Wang, Yang
238 publications
NeurIPS
2025
Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution
ICML
2025
Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation
NeurIPS
2025
Deciphering the Extremes: A Novel Approach for Pathological Long-Tailed Recognition in Scientific Discovery
WACV
2025
DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning
ICLR
2025
Evaluating Large Language Models Through Role-Guide and Self-Reflection: A Comparative Study
NeurIPS
2025
GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling
NeurIPS
2025
Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation
ICLR
2025
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
TMLR
2025
LanPaint: Training-Free Diffusion Inpainting with Asymptotically Exact and Fast Conditional Sampling
NeurIPS
2025
Many Minds, One Goal: Time Series Forecasting via Sub-Task Specialization and Inter-Agent Cooperation
NeurIPS
2025
ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models
NeurIPS
2025
One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting
ICCV
2025
Plug-in Feedback Self-Adaptive Attention in CLIP for Training-Free Open-Vocabulary Segmentation
NeurIPS
2025
SwS: Self-Aware Weakness-Driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
NeurIPS
2025
SwitchLingua: The First Large-Scale Multilingual and Multi-Ethnic Code-Switching Dataset
IJCAI
2025
Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework
ICML
2025
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
ECCV
2024
A Cephalometric Landmark Regression Method Based on Dual-Encoder for High-Resolution X-Ray Image
AAAI
2024
A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks
ICML
2024
Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment
NeurIPS
2024
Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
AAAI
2024
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks
AAAI
2024
HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting
NeurIPS
2024
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-Tailed Problems
IJCAI
2024
MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction
AAAI
2024
NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching
ICML
2024
On the Convergence of Projected Bures-Wasserstein Gradient Descent Under Euclidean Strong Convexity
CVPR
2024
Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting
ICML
2024
Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-Tailed Learning
CVPR
2023
Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
ICCV
2023
Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning
ECCV
2022
S2N: Suppression-Strengthen Network for Event-Based Recognition Under Variant Illuminations
IJCAI
2018
Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies
IJCAI
2018
Real-Time Traffic Pattern Analysis and Inference with Sparse Video Surveillance Information
MLJ
2014
Water Pipe Condition Assessment: A Hierarchical Beta Process Approach for Sparse Incident Data