WiFi can be the weakest link of round trip network latency in the wild. - Changhua Pei; Youjian Zhao; Guo Chen 001; Ruming Tang; Yuan Meng 002; Minghua Ma; Ken Ling; Dan Pei (INFOCOM, 2016)

How Much Are Your Neighbors Interfering with Your WiFi Delay? - Changhua Pei; Youjian Zhao; Guo Chen 001; Yuan Meng 002; Yang Liu; Ya Su; Yaodong Zhang; Ruming Tang; Dan Pei (ICCCN, 2017)

Why it takes so long to connect to a WiFi access point. - Changhua Pei; Zhi Wang; Youjian Zhao; Zihan Wang; Yuan Meng 002; Dan Pei; Yuanquan Peng; Wenliang Tang; Xiaodong Qu (INFOCOM, 2017)

Latency-based WiFi congestion control in the air for dense WiFi networks. - Changhua Pei; Youjian Zhao; Yunxin Liu 001; Kun Tan; Jiansong Zhang 001; Yuan Meng 002; Dan Pei (IWQoS, 2017)

Multi-Source Pointer Network for Product Title Summarization. - Fei Sun 001; Peng Jiang 002; Hanxiao Sun; Changhua Pei; Wenwu Ou; Xiaobo Wang 002 (CIKM, 2018)

The Frame Latency of Personalized Livestreaming Can Be Significantly Slowed Down by WiFi. - Guoshun Nan; Xiuquan Qiao; Jiting Wang; Zeyan Li; Jiahao Bu; Changhua Pei; Mengyu Zhou; Dan Pei (IPCCC, 2018)

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. - Fei Sun 001; Jun Liu; Jian Wu 032; Changhua Pei; Xiao Lin 002; Wenwu Ou; Peng Jiang 002 (CIKM, 2019)

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation. - Xiao Lin 002; Hongjie Chen; Changhua Pei; Fei Sun 001; Xuanji Xiao; Hanxiao Sun; Yongfeng Zhang; Wenwu Ou; Peng Jiang 002 (RecSys, 2019)

Personalized re-ranking for recommendation. - Changhua Pei; Yi Zhang 001; Yongfeng Zhang; Fei Sun 001; Xiao Lin 002; Hanxiao Sun; Jian Wu 032; Peng Jiang 002; Junfeng Ge; Wenwu Ou; Dan Pei (RecSys, 2019)

Value-aware Recommendation based on Reinforcement Profit Maximization. - Changhua Pei; Xinru Yang; Qing Cui; Xiao Lin 002; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yongfeng Zhang (WWW, 2019)

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems. - Changhua Pei; Xinru Yang; Qing Cui; Xiao Lin 002; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yongfeng Zhang (CoRR, 2019)

Personalized Context-aware Re-ranking for E-commerce Recommender Systems. - Changhua Pei; Yi Zhang 001; Yongfeng Zhang; Fei Sun 001; Xiao Lin 002; Hanxiao Sun; Jian Wu 032; Peng Jiang 002; Wenwu Ou; Dan Pei (CoRR, 2019)

Privileged Features Distillation for E-Commerce Recommendations. - Chen Xu; Quan Li; Junfeng Ge; Jinyang Gao; Xiaoyong Yang; Changhua Pei; Hanxiao Sun; Wenwu Ou (CoRR, 2019)

Privileged Features Distillation at Taobao Recommendations. - Chen Xu; Quan Li; Junfeng Ge; Jinyang Gao; Xiaoyong Yang; Changhua Pei; Fei Sun 001; Jian Wu 032; Hanxiao Sun; Wenwu Ou (KDD, 2020)

Understanding Echo Chambers in E-commerce Recommender Systems. - Yingqiang Ge; Shuya Zhao; Honglu Zhou; Changhua Pei; Fei Sun 001; Wenwu Ou; Yongfeng Zhang (SIGIR, 2020)

Towards Long-term Fairness in Recommendation. - Yingqiang Ge; Shuchang Liu 001; Ruoyuan Gao; Yikun Xian; Yunqi Li 003; Xiangyu Zhao 001; Changhua Pei; Fei Sun 001; Junfeng Ge; Wenwu Ou; Yongfeng Zhang (WSDM, 2021)

Variation Control and Evaluation for Generative Slate Recommendations. - Shuchang Liu 001; Fei Sun 001; Yingqiang Ge; Changhua Pei; Yongfeng Zhang (WWW, 2021)

Variation Control and Evaluation for Generative SlateRecommendations. - Shuchang Liu 001; Fei Sun 001; Yingqiang Ge; Changhua Pei; Yongfeng Zhang (CoRR, 2021)

End-to-End User Behavior Retrieval in Click-Through RatePrediction Model. - Qiwei Chen; Changhua Pei; Shanshan Lv; Chao Li; Junfeng Ge; Wenwu Ou (CoRR, 2021)

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. - Ruohan Zhan; Changhua Pei; Qiang Su; Jianfeng Wen; Xueliang Wang; Guanyu Mu; Dong Zheng; Peng Jiang 002; Kun Gai (KDD, 2022)

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. - Ruohan Zhan; Changhua Pei; Qiang Su; Jianfeng Wen; Xueliang Wang; Guanyu Mu; Dong Zheng; Peng Jiang 002 (CoRR, 2022)

Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction. - Qiwei Chen; Yue Xu; Changhua Pei; Shanshan Lv; Tao Zhuang; Junfeng Ge (CoRR, 2022)

Beyond the Content: Considering the Network for Online Video Recommendation. - Lihui Lang; Meiqi Hu; Changhua Pei; Guo Chen 001 (APNet, 2023)

A Multi-Agent Framework for Recommendation with Heterogeneous Sources. - Yabin Zhang 005; Weiqi Shao; Xu Chen 017; Yali Du 001; Xiaoxiao Xu; Dong Zheng; Changhua Pei; Shuai Zhang; Peng Jiang 002; Kun Gai (IJCNN, 2023)

AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment. - Zhaoyang Yu; Changhua Pei; Shenglin Zhang; Xidao Wen; Jianhui Li; Gaogang Xie; Dan Pei (ISSRE, 2023)

Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection. - Haotian Si; Changhua Pei; Zhihan Li; Yadong Zhao; Jingjing Li; Haiming Zhang 002; Zulong Diao; Jianhui Li; Gaogang Xie; Dan Pei (ESEC/SIGSOFT FSE, 2023)

From Point-wise to Group-wise: A Fast and Accurate Microservice Trace Anomaly Detection Approach. - Zhe Xie; Changhua Pei; Wanxue Li; Huai Jiang; Liangfei Su; Jianhui Li; Gaogang Xie; Dan Pei (ESEC/SIGSOFT FSE, 2023)

CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data. - Qingyang Yu; Changhua Pei; Bowen Hao; Mingjie Li 005; Zeyan Li; Shenglin Zhang; Xianglin Lu; Rui Wang; Jiaqi Li; Zhenyu Wu; Dan Pei (WWW, 2023)

OpsEval: A Comprehensive Task-Oriented AIOps Benchmark for Large Language Models. - Yuhe Liu; Changhua Pei; Longlong Xu; Bohan Chen; Mingze Sun; Zhirui Zhang; Yongqian Sun; Shenglin Zhang; Kun Wang; Haiming Zhang 002; Jianhui Li; Gaogang Xie; et al. (CoRR, 2023)

Causality Enhanced Graph Representation Learning for Alert-Based Root Cause Analysis. - Zhaoyang Yu; Qianyu Ouyang; Changhua Pei; Xin Wang 001; Wenxiao Chen; Liangfei Su; Huai Jiang; Xuanrun Wang; Jianhui Li; Dan Pei (CCGrid, 2024)

Self-Evolutionary Group-wise Log Parsing Based on Large Language Model. - Changhua Pei; Zihan Liu; Jianhui Li; Erhan Zhang; Le Zhang; Haiming Zhang 002; Wei Chen; Dan Pei; Gaogang Xie (ISSRE, 2024)

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models. - Haotian Si; Jianhui Li; Changhua Pei; Hang Cui 004; Jingwen Yang; Yongqian Sun; Shenglin Zhang; Jingjing Li; Haiming Zhang 002; Jing Han; Dan Pei; Gaogang Xie (ISSRE, 2024)

Large Language Models Can Provide Accurate and Interpretable Incident Triage. - Zexin Wang; Jianhui Li; Minghua Ma; Ze Li 005; Yu Kang 006; Chaoyun Zhang; Chetan Bansal; Murali Chintalapati; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Changhua Pei; et al. (ISSRE, 2024)

SparseRCA: Unsupervised Root Cause Analysis in Sparse Microservice Testing Traces. - Zhenhe Yao; Haowei Ye; Changhua Pei; Guang Cheng; Guangpei Wang; Zhiwei Liu; Hongwei Chen; Hang Cui 004; Zeyan Li; Jianhui Li; Gaogang Xie; Dan Pei (ISSRE, 2024)

Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. - Zhaoyang Yu; Changhua Pei; Xin Wang 001; Minghua Ma; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Xidao Wen; Jianhui Li; Gaogang Xie; Dan Pei (KDD, 2024)

A Measurement Study of DNS Query Protocols in Mobile Networks: Efficiency, Reliability and Choice. - Liangyi Gong; Sai Wang; Lanqi Yang; Chun Long; Xiaochen Fan; Daibo Liu; Changhua Pei (MSN, 2024)

Chain-of-Event: Interpretable Root Cause Analysis for Microservices through Automatically Learning Weighted Event Causal Graph. - Zhenhe Yao; Changhua Pei; Wenxiao Chen; Hanzhang Wang; Liangfei Su; Huai Jiang; Zhe Xie; Xiaohui Nie; Dan Pei (SIGSOFT FSE Companion, 2024)

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. - Zhaoyang Yu; Minghua Ma; Chaoyun Zhang; Si Qin; Yu Kang 006; Chetan Bansal; Saravan Rajmohan; Yingnong Dang; Changhua Pei; Dan Pei; Qingwei Lin; Dongmei Zhang 001 (SIGSOFT FSE Companion, 2024)

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. - Zexin Wang; Changhua Pei; Minghua Ma; Xin Wang 001; Zhihan Li; Dan Pei; Saravan Rajmohan; Dongmei Zhang 001; Qingwei Lin; Haiming Zhang 002; Jianhui Li; Gaogang Xie (WWW, 2024)

KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks. - Quan Zhou; Changhua Pei; Fei Sun 001; Jing Han; Zhengwei Gao; Dan Pei; Haiming Zhang 002; Gaogang Xie; Jianhui Li (CoRR, 2024)

DMSTG: Dynamic Multiview Spatio-Temporal Networks for Traffic Forecasting. - Zulong Diao; Xin Wang 001; Dafang Zhang 001; Gaogang Xie; Jianguo Chen 001; Changhua Pei; Xuying Meng; Kun Xie 001; Guangxing Zhang (IEEE Trans. Mob. Comput., 2024)

OpsEval: A Comprehensive Benchmark Suite for Evaluating Large Language Models' Capability in IT Operations Domain. - Yuhe Liu; Changhua Pei; Longlong Xu; Bohan Chen; Mingze Sun; Zhirui Zhang; Yongqian Sun; Shenglin Zhang; Kun Wang; Haiming Zhang 002; Jianhui Li; Gaogang Xie; et al. (SIGSOFT FSE Companion, 2025)

Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis. - Changhua Pei; Zexin Wang; Fengrui Liu; Zeyan Li; Yang Liu; Xiao He 008; Rong Kang; Tieying Zhang; Jianjun Chen 001; Jianhui Li; Gaogang Xie; Dan Pei (WWW (Companion Volume), 2025)

CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations. - Haotian Si; Changhua Pei; Jianhui Li; Dan Pei; Gaogang Xie (CoRR, 2025)

GeoMag: A Vision-Language Model for Pixel-level Fine-Grained Remote Sensing Image Parsing. - Xianzhi Ma; Jianhui Li; Changhua Pei; Hao Liu (CoRR, 2025)

A Survey on AgentOps: Categorization, Challenges, and Future Directions. - Zexin Wang; Jingjing Li; Quan Zhou; Haotian Si; Yuanhao Liu; Jianhui Li; Gaogang Xie; Fei Sun 001; Dan Pei; Changhua Pei (CoRR, 2025)