Beichen Ding

According to our database, Beichen Ding authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition.

Yuhang Wen, Mengyuan Liu, Songtao Wu, Beichen Ding

CoRR, 2024

A Study of Force-Free Control Framework for Industrial Manipulator Tasks Based on High-Pass Filter.

Guanwei He, Guodong Feng, Beichen Ding

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

A Force-free Control Architecture Integrated with Digital Twin for Collaborative Manipulators.

Guanwei He, Beichen Ding, Qingqing Huang, Guodong Feng

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

Robust H-Infinity Tracking Control for a Valve-Controlled Hydraulic Motor System with Uncertain Parameters in the Complex Load Environment.

Kunwei Lu, Guodong Feng, Beichen Ding

Sensors, November, 2023

A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem.

Shuai Wang, Beichen Ding, Yaochu Jin

IEEE Comput. Intell. Mag., August, 2023

Interactive Spatiotemporal Token Attention Network for Skeleton-Based General Interactive Action Recognition.

Yuhang Wen, Zixuan Tang, Yunsheng Pang, Beichen Ding, Mengyuan Liu

IROS, 2023

2022

Iterative Learning Control for Output Tracking of Nonlinear Systems With Unavailable State Information.

Xuefang Li, Dong Shen, Beichen Ding

IEEE Trans. Neural Networks Learn. Syst., 2022

Fault Tolerant Maximum Torque Per Ampere (FT-MTPA) Control for Dual Three-Phase Interior PMSMs Under Open-Phase Fault.

Guodong Feng, Yuting Lu, Chunyan Lai, Beichen Ding, Narayan C. Kar

IEEE Trans. Ind. Electron., 2022

Attention guided deep features for accurate body mass index estimation.

Zhi Jin, Junjia Huang, Aolin Xiong, Yuxian Pang, Wenjin Wang, Beichen Ding

Pattern Recognit. Lett., 2022

Toward Incentive-Compatible Vehicular Crowdsensing: An Edge-Assisted Hierarchical Framework.

Xinxin Yang, Bo Gu, Bingkun Zheng, Beichen Ding, Yu Han, Keping Yu

IEEE Netw., 2022

When Optimization Meets Machine Learning: The Case of IRS-Assisted Wireless Networks.

Shimin Gong, Jiaye Lin, Beichen Ding, Dusit Niyato, Dong In Kim, Mohsen Guizani

IEEE Netw., 2022

2021

A novel hopping height controller with positive velocity feedback for hydraulic actuated legged robot.

Yan Yuan, Ce Li, Bo Gu, Mengtang Li, Beichen Ding

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

2020

Deep Multi-Agent Reinforcement Learning for Resource Allocation in D2D Communication Underlaying Cellular Networks.

Xu Zhang, Ziqi Lin, Beichen Ding, Bo Gu, Yu Han

Proceedings of the 21st Asia-Pacific Network Operations and Management Symposium, 2020

2019

Investigating Balance Control of a Hopping Bipedal Robot.

Beichen Ding, Andrew R. Plummer, Pejman Iravani

Proceedings of the Towards Autonomous Robotic Systems - 20th Annual Conference, 2019