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ORCIDYinzhao Dong
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2020 – today
- 2025
[j8]Yidan Lu
, Yinzhao Dong, Jiahui Zhang, Ji Ma, Peng Lu:
FR-Net: Learning Robust Quadrupedal Fall Recovery on Challenging Terrains through Mass-Contact Prediction. IEEE Robotics Autom. Lett. 10(7): 6632-6639 (2025)- [j7]Yimin Han, Jiahui Zhang, Zeren Luo, Yinzhao Dong, Jinghan Lin, Liu Zhao, Shihao Dong, Peng Lu:
OmniNet: Omnidirectional Jumping Neural Network With Height-Awareness for Quadrupedal Robots. IEEE Robotics Autom. Lett. 10(8): 7915-7922 (2025) - [j6]Yeke Chen, Ji Ma, Zeren Luo, Yimin Han, Yinzhao Dong, Bowen Xu, Peng Lu:
Learning Autonomous and Safe Quadruped Traversal of Complex Terrains Using Multi-Layer Elevation Maps. IEEE Robotics Autom. Lett. 10(10): 9606-9613 (2025) - [j5]Yinzhao Dong, Ji Ma, Liu Zhao, Wanyue Li, Peng Lu:
MARG: MAstering Risky Gap Terrains for Legged Robots With Elevation Mapping. IEEE Trans. Robotics 41: 6123-6139 (2025) - [i5]Yidan Lu, Yinzhao Dong, Jiahui Zhang, Ji Ma, Peng Lu:
FR-Net: Learning Robust Quadrupedal Fall Recovery on Challenging Terrains through Mass-Contact Prediction. CoRR abs/2509.11504 (2025) - [i4]Yidan Lu, Rurui Yang, Qiran Kou, Mengting Chen, Tao Fan, Peter Cui, Yinzhao Dong, Peng Lu:
Contrastive Representation Learning for Robust Sim-to-Real Transfer of Adaptive Humanoid Locomotion. CoRR abs/2509.12858 (2025) - [i3]Yinzhao Dong, Ji Ma, Liu Zhao, Wanyue Li, Peng Lu:
MARG: MAstering Risky Gap Terrains for Legged Robots with Elevation Mapping. CoRR abs/2509.20036 (2025) - 2024
- [j4]Zeren Luo, Yinzhao Dong, Xinqi Li, Rui Huang, Zhengjie Shu, Erdong Xiao, Peng Lu:
MorAL: Learning Morphologically Adaptive Locomotion Controller for Quadrupedal Robots on Challenging Terrains. IEEE Robotics Autom. Lett. 9(5): 4019-4026 (2024) - [i2]Yidan Lu, Yinzhao Dong, Ji Ma, Jiahui Zhang, Peng Lu:
Learning an Adaptive Fall Recovery Controller for Quadrupeds on Complex Terrains. CoRR abs/2412.16924 (2024) - 2023
- [j3]Jianing Qiu, Lin Li, Jiankai Sun, Jiachuan Peng, Peilun Shi, Ruiyang Zhang, Yinzhao Dong, Kyle Lam, Frank P.-W. Lo, Bo Xiao, Wu Yuan, Ningli Wang, Dong Xu, Benny P. L. Lo:
Large AI Models in Health Informatics: Applications, Challenges, and the Future. IEEE J. Biomed. Health Informatics 27(12): 6074-6087 (2023) - [i1]Jianing Qiu, Lin Li, Jiankai Sun, Jiachuan Peng, Peilun Shi, Ruiyang Zhang, Yinzhao Dong, Kyle Lam, Frank P.-W. Lo, Bo Xiao, Wu Yuan, Dong Xu, Benny Lo:
Large AI Models in Health Informatics: Applications, Challenges, and the Future. CoRR abs/2303.11568 (2023) - 2020
- [j2]Chao Yu, Guoqi Ren, Yinzhao Dong:
Supervised-actor-critic reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units. BMC Medical Informatics Decis. Mak. 20-S(3): 124 (2020) - [c3]Yinzhao Dong, Chao Yu, Paul Weng, Ahmed Maustafa, Hui Cheng, Hongwei Ge:
Decomposed Deep Reinforcement Learning for Robotic Control. AAMAS 2020: 1834-1836 - [c2]Chao Yu, Tianpei Yang, Wenxuan Zhu, Yinzhao Dong, Guangliang Li:
Interactive RL via Online Human Demonstrations. AAMAS 2020: 2065-2067 - [c1]Yinzhao Dong, Chao Yu, Hongwei Ge:
D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control. DAI 2020: 40-54
2010 – 2019
- 2019
- [j1]Chao Yu, Yinzhao Dong, Jiming Liu, Guoqi Ren:
Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV. BMC Medical Informatics Decis. Mak. 19-S(2): 19-29 (2019)
Coauthor Index
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