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Haifeng Zhang

22 papers · 2018–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (59) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🀝 Dynamic Duo (13) πŸ† Grand Slam ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (7) πŸ—ƒοΈ Keyword Collector (128)

Venues

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

Top co-authors

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

Research topics

Artificial Intelligence (14) Core AI (13) Machine Learning (11) Reinforcement Learning (7) Learning Types Β· Machine Learning (7) Methods (7) Computer Vision (5) Deep Learning (4) Core Methods (4) Learning Types Β· Deep Learning (4) Optimization & Theory (4) Analysis (3) Interdisciplinary (2) Mathematics & Optimization (2) Natural Language Processing (2)

Keywords

large language model (4) game theory (4) multi-agent system (4) reinforcement learning (4) multi-agent reinforcement learning (3) generative model (3) transfer learning (2) pipeline safety (2) signal processing (2) cross-model generalization (2) policy gradient (2) representation learning (2) deep learning (2) bayesian inference (1) benchmark evaluation (1) anomaly detection (1) zero-shot learning (1) variational inference (1) multi-view fusion (1) policy optimization (1)

Papers

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