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Dr Bo Liu received his PhD. degree from the Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China in 2010. He is currently an Associate Professor at the University of Technology Sydney, Australia.
Bo Liu. I am a senior scientist at Amazon.com. My current research focus centers around Trustworthy AI (such as interpretable AI, safe and risk-aware AI, fairness in AI, etc.), Interactive Machine Learning (such as reinforcement learning, human-aided learning), and Neural-Symbolic AI (such as neural-symbolic rule synthesis and analysis).
Bo Liu is currently a professor at the School of Automation, GuangDong University of Technology. He does research in machine learning, data mining and physics. Email：csboliu@163.com
Topics like cellular signaling dynamics and population collective behavior, demonstrate life’s capability to maintain orderly function and self-organize towards a better state, despite immense complexity and ubiquitous stochasticity.
Ruhr-Universität Bochum: Bochum, Nordrhein-Westfalen, DE. 2009-12 to 2012-03 | AvH postdoctoral fellow (Inorganic chemistry) Education. Show more detail. Source : Bo Liu.
Jul 3, 2024 · Bo Liu. Professor. Plant Biology. 530-754-8138. bliu@ucdavis.edu. Lab website. Google Scholar. ORCID (0000-0002-6234-7451) 2167 Green Hall. Research Interests. We are cell biologists devoted to advancing our knowledge of the cytoskeleton and intracellular motility in plant and fungal cells.
Bo Liu. Research Fellow since 2009. CONTACT. E-mail: chelb @nus.edu.sg. EDUCATION. Ph.D. Department of Chemistry, Fudan University, 2003. B.Sc. Department of Chemistry, Shanghai Normal University, 1998. RESEARCH INTEREST. 1) Electrocatalyst for ethanol oxidation reaction (EOR).
Articles 1–20. PhD, AAAI SM, IEEE SM - Cited by 2,587 - Reinforcement Learning - NeuroSymbolic AI - Trustworthy AI.
May 19, 2023 · Bo Liu. Email: benjaminliu.eecs [at] gmail [dot] com. I am a Ph.D. student at National University of Singapore in Department of Computer Science. My research interest lies in the intersection of Reinforcement Learning, Reasoning and ML Systems with their applications in complex, real-world environments.
Automated high-frequency observations of physical activity using computer vision. JA Carlson, BO Liu, JF Sallis, JA Hipp, VS Staggs, J Kerr, A Papa, K Dean, ... Medicine and science in sports...
