Congratulations to Zhenhe Yao et al., Haotian Si et al., Zexin Wang et al., and Zihan Liu on our ISSRE 2024 papers! (Updated on 2024.09)
Congratulations to Yue Wang et al. on our LCN 2024 paper! (Updated on 2024.09)
Congratulations to Zhaoyang Yu et al. on our SIGKDD 2024 paper! (Updated on 2024.05)
Congratulations to Zhenhe Yao et al. and Zhaoyang Yu et al. on our ESEC/FSE 2024 papers!
Congratulations to Zhaoyang Yu et al. on our CCGRID 2024 paper!
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!
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)
(*: equal contribution; Corresponding authors are underlined.)
Preprints
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]
2024
Yue Wang, Changhua Pei, Zexin Wang, Yingqiang Wang, Guo Chen, Yuchao Zhang, Yi Li, Jingjing Li, Jianhui LI, Gaogang Xie. ActiveDNS: Is There Room for DNS Optimization Beyond CDNs? The 49th IEEE Conference on Local Computer Networks. (LCN 2024) [PDF] [CODES]
Haotian Si, Jianhui Li, Changhua Pei, Hang Cui, Jingwen Yang, Yongqian Sun, Shenglin Zhang, Jingjing Li, Haiming Zhang, Jing Han, Dan Pei, Gaogang Xie. TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models. The 34th IEEE International Symposium on Software Reliability Engineering. (ISSRE 2024) [PDF] [CODES] [BENCHMARK]
Zexin Wang, Jianhui Li, Minghua Ma, Ze Li, Yu Kang, Chaoyun Zhang, Chetan Bansal, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Changhua Pei, Gaogang Xie. Large Language Models Can Provide Accurate and Interpretable Incident Triage. The 34th IEEE International Symposium on Software Reliability Engineering. (ISSRE 2024) [PDF] [CODES]
Changhua Pei, Zihan Liu, Jianhui Li, Erhan Zhang, Le Zhang, Haiming Zhang, Wei Chen, Dan Pei, Gaogang Xie. Self-Evolutionary Group-wise Log Parsing Based on Large Language Model. The 34th IEEE International Symposium on Software Reliability Engineering. (ISSRE 2024) [PDF] [CODES]
Zhenhe Yao, Haowei Ye, Changhua Pei, Guang Cheng, Guangpei Wang, Zhiwei Liu, Hongwei Chen, Hang Cui, Zeyan Li, Jianhui Li, Gaogang Xie, Dan Pei. SparseRCA: Unsupervised Root Cause Analysis in Sparse Microservice Testing Traces. The 34th IEEE International Symposium on Software Reliability Engineering. (ISSRE 2024) [PDF]
Zhaoyang Yu, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei. Pre-trained KPI Anomaly Detection Model Based on Disentangled Transformer. 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. (KDD 2024) [PDF] [CODES]
Zhenhe Yao, Changhua Pei, Wenxiao Chen, Hanzhang Wang, Liangfei Su, Huai Jiang, Zhe Xie, Xiaohui Nie, Dan Pei. Chain-of-Event: Interpretable Root Cause Analysis for Microservices through Automatically Learning Weighted Event Causal Graph. The 32nd ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. (ESEC/FSE 2024 Industry Track) [PDF] [CODES]
Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin, Dongmei Zhang. MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. The 32nd ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. (ESEC/FSE 2024 Industry Track) [PDF]
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)
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]
2023
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)
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]
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]
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]
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]
2022
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]
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)
2021
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)
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)
2020
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)
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)
2019
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]
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]
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]
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)
2018
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).
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).
2017
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)
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)
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.]
Dan Pei, Shenglin Zhang, Changhua Pei. Intelligent operation and maintenance based on machine learning. Communications of the CCF.
2016
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]
I'm an associate professor at CNIC, CAS. Before joining CNIC, I was a senior algorithm expert at Kuaishou and an algorithm expert at Alibaba. I was also a Post-doc, jointly sponsored with Tsinghua and Alibaba. I recieved my PhD (Advisor: Youjian Zhao, Co-Advisor: Dan Pei) and bachelor's degree in Computer Science and Technology from Tsinghua University in 2017 and 2012.
