Dr. Xianchao Zhu, School of Artificial Intelligence and Big Data/Henan University of Technology, China
Dr. Xianchao Zhu is a Lecturer at the School of Artificial Intelligence and Big Data at Henan University of Technology, a position he has held since 2022. He completed his Ph.D. in Physics at the Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, where his research focused on “Abstraction-based Reinforcement Learning Algorithms and its Quantization.” Prior to his doctoral studies, Dr. Zhu earned a Master of Science in Computer Architecture from the School of Computer, Central China Normal University, with a thesis on “Research on Dimensionality Reduction Visualization Method of High-Dimensional Biological Data Based on Gradient Descent and Adaptive Learning.” His academic interests span artificial intelligence, reinforcement learning, and high-dimensional data analysis.
Professional Profile:
ORCID
Education
- Ph.D. in Physics
Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China
2018 – 2022
Thesis Title: Abstraction-based Reinforcement Learning Algorithms and its Quantization.
- M.Sc. in Computer Architecture
School of Computer, Central China Normal University
2015 – 2018
Thesis Title: Research on Dimensionality Reduction Visualization Method of High-Dimensional Biological Data Based on Gradient Descent and Adaptive Learning.
Employment History
- Lecturer
School of Artificial Intelligence and Big Data, Henan University of Technology
2022 – Present
Publication top Notes:
Salience Interest Option: Temporal abstraction with salience interest functions
Generalization Enhancement of Visual Reinforcement Learning through Internal States
Efficient relation extraction via quantum reinforcement learning
MDMD options discovery for accelerating exploration in sparse-reward domains