Publications

This is the list of my publications, ordered by publication date. * indicates a corresponding author, and # indicates equal contributions. You can also check my Google Scholar.

Hanchen Wang, Ying Zhang, Wenjie Zhang (2025). Machine Learning for Graph Data Management and Query Processing. International Conference on Very Large Data Bases (VLDB) 2025 (Tutorial).

Wei Huang, Hanchen Wang, Dong Wen, Shaozhen Ma, Wenjie Zhang, Xuemin Lin (2025). Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN. CoRR.

Yunyi Zhu, Yuan Wang, Elisabeth Zhu, Zeyu Ma, Hanchen Wang, Chunsheng Chen, Jing Guan, T David Waite (2025). Predicting Membrane Fouling of Submerged Membrane Bioreactor Wastewater Treatment Plants Using Machine Learning. Environmental Science & Technology.

Hanchen Wang, Dawei Cheng, Ying Zhang, Wenjie Zhang (2025). AIGC for Graphs: Current Techniques and Future Trends. IEEE International Conference on Data Engineering (ICDE) 2025.

Wei Huang, Hanchen Wang, Dong Wen, Wenjie Zhang, Ying Zhang, Xuemin Lin (2025). DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching. CoRR.

Kaiyu Chen, Dong Wen, Hanchen Wang, Zhengyi Yang, Wenjie Zhang, Xuemin Lin (2025). Covering K-Cliques in Billion-Scale Graphs. Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025.

Yuanyuan Xu, Hanchen Wang, Wenjie Zhang, Lexing Xie, Yin Chen, Flora Salim, Ying Zhang, Justin Gooding, Toby Walsh (2025). AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models. CoRR.

Jianke Yu, Hanchen Wang, Chen Chen, Xiaoyang Wang, Lu Qin, Wenjie Zhang, Ying Zhang, Xijuan Liu (2025). RIDA: a robust attack framework on incomplete graphs. World Wide Web (WWW).

Guangxin Su, Hanchen Wang, Ying Zhang, Marc R. Wilkins, Pablo F. Canete, Di Yu, Yang Yang, Wenjie Zhang (2025). Inferring gene regulatory networks by hypergraph generative model. Cell Reports Methods.

Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang, Bailin Yang (2024). Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms. IEEE Trans. Knowl. Data Eng..

Guangxin Su, Yifan Zhu, Wenjie Zhang, Hanchen Wang, Ying Zhang (2024). Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning. CoRR.

Peilun Yang, Hanchen Wang, Jianye Yang, Zhengping Qian, Ying Zhang, Xuemin Lin (2024). Deep Learning Approaches for Similarity Computation: A Survey. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024.

Hanchen Wang, Kai Wang, Wenjie Zhang, Ying Zhang (2024). Bipartite Graph Analytics: Current Techniques and Future Trends. ICDE ‘24.

Guangxin Su, Hanchen Wang^*, Ying Zhang, Wenjie Zhang, Xuemin Lin (2024). Simple and Deep Graph Attention Networks. KBS ‘24.

Lincan Li, Hanchen Wang, Wenjie Zhang, Adelle Coster (2024). STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model. Arxiv.

Xulu Gong, Hanchen Wang^*, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Ying Zhang (2024). Influence Maximization on Hypergraphs via Multi-Hop Influence Estimation. IPM ‘24.

Zuocheng Ding, Yufan Chen, Hanchen Wang, Xiaoyang Wang, Wenjie Zhang, Ying Zhang (2024). TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data. Databases Theory and Applications - 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, December 16-18, 2024, Proceedings.

Wei Huang, Hanchen Wang, Dong Wen, Xuefeng Chen, Wenjie Zhang, Ying Zhang (2024). GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs. IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024.

Jianke Yu, Xianhang Zhang, Hanchen Wang^*, Xiaoyang Wang, Wenjie Zhang, Ying Zhang (2023). FPGN: follower prediction framework for infectious disease prevention. World Wide Web 2023.

Jianke Yu, Hanchen Wang^*, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang (2023). Group-based Fraud Detection Network on e-Commerce Platforms. KDD ‘23.

Han Chen, Hanchen Wang, Hongmei Chen, Ying Zhang, Wenjie Zhang, Xuemin Lin (2023). Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2023.

Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin (2023). Neural Similarity Search on Supergraph Containment. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2023.

Peilun Yang, Hanchen Wang^*, Defu Lian, Ying Zhang, Lu Qin, Wenjie Zhang (2022). TMN: Trajectory Matching Networks for Learning Similarity Computation. ICDE ‘22.

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Hanchen Wang, Rong Hu, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang (2022). Neural Subgraph Counting with Wasserstein Estimator. SIGMOD ‘22.

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Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin (2022). Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. ICDE ‘22.

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Xianhang Zhang, Hanchen Wang^*, Jianke Yu, Chen Chen, Xiaoyang Wang, Wenjie Zhang (2022). Polarity-based Graph Neural Network for Sign Prediction in Signed Bipartite Graphs. World Wide Web 2022.

Xianhang Zhang, Hanchen Wang^*, Jianke Yu, Chen Chen, Xiaoyang Wang, Wenjie Zhang (2022). Bipartite Graph Capsule Network. World Wide Web 2022.

Hanchen Wang, Defu Lian, Wanqi Liu, Dong Wen, Chen Chen, Xiaoyang Wang (2021). Powerful Graph of Graphs Neural Network for Structured Entity Analysis. World Wide Web 2021.

Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin (2021). Binarized Graph Neural Network. World Wide Web 2021.

Peilun Yang, Hanchen Wang^*, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin (2021). T3S: Effective Representation Learning for Trajectory Similarity Computation. ICDE ‘21.

Wanqi Liu, Hanchen Wang^*, Ying Zhang, Wei Wang, Lu Qin, Xuemin Lin (2020). EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search. The VLDB Journal 2020.

Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin (2020). GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. IJCAI ‘20.

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Wanqi Liu, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang (2020). I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space. Database Systems for Advanced Applications 2020.

Wanqi Liu, Dong Wen, Hanchen Wang, Fan Zhang, Xubo Wang (2019). Skyline Nearest Neighbor Search on Multi-layer Graphs. 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW).

Wanqi Liu, Hanchen Wang, Ying Zhang, Wei Wang, Lu Qin (2019). I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space. 2019 IEEE 35th International Conference on Data Engineering (ICDE).