Wenhao Tan

According to our database, Wenhao Tan authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

IGCN: A Provably Informative GCN Embedding for Semi-Supervised Learning With Extremely Limited Labels.

Lin Zhang, Ran Song, Wenhao Tan, Lin Ma, Wei Zhang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

A Hierarchical Framework for Quadruped Omnidirectional Locomotion Based on Reinforcement Learning.

Wenhao Tan, Xing Fang, Wei Zhang, Ran Song, Teng Chen, Yu Zheng, Yibin Li

IEEE Trans Autom. Sci. Eng., October, 2024

MCLER: Multi-Critic Continual Learning With Experience Replay for Quadruped Gait Generation.

Maoqi Liu, Yanyun Chen, Ran Song, Longyue Qian, Xing Fang, Wenhao Tan, Yibin Li, Wei Zhang

IEEE Robotics Autom. Lett., September, 2024

2023

Intelligent Emergency Notification Mobile Service via Multi-task BERT Models.

Wenhao Tan, Yanzhou Zhang, Kaikai Liu

Proceedings of the 11th IEEE International Conference on Mobile Cloud Computing, 2023

UAU-Net: United Attention U-Shaped Network for the Segmentation of Pigment Deposits in Fundus Images of Retinitis Pigmentosa.

Jingcheng Xu, Zhuoshi Wang, Weifang Zhu, Yi Zhou, Yan Sun, Zhuang Li, Ming Liu, Wenhao Tan, Ling Xu, Xinjian Chen

Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

2021

A Hierarchical Framework for Quadruped Locomotion Based on Reinforcement Learning.

Wenhao Tan, Xing Fang, Wei Zhang, Ran Song, Teng Chen, Yu Zheng, Yibin Li

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Data-Driven Transferred Energy Management Strategy for Hybrid Electric Vehicles via Deep Reinforcement Learning.

Teng Liu, Wenhao Tan, Shaobo Lu, Yalian Yang

CoRR, 2020

Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning.

Teng Liu, Wenhao Tan, Xiaolin Tang, Jiaxin Chen, Dongpu Cao

CoRR, 2020

Driving Conditions-Driven Energy Management for Hybrid Electric Vehicles: A Review.

Teng Liu, Xiaolin Tang, Jinwei Zhang, Wenhao Tan, Yang Xing, Dongpu Cao

CoRR, 2020

Human-like Energy Management Based on Deep Reinforcement Learning and Historical Driving Experiences.

Teng Liu, Xiaolin Tang, Xiaosong Hu, Wenhao Tan, Jinwei Zhang

CoRR, 2020

Transferred Energy Management Strategies for Hybrid Electric Vehicles Based on Driving Conditions Recognition.

Teng Liu, Xiaolin Tang, Jiaxin Chen, Hong Wang, Wenhao Tan, Yalian Yang

CoRR, 2020

Transfer Deep Reinforcement Learning-Enabled Energy Management Strategy for Hybrid Tracked Vehicle.

Xiaowei Guo, Teng Liu, Bangbei Tang, Xiaolin Tang, Jinwei Zhang, Wenhao Tan, Shufeng Jin

IEEE Access, 2020