Yi Wu

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