基本信息

裴昶华  男    中国科学院计算机网络信息中心
电子邮件: chpei@cnic.cn
通信地址: 北京市海淀区中科院信息化大厦
邮政编码:100083

研究领域

运维大模型、异常检测、根因定位、AI for Networking

招生信息

   
招生专业
081201-计算机系统结构
081203-计算机应用技术
招生方向
智能运维,机器学习,AI for Networking, 计算机网络

教育背景

2012-09--2017-06   清华大学   博士
2008-09--2012-06   清华大学   学士

承担课题

中科院青年人才计划入选者,承担中国科学院“十四五”科教基础设施建设专项智能运管项目,国家自然科学基金青年科学基金项目,国家重点研发计划青年科学家项目多模态网络与通信实验验证和平台建设项目。在国内外顶级会议及期刊发表论文20余篇,Google Scholar总引用(截止2024年05月27日),引用量2769,其中IEEE ISSRE(中国计算机学会B类国际会议)2023论文获得Best Paper Award, ACM RecSys 2019论文获得Best Paper Honorable Mention Award, IEEE INFOCOM 2017论文被MIT Technology Review 和Hacker News等科技媒体报道。更及时论文发表信息请查看个人主页:https://hf4academic.github.io/

专利与奖励

   
奖励信息
(1) 优秀博士后, 研究所(学校), 2022
专利成果
( 1 ) 数据包捕获、处理和发送方法及系统, 发明专利, 2014, 第 2 作者, 专利号: CN103581181A

出版信息

发表论文
[1] Zexin Wang, Pei, Changhua, 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 Conferencenull. 2024, [2] Zhaoyang Yu, Pei, Changhua, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei. AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment. ISSRE(Best Paper Award)null. 2023, [3] Haotian Si, Pei, Changhua, 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. ESEC/FSEnull. 2023, [4] Yu Qingyang, Pei Changhua, Hao Bowen, Li Mingjie, Li Zeyan, Zhang Shenglin, Lu Xianglin, Wang Rui, Li Jiaqi, Wu Zhenyu, Pei Dan. CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data. The World Wide Web Conferencenull. 2023, [5] Chen, Qiwei, Xu, Yue, Pei, Changhua, Lv, Shanshan, Zhuang, Tao, Ge, Junfeng. Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction. DLP-KDDnull. 2022, http://arxiv.org/abs/2209.12212.
[6] Zhan Ruohan, Pei Changhua, Su Qiang, Wen Jianfeng, Wang Xueliang, Mu Guanyu, Zheng Dong, Jiang Peng, Gai Kun. Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. SIGKDDnull. 2022, [7] Ge, Yingqiang, Liu, Shuchang, Gao, Ruoyuan, Xian, Yikun, Li, Yunqi, Zhao, Xiangyu, Pei, Changhua, Sun, Fei, Ge, Junfeng, Ou, Wenwu, Zhang, Yongfeng. Towards Long-term Fairness in Recommendation. Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021)null. 2021, http://arxiv.org/abs/2101.03584.
[8] Xu Chen, Li Quan, Ge Junfeng, Gao Jinyang, Yang Xiaoyong, Pei Changhua, Sun Fei, Wu Jian, Sun Hanxiao, Ou Wenwu. Privileged Features Distillation at Taobao Recommendations. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020)null. 2020, http://arxiv.org/abs/1907.05171.
[9] Ge, Yingqiang, Zhao, Shuya, Zhou, Honglu, Pei, Changhua, Sun, Fei, Ou, Wenwu, Zhang, Yongfeng. 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)null. 2020, http://arxiv.org/abs/2007.02474.
[10] Pei Changhua, Yang Xinru, Cui Qing, Lin Xiao, Sun Fei, Jiang Peng, Ou Wenwu, Zhang Yongfeng, Assoc Comp Machinery. Value-aware Recommendation based on Reinforcement Profit Maximization. WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)null. 2019, 3123-3129, http://dx.doi.org/10.1145/3308558.3313404.
[11] Lin, Xiao, Chen, Hongjie, Pei, Changhua, Sun, Fei, Xiao, Xuanji, Sun, Hanxiao, Zhang, Yongfeng, Ou, Wenwu, Jiang, Peng, Assoc Comp Machinery. A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation. RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMSnull. 2019, 20-28, http://dx.doi.org/10.1145/3298689.3346998.
[12] Pei, Changhua, Zhang, Yi, Zhang, Yongfeng, Sun, Fei, Lin, Xiao, Sun, Hanxiao, Wu, Jian, Jiang, Peng, Ge, Junfeng, Ou, Wenwu, Pei, Dan, Assoc Comp Machinery. Personalized Re-ranking for Recommendation. RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMSnull. 2019, 3-11, http://dx.doi.org/10.1145/3298689.3347000.
[13] Sun, Fei, Liu, Jun, Wu, Jian, Pei, Changhua, Lin, Xiao, Ou, Wenwu, Jiang, Peng, ACM. BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)null. 2019, 1441-1450, http://dx.doi.org/10.1145/3357384.3357895.
[14] Sun Fei, Jiang Peng, Sun Hanxiao, Pei Changhua, Ou Wenwu, Wang Xiaobo, Cuzzocrea A, Allan J, Paton N, Srivastava D, Agrawal R, Broder A, Zaki M, Candan S, Labrinidis A, Schuster A, Wang H. Multi-Source Pointer Network for Product Title Summarization. CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENTnull. 2018, 7-16, http://dx.doi.org/10.1145/3269206.3271722.
[15] Pei, Changhua, Wang, Zhi, Zhao, Youjian, Wang, Zihan, Meng, Yuan, Pei, Dan, Peng, Yuanquan, Tang, Wenliang, Qu, Xiaodong, IEEE. Why It Takes So Long to Connect to a WiFi Access Point. IEEE INFOCOM 2017 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONSnull. 2017, [16] Pei Changhua, Zhao Youjian, Liu Yunxin, Tan Kun, Zhang Jiansong, Meng Yuan, Pei Dan, IEEE. Latency-Based WiFi Congestion Control in the Air for Dense WiFi Networks. 2017 IEEE/ACM 25TH INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE (IWQOS)null. 2017, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000428199300007.
[17] 裴丹, 裴昶华, 张圣林. Intelligent operation and maintenance based on machine learning. 中国计算机学会通讯[J]. 2017, [18] Pei Changhua, Zhao Youjian, Chen Guo, Tang Ruming, Meng Yuan, Ma Minghua, Ling Ken, Pei Dan, IEEE. WiFi Can Be the Weakest Link of Round Trip Network Latency in the Wild. IEEE INFOCOM 2016 - THE 35TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONSnull. 2016, 

科研活动

SIGKDD 2023,2024 Reviewer

WWW 2023,2024 Reviewer

SDM 2024 Reviewer

NeurIPS 2024 Reviewer

合作情况

《运维大模型关键技术合作项目》,华为,2024-2025