Hanping Zhang

According to our database, Hanping Zhang authored at least 18 papers between 2018 and 2026.

Collaborative distances:

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

2026

Bi-Level Optimization for Single Domain Generalization.

Marzi Heidari, Hanping Zhang, Hao Yan, Yuhong Guo

CoRR, April, 2026

Bridging Dynamics Gaps via Diffusion Schrödinger Bridge for Cross-Domain Reinforcement Learning.

Hanping Zhang, Yuhong Guo

CoRR, February, 2026

Diffusion Modulation via Environment Mechanism Modeling for Planning.

Hanping Zhang, Yuhong Guo

CoRR, February, 2026

2025

Learning to Clean: Reinforcement Learning for Noisy Label Correction.

Marzi Heidari, Hanping Zhang, Yuhong Guo

CoRR, November, 2025

LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning.

Hanping Zhang, Yuhong Guo

CoRR, September, 2025

Skill-based Safe Reinforcement Learning with Risk Planning.

Hanping Zhang, Yuhong Guo

CoRR, May, 2025

Safety Modulation: Enhancing Safety in Reinforcement Learning through Cost-Modulated Rewards.

Hanping Zhang, Yuhong Guo

CoRR, April, 2025

Skill-Enhanced Reinforcement Learning Acceleration from Heterogeneous Demonstrations.

Hanping Zhang, Yuhong Guo

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Zero-Shot Action Generalization with Limited Observations.

Abdullah Alchihabi, Hanping Zhang, Yuhong Guo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Skill-Enhanced Reinforcement Learning Acceleration from Demonstrations.

Hanping Zhang, Yuhong Guo

CoRR, 2024

Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning.

Marzi Heidari, Hanping Zhang, Yuhong Guo

CoRR, 2024

Reinforcement Learning Guided Semi-Supervised Learning.

Marzi Heidari, Hanping Zhang, Yuhong Guo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Safe Reinforcement Learning with Contrastive Risk Prediction.

Hanping Zhang, Yuhong Guo

CoRR, 2022

2021

Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms.

Daning Cheng, Shigang Li, Hanping Zhang, Fen Xia, Yunquan Zhang

IEEE Trans. Parallel Distributed Syst., 2021

Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation.

Hanping Zhang, Yuhong Guo

CoRR, 2021

2019

The Scalability for Parallel Machine Learning Training Algorithm: Dataset Matters.

Daning Cheng, Hanping Zhang, Fen Xia, Shigang Li, Yunquan Zhang

CoRR, 2019

Using Gradient Based Multikernel Gaussian Process and Meta-Acquisition Function to Accelerate SMBO.

Daning Cheng, Hanping Zhang, Fen Xia, Shigang Li, Yunquan Zhang

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Using Known Information to Accelerate HyperParameters Optimization Based on SMBO.

Daning Cheng, Hanping Zhang, Fen Xia, Shigang Li, Yunquan Zhang

CoRR, 2018