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ORCIDHanchen Wang 0001
Person information
- affiliation: University of Technology Sydney, Faculty of Engineering and Information Technology, School of Computer Science, NSW, Australia
- affiliation: Zhejiang Gongshang University, China
- affiliation (2021 - 2022): University of New South Wales, Sydney, NSW, Australia
- affiliation (PhD 2021): University of Technology Sydney, NSW, Australia
Other persons with the same name
- Hanchen Wang 0002
![[0000-0002-1691-024X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1691-024X")
— Stanford University, Department of Computer Science, Palo Alto, CA, USA (and 3 more) - Hanchen Wang 0003 — Los Alamos National Laboratory, NM, USA (and 1 more)
- Hanchen Wang 0004 — Beijing University of Posts and Telecommunications, Beijing Laboratory of Advanced Information Networks, China
- Hanchen Wang 0005 — Chongqing University of Posts and Telecommunications, School of Automation, China
- Hanchen Wang 0006 — Guangxi Key Laboratory of Digital Infrastructure, Nanning, China
- Hanchen Wang 0007 — University of Toyama, Toyama, Japan
- Hanchen Wang 0008 — University of North Carolina at Chapel Hill, NC, USA
- Hanchen Wang 0009 — Northwest A&F University, Xianyang, China
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2020 – today
- 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) - [c16]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 - [c15]Hanchen Wang, Dawei Cheng, Ying Zhang, Wenjie Zhang:
AIGC for Graphs: Current Techniques and Future Trends. ICDE 2025: 4504-4508 - [c14]Kaiyu Chen, Dong Wen, Hanchen Wang, Zhengyi Yang, Wenjie Zhang, Xuemin Lin:
Covering K-Cliques in Billion-Scale Graphs. WWW 2025: 2299-2308 - [i13]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) - [i12]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) - [i11]Wei Huang, Hanchen Wang, Dong Wen, Shaozhen Ma, Wenjie Zhang, Xuemin Lin:
Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN. CoRR abs/2506.01977 (2025) - [i10]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) - [i9]Zhuo Ma, Dong Wen, Hanchen Wang, Wentao Li, Wenjie Zhang, Xuemin Lin:
Accelerating K-Core Computation in Temporal Graphs. CoRR abs/2508.14147 (2025) - [i8]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) - [i7]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) - 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) - [j9]Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin:
Neural Similarity Search on Supergraph Containment. IEEE Trans. Knowl. Data Eng. 36(1): 281-295 (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 - [c11]Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin:
Neural Similarity Search on Supergraph Containment (Extended Abstract). ICDE 2024: 5709-5710 - [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 - [i6]Lincan Li, Hanchen Wang, Wenjie Zhang, Adelle Coster:
STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model. CoRR abs/2403.12418 (2024) - [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
- [j6]Xianhang Zhang, Hanchen Wang, Jianke Yu, Chen Chen, Xiaoyang Wang, Wenjie Zhang:
Bipartite graph capsule network. World Wide Web (WWW) 26(1): 421-440 (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
- [j4]Xianhang Zhang, Hanchen Wang, Jianke Yu, Chen Chen, Xiaoyang Wang, Wenjie Zhang:
Polarity-based graph neural network for sign prediction in signed bipartite graphs. World Wide Web 25(2): 471-487 (2022) - [j3]Hanchen Wang, Defu Lian, Wanqi Liu, Dong Wen, Chen Chen, Xiaoyang Wang:
Powerful graph of graphs neural network for structured entity analysis. World Wide Web 25(2): 609-629 (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
- [b1]Hanchen Wang:
Designing Machine Learning Models for Graph Analytics. University of Technology Sydney, Australia, 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)
2010 – 2019
- 2019
- [c2]Wanqi Liu, Dong Wen, Hanchen Wang, Fan Zhang, Xubo Wang:
Skyline Nearest Neighbor Search on Multi-layer Graphs. ICDE Workshops 2019: 259-265 - [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
Coauthor Index
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