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Changhua Pei
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2020 – today
- 2024
- [j1]Zulong Diao
, Xin Wang
DMSTG: Dynamic Multiview Spatio-Temporal Networks for Traffic Forecasting. IEEE Trans. Mob. Comput. 23(6): 6865-6880 (2024) - [c30]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. CCGrid 2024: 77-86 - [c29]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. ISSRE 2024: 49-60 - [c28]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. ISSRE 2024: 61-72 - [c27]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. ISSRE 2024: 391-402 - [c26]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. ISSRE 2024: 523-534 - [c25]Zhaoyang Yu
Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. KDD 2024: 6190-6201 - [c24]Zhaoyang Yu
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. SIGSOFT FSE Companion 2024: 38-49 - [c23]Zhenhe Yao
Chain-of-Event: Interpretable Root Cause Analysis for Microservices through Automatically Learning Weighted Event Causal Graph. SIGSOFT FSE Companion 2024: 50-61 - [c22]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. WWW 2024: 3096-3105 - [i17]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. CoRR abs/2402.02820 (2024) - [i16]Haotian Si, Changhua Pei, Hang Cui, Jingwen Yang, Yongqian Sun, Shenglin Zhang, Jingjing Li, Haiming Zhang, Jing Han, Dan Pei, Jianhui Li, Gaogang Xie:
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models. CoRR abs/2402.10802 (2024) - [i15]Quan Zhou, Changhua Pei, Fei Sun, Jing Han, Zhengwei Gao, Dan Pei, Haiming Zhang, Gaogang Xie, Jianhui Li:
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks. CoRR abs/2411.00278 (2024) - 2023
- [c21]Lihui Lang
Beyond the Content: Considering the Network for Online Video Recommendation. APNet 2023: 150-156 - [c20]Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai:
A Multi-Agent Framework for Recommendation with Heterogeneous Sources. IJCNN 2023: 1-8 - [c19]Zhaoyang Yu, Changhua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei:
AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment. ISSRE 2023: 13-23 - [c18]Haotian Si
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection. ESEC/SIGSOFT FSE 2023: 1635-1645 - [c17]Zhe Xie
From Point-wise to Group-wise: A Fast and Accurate Microservice Trace Anomaly Detection Approach. ESEC/SIGSOFT FSE 2023: 1739-1749 - [c16]Qingyang Yu
CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data. WWW 2023: 2937-2947 - [i14]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. CoRR abs/2308.08915 (2023) - [i13]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. CoRR abs/2310.07637 (2023) - 2022
- [c15]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. KDD 2022: 4472-4481 - [i12]Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang:
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. CoRR abs/2206.06003 (2022) - [i11]Qiwei Chen, Yue Xu, Changhua Pei, Shanshan Lv, Tao Zhuang, Junfeng Ge:
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction. CoRR abs/2209.12212 (2022) - 2021
- [c14]Yingqiang Ge, Shuchang Liu, Ruoyuan Gao
Towards Long-term Fairness in Recommendation. WSDM 2021: 445-453 - [c13]Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang:
Variation Control and Evaluation for Generative Slate Recommendations. WWW 2021: 436-448 - [i10]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. CoRR abs/2101.03584 (2021) - [i9]Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang:
Variation Control and Evaluation for Generative SlateRecommendations. CoRR abs/2102.13302 (2021) - [i8]Qiwei Chen, Changhua Pei, Shanshan Lv, Chao Li, Junfeng Ge, Wenwu Ou:
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model. CoRR abs/2108.04468 (2021) - 2020
- [c12]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. KDD 2020: 2590-2598 - [c11]Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang:
Understanding Echo Chambers in E-commerce Recommender Systems. SIGIR 2020: 2261-2270 - [i7]Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang:
Understanding Echo Chambers in E-commerce Recommender Systems. CoRR abs/2007.02474 (2020)
2010 – 2019
- 2019
- [c10]Fei Sun
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. CIKM 2019: 1441-1450 - [c9]Changhua Pei, Yi Zhang
Personalized re-ranking for recommendation. RecSys 2019: 3-11 - [c8]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. RecSys 2019: 20-28 - [c7]Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang:
Value-aware Recommendation based on Reinforcement Profit Maximization. WWW 2019: 3123-3129 - [i6]Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang:
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems. CoRR abs/1902.00851 (2019) - [i5]Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang:
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. CoRR abs/1904.06690 (2019) - [i4]Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou, Dan Pei:
Personalized Context-aware Re-ranking for E-commerce Recommender Systems. CoRR abs/1904.06813 (2019) - [i3]Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Hanxiao Sun, Wenwu Ou:
Privileged Features Distillation for E-Commerce Recommendations. CoRR abs/1907.05171 (2019) - 2018
- [c6]Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang:
Multi-Source Pointer Network for Product Title Summarization. CIKM 2018: 7-16 - [c5]Guoshun Nan, Xiuquan Qiao, Jiting Wang, Zeyan Li
The Frame Latency of Personalized Livestreaming Can Be Significantly Slowed Down by WiFi. IPCCC 2018: 1-8 - [i2]Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang:
Multi-Source Pointer Network for Product Title Summarization. CoRR abs/1808.06885 (2018) - 2017
- [c4]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? ICCCN 2017: 1-9 - [c3]Changhua Pei, Zhi Wang, Youjian Zhao, Zihan Wang, Yuan Meng, Dan Pei
Why it takes so long to connect to a WiFi access point. INFOCOM 2017: 1-9 - [c2]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. IWQoS 2017: 1-10 - [i1]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. CoRR abs/1701.02528 (2017) - 2016
- [c1]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. INFOCOM 2016: 1-9
Coauthor Index
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last updated on 2024-12-12 21:59 CET by the dblp team
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