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← Authors

Chunlin Chen

20 papers · 2021–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (8) 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🌈 Renaissance Researcher (6)
πŸ—ΊοΈ Taxonomy Completionist (38) 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (8) πŸ† Grand Slam πŸ’Ž Century Club (16) πŸ—ƒοΈ Keyword Collector (89) ⚑ Prolific Year (8)

Conferences

AAAI (7) NIPS (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)

Keywords

multi-view clustering (4) incomplete multi-view (2) value decomposition (2) contrastive learning (2) generative adversarial network (2) multi-agent reinforcement learning (2) incomplete multi-view clustering (2) offline reinforcement learning (1) representation learning (1) deep reinforcement learning (1) zero-shot learning (1) semi-supervised learning (1) continual learning (1) imitation learning (1) reinforcement learning (1) transformer architecture (1) sparse representation (1) hierarchical learning (1) knowledge transfer (1) information bottleneck (1)

Papers

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