Ying Wen

DGS: Dual Gradient and Semantic-Shift Guided Low-Rank Adaptation for Class Incremental Learning CVPR 2026 Model-Based Imaginative Planning for Embodied Agents ACL 2026 Offline Fictitious Self-Play for Competitive Games AAAI 2026 ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling ACL 2026 When Token Pruning is Worse than Random: Understanding Visual Token Information in VLLMs CVPR 2026 AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images AAAI 2025 AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit CoRL 2025 CoSMIC: Continual Self-supervised Learning for Multi-Domain Medical Imaging via Conditional Mutual Information Maximization ICCV 2025 Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration ACL 2025 M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection AAAI 2025 RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors AAAI 2025 Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning ACL 2025 Aligning Individual and Collective Objectives in Multi-Agent Cooperation NeurIPS 2024 AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training ICML 2024 Critic-Guided Decision Transformer for Offline Reinforcement Learning AAAI 2024 DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning ICML 2024 EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks AAAI 2024 IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration CVPR 2024 Reinforcing LLM Agents via Policy Optimization with Action Decomposition NeurIPS 2024 ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination NeurIPS 2024 Cooperative Open-ended Learning Framework for Zero-Shot Coordination ICML 2023 GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models ICML 2023 MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning JMLR 2023 Order Matters: Agent-by-agent Policy Optimization ICLR 2023 SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy CVPR 2023 Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech ACL 2022 Greedy when Sure and Conservative when Uncertain about the Opponents ICML 2022 Multi-Agent Reinforcement Learning is a Sequence Modeling Problem NeurIPS 2022 Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning ICLR 2022 Learning in Nonzero-Sum Stochastic Games with Potentials ICML 2021 Modelling Behavioural Diversity for Learning in Open-Ended Games ICML 2021 Neural Auto-Curricula in Two-Player Zero-Sum Games NeurIPS 2021 Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games NeurIPS 2021 Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning IJCAI 2020 Multi-Agent Determinantal Q-Learning ICML 2020 Segmenting Medical MRI via Recurrent Decoding Cell AAAI 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving CoRL 2020 A Regularized Opponent Model with Maximum Entropy Objective IJCAI 2019 Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning ICLR 2019