[机器学习、数据挖掘以及人工智能等领域的主流国际会议]

• [ICDE'24] Tao Duan, Junzhou Zhao, Shuo Zhang, Jing Tao, and Pinghui Wang. "Representation Learning of Tangled Key-Value Sequence Data for Early Classification". In Proceedings of the 41st IEEE International Conference on Data Engineering (ICDE), 2024. CCF-A 数据流 表示学习
• [TNET'23] Junzhou Zhao, Pinghui Wang, Wei Zhang, Zhaosong Zhang, Maoli Liu, Jing Tao, and John C.S. Lui. "Tracking Influencers in Decaying Social Activity Streams with Theoretical Guarantees". IEEE/ACM Transactions on Networking (TNET), pp. 1-16, 2023. CCF-A 数据流 图数据 在线优化 近似算法
• [TPDS'23] Runze Lei, Pinghui Wang, Junzhou Zhao, Lin Lan, Jing Tao, Chao Deng, Junlan Feng, Xidian Wang, and Xiaohong Guan. "Federated Learning over Coupled Graphs". IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023. CCF-A 联邦学习 图计算
• [AAAI'23] Shuo Zhang, Junzhou Zhao, Pinghui Wang, Tianxiang Wang, Zi Liang, Jing Tao, Yi Huang, and Junlan Feng. "Multi-Action Dialog Policy Learning from Logged User Feedback". In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023. [arXiv] CCF-A 对话系统 NLP
• [SIGMOD'23] Pinghui Wang, Chengjin Yang, Dongdong Xie, Junzhou Zhao, Hui Li, Jing Tao, and Xiaohong Guan. "An Effective and Differentially Private Protocol for Secure Distributed Cardinality Estimation". In Proceedings of the ACM SIGMOD/PODS International Conference on Data Management (SIGMOD), 2023. [slides] CCF-A 隐私计算 MPC
• [IJCAI'22] Shuo Zhang, Junzhou Zhao, Pinghui Wang, Yu Li, Yi Huang, and Junlan Feng. "Think Before You Speak: Improving Multi-action Dialog Policy by Planning Single-Action Dialogs". In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022. [arXiv][slides] CCF-A NLP 对话系统
• [ICDE'22] Juxiang Zeng, Pinghui Wang, Lin Lan, Junzhou Zhao, Feiyang Sun, Jing Tao, Junlan Feng, Min Hu, and Xiaohong Guan. "Accurate and Scalable Graph Neural Networks for Billion-Scale Graphs". In Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE), 2022. CCF-A 图数据 图神经网络
• [KDD'21] Junzhou Zhao, Pinghui Wang, Chao Deng, and Jing Tao. "Temporal Biased Streaming Submodular Optimization". In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ACM SIGKDD), 2021. [slides] CCF-A 数据流 在线优化 近似算法
• [TMC'21] Feiyang Sun, Pinghui Wang, Junzhou Zhao, Nuo Xu, Juxiang Zeng, Jing Tao, Kaikai Song, Chao Deng, John C.S. Lui, and Xiaohong Guan. "Mobile Data Traffic Prediction by Exploiting Time-Evolving User Mobility Patterns". IEEE Transactions on Mobile Computing, 2021. CCF-A 时空数据
• [SIGMOD'21] Peng Jia, Pinghui Wang, Junzhou Zhao, Shuo Zhang, Yiyan Qi, Min Hu, Chao Deng, and Xiaohong Guan. "Bidirectionally Densifying LSH Sketches with Empty Bins". ACM SIGMOD 2021. CCF-A LSH 查询算法 Sketch
• [TKDE'21] Peng Jia, Pinghui Wang, Junzhou Zhao, Jing Tao, Ye Yuan, and Xiaohong Guan. "Erasable Virtual HyperLogLog for Approximating Cumulative Distribution over Data Streams". IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. CCF-A 数据流 计数问题
• [ICDE'21] Peng Jia, Pinghui Wang, Junzhou Zhao, Jing Tao, Ye Yuan, and Xiaohong Guan. "LogLog Filter: Filtering Cold Items within a Large Range over High Speed Data Streams". In Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE), 2021. CCF-A 数据流 在线算法
• [AAAI'21] Shuo Zhang, Junzhou Zhao, Pinghui Wang, Nuo Xu, Yang Yang, Yiting Liu, Yi Huang, and Junlan Feng. "Learning to Check Contract Inconsistencies". In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021. [arXiv][poster] CCF-A NLP
• [KAIS'21] Junzhou Zhao, Pinghui Wang, Zhouguo Chen, Jianwei Ding, John C.S. Lui, Don Towsley, and Xiaohong Guan. "Tracking Triadic Cardinality Distributions for Burst Detection in High-Speed Graph Streams". Knowledge and Information Systems (KAIS), 63:939-969, 2021. [arXiv] 异常检测 图数据流
• [ACL'20] Nuo Xu, Pinghui Wang, Long Chen, Li Pan, Xiaoyan Wang and Junzhou Zhao. "Distinguish Confusing Law Articles for Legal Judgment Prediction". In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020. [arXiv] CCF-A NLP 智慧法院
• [WWW'20] Yiyan Qi, Pinghui Wang, Yuanming Zhang, Junzhou Zhao, Guangjian Tian, and Xiaohong Guan. "Fast Generating A Large Number of Gumbel-Max Variables". The Web Conference (WWW), 2020. [arXiv] CCF-A LSH
• [ICDE'20] Junzhou Zhao, Pinghui Wang, Jing Tao, Shuo Zhang, and John C.S. Lui. "Continuously Tracking Core Items in Data Streams with Probabilistic Decays". In Proceedings of the 36th IEEE International Conference on Data Engineering (IEEE ICDE), 2020. [full paper][slides][poster] CCF-A 数据流 在线优化 近似算法
• [INS'20] Lin Lan, Pinghui Wang, Junzhou Zhao, Jing Tao, John C.S. Lui, and Xiaohong Guan. "Improving Network Embedding with Partially Available Vertex and Edge Content". Information Sciences, 2020. 图数据 图表示学习
• [TOIS'20] Xiaoying Zhang, Hong Xie, Junzhou Zhao, and John C.S. Lui. "Understanding Assimilation-Contrast Effects in Online Rating Systems: Modeling, Debiasing and Applications". ACM Transactions on Information Systems (TOIS), 2020. CCF-A 推荐系统
• [IJCAI'19] Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, and Junzhou Zhao. "MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interaction". In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019. [arXiv] CCF-A 图数据 图表示学习
• [AAAI'19] Junzhou Zhao, S. Shang, Pinghui Wang, John C.S. Lui, and Xiangliang Zhang. "Submodular Optimization over Streams with Inhomogeneous Decays". In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. [arXiv] CCF-A 数据流 在线优化 近似算法
• [ICDE'19] Junzhou Zhao, S. Shang, Pinghui Wang, John C.S. Lui, and Xiangliang Zhang. "Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks". In Proceedings of the 35th IEEE International Conference on Data Engineering (IEEE ICDE), 2019. [arXiv][poster] CCF-A 图数据 社交网络 影响力最大化 近似算法
• [INS'19] Junzhou Zhao, Pinghui Wang, and John C.S. Lui. "Optimizing Node Discovery on Networks: Problem Definitions, Fast Algorithms, and Observations". Information Sciences (INS), 2019. [arXiv] 优化算法 近似算法
• [DMKD'19] Junzhou Zhao, Pinghui Wang, John C.S. Lui, Don Towsley, and Xiaohong Guan. "Sampling Online Social Networks by Random Walk with Indirect Jumps". Data Mining and Knowledge Discovery (DMKD), 33:24-57, 2019. [arXiv] 图数据 图采样 近似算法
• [TKDE'18] Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenhua Li, Jiefeng Cheng, John C.S. Lui, Don Towsley, Jing Tao, and Xiaohong Guan. "MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs". IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018. [poster] CCF-A 图数据 子图模式
• [KAIS'18] Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Jing Tao, and Xiaohong Guan. "SNOD: A Fast Sampling Method of Exploring Node Orbit Degrees for Large Graphs". Knowledge and Information Systems (KAIS), 2018. 图采样 图数据
• [KAIS'18] Pinghui Wang, Junzhou Zhao, John C.S. Lui, Don Towsley, and Xiaohong Guan. "Fast Crawling Methods of Exploring Content Distributed Over Large Graphs". Knowledge and Information Systems (KAIS), 2018. 图数据 图采样 近似算法
• [KAIS'18] Pinghui Wang, Junzhou Zhao, Bruno Ribeiro, John C.S. Lui, Don Towsley, and Xiaohong Guan. "Practical Characterization of Large Networks Using Neighborhood Information". Knowledge and Information Systems (KAIS), 2018. 图数据 图采样 近似算法
• [TKDE'17] Pinghui Wang, Yiyan Qi, John C.S. Lui, Don Towsley, Junzhou Zhao, Jing Tao. "Inferring Higher-Order Structure Statistics of Large Networks From Sampled Edges". IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017. CCF-A 图数据 图采样 近似算法
• [INS'17] Junzhou Zhao, John C.S. Lui, Don Towsley, Pinghui Wang, and Xiaohong Guan. "I/O-Efficient Calculation of Group Closeness Centrality over Disk-Resident Graphs". Information Sciences (INS), 2017. 优化算法 近似算法 图数据
• [RecSys'17] Xiaoying Zhang, Junzhou Zhao, and John C.S. Lui. "Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations". In Proceedings of the 11th ACM Conference on Recommendation Systems (RecSys), 2017. Awarded Best Paper 推荐系统
• [ICDE'16] Pinghui Wang, John C.S. Lui, Don Towsley, and Junzhou Zhao. "Minfer: A Method of Inferring Motif Statistics from Sampled Edges". In Proceedings of the 32nd IEEE International Conference on Data Engineering (ICDE), 2016. CCF-A 图数据 子图模式 图采样 近似算法
• [COSN'15] Junzhou Zhao, John C.S. Lui, Don Towsley, Pinghui Wang, and Xiaohong Guan. "Tracking Triadic Cardinality Distributions for Burst Detection in Social Activity Streams". In Proceedings of ACM Conference on Online Social Networks (COSN), 2015. [arXiv] 图数据 异常检测 图数据流 近似算法
• [ICDE'15] Junzhou Zhao, John C.S. Lui, Don Towsley, Pinghui Wang, and Xiaohong Guan. "A Tale of Three Graphs: Sampling Design on Hybrid Social-Affiliation Networks". In Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE), 2015. [pdf] CCF-A 图数据 图采样 近似算法
• [TIFS'14] Pinghui Wang, Xiaohong Guang, Junzhou Zhao, Jing Tao, and Tao Qin. "A New Sketch Method for Measuring Host Connection Degree Distribution". IEEE Transactions on Information Forensics and Security (TIFS), 2014. CCF-A 异常检测 Sketch
• [SIMPLEX'14] Junzhou Zhao, John C.S. Lui, Don Towsley, and Xiaohong Guan. "Measuring and Maximizing Group Closeness Centrality over Disk-Resident Graphs". In WWW SIMPLEX workshop, 2014. [pdf][TR] Awarded Best Paper 优化算法 图数据
• [COMNET'14] Junzhou Zhao, John C.S. Lui, Don Towsley, and Xiaohong Guan. "WTF: Efficient Followee Selection for Cascading Outbreak Detection on Online Social Networks". Computer Networks, Special Issue on Online Social Networks, 2014. [pdf] 异常检测 图数据
• [TKDD'14] Pinghui Wang, Junzhou Zhao, John C.S. Lui, Don Towsley, and Xiaohong Guan. "Unbiased Characterization of Node Pairs over Large Graphs". ACM Transactions on Knowledge Discovery from Data (TKDD), 2014. [pdf] 图采样 近似算法
• [Magazine'14] Pinghui Wang, Wenbo He, and Junzhou Zhao. "A Tale of Three Social Networks: User Activity Comparations across Facebook, Twitter, and Foursquare". IEEE Internet Computing, 2014. [pdf] Featured Article 社交网络
• [TKDD'14] Pinghui Wang, John C.S. Lui, Bruno Ribeiro, Don Towsley, Junzhou Zhao, and Xiaohong Guan. "Efficiently Estimating Motif Statistics of Large Networks". ACM Transactions on Knowledge Discovery from Data (TKDD), 2014. [arXiv] 图数据 子图模式 图采样 近似算法
• [CrowdRec'13] Junzhou Zhao, Xiaohong Guan, and Jing Tao. "On Analyzing Estimation Errors due to Constrained Connections in Online Review Systems". RecSys CrowdRec workshop, 2013. [arXiv] 推荐系统
• [ICDE'13] Pinghui Wang, Junzhou Zhao, John C.S. Lui, Don Towsley, and Xiaohong Guan. "Sampling Node Pairs Over Large Graphs". In Proceedings of the 29th IEEE International Conference on Data Engineering (ICDE), 2013. [pdf] CCF-A 图数据 图采样 近似算法
• [NetSciCom'11] Junzhou Zhao, John C.S. Lui, Don Towsley, and Xiaohong Guan. "Empirical Analysis of the Evolution of Follower Network: A Case Study on Douban". IEEE INFOCOM NetSciCom workshop, 2011. [pdf] 图数据 社交网络
• [WebSci'10] Zhaohui Wu, Lu Jiang, Zhenhua Tian, Jun Liu, Qinghua Zheng, and Junzhou Zhao. "A Peep at Pornography Web in China". In Proceedings of the Web Science Conference (WebSci), 2010. [pdf][Media] Web