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Fan Feng

11 papers · 2022–2026 · 6 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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+5 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (17) πŸ† Keyword Champion (2)
🌈 Renaissance Researcher (5) πŸ—ƒοΈ Keyword Collector (53) πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze πŸš€ Conference Pioneer

Venues

ICLR (5) NeurIPS (2) AAAI (1) CVPR (1) EMNLP (1) MICCAI (1)

Top co-authors

Biwei Huang (4) Jing Huo (3) Yang Gao (3) Hongye Cao (3) Sara Magliacane (3) Tianpei Yang (3) Kun Zhang (2) Meng Fang (2) Hammadi Rafik Ouariachi (1) Shikui Tu (1)

Research topics

Reinforcement Learning (8) Methods (8) Artificial Intelligence (7) Core AI (7) Machine Learning (5) Learning Types (3) Robotics (2) Capabilities (2) Data Science & Analytics (1) Deep Learning (1) Natural Language Processing (1) Application Areas (1) Applications (1) Core Methods (1) Generation (1)

Keywords

sample efficiency (3) reinforcement learning (3) factored mdp (2) world model (2) robotic manipulation (1) domain generalization (1) contrastive learning (1) self-supervised learning (1) domain adaptation (1) causal structure learning (1) compositional generalization (1) mutual information (1) model-based reinforcement learning (1) distribution shift (1) graphical model (1) domain knowledge (1) partially observable environment (1) policy adaptation (1) transfer learning (1) multi-agent reinforcement learning (1)

Papers

Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 DreamSAC: Learning Hamiltonian World Models via Symmetry Exploration CVPR 2026 Causal Information Prioritization for Efficient Reinforcement Learning ICLR 2025 Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning ICLR 2025 Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning ICLR 2025 Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations ICLR 2025 Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation MICCAI 2024 Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue EMNLP 2023 Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning NeurIPS 2023 AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning ICLR 2022 Factored Adaptation for Non-Stationary Reinforcement Learning NeurIPS 2022