Baiming Chen

According to our database, Baiming Chen authored at least 15 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PAIR-Former: Budgeted Relational MIL for miRNA Target Prediction.

Jiaqi Yin, Baiming Chen, Jia Fei, Mingjun Yang

CoRR, February, 2026

Parasite: planting durable backdoors against continual federated model fusion via discriminative feature pushing-pulling.

Tong Chen, Bowen Du, Jiejie Zhao, Jiakai Wang, Haiquan Wang, Yuxi Li, Baiming Chen, Weifeng Lv

Inf. Fusion, 2026

2022

Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios.

Baiming Chen, Xiang Chen, Qiong Wu, Liang Li

IEEE Trans. Intell. Transp. Syst., 2022

2021

Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation.

Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao

IEEE Robotics Autom. Lett., 2021

Delay-aware model-based reinforcement learning for continuous control.

Baiming Chen, Mengdi Xu, Liang Li, Ding Zhao

Neurocomputing, 2021

Context-Aware Safe Reinforcement Learning for Non-Stationary Environments.

Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Ding Zhao

CoRR, 2021

Context-Aware Safe Reinforcement Learning for Non-Stationary Environments.

Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Liang Li, Ding Zhao

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method.

Zuxin Liu, Hongyi Zhou, Baiming Chen, Sicheng Zhong, Martial Hebert, Ding Zhao

CoRR, 2020

Delay-Aware Multi-Agent Reinforcement Learning.

Baiming Chen, Mengdi Xu, Zuxin Liu, Liang Li, Ding Zhao

CoRR, 2020

Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios.

Baiming Chen, Liang Li

CoRR, 2020

Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes.

Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments.

Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method.

Wenhao Ding, Baiming Chen, Minjun Xu, Ding Zhao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2018

Hierarchical Lateral Control Scheme for Autonomous Vehicle with Uneven Time Delays Induced by Vision Sensors.

Qi Liu, Yahui Liu, Congzhi Liu, Baiming Chen, Wenhao Zhang, Liang Li, Xuewu Ji

Sensors, 2018

2017

Evaluation of automated vehicles encountering pedestrians at unsignalized crossings.

Baiming Chen, Ding Zhao, Huei Peng

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017