← Authors

Yi Wu

69 papers · 2012–2026 · 17 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (17) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (7) πŸ‘‘ Triple Crown πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (12) πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion πŸ’Ž Century Club (68) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (11) πŸ—ƒοΈ Keyword Collector (223) ❓ The Questioner ⚑ Prolific Year (10) πŸš€ Conference Pioneer

Conferences

NIPS (13) ICLR (10) AAAI (7) ICML (7) ICCV (6) EMNLP (5) IJCAI (5) ECCV (3) CVPR (2) JMLR (2) MICCAI (2) ACL (2) CORL (1) AISTATS (1) ACML (1) IJCNLP (1) SEMEVAL (1)

Top co-authors

Chao Yu (12) Yu Wang (9) Jiaxuan Gao (6) Huazhe Xu (6) Fei Fang (6) Stuart Russell (6) Wei Fu (5) Zelai Xu (5) Xiaolong Wang (4) Shusheng Xu (4)

Keywords

multi-agent reinforcement learning (7) reinforcement learning (6) unsupervised learning (4) deep reinforcement learning (4) sparse reward (3) deep learning (3) text classification (3) neural network (3) sequence labeling (3) policy gradient (3) convolutional neural network (3) large language model (3) zero-shot learning (3) source-free domain adaptation (3) knowledge distillation (2) curriculum learning (2) unsupervised domain adaptation (2) few-shot learning (2) domain generalization (2) variational inference (2)

Papers

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