Publications

[Full List] [Conference List]

  • [ICSE'25] Tao Duan, Runqing Chen, Pinghui Wang, Junzhou Zhao*, Jiongzhou Liu , Shujie Han , Yi Liu, and Fan Xu. "BSODiag: A Global Diagnosis Framework for Batch Servers Outage in Large-scale Cloud Infrastructure Systems". In Proceedings of the 47th IEEE/ACM International Conference on Software Engineering (ICSE), 2025. [arXiv]
  • [ACL'24] Shuo Zhang, Liangming Pan, Junzhou Zhao*, and William Yang Wang. "The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models". Findings of ACL, 2024. [arXiv][slides]
  • [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. [arXiv][slides][poster]
  • [TON'24] 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 (TON), 32(2):1461-1476, 2024.
  • [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]
  • [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]
  • [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]
  • [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]
  • [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]
  • [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]
  • [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]
  • [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.
  • [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.
  • [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]
  • [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]
  • [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), 477:161-185, 2019. [arXiv]
  • [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.
  • [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]
  • [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.
  • [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.
  • [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.
  • [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.
  • [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
  • [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]
  • [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]
  • [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
  • [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]
  • [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]
  • [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]
  • [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]
  • [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]