← Authors

Wenbing Huang

67 papers · 2015–2025 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (91) 🌈 Renaissance Researcher (11) 🐝 Cross-Pollinator (4) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (10) 🌟 Keyword Trendsetter Combo (3) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) 🀝 Dynamic Duo (21) ⚑ Prolific Year (12) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (235) ❓ The Questioner πŸ’Ž Century Club (67) πŸ”₯ Unstoppable (11) πŸš€ Conference Pioneer

Conferences

NIPS (19) ICML (13) AAAI (9) ICLR (9) CVPR (8) ACL (2) EMNLP (2) ICCV (2) IJCAI (2) ECCV (1)

Top co-authors

Fuchun Sun (21) Yang Liu (17) Yu Rong (14) Junzhou Huang (14) Chuang Gan (11) Tingyang Xu (10) Rui Jiao (9) Xiangzhe Kong (8) Huaping Liu (8) Jiaqi Han (8)

Keywords

graph neural network (7) message passing (5) large language model (3) video understanding (3) generative model (3) graph convolutional network (3) neural network (3) reinforcement learning (3) protein structure (3) molecular dynamics (2) 3d object detection (2) unsupervised learning (2) generative adversarial network (2) imitation learning (2) equivariant graph neural network (2) point cloud (2) chain-of-thought reasoning (2) multimodal learning (2) domain adaptation (2) transfer learning (2)

Papers

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