Publications

2027

2026

ICDM 2026CORE A*

FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation

Runze Li, Hanchen Wang, Wenjie Zhang, Binghao Li, Yu Zhang, Xuemin Lin, Ying Zhang

ICDM 2026CORE A*

UniCom: A Unified Framework for Community Search and Detection via Transfer Learning

Yifan Zhu, Hanchen Wang, Wenjie Zhang, Alexander Zhou, Ying Zhang

arXiv 2026Preprint

Multivariate Time Series Forecasting needs Cross Variable Loss

Kuiye Ding, Yifan Hu, Hanchen Wang, Hao Xue

ICDE 2026CORE A*Tutorial

Data-Centric Foundations of Agentic AI

Yuxin Jin, Hanchen Wang, Ying Zhang, Wenjie Zhang

arXiv 2026Preprint

EXG: Self-Evolving Agents with Experience Graphs

Yuxin Jin, Siyuan Zhang, Hanchen Wang, Lu Qin, Ying Zhang, Wenjie Zhang

arXiv 2026Preprint

GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model

Shaozhen Ma, Wei Huang, Hanchen Wang, Dong Wen, Wenjie Zhang

arXiv 2026Preprint

Multi-Agent Coordination Adaptation via Structure-Guided Orchestration

Haoran Li, Shulun Chen, Shaoyuan Sun, Hanchen Wang

ICML 2026CORE A*

Towards Generative Graph Matching for Graph Edit Distance Computation

Wei Huang, Hanchen Wang, Dong Wen, Wenjie Zhang, Ying Zhang, Xuemin Lin

TKDE 2026JCR Q1

MGDN: A Graph of Graphs Neural Network for Malware Detection

Jianke Yu, Hanchen Wang, Ying Zhang, Wenjie Zhang, Lu Qin, Longbin Lai, Bailin Yang

EDBT 2026CORE A

Accelerating K-Core Computation in Temporal Graphs

Zhuo Ma, Dong Wen, Hanchen Wang, Wentao Li, Wenjie Zhang, Lu Qin

arXiv 2026Preprint

Small Shifts, Large Gains: Unlocking Traditional TSP Heuristic Guided-Sampling via Unsupervised Neural Instance Modification

Wei Huang, Hanchen Wang, Dong Wen, Wenjie Zhang

TechRxiv 2026Preprint

Algorithmic and Learning-based Approaches to Subgraph Matching and Counting: A Survey

Runze Li, Hanchen Wang, Ying Zhang, Wenjie Zhang

INFSCI 2026JCR Q1

Finding critical users in social networks with reinforcement learning

Xulu Gong, Hanchen Wang, Jianke Yu, Chen Chen, Xiaoyang Wang, Kecheng Wang, Xubo Wang, Ying Zhang

Information Sciences, Vol. 741, 2026

ISKE 2026

Mining Discriminative Salient Objects with Optimal Transport for Few-Shot Image Classification

Yijia Mi, Haobo Wei, Hanchen Wang, Jianke Yu, Ying Zhang, Xijuan Liu

arXiv 2026Preprint

RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement Learning

Wei Huang, Hanchen Wang, Dong Wen, Xin Cao, Ying Zhang, Wenjie Zhang

KBS 2026JCR Q1

WOCD: A semi-supervised method for overlapping community detection using weak cliques

Shaozhen Ma, Hanchen Wang, Dong Wen, Wenjie Zhang, Wei Huang, Ying Zhang

2025

TechRxiv 2025Preprint

Data in Agentic AI: A Comprehensive Survey

Yuxin Jin, Hanchen Wang, Ying Zhang, Dong Wen, Lu Qin, Wenjie Zhang

CIKM 2025CORE A

Give Me Some SALT: Structure-Aware Link Modeling for Temporal Weighted Link Prediction

Ting Li, Hanchen Wang, Yiran Li, Xiaolei Liu

arXiv 2025Preprint

Large language models meet text-attributed graphs: A survey of integration frameworks and applications

Guangxin Su, Hanchen Wang, Jianwei Wang, Wenjie Zhang, Ying Zhang, Jian Pei

NeurIPS 2025CORE A*

Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN

Wei Huang, Hanchen Wang, Dong Wen, Shaozhen Ma, Wenjie Zhang, Xuemin Lin

VLDB 2025CORE A*Tutorial

Machine Learning for Graph Data Management and Query Processing

Hanchen Wang, Ying Zhang, Wenjie Zhang

PVLDB 2025CORE A*

Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning based Approach

Qiuyu Guo, Jianye Yang, Wenjie Zhang, Hanchen Wang, Ying Zhang, Xuemin Lin

Proceedings of the VLDB Endowment, Vol. 18(8), pages 2695-2708, 2025 (VLDB 2025)

ICDE 2025CORE A*

Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks

Peilun Yang, Hanchen Wang, Zhangyi Xu, Zhengping Qian, Yongheng Wang, Ying Zhang

EST 2025JCR Q1

Predicting Membrane Fouling of Submerged Membrane Bioreactor Wastewater Treatment Plants Using Machine Learning

Yunyi Zhu, Yuan Wang, Elisabeth Zhu, Zeyu Ma, Hanchen Wang, Chunsheng Chen, Jing Guan, T David Waite

ICDE 2025CORE A*Tutorial

AIGC for Graphs: Current Techniques and Future Trends

Hanchen Wang, Dawei Cheng, Ying Zhang, Wenjie Zhang

WWW 2025CORE A*

Covering K-Cliques in Billion-Scale Graphs

Kaiyu Chen, Dong Wen, Hanchen Wang, Zhengyi Yang, Wenjie Zhang, Xuemin Lin

arXiv 2025Preprint

AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models

Yuanyuan Xu, Hanchen Wang, Wenjie Zhang, Lexing Xie, Yin Chen, Flora Salim, Ying Zhang, Justin Gooding, Toby Walsh

ADC 2025CORE B

Computing Historical k-Core in Parallel

Zhuo Ma, Wei Huang, Dong Wen, Hanchen Wang, Zhengyi Yang

DSE 2025JCR Q1

IGFM: An Enhanced Graph Similarity Computation Method with Fine-Grained Analysis

Min Pei, Jianke Yu, Chen Chen, Hanchen Wang, Xiaoyang Wang, Ying Zhang

WWWJ 2025JCR Q2

RIDA: a robust attack framework on incomplete graphs

Jianke Yu, Hanchen Wang, Chen Chen, Xiaoyang Wang, Lu Qin, Wenjie Zhang, Ying Zhang, Xijuan Liu

2024

arXiv 2024Preprint

Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning

Guangxin Su, Yifan Zhu, Wenjie Zhang, Hanchen Wang, Ying Zhang

TKDE 2024JCR Q1

Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms

Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang, Bailin Yang

TKDE 2024JCR Q1

Deep Learning Approaches for Similarity Computation: A Survey

Peilun Yang, Hanchen Wang, Jianye Yang, Zhengping Qian, Ying Zhang, Xuemin Lin

ICDE 2024CORE A*Tutorial

Bipartite Graph Analytics: Current Techniques and Future Trends

Hanchen Wang, Kai Wang, Wenjie Zhang, Ying Zhang

KBS 2024JCR Q1

Simple and Deep Graph Attention Networks

Guangxin Su, Hanchen Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin

arXiv 2024Preprint

STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model

Lincan Li, Hanchen Wang, Wenjie Zhang, Adelle Coster

IPM 2024JCR Q1

Influence Maximization on Hypergraphs via Multi-Hop Influence Estimation

Xulu Gong, Hanchen Wang, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Ying Zhang

ICDM 2024CORE A*

GQ: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs

Wei Huang, Hanchen Wang, Dong Wen, Xuefeng Chen, Wenjie Zhang, Ying Zhang

ADC 2024CORE B

TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data

Zuocheng Ding, Yufan Chen, Hanchen Wang, Xiaoyang Wang, Wenjie Zhang, Ying Zhang

2023

WWWJ 2023JCR Q2

FPGN: follower prediction framework for infectious disease prevention

Jianke Yu, Xianhang Zhang, Hanchen Wang, Xiaoyang Wang, Wenjie Zhang, Ying Zhang

KDD 2023CORE A*

Group-based Fraud Detection Network on e-Commerce Platforms

Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang

TKDE 2023JCR Q1

Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions

Han Chen, Hanchen Wang, Hongmei Chen, Ying Zhang, Wenjie Zhang, Xuemin Lin

TKDE 2023JCR Q1

Neural Similarity Search on Supergraph Containment

Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin

2022

ICDE 2022CORE A*

TMN: Trajectory Matching Networks for Learning Similarity Computation

Peilun Yang, Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Wenjie Zhang

SIGMOD 2022CORE A*

Neural Subgraph Counting with Wasserstein Estimator

Hanchen Wang, Rong Hu, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang

ICDE 2022CORE A*

Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching

Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin

WWWJ 2022JCR Q2

Polarity-based Graph Neural Network for Sign Prediction in Signed Bipartite Graphs

Xianhang Zhang, Hanchen Wang, Jianke Yu, Chen Chen, Xiaoyang Wang, Wenjie Zhang

WWWJ 2022JCR Q2

Bipartite Graph Capsule Network

Xianhang Zhang, Hanchen Wang, Jianke Yu, Chen Chen, Xiaoyang Wang, Wenjie Zhang

2021

WWWJ 2021JCR Q2

Powerful Graph of Graphs Neural Network for Structured Entity Analysis

Hanchen Wang, Defu Lian, Wanqi Liu, Dong Wen, Chen Chen, Xiaoyang Wang

WWWJ 2021JCR Q2

Binarized Graph Neural Network

Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin

ICDE 2021CORE A*

T3S: Effective Representation Learning for Trajectory Similarity Computation

Peilun Yang, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin

2020

VLDBJ 2020JCR Q1

EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search

Wanqi Liu, Hanchen Wang, Ying Zhang, Wei Wang, Lu Qin, Xuemin Lin

IJCAI 2020CORE A*

GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions

Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin

DASFAA 2020CORE B

I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space

Wanqi Liu, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang

2019

ICDEW 2019

Skyline Nearest Neighbor Search on Multi-layer Graphs

Wanqi Liu, Dong Wen, Hanchen Wang, Fan Zhang, Xubo Wang

ICDE 2019CORE A*

I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space

Wanqi Liu, Hanchen Wang, Ying Zhang, Wei Wang, Lu Qin