Dr. He Liang, born in December 1981, is a distinguished professor and serves as the Executive Vice Dean of the School of Computer Science and Technology, as well as the Dean of the School of Intelligence Science and Technology at Xinjiang University. He holds a Ph.D. in Artificial Intelligence and specializes in temporal sequence signal processing, knowledge graphs, and reinforcement learning.
Educational Background:
- Qualification: PhD
- Specialization: Artificial Intelligence
- Sub-Division: Knowledge Graphs, Reinforcement Learning
Professional Experience and Achievements:
Dr. He Liang serves as the Executive Vice Dean of the School of Computer Science and Technology and Dean of the School of Intelligence and Science and Technology at Xinjiang University. With a focus on temporal sequence signal processing, knowledge graphs, and reinforcement learning, he has led over 20 scientific research projects and published over 100 academic papers in prestigious journals and conferences, including Nature Communication, IEEE Trans on ASLP, and ICASSP.
He is a well-regarded reviewer for several international journals and conferences such as IEEE Audio, Speech and Language Processing, and Pattern Recognition. Dr. Liang’s contributions to research have earned him over 1000 citations in Scopus/Web of Science.
Research and Development Contributions:
Dr. Liang has made significant contributions to the study of drought stress resistance in cotton plants, exploring optimal irrigation methods to improve yield and conserve water. His research has shown a strong correlation between deficit irrigation and improved cotton yield, leading to optimized irrigation schemes that benefit local agriculture.
Agronomy Research Focus:
Dr. He Liang has directed a significant portion of his research towards addressing agronomic challenges, particularly in the context of arid regions. His work primarily focuses on optimizing agricultural practices through advanced data-driven methodologies and artificial intelligence.
Citations:
- H-Index: 25 (Total), 24 (Since 2019)
- i10-Index: 66 (Total), 61 (Since 2019)
- Total Citations: 2352 (Total), 1836 (Since 2019)