Haifeng Zhang

21 papers · 2018–2026 · 7 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (11)

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🏃 Academic Marathon (7) 🤝 Dynamic Duo (11) 🏆 Grand Slam 🧬 Topic Evolution 📈 Trend Setter ⚡ Prolific Year (5) 💎 Century Club (18) 🗃️ Keyword Collector (112) 🔥 Unstoppable (6)

Conferences

AAAI (6) IJCAI (5) NIPS (5) ICML (2) ACL (1) CVPR (1) ICLR (1)

Top co-authors

Jun Wang (13) Xue Yan (5) Yali Du (4) Yaodong Yang (3) Guoqing Liu (2) Bo Liu (2) Qirui Mi (2) Yiyuan Yang (2) Yan Song (2) Ning Yang (2)

Research topics

Education (1)

Keywords

game theory (4) multi-agent system (4) multi-agent reinforcement learning (3) large language model (3) reinforcement learning (3) policy gradient (2) transfer learning (2) pipeline safety (2) generative model (2) deep learning (2) signal processing (2) feature learning (1) cognitive modeling (1) game design (1) benchmark evaluation (1) anomaly detection (1) zero-shot learning (1) weakly supervised learning (1) policy optimization (1) attention mechanism (1)

Papers

Proactive Constrained Policy Optimization with Preemptive Penalty AAAI 2026 Dual Activation-Weight Sparsity: A Training-Free Framework for Efficient Large Language Model Compression ACL 2026 Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-Making AAAI 2026 Efficient Reinforcement Learning with Large Language Model Priors ICLR 2025 Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network CVPR 2025 Large Language Models Play StarCraft II:Benchmarks and A Chain of Summarization Approach NIPS 2024 Token-level Direct Preference Optimization ICML 2024 AI-Based Energy Transportation Safety: Pipeline Radial Threat Estimation Using Intelligent Sensing System AAAI 2024 Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf NIPS 2024 AI-Olympics: Exploring the Generalization of Agents through Open Competitions IJCAI 2024 An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination NIPS 2023 Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach IJCAI 2022 A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning NIPS 2022 Learning to Identify Top Elo Ratings: A Dueling Bandits Approach AAAI 2022 Early Safety Warnings for Long-Distance Pipelines: A Distributed Optical Fiber Sensor Machine Learning Approach AAAI 2021 Settling the Variance of Multi-Agent Policy Gradients NIPS 2021 Estimating $α$-Rank from A Few Entries with Low Rank Matrix Completion ICML 2021 Bi-Level Actor-Critic for Multi-Agent Coordination AAAI 2020 Weakly Supervised Local-Global Relation Network for Facial Expression Recognition IJCAI 2020 Improving Knowledge Tracing via Pre-training Question Embeddings IJCAI 2020 Learning to Design Games: Strategic Environments in Reinforcement Learning IJCAI 2018