Using Known Information to Accelerate HyperParameters Optimization Based on SMBO. - Daning Cheng; Hanping Zhang; Fen Xia; Shigang Li 002; Yunquan Zhang (CoRR, 2018)

Using Gradient Based Multikernel Gaussian Process and Meta-Acquisition Function to Accelerate SMBO. - Daning Cheng; Hanping Zhang; Fen Xia; Shigang Li 002; Yunquan Zhang (ICTAI, 2019)

The Scalability for Parallel Machine Learning Training Algorithm: Dataset Matters. - Daning Cheng; Hanping Zhang; Fen Xia; Shigang Li 002; Yunquan Zhang (CoRR, 2019)

Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation. - Hanping Zhang; Yuhong Guo (CoRR, 2021)

Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms. - Daning Cheng; Shigang Li 002; Hanping Zhang; Fen Xia; Yunquan Zhang (IEEE Trans. Parallel Distributed Syst., 2021)

Safe Reinforcement Learning with Contrastive Risk Prediction. - Hanping Zhang; Yuhong Guo (CoRR, 2022)

Reinforcement Learning Guided Semi-Supervised Learning. - Marzi Heidari; Hanping Zhang; Yuhong Guo (NeurIPS, 2024)

Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning. - Marzi Heidari; Hanping Zhang; Yuhong Guo (CoRR, 2024)

Skill-Enhanced Reinforcement Learning Acceleration from Demonstrations. - Hanping Zhang; Yuhong Guo (CoRR, 2024)

Zero-Shot Action Generalization with Limited Observations. - Abdullah Alchihabi; Hanping Zhang; Yuhong Guo (AISTATS, 2025)

Safety Modulation: Enhancing Safety in Reinforcement Learning through Cost-Modulated Rewards. - Hanping Zhang; Yuhong Guo (CoRR, 2025)

Skill-based Safe Reinforcement Learning with Risk Planning. - Hanping Zhang; Yuhong Guo (CoRR, 2025)