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Chunlin Chen

20 papers · 2021–2026 · 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 ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (41) πŸƒ Academic Marathon Β· Sprint 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver
πŸ† Grand Slam 🌈 Renaissance Researcher (5) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (108)

Venues

AAAI (7) NeurIPS (4) ICLR (3) ICML (3) IJCAI (2) CoRL (1)

Top co-authors

Huaxiong Li (9) Chao Zhang (8) Huiqiao Fu (5) Kaiqiang Tang (4) Guizhou Deng (3) Zichuan Liu (3) Xiuyi Jia (3) Deng Xu (3) Zhi Wang (3) Yuanyang Zhu (2)

Research topics

Artificial Intelligence (13) Machine Learning (13) Learning Types Β· Machine Learning (12) Core AI (11) Core Methods (9) Reinforcement Learning (7) Deep Learning (6) Methods (6) Data Science & Analytics (3) Applications Β· Data Science & Analytics (3) Applications Β· Reinforcement Learning (3) Architectures (3) Learning Paradigms (3) Learning Types Β· Deep Learning (2) Mathematics & Optimization (1)

Keywords

multi-view clustering (4) contrastive learning (4) multi-agent reinforcement learning (3) value decomposition (3) large language model (2) offline learning (2) generative adversarial network (2) incomplete multi-view clustering (2) hexapod robot (2) incomplete multi-view (2) offline reinforcement learning (1) semi-supervised learning (1) zero-shot learning (1) imitation learning (1) representation learning (1) deep reinforcement learning (1) continual learning (1) attention mechanism (1) reinforcement learning (1) transformer architecture (1)

Papers

Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition AAAI 2026 Online Cross-Modal Hashing with Expanding Label Space AAAI 2026 Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration AAAI 2026 Semantic-Aware Feature Enhancement for Partial Label Learning AAAI 2026 Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning ICML 2025 Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction AAAI 2025 PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations ICLR 2025 Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning ICLR 2024 Continual Multi-View Clustering with Consistent Anchor Guidance IJCAI 2024 EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer NeurIPS 2024 Explaining Time Series via Contrastive and Locally Sparse Perturbations ICLR 2024 Learning Cluster-Wise Anchors for Multi-View Clustering AAAI 2024 Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NeurIPS 2024 Multi-agent Reinforcement Learning with Hybrid Action Space for Free Gait Motion Planning of Hexapod Robots CoRL 2024 Protecting Your LLMs with Information Bottleneck NeurIPS 2024 Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering AAAI 2023 Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations NeurIPS 2023 Model-Aware Contrastive Learning: Towards Escaping the Dilemmas ICML 2023 NA^2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning ICML 2023 Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots IJCAI 2021