Changhua Pei

According to our database, Changhua Pei authored at least 40 papers between 2016 and 2024.

Collaborative distances:

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

2024

DMSTG: Dynamic Multiview Spatio-Temporal Networks for Traffic Forecasting.

Zulong Diao, Xin Wang, Dafang Zhang, Gaogang Xie, Jianguo Chen, Changhua Pei, Xuying Meng, Kun Xie, Guangxing Zhang

IEEE Trans. Mob. Comput., June, 2024

KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks.

Quan Zhou, Changhua Pei, Fei Sun, Jing Han, Zhengwei Gao, Dan Pei, Haiming Zhang, Gaogang Xie, Jianhui Li

CoRR, 2024

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective.

Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie

Proceedings of the ACM on Web Conference 2024, 2024

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models.

Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin, Dongmei Zhang

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 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

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer.

Zhaoyang Yu, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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, Zeyan Li, Jianhui Li, Gaogang Xie, Dan Pei

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Large Language Models Can Provide Accurate and Interpretable Incident Triage.

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

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models.

Haotian Si, Jianhui Li, Changhua Pei, Hang Cui, Jingwen Yang, Yongqian Sun, Shenglin Zhang, Jingjing Li, Haiming Zhang, Jing Han, Dan Pei, Gaogang Xie

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Self-Evolutionary Group-wise Log Parsing Based on Large Language Model.

Changhua Pei, Zihan Liu, Jianhui Li, Erhan Zhang, Le Zhang, Haiming Zhang, Wei Chen, Dan Pei, Gaogang Xie

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Causality Enhanced Graph Representation Learning for Alert-Based Root Cause Analysis.

Zhaoyang Yu, Qianyu Ouyang, Changhua Pei, Xin Wang, Wenxiao Chen, Liangfei Su, Huai Jiang, Xuanrun Wang, Jianhui Li, Dan Pei

Proceedings of the 24th IEEE International Symposium on Cluster, 2024

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, Jianhui Li, Gaogang Xie, Xidao Wen, Xiaohui Nie, Dan Pei

CoRR, 2023

CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data.

Qingyang Yu, Changhua Pei, Bowen Hao, Mingjie Li, Zeyan Li, Shenglin Zhang, Xianglin Lu, Rui Wang, Jiaqi Li, Zhenyu Wu, Dan Pei

Proceedings of the ACM Web Conference 2023, 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

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

Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection.

Haotian Si, Changhua Pei, Zhihan Li, Yadong Zhao, Jingjing Li, Haiming Zhang, Zulong Diao, Jianhui Li, Gaogang Xie, Dan Pei

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

AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment.

Zhaoyang Yu, Changhua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

A Multi-Agent Framework for Recommendation with Heterogeneous Sources.

Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai

Proceedings of the International Joint Conference on Neural Networks, 2023

Beyond the Content: Considering the Network for Online Video Recommendation.

Lihui Lang, Meiqi Hu, Changhua Pei, Guo Chen

Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

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

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

CoRR, 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, Kun Gai

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

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

Variation Control and Evaluation for Generative SlateRecommendations.

Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang

CoRR, 2021

Variation Control and Evaluation for Generative Slate Recommendations.

Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang

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

Towards Long-term Fairness in Recommendation.

Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang

Proceedings of the WSDM '21, 2021

2020

Understanding Echo Chambers in E-commerce Recommender Systems.

Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Privileged Features Distillation at Taobao Recommendations.

Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Fei Sun, Jian Wu, Hanxiao Sun, Wenwu Ou

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

Personalized Context-aware Re-ranking for E-commerce Recommender Systems.

Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou, Dan Pei

CoRR, 2019

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems.

Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang

CoRR, 2019

Value-aware Recommendation based on Reinforcement Profit Maximization.

Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang

Proceedings of the World Wide Web Conference, 2019

Personalized re-ranking for recommendation.

Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Junfeng Ge, Wenwu Ou, Dan Pei

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation.

Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer.

Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

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

Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018

Multi-Source Pointer Network for Product Title Summarization.

Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Latency-based WiFi congestion control in the air for dense WiFi networks.

Changhua Pei, Youjian Zhao, Yunxin Liu, Kun Tan, Jiansong Zhang, Yuan Meng, Dan Pei

Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

Why it takes so long to connect to a WiFi access point.

Changhua Pei, Zhi Wang, Youjian Zhao, Zihan Wang, Yuan Meng, Dan Pei, Yuanquan Peng, Wenliang Tang, Xiaodong Qu

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

How Much Are Your Neighbors Interfering with Your WiFi Delay?

Changhua Pei, Youjian Zhao, Guo Chen, Yuan Meng, Yang Liu, Ya Su, Yaodong Zhang, Ruming Tang, Dan Pei

Proceedings of the 26th International Conference on Computer Communication and Networks, 2017

2016

WiFi can be the weakest link of round trip network latency in the wild.

Changhua Pei, Youjian Zhao, Guo Chen, Ruming Tang, Yuan Meng, Minghua Ma, Ken Ling, Dan Pei

Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016