Huang, Wenbing

64 publications

ICLR 2025 DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-Based 3D Molecular Pre-Training Yurou Liu, Jiahao Chen, Rui Jiao, Jiangmeng Li, Wenbing Huang, Bing Su

NeurIPS 2025 Geometric Mixture Models for Electrolyte Conductivity Prediction Anyi Li, Jiacheng Cen, Songyou Li, Mingze Li, Yang Yu, Wenbing Huang

AAAI 2025 HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-Task Learning Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen

ICML 2025 Large Language-Geometry Model: When LLM Meets Equivariance Zongzhao Li, Jiacheng Cen, Bing Su, Tingyang Xu, Yu Rong, Deli Zhao, Wenbing Huang

NeurIPS 2025 Latent Retrieval Augmented Generation of Cross-Domain Protein Binders Zishen Zhang, Xiangzhe Kong, Wenbing Huang, Yang Liu

NeurIPS 2025 Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields Xixian Liu, Rui Jiao, Zhiyuan Liu, Yurou Liu, Yang Liu, Ziheng Lu, Wenbing Huang, Yang Zhang, Yixin Cao

NeurIPS 2025 MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks Rui Jiao, Hanlin Wu, Wenbing Huang, Yuxuan Song, Yawen Ouyang, Yu Rong, Tingyang Xu, Pengju Wang, Hao Zhou, Wei-Ying Ma, Jingjing Liu, Yang Liu

ICLR 2025 Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries Zongzhao Li, Jiacheng Cen, Wenbing Huang, Taifeng Wang, Le Song

ICLR 2025 Think Then React: Towards Unconstrained Action-to-Reaction Motion Generation Wenhui Tan, Boyuan Li, Chuhao Jin, Wenbing Huang, Xiting Wang, Ruihua Song

ICML 2025 UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design Xiangzhe Kong, Zishen Zhang, Ziting Zhang, Rui Jiao, Jianzhu Ma, Wenbing Huang, Kai Liu, Yang Liu

ICML 2025 UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules Ziyang Yu, Wenbing Huang, Yang Liu

NeurIPS 2025 Universally Invariant Learning in Equivariant GNNs Jiacheng Cen, Anyi Li, Ning Lin, Tingyang Xu, Yu Rong, Deli Zhao, Zihe Wang, Wenbing Huang

ICML 2025 Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints Dapeng Jiang, Xiangzhe Kong, Jiaqi Han, Mingyu Li, Rui Jiao, Wenbing Huang, Stefano Ermon, Jianzhu Ma, Yang Liu

NeurIPS 2024 3D Structure Prediction of Atomic Systems with Flow-Based Direct Preference Optimization Rui Jiao, Xiangzhe Kong, Wenbing Huang, Yang Liu

NeurIPS 2024 Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? Jiacheng Cen, Anyi Li, Ning Lin, Yuxiang Ren, Zihe Wang, Wenbing Huang

ICML 2024 EquiPocket: An E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction Yang Zhang, Zhewei Wei, Ye Yuan, Chongxuan Li, Wenbing Huang

ICML 2024 Equivariant Diffusion for Crystal Structure Prediction Peijia Lin, Pin Chen, Rui Jiao, Qing Mo, Cen Jianhuan, Wenbing Huang, Yang Liu, Dan Huang, Yutong Lu

ICLRW 2024 Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules Rui Jiao, Xiangzhe Kong, Ziyang Yu, Wenbing Huang, Yang Liu

NeurIPS 2024 Full-Atom Peptide Design with Geometric Latent Diffusion Xiangzhe Kong, Yinjun Jia, Wenbing Huang, Yang Liu

ICML 2024 Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning Xiangzhe Kong, Wenbing Huang, Yang Liu

ICML 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

NeurIPS 2024 Learning Superconductivity from Ordered and Disordered Material Structures Pin Chen, Luoxuan Peng, Rui Jiao, Qing Mo, Zhen Wang, Wenbing Huang, Yang Liu, Yutong Lu

ICLR 2024 Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction Ziyang Yu, Wenbing Huang, Yang Liu

ICLR 2024 Space Group Constrained Crystal Generation Rui Jiao, Wenbing Huang, Yu Liu, Deli Zhao, Yang Liu

ICML 2024 Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments Runfa Chen, Ling Wang, Yu Du, Tianrui Xue, Fuchun Sun, Jianwei Zhang, Wenbing Huang

CVPR 2023 Compacting Binary Neural Networks by Sparse Kernel Selection Yikai Wang, Wenbing Huang, Yinpeng Dong, Fuchun Sun, Anbang Yao

ICLR 2023 Conditional Antibody Design as 3D Equivariant Graph Translation Xiangzhe Kong, Wenbing Huang, Yang Liu

NeurIPS 2023 Crystal Structure Prediction by Joint Equivariant Diffusion Rui Jiao, Wenbing Huang, Peijia Lin, Jiaqi Han, Pin Chen, Yutong Lu, Yang Liu

ICLRW 2023 Crystal Structure Prediction by Joint Equivariant Diffusion on Lattices and Fractional Coordinates Rui Jiao, Wenbing Huang, Peijia Lin, Jiaqi Han, Pin Chen, Yutong Lu, Yang Liu

ICML 2023 End-to-End Full-Atom Antibody Design Xiangzhe Kong, Wenbing Huang, Yang Liu

AAAI 2023 Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu

NeurIPS 2023 Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang

NeurIPSW 2023 Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning Xiangzhe Kong, Wenbing Huang, Yang Liu

TMLR 2023 Noise-Robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li, Junzhou Huang

ICML 2023 Subequivariant Graph Reinforcement Learning in 3D Environments Runfa Chen, Jiaqi Han, Fuchun Sun, Wenbing Huang

NeurIPS 2022 Benefits of Permutation-Equivariance in Auction Mechanisms Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao

CVPR 2022 Bridged Transformer for Vision and Point Cloud 3D Object Detection Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao

NeurIPS 2022 Equivariant Graph Hierarchy-Based Neural Networks Jiaqi Han, Wenbing Huang, Tingyang Xu, Yu Rong

NeurIPSW 2022 Equivariant Graph Hierarchy-Based Neural Networks Jiaqi Han, Yu Rong, Tingyang Xu, Wenbing Huang

ICLR 2022 Equivariant Graph Mechanics Networks with Constraints Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang

NeurIPS 2022 Learning Active Camera for Multi-Object Navigation Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, Thomas Li, Mingkui Tan, Chuang Gan

NeurIPS 2022 Learning Physical Dynamics with Subequivariant Graph Neural Networks Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Josh Tenenbaum, Chuang Gan

NeurIPS 2022 Molecule Generation by Principal Subgraph Mining and Assembling Xiangzhe Kong, Wenbing Huang, Zhixing Tan, Yang Liu

CVPR 2022 Multimodal Token Fusion for Vision Transformers Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang

NeurIPS 2022 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

AAAI 2022 Sim2Real Object-Centric Keypoint Detection and Description Chengliang Zhong, Chao Yang, Fuchun Sun, Jinshan Qi, Xiaodong Mu, Huaping Liu, Wenbing Huang

ICLR 2022 Sound Adversarial Audio-Visual Navigation Yinfeng Yu, Wenbing Huang, Fuchun Sun, Changan Chen, Yikai Wang, Xiaohong Liu

NeurIPS 2022 When to Update Your Model: Constrained Model-Based Reinforcement Learning Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang

ICML 2021 Adversarial Option-Aware Hierarchical Imitation Learning Mingxuan Jing, Wenbing Huang, Fuchun Sun, Xiaojian Ma, Tao Kong, Chuang Gan, Lei Li

AAAI 2020 A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang

NeurIPS 2020 Deep Multimodal Fusion by Channel Exchanging Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang

ICLR 2020 DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang

AAAI 2020 Reinforcement Learning from Imperfect Demonstrations Under Soft Expert Guidance Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, Huaping Liu

AAAI 2020 Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang

NeurIPS 2020 Self-Supervised Graph Transformer on Large-Scale Molecular Data Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang

AAAI 2019 Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan

AAAI 2019 Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong

NeurIPS 2019 Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang, Chuang Gan

ICML 2019 Neural Collaborative Subspace Clustering Tong Zhang, Pan Ji, Mehrtash Harandi, Wenbing Huang, Hongdong Li

NeurIPS 2018 Adaptive Sampling Towards Fast Graph Representation Learning Wenbing Huang, Tong Zhang, Yu Rong, Junzhou Huang

ECCV 2018 Deep Feature Pyramid Reconfiguration for Object Detection Tao Kong, Fuchun Sun, Chuanqi Tan, Huaping Liu, Wenbing Huang

NeurIPS 2018 Weakly Supervised Dense Event Captioning in Videos Xuguang Duan, Wenbing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu, Junzhou Huang

NeurIPS 2017 Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding Wenbing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun, Junzhou Huang

CVPR 2016 Sparse Coding and Dictionary Learning with Linear Dynamical Systems Wenbing Huang, Fuchun Sun, Lele Cao, Deli Zhao, Huaping Liu, Mehrtash Harandi