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.

Kuiye Ding, Yifan Hu, Hanchen Wang, Hao Xue (2026). Multivariate Time Series Forecasting needs Cross Variable Loss. Annual Conference on Neural Information Processing Systems (NeurIPS) 2026.
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Han Chen, Hanchen Wang, Hongmei Chen, Ying Zhang, Lu Qin, Wenjie Zhang (2026). HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis. Annual Conference on Neural Information Processing Systems (NeurIPS) 2026, Evaluations and Datasets Track.
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Jianke Yu, Hanchen Wang, Chen Chen, Xiaoyang Wang, Wenjie Zhang, Ying Zhang, Xijuan Liu (2026). SARL: A Scalable Attribute-Informed Representation Learning Framework for Bipartite Graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2026.
Yifan Zhu, Hanchen Wang, Wenjie Zhang, Alexander Zhou, Ying Zhang (2026). UniCom: A Unified Framework for Community Search and Detection via Transfer Learning. IEEE International Conference on Data Mining (ICDM) 2026.
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Runze Li, Hanchen Wang, Wenjie Zhang, Binghao Li, Yu Zhang, Xuemin Lin, Ying Zhang (2026). FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation. IEEE International Conference on Data Mining (ICDM) 2026.
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Yijia Mi, Haobo Wei, Hanchen Wang, Jianke Yu, Ying Zhang, Xijuan Liu (2026). Mining Discriminative Salient Objects with Optimal Transport for Few-Shot Image Classification. 17th International FLINS Conference and 21st International Conference on Intelligent Systems and Knowledge Engineering (FLINS-ISKE) 2026, LNCS 16754, pp. 408-426.
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Qiuyu Guo, Jianye Yang, Wenjie Zhang, Hanchen Wang, Ying Zhang, Xuemin Lin (2026). Algebraic Subgraph Counting. ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD) 2027.
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Shaozhen Ma, Hanchen Wang, Dong Wen, Wenjie Zhang, Wei Huang, Ying Zhang (2026). WOCD: A semi-supervised method for overlapping community detection using weak cliques. Knowledge-Based Systems, Vol. 348, 2026, Art. 116397.
DOI URL Preprint
Hanchen Wang (2026). OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios. OpenHalDet Benchmark — arXiv preprint.
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Han Chen, Hanchen Wang, Hongmei Chen, Lu Qin, Wenjie Zhang, Ying Zhang (2026). HYDRA: Proactive Android Malware Drift Adaptation via Hierarchical Graph Contrastive Learning. ACM Conference on Computer and Communications Security (CCS) 2026.
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Wei Huang, Hanchen Wang, Dong Wen, Wenjie Zhang, Ying Zhang, Xuemin Lin (2026). Towards Generative Graph Matching for Graph Edit Distance Computation. International Conference on Machine Learning (ICML) 2026.
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Haoran Li, Shulun Chen, Shaoyuan Sun, Hanchen Wang (2026). Multi-Agent Coordination Adaptation via Structure-Guided Orchestration. CoRR (Preprint).
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Shaozhen Ma, Wei Huang, Hanchen Wang, Dong Wen, Wenjie Zhang (2026). GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model. CoRR (Preprint).
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Yuxin Jin, Siyuan Zhang, Hanchen Wang, Lu Qin, Ying Zhang, Wenjie Zhang (2026). EXG: Self-Evolving Agents with Experience Graphs. CoRR (Preprint).
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Yuxin Jin, Hanchen Wang, Ying Zhang, Wenjie Zhang (2026). Data-Centric Foundations of Agentic AI. IEEE International Conference on Data Engineering (ICDE) 2026 (Tutorial).
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Jianke Yu, Hanchen Wang, Ying Zhang, Wenjie Zhang, Lu Qin, Longbin Lai, Bailin Yang (2026). MGDN: A Graph of Graphs Neural Network for Malware Detection. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2026.
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Yuxin Jin, Hanchen Wang, Ying Zhang, Dong Wen, Lu Qin, Wenjie Zhang (2026). Data in Agentic AI: A Comprehensive Survey. TechRxiv (Preprint).
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Zhuo Ma, Dong Wen, Hanchen Wang, Wentao Li, Wenjie Zhang, Lu Qin (2026). Accelerating K-Core Computation in Temporal Graphs. 29th International Conference on Extending Database Technology (EDBT) 2026.
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Wei Huang, Hanchen Wang, Dong Wen, Wenjie Zhang (2026). Small Shifts, Large Gains: Unlocking Traditional TSP Heuristic Guided-Sampling via Unsupervised Neural Instance Modification. CoRR (Preprint).
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Wei Huang, Hanchen Wang, Dong Wen, Xin Cao, Ying Zhang, Wenjie Zhang (2026). RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement Learning. CoRR (Preprint).
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Xulu Gong, Hanchen Wang, Jianke Yu, Chen Chen, Xiaoyang Wang, Kecheng Wang, Xubo Wang, Ying Zhang (2026). Finding critical users in social networks with reinforcement learning. Information Sciences, Vol. 741, 2026.
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Runze Li, Hanchen Wang, Ying Zhang, Wenjie Zhang (2026). Algorithmic and Learning-based Approaches to Subgraph Matching and Counting: A Survey. TechRxiv (Preprint).
Zhuo Ma, Wei Huang, Dong Wen, Hanchen Wang, Zhengyi Yang (2025). Computing Historical k-Core in Parallel. Databases Theory and Applications - 36th Australasian Database Conference (ADC) 2025, LNCS 16391, pp. 18-32.
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Guangxin Su, Hanchen Wang, Jianwei Wang, Wenjie Zhang, Ying Zhang, Jian Pei (2025). Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications. CoRR (Preprint).
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Ting Li, Hanchen Wang, Yiran Li, Xiaolei Liu (2025). Give Me Some SALT: Structure-Aware Link Modeling for Temporal Weighted Link Prediction. 34th ACM International Conference on Information and Knowledge Management (CIKM) 2025.
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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. NeurIPS 2025.
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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).
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Qiuyu Guo, Jianye Yang, Wenjie Zhang, Hanchen Wang, Ying Zhang, Xuemin Lin (2025). Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning based Approach. Proceedings of the VLDB Endowment, Vol. 18(8), pages 2695-2708, 2025 (VLDB 2025).
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Peilun Yang, Hanchen Wang, Zhangyi Xu, Zhengping Qian, Yongheng Wang, Ying Zhang (2025). Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks. IEEE 41st International Conference on Data Engineering (ICDE) 2025.
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Min Pei, Jianke Yu, Chen Chen, Hanchen Wang, Xiaoyang Wang, Ying Zhang (2025). IGFM: An Enhanced Graph Similarity Computation Method with Fine-Grained Analysis. Data Science and Engineering, Vol. 10(3), 2025, pp. 396-410.
DOI URL Correction
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.
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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 (Tutorial).
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Wei Huang, Hanchen Wang, Dong Wen, Wenjie Zhang, Ying Zhang, Xuemin Lin (2025). DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching. CoRR.
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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.
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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.
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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).
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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.
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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..
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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.
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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.
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Hanchen Wang, Kai Wang, Wenjie Zhang, Ying Zhang (2024). Bipartite Graph Analytics: Current Techniques and Future Trends. ICDE ‘24.
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Guangxin Su, Hanchen Wang*, Ying Zhang, Wenjie Zhang, Xuemin Lin (2024). Simple and Deep Graph Attention Networks. KBS ‘24.
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Lincan Li, Hanchen Wang, Wenjie Zhang, Adelle Coster (2024). STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model. Arxiv.
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Xulu Gong, Hanchen Wang*, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Ying Zhang (2024). Influence Maximization on Hypergraphs via Multi-Hop Influence Estimation. IPM ‘24.
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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.
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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.
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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.
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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.
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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.
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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.
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