Haixu Yu

According to our database, Haixu Yu authored at least 10 papers between 2019 and 2026.

Collaborative distances:

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

2026

Memory-Based Deep Reinforcement Learning for Quantum Control With Partial Observations.

Haixu Yu, Qi Yu, Chunlin Chen, Xudong Zhao

IEEE Trans. Emerg. Top. Comput. Intell., June, 2026

Particle-Assisted Deep Reinforcement Learning for Quantum State Manipulation.

Haixu Yu, Xiang Liu, Bohui Wang, Xudong Zhao

IEEE Trans. Evol. Comput., February, 2026

2025

Quantum-Inspired Reinforcement Learning for Quantum Control.

Haixu Yu, Xudong Zhao, Chunlin Chen

IEEE Trans. Control. Syst. Technol., January, 2025

Deep Reinforcement Learning With Curriculum Design for Quantum State Classification.

Haixu Yu, Xudong Zhao

IEEE Trans. Emerg. Top. Comput., 2025

2024

Hamiltonian Identification via Quantum Ensemble Classification.

Haixu Yu, Xudong Zhao, Daoyi Dong, Chunlin Chen

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Deep Reinforcement Learning With Reward Design for Quantum Control.

Haixu Yu, Xudong Zhao

IEEE Trans. Artif. Intell., March, 2024

Event-Based Deep Reinforcement Learning for Quantum Control.

Haixu Yu, Xudong Zhao

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Investigation of ACFM for Metal Surface Defect Identification and Categorization.

Haixu Yu, Dongping Han, Chaoyue Li, Jun Cheng

Proceedings of the International Conference on Control, Automation and Diagnosis, 2024

2022

Volatility Risk Premium, Return Predictability, and ESG Sentiment: Evidence from China's Spots and Options' Markets.

Zhaohua Liu, Susheng Wang, Siyi Liu, Haixu Yu, He Wang

Complex., 2022

2019

An Emotion-Based Approach to Reinforcement Learning Reward Design.

Haixu Yu, Pei Yang

Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019