Education

  • 2012.09 – 2017.07 PhD in Computer Science and Technology, Tsinghua University, Supervised by Prof. Fuchun Sun.
  • 2016.03 – 2017.03 Visiting PhD in Australian National University, Jointly Supervised by Prof. Mehrtash Harandi.
  • 2008.09 – 2012.07 BE in Mathematics and Applied Mathematics, Beihang University.

Work Experience

  • 2023.07 – Now Associate Professor, Renmin University of China
  • 2022.09 – 2023.07 Assistant Professor, Renmin University of China
  • 2019.10 – 2022.09 Postdoc, Assistant Researcher at Tsinghua University
  • 2017.07 – 2019.09 Senior Researcher at Tencent AI Lab

RESEARCH INTERESTS

"There is no royal road to geometry.'' --- Euclid

The Geometric Learning And Discovery (GLAD) group is mainly interested in the following directions:

1. Geometric Deep Learning (GDL): Model images, videos, spatio-temporal data, social networks, and scientific data as geometric objects with certain symmetry, such as sets, manifolds, graphs, etc, and then developing specific machine learning models to represent and process these data. Particularly for graph data processing via GNNs, we research the expressivity of GNNs, how to train GNNs efficiently, how to perform self-supervised GNN learning.

2. GDL for Robot Sensing and Decision-Making: Towards tactile data representation, video analysis, sound signal processing, multi-modal data sensing and fusion; model-based reinforcement learning, imitation learning with imperfect supervision.

3. Science-Informed GDL: Embed the knowledge from Geometry, Quantum Mechanics, Computational Chemistry, Computational Biology, and other science domains into existing GML models, with the application to multi-body problem, molecular dynamics simulation, drug design, protein docking, antibody design, crystal material design, and so on.

PUBLICATIONS

2024
Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning
Yuelin Zhang, Jiacheng Cen, Jiaqi Han, Zhiqiang Zhang, Jun Zhou, Wenbing Huang
International Conference on Machine Learning (ICML)

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning
Xiangzhe Kong, Wenbing Huang, Yang Liu
International Conference on Machine Learning (ICML)

Equivariant Diffusion for Crystal Structure Prediction
Peijia Lin, Pin Chen, Rui Jiao, Qing Mo, Cen Jianhuan, Wenbing Huang, Yang Liu, Dan Huang, Yutong Lu
International Conference on Machine Learning (ICML)

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
Yang zhang, Zhewei Wei, Ye Yuan, Chongxuan Li, Wenbing Huang
International Conference on Machine Learning (ICML)

Subequivariant Reinforcement Learning in 3D Multi-Object Physical Environments
Runfa Chen, Ling Wang, Yu Du, Fuchun Sun, Tianrui Xue, Jianwei Zhang, Wenbing Huang
International Conference on Machine Learning (ICML)

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang
The Web Conference (WWW)

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
Ziyang Yu, Wenbing Huang, Yang Liu
The International Conference on Learning Representations (ICLR)

Space Group Constrained Crystal Generation
Rui Jiao, Wenbing Huang, Yu Liu, Deli Zhao, Yang Liu
The International Conference on Learning Representations (ICLR)

2023
MPerformer: An SE(3) Transformer-based Molecular Perceptron
Fanmeng Wang, Hongteng Xu, Xi Chen, Shuqi Lu, Yuqing Deng, Wenbing Huang
ACM International Conference on Information and Knowledge Management (CIKM)

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang
Annual Conference on Neural Information Processing Systems (NeurIPS)

Crystal Structure Prediction by Joint Equivariant Diffusion
Rui Jiao, Wenbing Huang, Peijia Lin, Jiaqi Han, Pin Chen, Yutong Lu, Yang Liu
Annual Conference on Neural Information Processing Systems (NeurIPS)

Structure-Aware DropEdge Towards Deep Graph Convolutional Networks
Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

End-to-End Full-Atom Antibody Design
Xiangzhe Kong, Wenbing Huang, Yang Liu
International Conference on Machine Learning (ICML)

Subequivariant Graph Reinforcement Learning in 3D Environments
Runfa Chen, Jiaqi Han, Fuchun Sun, Wenbing Huang
International Conference on Machine Learning (ICML), Oral

Compacting Binary Neural Networks by Sparse Kernel Selection
Yikai Wang, Wenbing Huang, Yinpeng Dong, Fuchun Sun, Anbang Yao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Conditional Antibody Design as 3D Equivariant Graph Translation
Xiangzhe Kong, Wenbing Huang, Yang Liu
The International Conference on Learning Representations (ICLR) , Outstanding Paper Honorable Mention

Planning Assembly Sequence with Graph Transformer
Lin Ma, Jiangtao Gong, Hao Xu, Hao CHEN, Hao Zhao, Wenbing Huang, Guyue Zhou
IEEE International Conference on Robotics and Automation (ICRA)

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs
Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu
AAAI Conference on Artificial Intelligence (AAAI)

2022
Geometrically Equivariant Graph Neural Networks: A Survey
Jiaqi Han, Yu Rong, Tingyang Xu, Wenbing Huang
arXiv

Learning Physical Dynamics with Subequivariant Graph Neural Networks
Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Joshua B. Tenenbaum, Chuang Gan
Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight

Equivariant Graph Hierarchy-based Neural Networks
Jiaqi Han, Wenbing Huang, Tingyang Xu, Yu Rong
Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight

Molecule Generation by Principal Subgraph Mining and Assembling
Xiangzhe Kong, Wenbing Huang, Zhixing Tan, Yang Liu
Annual Conference on Neural Information Processing Systems (NeurIPS), Oral

When to Update Your Model: Constrained Model-based Reinforcement Learning
Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang
Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight

SNAKE: Shape-aware Neural 3D Keypoint Field
Chengliang Zhong, Peixing You, Xiaoxue Chen, Hao Zhao, Fuchun Sun, Guyue Zhou, Xiaodong Mu, Chuang Gan, Wenbing Huang
Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight

Benefits of Permutation-Equivariance in Auction Mechanisms
Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao
Annual Conference on Neural Information Processing Systems (NeurIPS)

Learning Active Camera for Multi-Object Navigation
Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, Thomas H. Li, Mingkui Tan, Chuang Gan
Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight

Equivariant Graph Mechanics Networks with Constraints
Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, and Junzhou Huang
The International Conference on Learning Representations (ICLR)

Sound Adversarial Audio-Visual Navigation
Yinfeng Yu, Wenbing Huang, Fuchun Sun, Changan Chen, Yikai Wang, and Xiaohong Liu
The International Conference on Learning Representations (ICLR)

Learning Representations by Graphical Mutual Information Estimation and Maximization
Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, and Junzhou Huang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Bridged Transformer for Vision and Point Cloud 3D Object Detection
Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, and Dacheng Tao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Token Fusion for Vision Transformers
Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, and Yunhe Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, and Wenwu Zhu
IEEE Transactions on Knowledge and Data Engineering (TKDE)

Cross-Dependent Graph Neural Networks for Molecular Property Prediction
Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, and Junzhou Huang
Bioinformatics

2021
Adversarial Option-Aware Hierarchical Imitation Learning
Mingxuan Jing, Wenbing Huang, Fuchun Sun, Xiaojian Ma, Tao Kong, Chuang Gan, and Lei Li
International Conference on Machine Learning (ICML)

Elastic Tactile Simulation Towards Tactile-Visual Perception
Yikai Wang, Wenbing Huang, Fuchun Sun, Bin Fang, and Chang Li
ACM International Conference on Multimedia (ACMMM)

Knowledge Representation Learning with Contrastive Completion Coding
Bo Ouyang, Wenbing Huang, Runfa Chen, Zhixing Tan, Yang Liu, Maosong Sun, and Jihong Zhu
The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) (Findings)

Graph Convolutional Module for Temporal Action Localization in Videos
Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

2020
Tackling Over-Smoothing for General Graph Convolutional Networks
Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
arXiv

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong, Wenbing Huang, Tingyang Xu, and Junzhou Huang
The International Conference on Learning Representations (ICLR)

Self-Supervised Graph Transformer on Large-Scale Molecular Data
Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, and Junzhou Huang
Annual Conference on Neural Information Processing Systems (NeurIPS)

Deep Multimodal Fusion by Channel Exchanging
Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, and Junzhou Huang
Annual Conference on Neural Information Processing Systems (NeurIPS)

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, and Bin Fang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Dense Regression Network for Video Grounding
Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, and Chuang Gan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance
Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, and Huaping Liu
AAAI Conference on Artificial Intelligence (AAAI), Spotlight

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, and Junzhou Huang
AAAI Conference on Artificial Intelligence (AAAI)

The General Black-box Attack Method for Graph Neural Networks
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, and Junzhou Huang
AAAI Conference on Artificial Intelligence (AAAI)

Graph Representation Learning via Graphical Mutual Information Maximization
Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, and Junzhou Huang
The Web Conference (WWW)

2019
Toward efficient action recognition: Principal backpropagation for training two-stream networks
Wenbing Huang, Lijie Fan, Mehrtash Harandi, Lin Ma, Huaping Liu, Wei Liu, and Chuang Gan
IEEE Transactions on Image Processing (TIP)

Imitation learning from observations by minimizing inverse dynamics disagreement
Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang, and Chuang Gan
Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight

Neural collaborative subspace clustering
Tong Zhang, Pan Ji, Mehrtash Harandi, Wenbing Huang, and Hongdong Li
International Conference on Machine Learning (ICML)

Graph convolutional networks for temporal action localization
Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, and Chuang Gan
International Conference on Computer Vision (ICCV)

A fast and accurate one-stage approach to visual grounding
Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, and Jiebo Luo
International Conference on Computer Vision (ICCV), Oral

Controllable image-to-video translation: A case study on facial expression generation
Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, and Boqing Gong
AAAI Conference on Artificial Intelligence (AAAI), Oral

Task transfer by preference-based cost learning
Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, and Huaping Liu
AAAI Conference on Artificial Intelligence (AAAI)

Beyond rnns: Positional self-attention with co-attention for video question answering
Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, and Chuang Gan
AAAI Conference on Artificial Intelligence (AAAI)

Semi-supervised graph classification: A hierarchical graph perspective
Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wenbing Huang, and Junzhou Huang
The Web Conference (WWW)

2018
Adaptive sampling towards fast graph representation learning
Wenbing Huang, Tong Zhang, Yu Rong, and Junzhou Huang
Annual Conference on Neural Information Processing Systems (NeurIPS)

Weakly supervised dense event captioning in videos
Xuguang Duan, Wenbing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu, and Junzhou Huang
Annual Conference on Neural Information Processing Systems (NeurIPS)

End-to-end learning of motion representation for video understanding
Lijie Fan, Wenbing Huang, Chuang Gan, Stefano Ermon, and Boqing Gong
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Spotlight

LDS-FCM: A linear dynamical system based fuzzy C-means method for tactile recognition
Chunfang Liu, Wenbing Huang, Fuchun Sun, Minnan Luo, and Chuanqi Tan
IEEE Transactions on Fuzzy Systems

2017
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Dictionary Learning
Wenbing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun, and Junzhou Huang
Annual Conference on Neural Information Processing Systems (NeurIPS)

2016
Sparse Coding and Dictionary Learning with Linear Dynamical Systems
Wenbing Huang, Fuchun Sun, Lele Cao, Deli zhao, Huaping Liu, and Mehrtash Harandi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral

Learning Stable Linear Dynamical Systems using the Weighted Least Square Method
Wenbing Huang, Lele Cao, Fuchun Sun, Deli zhao, Huaping Liu, and Shanshan Yu
International Joint Conference on Artificial Intelligence (IJCAI)

2015
Scalable Gaussian Process Regression using Deep Neural Networks
Wenbing Huang, Deli Zhao, Fuchun Sun, Huaping Liu, and Edward Chang
International Joint Conference on Artificial Intelligence (IJCAI)

Honors and Awards

  • 2023 Tencent Rhino Bird Research Excellence Award
  • 2023 Beijing Nova Program
  • 2023 ICLR Outstanding Paper Honorable Mention
  • 2022 NeurIPS Open Catalyst Challenge Champion
  • 2021 Tencent Rhino Bird Research Excellence Award
  • 2021 NeurIPS Outstanding Reviewer Award (Top 8%)
  • 2021 AAAI Top SPC award (Top 25%)
  • 2020 The third place of IROS Challenge OCRTOC
  • 2020 MSRA STAR Track
  • 2020 Tencent Rhino Bird Researcher
  • 2019 Tsinghua Shuimu Scholar
  • 2019 Tencent Excellent Operation Award

Services

  • Area Chair: NeurIPS 2024
  • SPC Member: AAAI 2021-2022, IJCAI 2021
  • Reviewer for IEEE TPAMI, IEEE TIP, IEEE TMM, IEEE TNNLS, IEEE TKDE
  • Member of CCF, CAAI and CAA

Contact

Tel:

Email:hwenbing@126.com

Website:

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