Wenbing Huang

StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7,000+ Real-World APIs ACL 2025 Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries ICLR 2025 Think Then React: Towards Unconstrained Action-to-Reaction Motion Generation ICLR 2025 UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design ICML 2025 ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning EMNLP 2025 Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints ICML 2025 UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules ICML 2025 DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training ICLR 2025 Large Language-Geometry Model: When LLM meets Equivariance ICML 2025 HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning AAAI 2025 Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025 EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction ICML 2024 3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization NIPS 2024 Equivariant Diffusion for Crystal Structure Prediction ICML 2024 Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning ICML 2024 Space Group Constrained Crystal Generation ICLR 2024 Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction ICLR 2024 Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning ICML 2024 Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments ICML 2024 Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? NIPS 2024 Full-Atom Peptide Design with Geometric Latent Diffusion NIPS 2024 Learning Superconductivity from Ordered and Disordered Material Structures NIPS 2024 Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs AAAI 2023 Crystal Structure Prediction by Joint Equivariant Diffusion NIPS 2023 Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics NIPS 2023 Conditional Antibody Design as 3D Equivariant Graph Translation ICLR 2023 End-to-End Full-Atom Antibody Design ICML 2023 Subequivariant Graph Reinforcement Learning in 3D Environments ICML 2023 Compacting Binary Neural Networks by Sparse Kernel Selection CVPR 2023 Equivariant Graph Hierarchy-Based Neural Networks NIPS 2022 Molecule Generation by Principal Subgraph Mining and Assembling NIPS 2022 SNAKE: Shape-aware Neural 3D Keypoint Field NIPS 2022 Benefits of Permutation-Equivariance in Auction Mechanisms NIPS 2022 When to Update Your Model: Constrained Model-based Reinforcement Learning NIPS 2022 Learning Physical Dynamics with Subequivariant Graph Neural Networks NIPS 2022 Learning Active Camera for Multi-Object Navigation NIPS 2022 Sim2Real Object-Centric Keypoint Detection and Description AAAI 2022 Multimodal Token Fusion for Vision Transformers CVPR 2022 Bridged Transformer for Vision and Point Cloud 3D Object Detection CVPR 2022 Sound Adversarial Audio-Visual Navigation ICLR 2022 Equivariant Graph Mechanics Networks with Constraints ICLR 2022 Adversarial Option-Aware Hierarchical Imitation Learning ICML 2021 Knowledge Representation Learning with Contrastive Completion Coding EMNLP 2021 Deep Multimodal Fusion by Channel Exchanging NIPS 2020 Dense Regression Network for Video Grounding CVPR 2020 Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation CVPR 2020 DropEdge: Towards Deep Graph Convolutional Networks on Node Classification ICLR 2020 Self-Supervised Graph Transformer on Large-Scale Molecular Data NIPS 2020 Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020 Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks AAAI 2020 A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models AAAI 2020 A Fast and Accurate One-Stage Approach to Visual Grounding ICCV 2019 Graph Convolutional Networks for Temporal Action Localization ICCV 2019 Progressive Feature Alignment for Unsupervised Domain Adaptation CVPR 2019 Neural Collaborative Subspace Clustering ICML 2019 Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering AAAI 2019 Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation AAAI 2019 Task Transfer by Preference-Based Cost Learning AAAI 2019 Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement NIPS 2019 Weakly Supervised Dense Event Captioning in Videos NIPS 2018 Adaptive Sampling Towards Fast Graph Representation Learning NIPS 2018 End-to-End Learning of Motion Representation for Video Understanding CVPR 2018 Deep Feature Pyramid Reconfiguration for Object Detection ECCV 2018 Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding NIPS 2017 Sparse Coding and Dictionary Learning With Linear Dynamical Systems CVPR 2016 Learning Stable Linear Dynamical Systems with the Weighted Least Square Method IJCAI 2016 Scalable Gaussian Process Regression Using Deep Neural Networks IJCAI 2015