Yi Wu

Learning Knowledge from Textual Descriptions for 3D Human Pose Estimation AAAI 2026 Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation CVPR 2026 VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments CVPR 2026 BitNet: 1-bit Pre-training for Large Language Models JMLR 2025 Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features MICCAI 2025 ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge EMNLP 2025 Estimating 2D Camera Motion with Hybrid Motion Basis ICCV 2025 Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images MICCAI 2025 Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play JMLR 2025 Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization ICML 2025 Offline Reinforcement Learning for LLM Multi-step Reasoning ACL 2025 Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams CoRL 2025 Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning AAAI 2024 Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations ICML 2024 Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios ICLR 2024 Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm ECCV 2024 Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study ICML 2024 Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game ICML 2024 SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores ICLR 2024 Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets ICLR 2024 AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract) AAAI 2023 Automatic Truss Design with Reinforcement Learning IJCAI 2023 Domain Re-Modulation for Few-Shot Generative Domain Adaptation NeurIPS 2023 Iteratively Learn Diverse Strategies with State Distance Information NeurIPS 2023 KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach IJCAI 2023 KnowComp Submission for WMT23 Word-Level AutoCompletion Task EMNLP 2023 Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased ICLR 2023 Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination AAAI 2023 Single Image Super-resolution Based On Non-subsampled Shearlet Transform ACML 2023 SOAR: Scene-debiasing Open-set Action Recognition ICCV 2023 SpeedyZero: Mastering Atari with Limited Data and Time ICLR 2023 Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization ICLR 2022 Grounded Reinforcement Learning: Learning to Win the Game under Human Commands NeurIPS 2022 Learning Efficient Multi-agent Cooperative Visual Exploration ECCV 2022 Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning ICML 2022 PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation EMNLP 2022 Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning NeurIPS 2022 Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning ICML 2022 Sequence Level Contrastive Learning for Text Summarization AAAI 2022 The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games NeurIPS 2022 Uncertainty-Based Spatial-Temporal Attention for Online Action Detection ECCV 2022 BLCUFIGHT at SemEval-2021 Task 10: Novel Unsupervised Frameworks For Source-Free Domain Adaptation SemEval 2021 Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization ICLR 2021 NovelD: A Simple yet Effective Exploration Criterion NeurIPS 2021 Solving Compositional Reinforcement Learning Problems via Task Reduction ICLR 2021 Temporal Induced Self-Play for Stochastic Bayesian Games IJCAI 2021 Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems NeurIPS 2021 Emergent Tool Use From Multi-Agent Autocurricula ICLR 2020 Influence-Based Multi-Agent Exploration ICLR 2020 Multi-Task Reinforcement Learning with Soft Modularization NeurIPS 2020 SaccadeNet: A Fast and Accurate Object Detector CVPR 2020 Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers EMNLP 2020 Bayesian Relational Memory for Semantic Visual Navigation ICCV 2019 Deep Reinforcement Learning for Green Security Games with Real-Time Information AAAI 2019 Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient AAAI 2019 Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond NeurIPS 2019 Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms ICML 2018 Meta-Learning MCMC Proposals NeurIPS 2018 Adversarial Training for Relation Extraction EMNLP 2017 CoupleNet: Coupling Global Structure With Local Parts for Object Detection ICCV 2017 Egocentric Gesture Recognition Using Recurrent 3D Convolutional Neural Networks With Spatiotemporal Transformer Modules ICCV 2017 Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments NeurIPS 2017 Value Iteration Networks IJCAI 2017 Swift: Compiled Inference for Probabilistic Programming Languages IJCAI 2016 Value Iteration Networks NeurIPS 2016 Understanding and Evaluating Sparse Linear Discriminant Analysis AISTATS 2015 Multiple Non-rigid Surface Detection and Registration ICCV 2013 Online Object Tracking: A Benchmark CVPR 2013 Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012