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ORCIDHanchen Wang 0001
- > Home > Persons > Hanchen Wang 0001
Publications
- 2026
[j19]Xulu Gong, Hanchen Wang, Jianke Yu
, Chen Chen, Xiaoyang Wang, Kecheng Wang, Xubo Wang, Ying Zhang:
Finding critical users in social networks with reinforcement learning. Inf. Sci. 741: 123228 (2026)- [j18]Jianke Yu, Hanchen Wang, Ying Zhang, Wenjie Zhang, Lu Qin, Longbin Lai, Bailin Yang:
MGDN: A Graph of Graphs Neural Network for Malware Detection. IEEE Trans. Knowl. Data Eng. 38(7): 4542-4555 (2026) - [i21]Wei Huang, Hanchen Wang, Dong Wen, Xin Cao, Ying Zhang, Wenjie Zhang:
RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement Learning. CoRR abs/2601.12416 (2026) - [i18]Yuxin Jin, Siyuan Zhang, Hanchen Wang, Lu Qin, Ying Zhang, Wenjie Zhang:
EXG: Self-Evolving Agents with Experience Graphs. CoRR abs/2605.17721 (2026) - [i16]Qiuyu Guo, Jianye Yang, Wenjie Zhang, Hanchen Wang, Ying Zhang, Xuemin Lin:
Algebraic Subgraph Counting. CoRR abs/2606.29128 (2026) - 2025
- [j17]Min Pei, Jianke Yu, Chen Chen, Hanchen Wang, Xiaoyang Wang, Ying Zhang:
IGFM: An Enhanced Graph Similarity Computation Method with Fine-Grained Analysis. Data Sci. Eng. 10(3): 396-410 (2025) - [j16]Min Pei, Jianke Yu, Chen Chen, Hanchen Wang, Xiaoyang Wang, Ying Zhang:
Correction to: IGFM: An Enhanced Graph Similarity Computation Method with Fine‑Grained Analysis. Data Sci. Eng. 10(3): 532 (2025) - [j15]Qiuyu Guo, Jianye Yang, Wenjie Zhang, Hanchen Wang, Ying Zhang, Xuemin Lin:
Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning based Approach. Proc. VLDB Endow. 18(8): 2695-2708 (2025) - [j14]Hanchen Wang, Ying Zhang, Wenjie Zhang:
Machine Learning for Graph Data Management and Query Processing. Proc. VLDB Endow. 18(12): 5499-5503 (2025) - [j13]Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang, Bailin Yang:
Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms. IEEE Trans. Knowl. Data Eng. 37(2): 951-965 (2025) - [j12]Jianke Yu, Hanchen Wang, Chen Chen, Xiaoyang Wang, Lu Qin, Wenjie Zhang, Ying Zhang, Xijuan Liu:
RIDA: a robust attack framework on incomplete graphs. World Wide Web (WWW) 28(4): 38 (2025) - [c17]Peilun Yang, Hanchen Wang, Zhangyi Xu, Zhengping Qian, Yongheng Wang, Ying Zhang:
Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks. ICDE 2025: 3356-3368 - [c16]Hanchen Wang, Dawei Cheng, Ying Zhang, Wenjie Zhang:
AIGC for Graphs: Current Techniques and Future Trends. ICDE 2025: 4504-4508 - [i15]Yuanyuan Xu, Hanchen Wang, Wenjie Zhang, Lexing Xie, Yin Chen, Flora Salim, Ying Zhang, Justin Gooding, Toby Walsh:
AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models. CoRR abs/2502.13626 (2025) - [i14]Wei Huang, Hanchen Wang, Dong Wen, Wenjie Zhang, Ying Zhang, Xuemin Lin:
DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching. CoRR abs/2503.18245 (2025) - [i12]Shaozhen Ma, Hanchen Wang, Dong Wen, Wenjie Zhang, Wei Huang, Ying Zhang:
WOCD: A Semi-Supervised Method for Overlapping Community Detection Using Weak Cliques. CoRR abs/2508.00927 (2025) - [i10]Han Chen, Hanchen Wang, Hongmei Chen, Ying Zhang, Lu Qin, Wenjie Zhang:
HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis. CoRR abs/2509.02113 (2025) - [i9]Guangxin Su, Hanchen Wang, Jianwei Wang, Wenjie Zhang, Ying Zhang, Jian Pei:
Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications. CoRR abs/2510.21131 (2025) - [i8]Yifan Zhu, Hanchen Wang, Wenjie Zhang, Alexander Zhou, Ying Zhang:
UniCom: Towards a Unified and Cohesiveness-aware Framework for Community Search and Detection. CoRR abs/2512.02460 (2025) - [i7]Runze Li, Hanchen Wang, Wenjie Zhang, Binghao Li, Yu Zhang, Xuemin Lin, Ying Zhang:
FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation. CoRR abs/2512.15116 (2025) - 2024
- [j11]Xulu Gong, Hanchen Wang, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Ying Zhang:
Influence maximization on hypergraphs via multi-hop influence estimation. Inf. Process. Manag. 61(2): 103683 (2024) - [j10]Guangxin Su, Hanchen Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin:
Simple and deep graph attention networks. Knowl. Based Syst. 293: 111649 (2024) - [j8]Han Chen, Hanchen Wang, Hongmei Chen, Ying Zhang, Wenjie Zhang, Xuemin Lin:
Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions. IEEE Trans. Knowl. Data Eng. 36(3): 1016-1029 (2024) - [j7]Peilun Yang, Hanchen Wang, Jianye Yang, Zhengping Qian, Ying Zhang, Xuemin Lin:
Deep Learning Approaches for Similarity Computation: A Survey. IEEE Trans. Knowl. Data Eng. 36(12): 7893-7912 (2024) - [c13]Zuocheng Ding, Yufan Chen, Hanchen Wang, Xiaoyang Wang, Wenjie Zhang, Ying Zhang:
TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data. ADC 2024: 71-84 - [c12]Hanchen Wang, Kai Wang, Wenjie Zhang, Ying Zhang:
Bipartite Graph Analytics: Current Techniques and Future Trends. ICDE 2024: 1-7 - [c10]Wei Huang, Hanchen Wang, Dong Wen, Xuefeng Chen, Wenjie Zhang, Ying Zhang:
GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs. ICDM 2024: 141-150 - [i5]Jianke Yu, Hanchen Wang, Chen Chen, Xiaoyang Wang, Wenjie Zhang, Ying Zhang:
RIDA: A Robust Attack Framework on Incomplete Graphs. CoRR abs/2407.18170 (2024) - [i4]Guangxin Su, Yifan Zhu, Wenjie Zhang, Hanchen Wang, Ying Zhang:
Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning. CoRR abs/2410.12096 (2024) - 2023
- [j5]Jianke Yu, Xianhang Zhang, Hanchen Wang, Xiaoyang Wang, Wenjie Zhang, Ying Zhang:
FPGN: follower prediction framework for infectious disease prevention. World Wide Web (WWW) 26(6): 3795-3814 (2023) - [c9]Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang:
Group-based Fraud Detection Network on e-Commerce Platforms. KDD 2023: 5463-5475 - 2022
- [c8]Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin:
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. ICDE 2022: 245-258 - [c7]Peilun Yang, Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Wenjie Zhang:
TMN: Trajectory Matching Networks for Predicting Similarity. ICDE 2022: 1700-1713 - [c6]Hanchen Wang, Rong Hu, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang:
Neural Subgraph Counting with Wasserstein Estimator. SIGMOD Conference 2022: 160-175 - [i3]Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin:
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. CoRR abs/2201.11251 (2022) - 2021
- [j2]Wanqi Liu, Hanchen Wang, Ying Zhang, Wei Wang, Lu Qin, Xuemin Lin:
EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search. VLDB J. 30(2): 215-235 (2021) - [j1]Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin:
Binarized graph neural network. World Wide Web 24(3): 825-848 (2021) - [c5]Peilun Yang, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin:
T3S: Effective Representation Learning for Trajectory Similarity Computation. ICDE 2021: 2183-2188 - 2020
- [c4]Wanqi Liu, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang:
I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space. DASFAA (3) 2020: 221-236 - [c3]Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin:
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. IJCAI 2020: 1317-1323 - [i2]Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin:
Binarized Graph Neural Network. CoRR abs/2004.11147 (2020) - [i1]Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin:
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. CoRR abs/2005.05537 (2020) - 2019
- [c1]Wanqi Liu, Hanchen Wang, Ying Zhang, Wei Wang, Lu Qin:
I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space. ICDE 2019: 1670-1673
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