Bo Liu

Bo Liu is an associate professor in the ECE department. He holds a PhD from the University of Massachusetts Amherst. He previously worked at Amazon Research, Auburn University, and Philips Research. Liu researches decision-making and neural-symbolic artificial intelligence. He is a senior member of  the Institute of Electrical and Electronics Engineers (IEEE) and the Association for the Advancement of Artificial Intelligence (AAAI), and an associate editor of Machine Learning Journal (Springer). He has co-authored over 25 journal papers, 20 conference papers, and one patent application.

Degrees

• PhD Computer Science, University of Massachusetts, Amherst
• MS Computer Science, Stevens Institute of Technology
• MS Control Engineering, University of Science and Technology of China

Teaching Interests

AI, machine learning and data analysis

Research Interests

Reinforcement learning and control, explainable AI, safe AI

Most Significant Publications

• Lyu, D., Yang, F., Liu, B., & Gustafson, S. (2019, July). SDRL: interpretable and data-efficient deep reinforcement learning leveraging symbolic planning. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33, No. 01, pp. 2970-2977).
• Liu, B., Liu, J., Ghavamzadeh, M., Mahadevan, S., & Petrik, M. (2020). Finite-sample analysis of proximal gradient td algorithms. arXiv preprint arXiv:2006.14364.

Awards

• 2023 AAAI Senior Membership election
• 2022 Best and Visionary Paper Award at AAMAS-22
• 2018 Amazon Research Award, Amazon Inc.
• 2017 Tencent Rhino-Bird Award, Tencent AI Lab
• 2015 Facebook Best Student Paper Award of UAI 2015