Huaiyang Zhong

According to our database, Huaiyang Zhong authored at least 9 papers between 2017 and 2026.

Collaborative distances:

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

2026

The Enhanced Physics-Informed Kolmogorov-Arnold Networks: Applications of Newton's Laws in Financial Deep Reinforcement Learning (RL) Algorithms.

Trang Thoi, Hung Tran, Tram Thoi, Huaiyang Zhong

CoRR, February, 2026

2025

Optimistic Reinforcement Learning with Quantile Objectives.

Mohammad Alipour-Vaezi, Huaiyang Zhong, Kwok-Leung Tsui, Sajad Khodadadian

CoRR, November, 2025

Exploration-free Algorithms for Multi-group Mean Estimation.

Ziyi Wei, Huaiyang Zhong, Xiaocheng Li

CoRR, October, 2025

What Matters in Data for DPO?

Yu Pan, Zhongze Cai, Guanting Chen, Huaiyang Zhong, Chonghuan Wang

CoRR, August, 2025

2024

Towards Better Statistical Understanding of Watermarking LLMs.

Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, Xiaocheng Li

CoRR, 2024

2023

Harnessing Diverse Data for Global Disaster Prediction: A Multimodal Framework.

Gengyin Liu, Huaiyang Zhong

CoRR, 2023

2022

Quantile Markov Decision Processes.

Xiaocheng Li, Huaiyang Zhong, Margaret L. Brandeau

Oper. Res., 2022

2017

Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans.

Huaiyang Zhong, Xiaocheng Li, David B. Lobell, Stefano Ermon, Margaret L. Brandeau

CoRR, 2017

Quantile Markov Decision Process.

Xiaocheng Li, Huaiyang Zhong, Margaret L. Brandeau

CoRR, 2017