConf 2023 paper!
  • Congratulations to Ruohan Zhan et al. on our SIGKDD 2022 paper!
  • Invited Talks

  • 运维大模型展望(OpsLLM: Enhancing AIOps with the Power of Large Language Models), 中国计算机学会网络大会(ChinaNet 2023), 温州(Wenzhou), 中国(China), 08/09/2023 (Talk Presented in Chinese)
  • Professional Activities

  • PC Member of WWW 2024.
  • PC Member of SDM 2024.
  • PC Member of SIGKDD 2023,2024.
  • Publications

    [Google Scholar]

    Journal and Conference Papers

      (*: equal contribution; Corresponding authors are underlined.)

      Preprints

    1. Yuhe Liu, Changhua Pei, Longlong Xu, Bohan Chen, Mingze Sun, Zhirui Zhang, Yongqian Sun, Shenglin Zhang, Kun Wang, Haiming Zhang, Jianhui Li, Gaogang Xie, Xidao Wen, Xiaohui Nie, Dan Pei. OpsEval: A Comprehensive Task-Oriented AIOps Benchmark for Large Language Models. [PDF] [BENCHMARK]
    2. 2024

    3. Zhaoyang Yu, Qianyu Ouyang, Changhua Pei, Xin Wang, Wenxiao Chen, Liangfei Su, Huai Jiang, Xuanrun Wang, Jianhui Li, Dan Pei.Causality Enhanced Graph 
      Representation Learning for Alert-Based Root Cause Analysis. The 24th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing. (CCGRID 2024)
    4. 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. The World Wide Web Conference. (WWW 2024)[PDF] [CODES]
    5. 2023

    6. Zulong Diao, Xin Wang, Dafang Zhang, Gaogang Xie, Jianguo Chen, Changhua Pei, Xuying Meng, Kun Xie, Guangxing Zhang. DMSTG: Dynamic Multiview Spatio-Temporal Networks for Traffic Forecasting. IEEE Transactions on Mobile Computing. (TMC)
    7. Haotian Si, Changhua Pei, Zhihan Li, Yadong Zhao, Jingjing Li, Haiming Zhang, Zulong Diao, Jianhui Li, Gaogang Xie, Dan Pei. Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection. The 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. (ESEC/FSE 2023 Industry Track) [PDF] [CODES]
    8. Zhe Xie, Changhua Pei, Wanxue Li, Huai Jiang, Liangfei Su, Jianhui Li, Gaogang Xie, Dan Pei. From Point-wise to Group-wise: A Fast and Accurate Microservice Trace Anomaly Detection Approach. The 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. (ESEC/FSE 2023 Industry Track) [PDF] [CODES]
    9. Zhaoyang Yu, Changhua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei. AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment. The 33rd IEEE International Symposium on Software Reliability Engineering. (ISSRE 2023) [Best Paper Award] [PDF] [CODES]
    10. Qingyang Yu, Changhua Pei, Bowen Hao, Mingjie Li, Zeyan Li, Shenglin Zhang, Xianglin Lu, Rui Wang, Jiaqi Li, Zhenyu Wu, Dan Pei. CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data. The World Wide Web Conference. (WWW 2023)[PDF] [CODES]
    11. 2022

    12. Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang, Kun Gai. Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2022)[PDF]
    13. Qiwei Chen, Yue Xu, Changhua Pei, Shanshan Lv; Tao Zhuang; Junfeng Ge. Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction. 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD (DLP-KDD 2022)
    14. 2021

    15. Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang. Variation control and evaluation for generative slate recommendations. Proceedings of the Web Conference 2021 (WWW 2021)
    16. Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang. Towards long-term fairness in recommendation. Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021)
    17. 2020

    18. Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Fei Sun, Jian Wu, Hanxiao Sun, Wenwu Ou. Privileged features distillation at Taobao recommendations. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020)
    19. Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang. Understanding echo chambers in e-commerce recommender systems. Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval. (SIGIR 2020)
    20. 2019

    21. Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang. BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer. Proceedings of the 28th ACM international conference on information and knowledge management (CIKM 2019) [PDF]
    22. Changhua Pei, Yi Zhang*, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Junfeng Ge, Wenwu Ou, Dan Pei. Personalized re-ranking for recommendation. Proceedings of the 13th ACM conference on recommender systems (RecSys 2019) [PDF] [CODES]
    23. Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang. A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation. Proceedings of the 13th ACM Conference on recommender systems. (RecSys 2019) [Best Paper Honorable Mention]
    24. Changhua Pei, Xinru Yang*, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang. Value-aware recommendation based on reinforcement profit maximization. The World Wide Web Conference. (WWW 2019)
    25. 2018

    26. Guoshun Nan, Xiuquan Qiao, Jiting Wang, Zeyan Li, Jiahao Bu, Changhua Pei, Mengyu Zhou, Dan Pei. The Frame Latency of Personalized Livestreaming Can Be Significantly Slowed Down by WiFi. 2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC 2018).
    27. Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang. Multi-source pointer network for product title summarization. Proceedings of the 27th ACM International Conference on Information and Knowledge Management. (CIKM 2018).
    28. 2017

    29. Changhua Pei, Youjian Zhao, Guo Chen, Yuan Meng, Yang Liu, Ya Su, Yaodong Zhang, Ruming Tang, Dan Pei. How Much Are Your Neighbors Interfering with Your WiFi Delay? 2017 26th International Conference on Computer Communication and Networks (ICCCN 2017)
    30. Changhua Pei, Youjian Zhao, Yunxin Liu, Kun Tan, Jiansong Zhang, Yuan Meng, Dan Pei. Latency-based WiFi congestion control in the air for dense WiFi networks. 2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS 2017)
    31. Changhua Pei, Zhi Wang, Youjian Zhao, Zihan Wang, Yuan Meng, Dan Pei, Yuanquan Peng, Wenliang Tang, Xiaodong Qu. Why it takes so long to connect to a WiFi access point. IEEE INFOCOM 2017-IEEE Conference on Computer Communications. (INFOCOM 2017) [Reported by MIT Technology Review.]
    32. Dan Pei, Shenglin Zhang, Changhua Pei. Intelligent operation and maintenance based on machine learning. Communications of the CCF.
    33. 2016

    34. Changhua Pei, Youjian Zhao, Guo Chen, Ruming Tang, Yuan Meng, Minghua Ma, Ken Ling, Dan Pei. WiFi can be the weakest link of round trip network latency in the wild. The 35th Annual IEEE International Conference on Computer Communications. (INFOCOM 2016) [Best Paper Award at The 9th International Doctoral Forum]

    Education and Experience

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