Ying Wen

15

Papers

64

Total Citations

Papers (15)

ReMA: Learning to Meta-Think for LLMs with Multi-agent Reinforcement Learning

NeurIPS 2025arXiv

ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning

NeurIPS 2025arXiv

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors

M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection

IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training

SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy

CoSMIC: Continual Self-supervised Learning for Multi-Domain Medical Imaging via Conditional Mutual Information Maximization

AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images

EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks

Critic-Guided Decision Transformer for Offline Reinforcement Learning

Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games

Neural Auto-Curricula in Two-Player Zero-Sum Games

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem