Lei Le
Shanghai University of Sport(CN)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Neural dynamics and brain function, Sparse and Compressive Sensing Techniques, Radar Systems and Signal Processing, Bone Metabolism and Diseases
Most-Cited Works
- → Extensive germline genome engineering in pigs(2020)162 cited
- Supervised autoencoders: Improving generalization performance with unsupervised regularizers(2018)
- → Mechanical Stress Regulates Bone Metabolism Through MicroRNAs(2016)84 cited
- → The effects of locomotion on bone marrow mesenchymal stem cell fate: insight into mechanical regulation and bone formation(2021)43 cited
- → The Utility of Sparse Representations for Control in Reinforcement Learning(2019)41 cited
- → MiR-214 Attenuates the Osteogenic Effects of Mechanical Loading on Osteoblasts(2019)29 cited
- → Spatial Colocation Pattern Discovery Incorporating Fuzzy Theory(2021)26 cited
- → Medium-Intensity Treadmill Exercise Exerts Beneficial Effects on Bone Modeling Through Bone Marrow Mesenchymal Stromal Cells(2020)23 cited
- → Learning Sparse Representations in Reinforcement Learning with Sparse Coding(2017)23 cited
- → Can Long-Term Regular Practice of Physical Exercises Including Taichi Improve Finger Tapping of Patients Presenting With Mild Cognitive Impairment?(2018)20 cited