Hanchen Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 56

Top Topics

Bipartite Graph

Nearest Neighbor Search

Similarity Computation

Top Venues

Publications

Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin, Lei Yang
A Physics-guided Generative AI Toolkit for Geophysical Monitoring. CoRR (2024)
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) (2024)
Luke Lozenski, Hanchen Wang, Fu Li, Mark A. Anastasio, Brendt Wohlberg, Youzuo Lin, Umberto Villa
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography. IEEE Trans. Computational Imaging 10 (2024)
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) (2024)
Xi Wu, Hanchen Wang, Shuxiao Li, Jian Dai, Zhenwen Ren
Prior Indicator Guided Anchor Learning for Multi-View Subspace Clustering. IEEE Trans. Consumer Electron. 70 (1) (2024)
Hanchen Wang, Kai Wang, Wenjie Zhang, Ying Zhang
Bipartite Graph Analytics: Current Techniques and Future Trends. ICDE (2024)
Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin
Neural Similarity Search on Supergraph Containment (Extended Abstract). ICDE (2024)
Shengchao Liu, Chengpeng Wang, Jiarui Lu, Weili Nie, Hanchen Wang, Zhuoxinran Li, Bolei Zhou, Jian Tang
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled. CoRR (2024)
Lincan Li, Hanchen Wang, Wenjie Zhang, Adelle Coster
STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model. CoRR (2024)
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) (2023)
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)
Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin
: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties. NeurIPS (2023)
Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin
: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties. CoRR (2023)
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
Scientific discovery in the age of artificial intelligence. Nat. 620 (7972) (2023)
Xianhang Zhang, Hanchen Wang, Jianke Yu, Chen Chen, Xiaoyang Wang, Wenjie Zhang
Bipartite graph capsule network. World Wide Web (WWW) 26 (1) (2023)
Peng Jin, Yinan Feng, Shihang Feng, Hanchen Wang, Yinpeng Chen, Benjamin Consolvo, Zicheng Liu, Youzuo Lin
Does Full Waveform Inversion Benefit from Big Data? CoRR (2023)
Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu
An Empirical Study of Retrieval-Enhanced Graph Neural Networks. ECAI (2023)
Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu
Evaluating Self-Supervised Learning for Molecular Graph Embeddings. NeurIPS (2023)
Bian Li, Hanchen Wang, Shihang Feng, Xiu Yang, Youzuo Lin
Solving Seismic Wave Equations on Variable Velocity Models With Fourier Neural Operator. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
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) (2022)
Hanchen Wang, Yining Wang, Jianfeng Li, Tao Luo
Degree aware based adversarial graph convolutional networks for entity alignment in heterogeneous knowledge graph. Neurocomputing 487 (2022)
Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 4 (4) (2022)
Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Matt J. Kusner, Joan Lasenby, Qi Liu
Evaluating Self-Supervised Learning for Molecular Graph Embeddings. CoRR (2022)
Mohammadreza Noormandipour, Hanchen Wang
Matching Point Sets with Quantum Circuit Learning. ICASSP (2022)
Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion. NeurIPS (2022)
Dingmin Wang, Shengchao Liu, Hanchen Wang, Linfeng Song, Jian Tang, Song Le, Bernardo Cuenca Grau, Qi Liu
Augmenting Message Passing by Retrieving Similar Graphs. CoRR (2022)
Jun Xu, Hanchen Wang, Jianrong Zhang, Linqin Cai
Robust Hand Gesture Recognition Based on RGB-D Data for Natural Human-Computer Interaction. IEEE Access 10 (2022)
Hanchen Wang, Tariq Alkhalifah, Umair bin Waheed, Claire Birnie
Data-Driven Microseismic Event Localization: An Application to the Oklahoma Arkoma Basin Hydraulic Fracturing Data. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Bian Li, Hanchen Wang, Xiu Yang, Youzuo Lin
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator. CoRR (2022)
Peilun Yang, Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Wenjie Zhang
TMN: Trajectory Matching Networks for Predicting Similarity. ICDE (2022)
Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
Pre-training Molecular Graph Representation with 3D Geometry. ICLR (2022)
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) (2022)
Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. CoRR (2022)
Hanchen Wang, Rong Hu, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang
Neural Subgraph Counting with Wasserstein Estimator. SIGMOD Conference (2022)
Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. ICDE (2022)
Hanchen Wang, Jianfeng Li, Tao Luo
Graph Semantics Based Neighboring Attentional Entity Alignment for Knowledge Graphs. ICIC (2) (2021)
Peilun Yang, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin
T3S: Effective Representation Learning for Trajectory Similarity Computation. ICDE (2021)
Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt J. Kusner
Unsupervised Point Cloud Pre-training via Occlusion Completion. ICCV (2021)
Yun-Hao Cao, Jianxin Wu, Hanchen Wang, Joan Lasenby
Neural random subspace. Pattern Recognit. 112 (2021)
Tariq Alkhalifah, Hanchen Wang, Oleg Ovcharenko
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning. CoRR (2021)
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) (2021)
Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin
Binarized graph neural network. World Wide Web 24 (3) (2021)
Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. CoRR (2021)
Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller
Iterative Teaching by Label Synthesis. NeurIPS (2021)
Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller
Iterative Teaching by Label Synthesis. CoRR (2021)
Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 3 (12) (2021)
Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
Pre-training Molecular Graph Representation with 3D Geometry. CoRR (2021)
Mohammadreza Noormandipour, Hanchen Wang
A Parameterised Quantum Circuit Approach to Point Set Matching. CoRR (2021)
Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matthew J. Kusner
Pre-Training by Completing Point Clouds. CoRR (2020)
Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. IJCAI (2020)
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)
Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. CoRR (2020)
Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin
Binarized Graph Neural Network. CoRR (2020)
Hanchen Wang, Nina Grgic-Hlaca, Preethi Lahoti, Krishna P. Gummadi, Adrian Weller
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision. CoRR (2019)
Wanqi Liu, Dong Wen, Hanchen Wang, Fan Zhang, Xubo Wang
Skyline Nearest Neighbor Search on Multi-layer Graphs. ICDE Workshops (2019)
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)