Hanchen Wang
  • About
  • News
  • Publications
  • Academic Services
  • Supervision
    • 🧑‍🎓 Supervision
    • Full List
    • Current Ph.D.
    • Current MPhil
  • More about me
  • Supervision
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • News
    • 🎉 Agentic AI Survey & ICDE 2026 Tutorial
    • 🎉 One paper accepted by ICML 2026
    • 🎉 One paper accepted by TKDE 2026
    • 🎉 One paper accepted by EDBT 2026
    • 🎉 One paper accepted by Information Sciences
    • 🎉 One paper accepted by NeurIPS 2025
    • 🎉 One paper accepted by CIKM 2025
    • 🎉 VLDB Tutorial
    • 🎉 One paper accepted by VLDB 2025
    • 🎉 New Position at UTS
    • 🎉 One paper accepted by ICDE 2025
  • Publications
    • Data-Centric Foundations of Agentic AI
    • Towards Generative Graph Matching for Graph Edit Distance Computation
    • MGDN: A Graph of Graphs Neural Network for Malware Detection
    • Data in Agentic AI: A Comprehensive Survey
    • Accelerating K-Core Computation in Temporal Graphs
    • Small Shifts, Large Gains: Unlocking Traditional TSP Heuristic Guided-Sampling via Unsupervised Neural Instance Modification
    • Finding critical users in social networks with reinforcement learning
    • RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement Learning
    • Give Me Some SALT: Structure-Aware Link Modeling for Temporal Weighted Link Prediction
    • Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
    • Machine Learning for Graph Data Management and Query Processing
    • Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning based Approach
    • Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks
    • Predicting Membrane Fouling of Submerged Membrane Bioreactor Wastewater Treatment Plants Using Machine Learning
    • AIGC for Graphs: Current Techniques and Future Trends
    • Covering K-Cliques in Billion-Scale Graphs
    • DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching
    • AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models
    • Inferring gene regulatory networks by hypergraph generative model
    • RIDA: a robust attack framework on incomplete graphs
    • Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning
    • Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms
    • Deep Learning Approaches for Similarity Computation: A Survey
    • Bipartite Graph Analytics: Current Techniques and Future Trends
    • Simple and Deep Graph Attention Networks
    • STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model
    • Influence Maximization on Hypergraphs via Multi-Hop Influence Estimation
    • GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs
    • TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data
    • FPGN: follower prediction framework for infectious disease prevention
    • Group-based Fraud Detection Network on e-Commerce Platforms
    • Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions
    • Neural Similarity Search on Supergraph Containment
    • TMN: Trajectory Matching Networks for Learning Similarity Computation
    • Neural Subgraph Counting with Wasserstein Estimator
    • Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching
    • Polarity-based Graph Neural Network for Sign Prediction in Signed Bipartite Graphs
    • Bipartite Graph Capsule Network
    • Powerful Graph of Graphs Neural Network for Structured Entity Analysis
    • Binarized Graph Neural Network
    • T3S: Effective Representation Learning for Trajectory Similarity Computation
    • EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search
    • GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
    • I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space
    • Skyline Nearest Neighbor Search on Multi-layer Graphs
    • I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space
  • Students
    • Jianke Yu
    • Xinyi Li
    • Yifan Zhu
    • Yunyi Zhu
    • Han Chen
    • Jueying Huang
    • Shenghao Xu
    • Xulu Gong
    • Zhouyang Xie
    • Runze Li
    • Wei Huang
    • Zuocheng Ding
    • Yijia Mi
    • Yuxin Jin
    • Shaozhen Ma
    • Shulun Chen
    • Kuiye Ding
    • Yuanyuan Zhou
    • Shiqi Yang
    • Yang Yang
    • Zhehao Dai
    • Guangxin Su
    • Yiheng Hu
    • Xingbo Du
    • Dejun Kong
    • Jiadong Chen
    • Xiaoxian Liu
    • Guangjian Zhang
    • Xingyu Tan
    • Mengting Pan
  • Teaching
    • Learn JavaScript
    • Learn Python

🎉 One paper accepted by Information Sciences

Nov 1, 2025·
Hanchen Wang
Hanchen Wang
· 1 min read

We have one paper, titled “Finding critical users in social networks with reinforcement learning”, accepted by Information Sciences (Vol. 741, 2026). Congrats to Xulu.

Last updated on May 18, 2026
Hanchen Wang
Authors
Hanchen Wang
ARC DECRA Fellow, Lecturer
← 🎉 One paper accepted by EDBT 2026 Dec 1, 2025
🎉 One paper accepted by NeurIPS 2025 Sep 20, 2025 →

© 2026 Hanchen Wang. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.