Hongyin Zhang

Orcid: 0000-0002-9216-8403

Affiliations:
  • Westlake University, School of Engineering, Department of Artificial Intelligence, Hangzhou, China


According to our database1, Hongyin Zhang authored at least 25 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems.
CoRR, April, 2026

MMaDA-VLA: Large Diffusion Vision-Language-Action Model with Unified Multi-Modal Instruction and Generation.
CoRR, March, 2026

Information-Theoretic Constraints for Continual Vision-Language-Action Alignment.
CoRR, March, 2026

CMR: Contractive Mapping Embeddings for Robust Humanoid Locomotion on Unstructured Terrains.
CoRR, February, 2026

CRL-VLA: Continual Vision-Language-Action Learning.
CoRR, February, 2026

Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
RobustVLA: Robustness-Aware Reinforcement Post-Training for Vision-Language-Action Models.
CoRR, November, 2025

VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators.
CoRR, October, 2025

Multi-Task Multi-Agent Reinforcement Learning via Skill Graphs.
IEEE Robotics Autom. Lett., September, 2025

TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control.
CoRR, February, 2025

VSG: Rapid Adaptation in Autonomous Driving via Vehicle Skill Graph.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Quart-Online: Latency-Free Multimodal Large Language Model for Quadruped Robot Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Continual Reinforcement Learning for Quadruped Robot Locomotion.
Entropy, January, 2024

QUART-Online: Latency-Free Large Multimodal Language Model for Quadruped Robot Learning.
CoRR, 2024

RL2AC: Reinforcement Learning-based Rapid Online Adaptive Control for Legged Robot Robust Locomotion.
Proceedings of the Robotics: Science and Systems XX, 2024

A Real-World Quadrupedal Locomotion Benchmark for Offline Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
RSG: Fast Learning Adaptive Skills for Quadruped Robots by Skill Graph.
CoRR, 2023

Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Imitation and Adaptation Based on Consistency: A Quadruped Robot Imitates Animals from Videos Using Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Terrain-Aware Risk-Assessment-Network-Aided Deep Reinforcement Learning for Quadrupedal Locomotion in Tough Terrain.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Hierarchical Terrain-Aware Control for Quadrupedal Locomotion by Combining Deep Reinforcement Learning and Optimal Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Preferential Experience Collection with Frequency based Intrinsic Reward for Deep Reinforcement Learning.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020


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