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2020 – today
- 2026
[j5]Xianzhi Ma
, Jianhui Li, Changhua Pei, Yingchao Piao:
FrameGrapher: Frame-augmented vision-language models for effective video understanding. Expert Syst. Appl. 317: 131594 (2026)- [j4]Zulong Diao, Mingyu Qiao, Xin Wang, Guangxing Zhang, Wei Liang, Jianguo Chen, Changhua Pei, Yanbiao Li, Zhenyu Li, Gaogang Xie:
Not All Data are What You Need: A Data-Efficient Training Method Using Heterogeneous Hardware. IEEE Trans. Knowl. Data Eng. 38(5): 2995-3008 (2026) - [c46]Zihan Liu, Jianhui Li, Zexin Wang, Fei Sun, Jingjing Li, Zheyuan Li, Ke Xiang, Hang Cui, Houhua Gong, Changhua Pei, Gaogang Xie:
EviReport: From Reasoned Outlines to Evidence Tracked Long-Form Reports. ACL (Findings) 2026: 28024-28048 - [c45]Yue Yang, Jing Zhao, Changhua Pei, Wei Wan, Chun Long, Guanyao Du, Yawei Liu, Jingjing Li:
Beyond Token Attention: Contiguous and Interpretable Payload Identification for Web Attacks. DSN 2026: 352-365 - [c44]Yuhe Liu, Changhua Pei, Hang Wang, Longlong Xu, Xiaogang Dong, Zhen Feng, Li Zheng, Kehang Ji, Dan Pei:
Eagle: Leveraging Operations Documents for Comprehensive Benchmark Question Generation. SIGSOFT FSE Companion 2026: 404-414 - [c43]Zexin Wang, Changhua Pei, Yang Liu, Hengyue Jiang, Quan Zhou, Haotian Si, Hang Cui, Jianhui Li, Gaogang Xie, Jingjing Li, Dan Pei:
ViTs: Teaching Machines to See Time Series Anomalies Like Human Experts. WWW 2026: 5286-5297 - [c42]Changhua Pei, Hang Cui, Jingjing Li, Yuxuan Li, Zihan Liu, Xinyuan Liao, Cenjie Hu, Jiabao Wang, Zheyuan Li, Zexin Wang, Haotian Si, Ke Xiang, Gaogang Xie, Dan Pei:
Smart Eye: LLM-Guided Proposer-Verifier Framework for Industrial-Scale Log Anomaly Detection. WWW 2026: 7869-7879 - [i30]Aleksandr Yugay, Hang Cui, Changhua Pei, Alexey Zaytsev:
Strong Linear Baselines Strike Back: Closed-Form Linear Models as Gaussian Process Conditional Density Estimators for TSAD. CoRR abs/2602.00672 (2026) - [i29]Yikai Zeng, Yingchao Piao, Changhua Pei, Jianhui Li:
LEC-KG: An LLM-Embedding Collaborative Framework for Domain-Specific Knowledge Graph Construction - A Case Study on SDGs. CoRR abs/2602.02090 (2026) - [i28]Haotian Si, Changhua Pei, Xiao He, Zeyan Li, Zhe Xie, Zexin Wang, Jiyao Hu, Zhaoyang Yu, Tieying Zhang, Dan Pei, Jianhui Li, Gaogang Xie:
KairosVL: Orchestrating Time Series and Semantics for Unified Reasoning. CoRR abs/2602.20494 (2026) - [i27]Zexin Wang, Changhua Pei, Yuanhao Liu, Jingjing Li, Yintong Huo, Quan Zhou, Haotian Si, Hang Cui, Zihan Liu, Gaogang Xie, Fei Sun, Dan Pei, David Lo:
Agent System Operations: Categorization, Challenges, and Future Directions. CoRR abs/2606.01581 (2026) - [i26]Changhua Pei, Zheyuan Li, Zexin Wang, Hang Cui, Xiaohui Nie, Qi Zhou, Fang Situ, Cheng Zhang, Xin Zhang, Xidao Wen, Gaogang Xie, Jingjing Li, Dan Pei:
UModel: An Agent-Ready Observability Data Modeling Method at Scale. CoRR abs/2606.04799 (2026) - [i25]Yuanhong Cai, Xiaohui Nie, Kanglin Yin, Changhua Pei, Yongqian Sun, Shenglin Zhang, Haibin Liu, Guiyang Liu, Xidao Wen, Fang Situ, Dan Pei:
A Multi-Dataset Benchmark for Evaluating LLM Agents in Microservice Failure Diagnosis. CoRR abs/2606.29193 (2026) - 2025
- [j3]Chenyang Qiu, Guoshun Nan, Caiyi Zhang, Chenrui Liang, Ruiqi Dai, Hongchen Yang, Shiyuan Liu, Zhili Zhou, Changhua Pei, Xiaofeng Tao:
Mining Multi-Scale Spatial-Frequency Clues for Unsupervised Intrusion Detection. IEEE Trans. Inf. Forensics Secur. 20: 11447-11461 (2025) - [j2]Yongqian Sun, Minyi Shao, Xiaohui Nie, Kaiwen Yang, Xingda Li, Bowen Hao, Shenglin Zhang, Changhua Pei, Dongbiao He, Yanbiao Li, Dan Pei:
A Comprehensive Benchmark and Empirical Study of Trace Anomaly Detection. IEEE Trans. Serv. Comput. 18(6): 3364-3377 (2025) - [c41]Shaoxuan Yun, Yuchao Zhang, Yingqiang Wang, Changhua Pei, Yi Li, JingJing Li:
Understanding DNS Failures at Scale: Fine-grained Classification and Root Cause Analysis. APNet 2025: 265-266 - [c40]Haotian Si, Changhua Pei, Jianhui Li, Dan Pei, Gaogang Xie:
CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations. ICML 2025 - [c39]Quan Zhou, Changhua Pei, Fei Sun, Jing Han, Zhengwei Gao, Haiming Zhang, Gaogang Xie, Dan Pei, Jianhui Li:
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks. ICML 2025 - [c38]Bohan Chen, Yongqian Sun, Yuhe Liu, Longlong Xu, Zhe Xie, Changhua Pei, Jing Han, Fan Ni, Xuhui Cai, Ce Yang, Dan Pei:
TechSupportEval: An Automated Evaluation Framework for Technical Support Question Answering. IJCNN 2025: 1-8 - [c37]Hang Cui, Jingjing Li, Haotian Si, Quan Zhou, Changhua Pei, Gaogang Xie, Dan Pei:
TShape: Rescuing Machine Learning Models from Complex Shapelet Anomalies. ISSREW 2025: 9-14 - [c36]Xiaohui Nie, Hang Cui, Changhua Pei, Haotian Si, Ke Xiang, Jingjing Li, Yanbiao Li, Gaogang Xie, Dan Pei:
DeST: An Unsupervised Decoupled Spatio-Temporal Framework for Microservice Incident Management. ISSRE 2025: 335-346 - [c35]Xianzhi Ma, Jianhui Li, Changhua Pei, Hao Liu:
GeoMag: A Vision-Language Model for Pixel-level Fine-Grained Remote Sensing Image Parsing. ACM Multimedia 2025: 5441-5450 - [c34]Xinyi Zhang, Qianrui Qiu, Zhiyuan Xu, Peng He, Xilai Liu, Kavé Salamatian, Changhua Pei, Gaogang Xie:
NPC: Rethinking Dataplane through Network-aware Packet Classification. SIGCOMM 2025: 677-691 - [c33]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, Minghua Ma, Dan Pei:
OpsEval: A Comprehensive Benchmark Suite for Evaluating Large Language Models' Capability in IT Operations Domain. SIGSOFT FSE Companion 2025: 503-513 - [c32]Changhua Pei, Zexin Wang, Fengrui Liu, Zeyan Li, Yang Liu, Xiao He, Rong Kang, Tieying Zhang, Jianjun Chen, Jianhui Li, Gaogang Xie, Dan Pei:
Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis. WWW (Companion Volume) 2025: 422-431 - [i24]Changhua Pei, Zexin Wang, Fengrui Liu, Zeyan Li, Yang Liu, Xiao He, Rong Kang, Tieying Zhang, Jianjun Chen, Jianhui Li, Gaogang Xie, Dan Pei:
Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis. CoRR abs/2502.08224 (2025) - [i23]Haotian Si, Changhua Pei, Jianhui Li, Dan Pei, Gaogang Xie:
CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations. CoRR abs/2505.19090 (2025) - [i22]Xianzhi Ma, Jianhui Li, Changhua Pei, Hao Liu:
GeoMag: A Vision-Language Model for Pixel-level Fine-Grained Remote Sensing Image Parsing. CoRR abs/2507.05887 (2025) - [i21]Zexin Wang, Jingjing Li, Quan Zhou, Haotian Si, Yuanhao Liu, Jianhui Li, Gaogang Xie, Fei Sun, Dan Pei, Changhua Pei:
A Survey on AgentOps: Categorization, Challenges, and Future Directions. CoRR abs/2508.02121 (2025) - [i20]Hang Cui, Jingjing Li, Haotian Si, Quan Zhou, Changhua Pei, Gaogang Xie, Dan Pei:
TShape: Rescuing Machine Learning Models from Complex Shapelet Anomalies. CoRR abs/2510.00680 (2025) - [i19]Zexin Wang, Changhua Pei, Yang Liu, Hengyue Jiang, Quan Zhou, Haotian Si, Hang Cui, Jianhui Li, Gaogang Xie, Jingjing Li, Dan Pei:
ViTs: Teaching Machines to See Time Series Anomalies Like Human Experts. CoRR abs/2510.04710 (2025) - [i18]Zhirui Zhang, Changhua Pei, Tianyi Gao, Zhe Xie, Yibo Hao, Zhaoyang Yu, Longlong Xu, Tong Xiao, Jing Han, Dan Pei:
TimeSense:Making Large Language Models Proficient in Time-Series Analysis. CoRR abs/2511.06344 (2025) - 2024
- [j1]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 Trans. Mob. Comput. 23(6): 6865-6880 (2024) - [c31]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 - [c30]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 - [c29]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 - [c28]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 - [c27]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 - [c26]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 Through Disentangled Transformer. KDD 2024: 6190-6201 - [c25]Liangyi Gong, Sai Wang, Lanqi Yang, Chun Long, Xiaochen Fan, Daibo Liu, Changhua Pei:
A Measurement Study of DNS Query Protocols in Mobile Networks: Efficiency, Reliability and Choice. MSN 2024: 40-47 - [c24]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. SIGSOFT FSE Companion 2024: 38-49 - [c23]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. 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, Meiqi Hu, Changhua Pei, Guo Chen:
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, 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. ESEC/SIGSOFT FSE 2023: 1635-1645 - [c17]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. ESEC/SIGSOFT FSE 2023: 1739-1749 - [c16]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. 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, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang:
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, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang:
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. CIKM 2019: 1441-1450 - [c9]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. 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, Jiahao Bu, Changhua Pei, Mengyu Zhou, Dan Pei:
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, Yuanquan Peng, Wenliang Tang, Xiaodong Qu:
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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