Junzhou Zhao

According to our database, Junzhou Zhao authored at least 59 papers between 2010 and 2023.

Collaborative distances:

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

2023

Fast Gumbel-Max Sketch and its Applications.

Yuanming Zhang, Pinghui Wang, Yiyan Qi, Kuankuan Cheng, Junzhou Zhao, Guangjian Tian, Xiaohong Guan

IEEE Trans. Knowl. Data Eng., September, 2023

Federated Learning Over Coupled Graphs.

Runze Lei, Pinghui Wang, Junzhou Zhao, Lin Lan, Jing Tao, Chao Deng, Junlan Feng, Xidian Wang, Xiaohong Guan

IEEE Trans. Parallel Distributed Syst., April, 2023

An Effective and Differentially Private Protocol for Secure Distributed Cardinality Estimation.

Pinghui Wang, Chengjin Yang, Dongdong Xie, Junzhou Zhao, Hui Li, Jing Tao, Xiaohong Guan

Proc. ACM Manag. Data, 2023

FuAlign: Cross-lingual entity alignment via multi-view representation learning of fused knowledge graphs.

Chenxu Wang, Zhenhao Huang, Yue Wan, Junyu Wei, Junzhou Zhao, Pinghui Wang

Inf. Fusion, 2023

Robust Visual Question Answering: Datasets, Methods, and Future Challenges.

Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao

CoRR, 2023

Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment.

Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang

CoRR, 2023

Multi-Action Dialog Policy Learning from Logged User Feedback.

Shuo Zhang, Junzhou Zhao, Pinghui Wang, Tianxiang Wang, Zi Liang, Jing Tao, Yi Huang, Junlan Feng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Mobile Data Traffic Prediction by Exploiting Time-Evolving User Mobility Patterns.

Feiyang Sun, Pinghui Wang, Junzhou Zhao, Nuo Xu, Juxiang Zeng, Jing Tao, Kaikai Song, Chao Deng, John C. S. Lui, Xiaohong Guan

IEEE Trans. Mob. Comput., 2022

Approximately Counting Butterflies in Large Bipartite Graph Streams.

Rundong Li, Pinghui Wang, Peng Jia, Xiangliang Zhang, Junzhou Zhao, Jing Tao, Ye Yuan, Xiaohong Guan

IEEE Trans. Knowl. Data Eng., 2022

Erasable Virtual HyperLogLog for Approximating Cumulative Distribution over Data Streams.

Peng Jia, Pinghui Wang, Junzhou Zhao, Jing Tao, Ye Yuan, Xiaohong Guan

IEEE Trans. Knowl. Data Eng., 2022

"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs.

Shuo Zhang, Junzhou Zhao, Pinghui Wang, Yu Li, Yi Huang, Junlan Feng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Accurate and Scalable Graph Neural Networks for Billion-Scale Graphs.

Juxiang Zeng, Pinghui Wang, Lin Lan, Junzhou Zhao, Feiyang Sun, Jing Tao, Junlan Feng, Min Hu, Xiaohong Guan

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Tracking triadic cardinality distributions for burst detection in high-speed graph streams.

Junzhou Zhao, Pinghui Wang, Zhouguo Chen, Jianwei Ding, John C. S. Lui, Don Towsley, Xiaohong Guan

Knowl. Inf. Syst., 2021

Building Fast and Compact Sketches for Approximately Multi-Set Multi-Membership Querying.

Rundong Li, Pinghui Wang, Jiongli Zhu, Junzhou Zhao, Jia Di, Xiaofei Yang, Kai Ye

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Bidirectionally Densifying LSH Sketches with Empty Bins.

Peng Jia, Pinghui Wang, Junzhou Zhao, Shuo Zhang, Yiyan Qi, Min Hu, Chao Deng, Xiaohong Guan

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Temporal Biased Streaming Submodular Optimization.

Junzhou Zhao, Pinghui Wang, Chao Deng, Jing Tao

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Fast Rotation Kernel Density Estimation over Data Streams.

Runze Lei, Pinghui Wang, Rundong Li, Peng Jia, Junzhou Zhao, Xiaohong Guan, Chao Deng

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

LogLog Filter: Filtering Cold Items within a Large Range over High Speed Data Streams.

Peng Jia, Pinghui Wang, Junzhou Zhao, Ye Yuan, Jing Tao, Xiaohong Guan

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Learning to Check Contract Inconsistencies.

Shuo Zhang, Junzhou Zhao, Pinghui Wang, Nuo Xu, Yang Yang, Yiting Liu, Yi Huang, Junlan Feng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Understanding Assimilation-contrast Effects in Online Rating Systems: Modelling, Debiasing, and Applications.

Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C. S. Lui

ACM Trans. Inf. Syst., 2020

Improving network embedding with partially available vertex and edge content.

Lin Lan, Pinghui Wang, Junzhou Zhao, Jing Tao, John C. S. Lui, Xiaohong Guan

Inf. Sci., 2020

Fast Generating A Large Number of Gumbel-Max Variables.

Yiyan Qi, Pinghui Wang, Yuanming Zhang, Junzhou Zhao, Guangjian Tian, Xiaohong Guan

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Continuously Tracking Core Items in Data Streams with Probabilistic Decays.

Junzhou Zhao, Pinghui Wang, Jing Tao, Shuo Zhang, John C. S. Lui

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Distinguish Confusing Law Articles for Legal Judgment Prediction.

Nuo Xu, Pinghui Wang, Long Chen, Li Pan, Xiaoyan Wang, Junzhou Zhao

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Inferring Higher-Order Structure Statistics of Large Networks from Sampled Edges.

Pinghui Wang, Yiyan Qi, John C. S. Lui, Don Towsley, Junzhou Zhao, Jing Tao

IEEE Trans. Knowl. Data Eng., 2019

SNOD: a fast sampling method of exploring node orbit degrees for large graphs.

Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Jing Tao, Xiaohong Guan

Knowl. Inf. Syst., 2019

Practical characterization of large networks using neighborhood information.

Pinghui Wang, Junzhou Zhao, Bruno Ribeiro, John C. S. Lui, Don Towsley, Xiaohong Guan

Knowl. Inf. Syst., 2019

Fast crawling methods of exploring content distributed over large graphs.

Pinghui Wang, Junzhou Zhao, John C. S. Lui, Don Towsley, Xiaohong Guan

Knowl. Inf. Syst., 2019

Optimizing node discovery on networks: Problem definitions, fast algorithms, and observations.

Junzhou Zhao, Pinghui Wang, John C. S. Lui

Inf. Sci., 2019

Sampling online social networks by random walk with indirect jumps.

Junzhou Zhao, Pinghui Wang, John C. S. Lui, Don Towsley, Xiaohong Guan

Data Min. Knowl. Discov., 2019

MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions.

Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, Junzhou Zhao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks.

Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Submodular Optimization over Streams with Inhomogeneous Decays.

Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs.

Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Jing Tao, Xiaohong Guan

IEEE Trans. Knowl. Data Eng., 2018

Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations.

Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C. S. Lui

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs (Extended Abstract).

Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Xiaohong Guan

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

I/O-efficient calculation of H-group closeness centrality over disk-resident graphs.

Junzhou Zhao, Pinghui Wang, John C. S. Lui, Don Towsley, Xiaohong Guan

Inf. Sci., 2017

Tracking Triadic Cardinality Distributions for Burst Detection in High-Speed Multigraph Streams.

Junzhou Zhao, Pinghui Wang, John C. S. Lui, Don Towsley, Xiaohong Guan

CoRR, 2017

Towards Efficient Node Discoverability Optimization on Large Networks.

Junzhou Zhao, John C. S. Lui, Pinghui Wang, Xiaohong Guan

CoRR, 2017

Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations.

Xiaoying Zhang, Junzhou Zhao, John C. S. Lui

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2016

A Fast Sampling Method of Exploring Graphlet Degrees of Large Directed and Undirected Graphs.

Pinghui Wang, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Junzhou Zhao, Jing Tao, Xiaohong Guan

CoRR, 2016

Minfer: A method of inferring motif statistics from sampled edges.

Pinghui Wang, John C. S. Lui, Donald F. Towsley, Junzhou Zhao

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015

Unbiased Characterization of Node Pairs over Large Graphs.

Pinghui Wang, Junzhou Zhao, John C. S. Lui, Don Towsley, Xiaohong Guan

ACM Trans. Knowl. Discov. Data, 2015

Moss: A Scalable Tool for Efficiently Sampling and Counting 4- and 5-Node Graphlets.

Pinghui Wang, Jing Tao, Junzhou Zhao, Xiaohong Guan

CoRR, 2015

A tale of three graphs: Sampling design on hybrid social-affiliation networks.

Junzhou Zhao, John C. S. Lui, Don Towsley, Pinghui Wang, Xiaohong Guan

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Tracking Triadic Cardinality Distributions for Burst Detection in Social Activity Streams.

Junzhou Zhao, John C. S. Lui, Don Towsley, Pinghui Wang, Xiaohong Guan

Proceedings of the 2015 ACM on Conference on Online Social Networks, 2015

2014

Efficiently Estimating Motif Statistics of Large Networks.

Pinghui Wang, John C. S. Lui, Bruno F. Ribeiro, Don Towsley, Junzhou Zhao, Xiaohong Guan

ACM Trans. Knowl. Discov. Data, 2014

A New Sketch Method for Measuring Host Connection Degree Distribution.

Pinghui Wang, Xiaohong Guan, Junzhou Zhao, Jing Tao, Tao Qin

IEEE Trans. Inf. Forensics Secur., 2014

A Tale of Three Social Networks: User Activity Comparisons across Facebook, Twitter, and Foursquare.

Pinghui Wang, Wenbo He, Junzhou Zhao

IEEE Internet Comput., 2014

Design of Efficient Sampling Methods on Hybrid Social-Affiliation Networks.

Junzhou Zhao, John C. S. Lui, Don Towsley, Pinghui Wang, Xiaohong Guan

CoRR, 2014

Whom to follow: Efficient followee selection for cascading outbreak detection on online social networks.

Junzhou Zhao, John C. S. Lui, Donald F. Towsley, Xiaohong Guan

Comput. Networks, 2014

Measuring and maximizing group closeness centrality over disk-resident graphs.

Junzhou Zhao, John C. S. Lui, Don Towsley, Xiaohong Guan

Proceedings of the 23rd International World Wide Web Conference, 2014

2013

Social Sensor Placement in Large Scale Networks: A Graph Sampling Perspective

Junzhou Zhao, John C. S. Lui, Don Towsley, Xiaohong Guan, Pinghui Wang

CoRR, 2013

A Peep on the Interplays between Online Video Websites and Online Social Networks

Junzhou Zhao, Pinghui Wang, Jing Tao, Xiaobo Ma, Xiaohong Guan

CoRR, 2013

On Analyzing Estimation Errors due to Constrained Connections in Online Review Systems.

Junzhou Zhao

CoRR, 2013

Sampling Content Distributed Over Graphs.

Pinghui Wang, Junzhou Zhao, John C. S. Lui, Don Towsley, Xiaohong Guan

CoRR, 2013

Efficiently Estimating Subgraph Statistics of Large Networks in the Dark.

Pinghui Wang, John C. S. Lui, Junzhou Zhao, Bruno F. Ribeiro, Don Towsley, Xiaohong Guan

CoRR, 2013

Sampling node pairs over large graphs.

Pinghui Wang, Junzhou Zhao, John C. S. Lui, Don Towsley, Xiaohong Guan

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2010

Group dynamics in discussing incidental topics over online social networks.

Yadong Zhou, Xiaohong Guan, Qinghua Zheng, Qindong Sun, Junzhou Zhao

IEEE Netw., 2010