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Chenjia Bai

28 papers · 2021–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (9) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (5)
πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (38) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ† Grand Slam ⚑ Prolific Year (10) πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (106) ❓ The Questioner πŸ’Ž Century Club (27)

Conferences

ICML (9) NIPS (7) AAAI (4) ICLR (4) ACL (2) CORL (1) EMNLP (1)

Papers

Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning AAAI 2026 Online Iterative Self-Alignment for Radiology Report Generation ACL 2025 Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration ACL 2025 VLP: Vision-Language Preference Learning for Embodied Manipulation EMNLP 2025 Online Preference Alignment for Language Models via Count-based Exploration ICLR 2025 Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning ICLR 2025 Discriminator-Guided Embodied Planning for LLM Agent ICLR 2025 Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner ICML 2025 Forward KL Regularized Preference Optimization for Aligning Diffusion Policies AAAI 2025 Radiology Report Generation via Multi-objective Preference Optimization AAAI 2025 Cross-Domain Policy Adaptation by Capturing Representation Mismatch ICML 2024 SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation ICML 2024 How Does Goal Relabeling Improve Sample Efficiency? ICML 2024 Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training NIPS 2024 ODRL: A Benchmark for Off-Dynamics Reinforcement Learning NIPS 2024 Regularized Conditional Diffusion Model for Multi-Task Preference Alignment NIPS 2024 Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective CORL 2024 OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024 Constrained Ensemble Exploration for Unsupervised Skill Discovery ICML 2024 Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning ICML 2024 Behavior Contrastive Learning for Unsupervised Skill Discovery ICML 2023 Cross-Domain Policy Adaptation via Value-Guided Data Filtering NIPS 2023 Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning NIPS 2023 Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning ICLR 2022 RORL: Robust Offline Reinforcement Learning via Conservative Smoothing NIPS 2022 Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning ICML 2022 Principled Exploration via Optimistic Bootstrapping and Backward Induction ICML 2021 Dynamic Bottleneck for Robust Self-Supervised Exploration NIPS 2021