Prof. Bin Liu | Machine Learning in Physics | Best Researcher Award
E-Surfing Digital Life Co., Limited | China
Bin Liu is a renowned expert in the fields of AI, deep learning, Bayesian methods, reinforcement learning, and embodied intelligence. He holds a Ph.D. in Signal and Information Processing from the Chinese Academy of Sciences and has contributed significantly to the development of AI algorithms with cross-disciplinary applications spanning robotics, physics, brain-computer interfaces, and more. Currently, he serves as the Chief Robot Expert at E-Surfing Digital Life Technology Co. Ltd., China Telecom Group, and continues to lead impactful research in AI and robotics.
Profile
Early Academic Pursuits ๐
Bin Liu began his academic journey at Beijing University of Posts and Telecommunications, earning a Bachelor’s degree in Automation. His deep interest in signal processingย led him to pursue a Ph.D. at the Chinese Academy of Sciences under the mentorship of Prof. Chaohuan Hou, an IEEE Fellow and Academician of the Chinese Academy of Sciences. His doctoral research laid the foundation for his future contributions to AI and computational methods.
Professional Endeavors ๐ผ
Bin Liu has held various prestigious positions in leading tech and academic institutions. His roles include Senior Research Fellow in AI at Midea Group, Team Leader at Zhejiang Lab, and Senior Algorithm Expert at Alibaba Group. He has also served as Associate Professor at Nanjing University of Posts and Telecommunications (NUPT) and Visiting Faculty at institutions such as Carnegie Mellon University and Duke University. His leadership positions reflect his vast influence in shaping AI research and development.
Contributions and Research Focus ๐ฌ
Bin Liuโs research has made remarkable strides in deep learning, Bayesian inference, reinforcement learning, and robotics. He is currently focused on the development of large pre-trained AI models and embodied robot systems. His work on reinforcement learning algorithms and dynamic multi-model ensembling has contributed to solving complex AI challenges, particularly in robotics and automation.
Academic Cites ๐
Bin Liuโs research has garnered widespread recognition in the academic community, with numerous citations on platforms like Google Scholar, ResearchGate, and DBLP. His work is frequently referenced in AI conferences such as ICML, ICLR, NeurIPS, and CVPR, solidifying his stature in the global AI research community.
Research Skills ๐ง
Bin Liu possesses a broad skill set, including expertise in statistical modeling, Bayesian statistics, deep learning algorithms, and robotics. His multidisciplinary approach allows him to tackle complex problems by integrating knowledge from areas such as optimization, signal processing, and reinforcement learning. He has demonstrated the ability to transform theoretical models into practical, scalable solutions for real-world applications.
Teaching Experience ๐
Beyond research, Bin Liu is deeply committed to education. He holds Adjunct Professorships at prestigious institutions like Zhejiang University and the Institute of Software, Chinese Academy of Sciences. As a Guest PhD Advisor, he mentors aspiring researchers, guiding them through advanced topics in AI and machine learning. His teaching and mentoring contribute to the next generation of AI experts and robotics innovators.
Awards and Honors ๐
Bin Liu’s contributions to science and technology have earned him numerous accolades, including:
- MIT Technology Review Intelligent Computing Annual Innovator in China (April 2024)
- CVPR’23 SoccerNet Challenge Runner-Up (June 2023)
- Best Paper Award, ICACI 2018
- Research Achievement Award by APSCIT (2017)
- High-level Talent in Hangzhou City (2020)
These awards highlight his exceptional innovation and leadership in AI and technology.
Legacy and Future Contributions ๐
Bin Liuโs long-term contributions continue to shape the trajectory of AI research and robotics. His focus on large pre-trained models and embodied AI systems will likely lead to significant breakthroughs in automation, robot-human interaction, and AI-enabled industries. His ongoing work is poised to make lasting impacts on how we integrate AI into everyday life, making him a pioneer in the evolving field of AI and robotics.
ย Publications Top Notes
- Authors: Zhengqi Zhang, Jing Li, Bin Liu
Journal: Journal of Computational Physics
Year: 2025
FADS: Fourier-Augmentation Based Data-Shunting for Few-Shot Classification
- Authors: Shuai Shao, Yan Wang, Bin Liu, Weifeng Liu, Yanjiang Wang, Baodi Liu
Journal: IEEE Transactions on Circuits and Systems for Video Technology
Year: 2024
Stochastic Weight Averaging Revisited
- Authors: Hao Guo, Jiyong Jin, Bin Liu
Journal: Applied Sciences
Year: 2023
Robust Dynamic Multi-Modal Data Fusion: A Model Uncertainty Perspective
- Authors: Bin Liu
Journal: IEEE Signal Processing Letters
Year: 2021
A Survey on Trust Modeling from a Bayesian Perspective
- Authors: Bin Liu
Journal: Wireless Personal Communications
Year: 2020