Hanchen Wang

According to our database, Hanchen Wang authored at least 49 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

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

IEEE Trans. Knowl. Data Eng., March, 2024

Neural Similarity Search on Supergraph Containment.

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

IEEE Trans. Knowl. Data Eng., January, 2024

Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography.

Luke Lozenski, Hanchen Wang, Fu Li, Mark A. Anastasio, Brendt Wohlberg, Youzuo Lin, Umberto Villa

IEEE Trans. Computational Imaging, 2024

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

Lincan Li, Hanchen Wang, Wenjie Zhang, Adelle Coster

CoRR, 2024

Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled.

Shengchao Liu, Chengpeng Wang, Jiarui Lu, Weili Nie, Hanchen Wang, Zhuoxinran Li, Bolei Zhou, Jian Tang

CoRR, 2024

A Physics-guided Generative AI Toolkit for Geophysical Monitoring.

Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin, Lei Yang

CoRR, 2024

2023

FPGN: follower prediction framework for infectious disease prevention.

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

World Wide Web (WWW), November, 2023

Bipartite graph capsule network.

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

World Wide Web (WWW), January, 2023

Solving Seismic Wave Equations on Variable Velocity Models With Fourier Neural Operator.

Bian Li, Hanchen Wang, Shihang Feng, Xiu Yang, Youzuo Lin

IEEE Trans. Geosci. Remote. Sens., 2023

Scientific discovery in the age of artificial intelligence.

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

Nat., 2023

Does Full Waveform Inversion Benefit from Big Data?

Peng Jin, Yinan Feng, Shihang Feng, Hanchen Wang, Yinpeng Chen, Benjamin Consolvo, Zicheng Liu, Youzuo Lin

CoRR, 2023

E^FWI: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.

Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin

CoRR, 2023

Evaluating Self-Supervised Learning for Molecular Graph Embeddings.

Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

E^FWI: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.

Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

An Empirical Study of Retrieval-Enhanced Graph Neural Networks.

Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Polarity-based graph neural network for sign prediction in signed bipartite graphs.

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

World Wide Web, 2022

Powerful graph of graphs neural network for structured entity analysis.

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

World Wide Web, 2022

Data-Driven Microseismic Event Localization: An Application to the Oklahoma Arkoma Basin Hydraulic Fracturing Data.

Hanchen Wang, Tariq Alkhalifah, Umair bin Waheed, Claire Birnie

IEEE Trans. Geosci. Remote. Sens., 2022

Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.

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

Nat. Mach. Intell., 2022

Degree aware based adversarial graph convolutional networks for entity alignment in heterogeneous knowledge graph.

Hanchen Wang, Yining Wang, Jianfeng Li, Tao Luo

Neurocomputing, 2022

Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator.

Bian Li, Hanchen Wang, Xiu Yang, Youzuo Lin

CoRR, 2022

Evaluating Self-Supervised Learning for Molecular Graph Embeddings.

Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Matt J. Kusner, Joan Lasenby, Qi Liu

CoRR, 2022

Augmenting Message Passing by Retrieving Similar Graphs.

Dingmin Wang, Shengchao Liu, Hanchen Wang, Linfeng Song, Jian Tang, Song Le, Bernardo Cuenca Grau, Qi Liu

CoRR, 2022

Robust Hand Gesture Recognition Based on RGB-D Data for Natural Human-Computer Interaction.

Jun Xu, Hanchen Wang, Jianrong Zhang, Linqin Cai

IEEE Access, 2022

Neural Subgraph Counting with Wasserstein Estimator.

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

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion.

Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pre-training Molecular Graph Representation with 3D Geometry.

Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang

Proceedings of the Tenth International Conference on Learning Representations, 2022

TMN: Trajectory Matching Networks for Predicting Similarity.

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

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching.

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

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Matching Point Sets with Quantum Circuit Learning.

Mohammadreza Noormandipour, Hanchen Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Designing Machine Learning Models for Graph Analytics

Hanchen Wang

PhD thesis, 2021

Binarized graph neural network.

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

World Wide Web, 2021

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

VLDB J., 2021

Neural random subspace.

Yun-Hao Cao, Jianxin Wu, Hanchen Wang, Joan Lasenby

Pattern Recognit., 2021

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.

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

Nat. Mach. Intell., 2021

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.

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

CoRR, 2021

MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning.

Tariq Alkhalifah, Hanchen Wang, Oleg Ovcharenko

CoRR, 2021

A Parameterised Quantum Circuit Approach to Point Set Matching.

Mohammadreza Noormandipour, Hanchen Wang

CoRR, 2021

Iterative Teaching by Label Synthesis.

Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Graph Semantics Based Neighboring Attentional Entity Alignment for Knowledge Graphs.

Hanchen Wang, Jianfeng Li, Tao Luo

Proceedings of the Intelligent Computing Theories and Application, 2021

T3S: Effective Representation Learning for Trajectory Similarity Computation.

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

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Unsupervised Point Cloud Pre-training via Occlusion Completion.

Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt J. Kusner

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Pre-Training by Completing Point Clouds.

Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matthew J. Kusner

CoRR, 2020

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

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

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

Proceedings of the Database Systems for Advanced Applications, 2020

2019

An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision.

Hanchen Wang, Nina Grgic-Hlaca, Preethi Lahoti, Krishna P. Gummadi, Adrian Weller

CoRR, 2019

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

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

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Skyline Nearest Neighbor Search on Multi-layer Graphs.

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

Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019