Tian-Bing Xu
Papers
5
Total Citations
63
H-Index
5
About
Tian-Bing Xu is a leading researcher in advanced piezoelectric materials and their applications in actuation, energy harvesting, and artificial intelligence systems. His major contributions center on the development and characterization of piezoelectric ultrasonic motors (USMs) and relaxor single crystals, such as PMN-PT and PIN-PMN-PT, for use in cryogenic and high-performance actuators. His comprehensive review on USMs, which has garnered 32 citations, systematically classifies these motors, details fabrication methods, and outlines future challenges, establishing a foundational reference for the field. Xu has also pioneered work on stochastic variance reduction for policy gradient estimation in reinforcement learning, demonstrating interdisciplinary impact with 10 citations. His reviews on PMN-PT materials for cryogenic actuators and piezoelectric energy harvesting for AI systems further highlight his role in bridging materials science with practical engineering. With over 60 total citations across his most-cited works, Xu’s research is instrumental in advancing smart materials and robotics, offering critical insights for students and researchers exploring next-generation actuators and energy-efficient AI hardware.
Research Focus
Key Achievements
Top Papers
- 1
- 2Stochastic Variance Reduction for Policy Gradient Estimation10 citations · 2017
- 3
- 4
- 5