About Me
Welcome! I am currently a Professor of CIAT, the Co-director of the Big Data Computing and Intelligence Institute, and Executive Vice Director of the Intelligent Transportation Joint Lab, at Guangzhou University. I was a research associate at the University of New South Wales and a visiting fellow at East China Normal University, advised by Prof. Xuemin Lin. I got my Ph.D. from the Australian Artificial Intelligence Institute, the University of Technology Sydney in 2018, advised by Prof. Ying Zhang and Prof. Lu Qin. I received my Bachelor’s degree from Zhejiang University in 2014.
My research interests focus on large-scale graph management and analysis, including cohesive subgraphs, graph decomposition, network stability, information cascade, graph summarization, and outlier detection.
Postgraduate Positions Available: I am looking for self-motivated students to join my group. You may refer to the status of my former/current students. You can send an email to me with your CV.
Tenure-track/Tenured Positions Available: Please feel free to contact me if you are interested in joining our institute. Multiple positions with different directions are available and we provide highly competitive offers.
Selected Publications
* indicates I am the corresponding author.
2024
Deming Chu, Fan Zhang*, Wenjie Zhang, Ying Zhang, Xuemin Lin: Graph Summarization: Compactness Meets Efficiency. Accepted by SIGMOD 2024 [paper]
Jiadong Xie, Zehua Chen, Deming Chu, Fan Zhang*, Xuemin Lin, Zhihong Tian: Influence Maximization via Vertex Countering. Accepted by VLDB 2024. [paper]
Siyi Teng, Jiadong Xie, Fan Zhang*, Can Lu, Juntao Fang, Kai Wang: Optimizing Network Resilience via Vertex Anchoring. Accepted by The Web Conference 2024 (oral). [paper, code, video]
Deming Chu, Fan Zhang*, Wenjie Zhang, Xuemin Lin, Ying Zhang, Yinglong Xia, Chenyi Zhang: Discovering and Maintaining the Best k in Core Decomposition. Accepted by IEEE TKDE 2024.
Dian Ouyang, Zhuoran Wang, Fan Zhang*, Shiyu Yang, Jianye Yang, Xuemin Lin: Multi-Source Shortest Path Query With Assembly Points on Large Graphs. Accepted by IEEE TKDE 2024.
Qi Liang, Dian Ouyang, Fan Zhang, Jianye Yang, Xuemin Lin, Zhihong Tian: Efficient Regular Simple Path Queries under Transitive Restricted Expressions. Accepted by VLDB 2024.
Shuhao Li, Yue Cui, Libin Li, Weidong Yang, Fan Zhang, Xiaofang Zhou: ST-ABC: Spatio-Temporal Attention-Based Convolutional Network for Multi-Scale Lane-Level Traffic Prediction. Accepted by ICDE 2024.
Yihong Huang, Yuang Zhang, Liping Wang, Fan Zhang, Xuemin Lin: EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy. Accepted by KDD 2024.
2023
Fan Zhang, Qingyuan Linghu, Jiadong Xie, Kai Wang, Xuemin Lin, Wenjie Zhang: Quantifying Node Importance over Network Structural Stability. KDD 2023: 3217-3228 [paper, code]
Fan Zhang, Haicheng Guo, Dian Ouyang, Shiyu Yang, Xuemin Lin, Zhihong Tian: Size-constrained Community Search on Large Networks: An Effective and Efficient Solution. Accepted by IEEE Trans. Knowl. Data Eng. [paper, code]
Jiadong Xie, Fan Zhang*, Kai Wang, Xuemin Lin, Wenjie Zhang: Minimizing the Influence of Misinformation via Vertex Blocking. ICDE 2023: 789-801 [paper]
Jiujing Zhang, Shiyu Yang, Dian Ouyang, Fan Zhang, Xuemin Lin, Long Yuan: Hop-Constrained s-t Simple Path Enumeration on Large Dynamic Graphs. ICDE 2023: 762-775 [paper, code]
Wancheng Long, Xiaowen Li, Liping Wang, Fan Zhang, Zhe Lin, Xuemin Lin: Efficient m-Closest Entity Matching over Heterogeneous Information Networks. Knowl. Based Syst. 263: 110299 (2023)
Siyi Teng, Jiadong Xie, Mingkai Zhang, Kai Wang, Fan Zhang: IMinimize: A System for Negative Influence Minimization via Vertex Blocking. CIKM 2023: 5101-5105 (Demo) [paper, code]
Yihong Huang, Liping Wang, Fan Zhang, Xuemin Lin: Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method. ICDE 2023: 2565-2578 [paper, code]
2022
Qingyuan Linghu, Fan Zhang*, Xuemin Lin, Wenjie Zhang, Ying Zhang: Anchored Coreness: Efficient Reinforcement of Social Networks. VLDB J. 31(2): 227-252 (2022) [paper]
Deming Chu, Fan Zhang*, Wenjie Zhang, Xuemin Lin, Ying Zhang: Hierarchical Core Decomposition in Parallel: From Construction to Subgraph Search. ICDE 2022: 1138-1151 [paper]
Fan Zhang, Jiadong Xie, Kai Wang, Shiyu Yang, Yu Jiang: Discovering Key Users for Defending Network Structural Stability. World Wide Web 25(2): 679-701 (2022)
Zhongxin Zhou, Wenchao Zhang, Fan Zhang*, Deming Chu, Binghao Li: VEK: a vertex-oriented approach for edge k-core problem. World Wide Web 25(2): 723-740 (2022)
2021
Conggai Li, Fan Zhang*, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin: Discovering Fortress-like Cohesive Subgraphs. Knowl. Inf. Syst. 63(12): 3217-3250 (2021) [paper]
Cheng Qiao, Kenneth N. Brown, Fan Zhang, Zhihong Tian: Adaptive Asynchronous Clustering Algorithms for Wireless Mesh Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2610-2627 (2023)
Zhe Lin, Fan Zhang, Xuemin Lin, Wenjie Zhang, Zhihong Tian: Hierarchical Core Maintenance on Large Dynamic Graphs. Proc. VLDB Endow. 14(5): 757-770 (2021) [paper]
Boge Liu, Fan Zhang*, Wenjie Zhang, Xuemin Lin, Ying Zhang: Efficient Community Search with Size Constraint. ICDE 2021: 97-108 [paper]
2020
Qingyuan Linghu, Fan Zhang*, Xuemin Lin, Wenjie Zhang, Ying Zhang: Global Reinforcement of Social Networks: The Anchored Coreness Problem. SIGMOD Conference 2020: 2211-2226 [paper]
Deming Chu, Fan Zhang*, Xuemin Lin, Wenjie Zhang, Ying Zhang, Yinglong Xia, Chenyi Zhang: Finding the Best k in Core Decomposition: A Time and Space Optimal Solution. ICDE 2020: 685-696 [paper]
Chen Zhang, Fan Zhang*, Wenjie Zhang, Boge Liu, Ying Zhang, Lu Qin, Xuemin Lin: Exploring Finer Granularity within the Cores: Efficient (k, p)-Core Computation. ICDE 2020: 181-192 [paper]
Fan Zhang*, Conggai Li, Ying Zhang, Lu Qin, Wenjie Zhang: Finding Critical Users in Social Communities: The Collapsed Core and Truss Problems. IEEE Trans. Knowl. Data Eng. 32(1): 78-91 (2020) [paper]
Maryam Ghafouri, Kai Wang, Fan Zhang, Ying Zhang, Xuemin Lin: Efficient Graph Hierarchical Decomposition with User Engagement and Tie Strength. DASFAA (2) 2020: 448-465
2019
Conggai Li, Fan Zhang*, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin: Efficient Progressive Minimum k-core Search. Proc. VLDB Endow. 13(3): 362-375 (2019) [paper]
Fan Zhang*, Xuemin Lin, Ying Zhang, Lu Qin, Wenjie Zhang: Efficient community discovery with user engagement and similarity. VLDB J. 28(6): 987-1012 (2019) [paper]
Zhongxin Zhou, Fan Zhang*, Xuemin Lin, Wenjie Zhang, Chen Chen: K-Core Maximization: An Edge Addition Approach. IJCAI 2019: 4867-4873 [paper]
Weijie Zhu, Mengqi Zhang, Chen Chen, Xiaoyang Wang, Fan Zhang, Xuemin Lin: Pivotal Relationship Identification: The K-Truss Minimization Problem. IJCAI 2019: 4874-4880
Boge Liu, Fan Zhang, Chen Zhang, Wenjie Zhang, Xuemin Lin: CoreCube: Core Decomposition in Multilayer Graphs. WISE 2019: 694-710
Chen Zhang, Wenjie Zhang, Ying Zhang, Lu Qin, Fan Zhang, Xuemin Lin: Selecting the Optimal Groups: Efficiently Computing Skyline k-Cliques. CIKM 2019: 1211-1220
Deming Chu, Fan Zhang*, Jingjing Lin: Similarity Evaluation on Labeled Graphs via Hierarchical Core Decomposition, CCF Big Data 2019
Wanqi Liu, Dong Wen, Hanchen Wang, Fan Zhang, Xubo Wang: Skyline Nearest Neighbor Search on Multi-layer Graphs, ICDE Workshops 2019
2018
Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin: Efficiently Reinforcing Social Networks over User Engagement and Tie Strength. ICDE 2018: 557-568 [paper]
Fan Zhang, Long Yuan, Ying Zhang, Lu Qin, Xuemin Lin, Alexander Zhou: Discovering Strong Communities with User Engagement and Tie Strength. DASFAA (1) 2018: 425-441 [paper]
Zhu Qing, Long Yuan, Fan Zhang, Lu Qin, Xuemin Lin, Wenjie Zhang: External Topological Sorting in Large Graphs. DASFAA (1) 2018: 203-220
Dian Ouyang, Long Yuan, Fan Zhang, Lu Qin, Xuemin Lin: Towards Efficient Path Skyline Computation in Bicriteria Networks. DASFAA (1) 2018: 239-254
Alexander Zhou, Fan Zhang, Long Yuan, Ying Zhang, Xuemin Lin: Finding Maximal Stable Cores in Social Networks. ADC 2018: 224-235
2017
Fan Zhang, Wenjie Zhang, Ying Zhang, Lu Qin, Xuemin Lin: OLAK: An Efficient Algorithm to Prevent Unraveling in Social Networks. Proc. VLDB Endow. 10(6): 649-660 (2017) [paper]
Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin: When Engagement Meets Similarity: Efficient (k, r)-Core Computation on Social Networks. Proc. VLDB Endow. 10(10): 998-1009 (2017) [paper]
Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin: Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem. AAAI 2017: 245-251 [paper]
Invited Talks
Fan Zhang. Efficient Graph Computation: Cohesive Subgraph, Graph Decomposition, Graph Stability, and Others. Huawei Algorithm Forum 2023.
Fan Zhang. The Stability of Social Networks: Models and Computations. CAAI Big Data and Social Computing Conference 2023.
Fan Zhang. Efficient Graph Computation: Cohesive Subgraph, Graph Decomposition, and More. UNIST CSE×AI Seminar 2023.
Fan Zhang, Kai Wang. Cohesive Subgraph Search: Models, Algorithms, and Applications. APWeb-WAIM 2022.
Fan Zhang. The Progress of Network Structural Stability. WISA 2022.
Ying Zhang, Lu Qin, Fan Zhang, Wenjie Zhang: Hierarchical Decomposition of Big Graphs. ICDE 2019: 2064-2067
Wenjie Zhang, Fan Zhang, Ying Zhang, Lu Qin: Cohesive Subgraphs with Hierarchical Decomposition on Big Graphs. DASFAA 2019
Academic Services
- Program Committee Member
- KDD 2024, VLDB 2024, ICDE 2024, TheWebConf 2024, CIKM 2024 (SPC), SDM 2024
- KDD 2023, VLDB 2023, TheWebConf 2023, CIKM 2023
- KDD 2022, VLDB 2022, TheWebConf 2022, AAAI 2022, CIKM 2022, DASFAA 2022
- CIKM 2021, DASFAA 2021
- VLDB 2020 (demo), CIKM 2019, ICDE 2019 (poster)
- Invited Journal Reviewer
- TKDE, VLDB Journal, World Wide Web, Complexity, etc.
- External Reviewer
- SIGMOD, ICDE, EDBT, et
Teaching
- Course Instructor
- Guidance of Research Paper Writing - 2020, 2021, 2022, 2023, 2024
- Large-scale Graph Computation and Mining - 2022, 2024
- Discrete Mathematics - 2024
- Lecturer
- Discrete Mathematics - 2023
- Big Data Technologies - 2019, 2020, 2021, 2023, 2024
- Head TA
- Social and Information Network Analysis (UTS) - 2017, 2018
Recent Awards
ACM SIGMOD China Rising Star Award, 2023
CAAI BDSC Social Computing Young Scholar Rising Star, 2023
Outstanding Paper Award, Computer Academy of Guangdong, 2022
CCF Technology Achievement Award, Second Prize in Natural Science (5/5), 2022
Excellence in Research Award, CIAT, GZHU, 2021
Our Students
- Co-supervised by me:
- Conggai Li, since PhD study at UTS, now a Postdoc in CSIRO.
- Qingyuan Linghu, since PhD study at UNSW, now an Engineer at TikTok AU.
- Zhe Lin, since PhD study at ECNU, now an Engineer at Xiaohongshu.
- Deming Chu, since master study at ECNU, now pursue PhD at UNSW.
- Jiujing Zhang, since master study at GZU, now pursue PhD at UNSW.
- Zhongxin Zhou, since master study at ECNU, now an Engineer at Meituan.
- Jiadong Xie, since bachelor study at ECNU, now pursue PhD at CUHK.
- Siyi Teng, since bachelor study at ECNU, to pursue PhD at CUHK.
- Supervised by me:
- Zhuoran Wang, since master study at GZU, now pursue PhD at UNSW.
- Haicheng Guo, since master study at GZU, to pursue PhD study in Australia.
- Xintong Wang, since master study at GZU, now pursue PhD at ZJU.
- Xu Lei, since master study at GZU, now an Engineer at Xiangsu Software.