Shuo Liu (刘 硕)

M.S. CS/DS

Email:[shuo.l AT columbia.edu]
Google Scholar

Bio

Shuo Liu is pursuing his M.S. Data Science degree in the Fu Foundation Engineering School at Columbia University, NY. Before that, he received M.S. degree in Computer Science from Columbia coworked with Prof. Sharon Di in 2022, and B.E. degree in Software Engineering from Sun Yat-sen University (中山大学), Guangzhou, China, in 2020, supervised by Prof. Wuhui Chen in InplusLab.

His research interest broadly lies in the areas of artificial intelligent, game theory and reinforcement learning. Some specific topics such as intelligent transportation system, mean-field game, and multi-agent reinforcement learning are highly involved.

Education

• M.S.  Columbia University,  Jan. 2021 - Now
  Supervisor: Prof. Sharon Di.
  

• B.E.  Sun Yat-sen University,  Sep. 2015 - Jun. 2020
  Supervisor: Prof. Wuhui Chen.
  

Publications

• [~IJCAI]  Learning Dual Mean Field Games on Graphs.
  Xu Chen, Shuo Liu, Sharon Di.
  

• [AAMAS]  A Hybrid Framework of Reinforcement Learning and Physics-Informed Deep Learning for Spatiotemporal Mean Field Games.
  Xu Chen, Shuo Liu, Sharon Di.
  in 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS'23).
  (CCF-B).
  

• [ITSC]  SMART-eFlo: An Integrated SUMO-Gym Framework for MultiAgent Reinforcement Learning in Electric Fleet Management Problem.
  Shuo Liu, Yunhao Wang, Xu Chen, Yongjie Fu, Sharon Di.
  in 25th IEEE International Conference on Intelligent Transportation Systems (ITSC'22).
  

• [TSC]  SocialChain: Decoupling Social Data and Applications to Return Your Data Ownership.
  Ting Cai, Zicong Hong, Shuo Liu, Wuhui Chen, Zhen Zheng, Yang Yu.
  in IEEE Transactions on Services Computing (TSC), 2021.
  

  (CCF-A, JCR Q1).
  

• [SciPy]  Boost-histogram: High-Performance Histograms as Objects.
  Henry Schreiner, Hans Dembinski, Shuo Liu, Jim Pivarski.
  in Proceedings of the 19th Python in Science Conference (SciPy'20).
  

  (Boost Histogram, Hist).
  

• [ISCID]  Application of Blockchain in IoT Data Trust and Information Available Technology.
  Shuo Liu.
  in 12th International Symposium on Computational Intelligence and Design (ISCID'19).
  

• [ISPA]  Perishable Digital Goods Trading Mechanism for Blockchain-based Vehicular Network.
  Rui Xi, Kang Liu, Shuo Liu, Wuhui Chen, Shenghui Li.
  in 17th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA'19).
  

  (CCF-C).
  

Teaching

• Course Assistant, COSR 4246 Algorithm for Data Science, Fall 2021.

• Course Assistant, COMS 4231 Analysis of Algorithms, Spring 2022.

• Course Assistant, COMS 4995 Empirical Methods for Data Science, Fall 2022.

Sponsors

I sincerely thank these sponsors for providing financial support for my research: