Chenjia Bai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
9
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning. | Yingnan Zhao, Xinmiao Wang, Dewei Wang, Xinzhe Liu, Dan Lu, Qilong Han, Peng Liu, Chenjia Bai |
| 2025 | AAAI | Forward KL Regularized Preference Optimization for Aligning Diffusion Policies. | Zhao Shan, Chenyou Fan, Shuang Qiu, Jiyuan Shi, Chenjia Bai |
| 2025 | AAAI | Radiology Report Generation via Multi-objective Preference Optimization. | Ting Xiao, Lei Shi, Peng Liu, Zhe Wang, Chenjia Bai |
| 2025 | ACL | Online Iterative Self-Alignment for Radiology Report Generation. | Ting Xiao, Lei Shi, Yang Zhang, HaoFeng Yang, Zhe Wang, Chenjia Bai |
| 2025 | ACL | Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration. | Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Zhen Wang, Xuelong Li |
| 2025 | EMNLP | VLP: Vision-Language Preference Learning for Embodied Manipulation. | Runze Liu, Chenjia Bai, Jiafei Lyu, Shengjie Sun, Yali Du, Xiu Li |
| 2025 | ICLR | Online Preference Alignment for Language Models via Count-based Exploration. | Chenjia Bai, Yang Zhang, Shuang Qiu, Qiaosheng Zhang, Kang Xu, Xuelong Li |
| 2025 | ICLR | Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning. | Xinran Li, Xiaolu Wang, Chenjia Bai, Jun Zhang |
| 2025 | ICLR | Discriminator-Guided Embodied Planning for LLM Agent. | Haofu Qian, Chenjia Bai, Jiatao Zhang, Fei Wu, Wei Song, Xuelong Li |
| 2025 | ICML | Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner. | Chenyou Fan, Chenjia Bai, Zhao Shan, Haoran He, Yang Zhang, Zhen Wang |
| 2025 | IROS | Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning. | Weiji Xie, Chenjia Bai, Jiyuan Shi, Junkai Yang, Yunfei Ge, Weinan Zhang, Xuelong Li |
| 2025 | IROS | Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control. | Xinyi Yuan, Zhiwei Shang, Zifan Wang, Chenkai Wang, Zhao Shan, Meixin Zhu, Chenjia Bai, Weiwei Wan, Kensuke Harada, Xuelong Li |
| 2024 | AAAI | OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. | Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun |
| 2024 | CoRL | Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective. | Haoran He, Peilin Wu, Chenjia Bai, Hang Lai, Lingxiao Wang, Ling Pan, Xiaolin Hu, Weinan Zhang |
| 2024 | ECAI | SelfBC: Self Behavior Cloning for Offline Reinforcement Learning. | Shirong Liu, Chenjia Bai, Zixian Guo, Hao Zhang, Gaurav Sharma, Yang Liu |
| 2024 | ICML | Constrained Ensemble Exploration for Unsupervised Skill Discovery. | Chenjia Bai, Rushuai Yang, Qiaosheng Zhang, Kang Xu, Yi Chen, Ting Xiao, Xuelong Li |
| 2024 | ICML | Cross-Domain Policy Adaptation by Capturing Representation Mismatch. | Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li |
| 2024 | ICML | Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning. | Xiaoyu Wen, Chenjia Bai, Kang Xu, Xudong Yu, Yang Zhang, Xuelong Li, Zhen Wang |
| 2024 | ICML | SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation. | Junjie Zhang, Chenjia Bai, Haoran He, Zhigang Wang, Bin Zhao, Xiu Li, Xuelong Li |
| 2024 | ICML | How Does Goal Relabeling Improve Sample Efficiency? | Sirui Zheng, Chenjia Bai, Zhuoran Yang, Zhaoran Wang |
| 2024 | ICRA | Robust Quadrupedal Locomotion via Risk-Averse Policy Learning. | Jiyuan Shi, Chenjia Bai, Haoran He, Lei Han, Dong Wang, Bin Zhao, Mingguo Zhao, Xiu Li, Xuelong Li |
| 2023 | ICML | Behavior Contrastive Learning for Unsupervised Skill Discovery. | Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li |
| 2022 | ICLR | Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. | Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang |
| 2022 | ICML | Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. | Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang |
| 2021 | ICML | Principled Exploration via Optimistic Bootstrapping and Backward Induction. | Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang |