Wenbing Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
55
Venues
14
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
55 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | KDD | AbFlow: End-to-end Paratope-Centric Antibody Design by Interaction Enhanced Flow Matching. | Wenda Wang, Yang Zhang, Zhewei Wei, Wenbing Huang |
| 2025 | AAAI | 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 |
| 2025 | ACL | Towards Effective and Efficient Continual Pre-training of Large Language Models. | Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen |
| 2025 | ACL | StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7, 000+ Real-World APIs. | Zhicheng Guo, Sijie Cheng, Yuchen Niu, Hao Wang, Sicheng Zhou, Wenbing Huang, Yang Liu |
| 2025 | EMNLP | ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning. | Yu Sun, Xingyu Qian, Weiwen Xu, Hao Zhang, Chenghao Xiao, Long Li, Deli Zhao, Wenbing Huang, Tingyang Xu, Qifeng Bai, Yu Rong |
| 2025 | ICASSP | Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer. | Boyuan Li, Xihua Wang, Ruihua Song, Wenbing Huang |
| 2025 | ICLR | Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries. | Zongzhao Li, Jiacheng Cen, Wenbing Huang, Taifeng Wang, Le Song |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Think Then React: Towards Unconstrained Action-to-Reaction Motion Generation. | Wenhui Tan, Boyuan Li, Chuhao Jin, Wenbing Huang, Xiting Wang, Ruihua Song |
| 2025 | ICML | UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules. | Ziyang Yu, Wenbing Huang, Yang Liu |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | Large Language-Geometry Model: When LLM meets Equivariance. | Zongzhao Li, Jiacheng Cen, Bing Su, Tingyang Xu, Yu Rong, Deli Zhao, Wenbing Huang |
| 2025 | KDD | Annotation-guided Protein Design with Multi-Level Domain Alignment. | Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong |
| 2024 | DASFAA | HierAffinity: Predicting Protein-Ligand Binding Affinity With Hierarchical Modeling. | Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li |
| 2024 | DASFAA | TransPocket: Structural and Geometric Transformer for Ligand Binding Site Detection. | Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li |
| 2024 | ICLR | Space Group Constrained Crystal Generation. | Rui Jiao, Wenbing Huang, Yu Liu, Deli Zhao, Yang Liu |
| 2024 | ICLR | Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction. | Ziyang Yu, Wenbing Huang, Yang Liu |
| 2024 | 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 |
| 2024 | ICML | Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments. | Runfa Chen, Ling Wang, Yu Du, Tianrui Xue, Fuchun Sun, Jianwei Zhang, Wenbing Huang |
| 2024 | ICML | Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning. | Xiangzhe Kong, Wenbing Huang, Yang Liu |
| 2024 | ICML | Equivariant Diffusion for Crystal Structure Prediction. | Peijia Lin, Pin Chen, Rui Jiao, Qing Mo, Jianhuan Cen, Wenbing Huang, Yang Liu, Dan Huang, Yutong Lu |
| 2024 | ICML | 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 |
| 2024 | WWW | 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 |
| 2023 | AAAI | Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs. | Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu |
| 2023 | CIKM | MPerformer: An SE(3) Transformer-based Molecular Perceptron. | Fanmeng Wang, Hongteng Xu, Xi Chen, Shuqi Lu, Yuqing Deng, Wenbing Huang |
| 2023 | CVPR | Compacting Binary Neural Networks by Sparse Kernel Selection. | Yikai Wang, Wenbing Huang, Yinpeng Dong, Fuchun Sun, Anbang Yao |
| 2023 | ICLR | Conditional Antibody Design as 3D Equivariant Graph Translation. | Xiangzhe Kong, Wenbing Huang, Yang Liu |
| 2023 | ICML | Subequivariant Graph Reinforcement Learning in 3D Environments. | Runfa Chen, Jiaqi Han, Fuchun Sun, Wenbing Huang |
| 2023 | ICML | End-to-End Full-Atom Antibody Design. | Xiangzhe Kong, Wenbing Huang, Yang Liu |
| 2023 | ICRA | Planning Assembly Sequence with Graph Transformer. | Lin Ma, Jiangtao Gong, Hao Xu, Hao Chen, Hao Zhao, Wenbing Huang, Guyue Zhou |
| 2022 | AAAI | Sim2Real Object-Centric Keypoint Detection and Description. | Chengliang Zhong, Chao Yang, Fuchun Sun, Jinshan Qi, Xiaodong Mu, Huaping Liu, Wenbing Huang |
| 2022 | CVPR | Multimodal Token Fusion for Vision Transformers. | Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang |
| 2022 | CVPR | Bridged Transformer for Vision and Point Cloud 3D Object Detection. | Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao |
| 2022 | ICLR | Equivariant Graph Mechanics Networks with Constraints. | Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang |
| 2022 | ICLR | Sound Adversarial Audio-Visual Navigation. | Yinfeng Yu, Wenbing Huang, Fuchun Sun, Changan Chen, Yikai Wang, Xiaohong Liu |
| 2021 | CIKM | Spectral Graph Attention Network with Fast Eigen-approximation. | Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu |
| 2021 | EMNLP | Knowledge Representation Learning with Contrastive Completion Coding. | Bo Ouyang, Wenbing Huang, Runfa Chen, Zhixing Tan, Yang Liu, Maosong Sun, Jihong Zhu |
| 2021 | ICML | Adversarial Option-Aware Hierarchical Imitation Learning. | Mingxuan Jing, Wenbing Huang, Fuchun Sun, Xiaojian Ma, Tao Kong, Chuang Gan, Lei Li |
| 2021 | WISE | Graph Ordering: Towards the Optimal by Learning. | Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Wenbing Huang, Junzhou Huang, Hao Zhang |
| 2020 | AAAI | 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 |
| 2020 | AAAI | 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 |
| 2020 | AAAI | Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance. | Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, Huaping Liu |
| 2020 | CIKM | Graph Unfolding Networks. | Hao Chen, Wenbing Huang, Yue Xu, Fuchun Sun, Zhoujun Li |
| 2020 | CIKM | Label-Aware Graph Convolutional Networks. | Hao Chen, Yue Xu, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He, Zhoujun Li |
| 2020 | CVPR | Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation. | Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang |
| 2020 | CVPR | Dense Regression Network for Video Grounding. | Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan |
| 2020 | ICLR | DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. | Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang |
| 2020 | KDD | Deep Graph Learning: Foundations, Advances and Applications. | Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma |
| 2020 | WWW | Graph Representation Learning via Graphical Mutual Information Maximization. | Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang |
| 2019 | AAAI | Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. | Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong |
| 2019 | 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, Chuang Gan |
| 2019 | CVPR | Progressive Feature Alignment for Unsupervised Domain Adaptation. | Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang |
| 2019 | ICCV | A Fast and Accurate One-Stage Approach to Visual Grounding. | Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, Jiebo Luo |
| 2019 | ICCV | Graph Convolutional Networks for Temporal Action Localization. | Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang |