Dr. Song got his bachelor degree in economics and finance from the University of Hong Kong and his Ph.D. in economics from University of California, Los Angeles. He joined the School of Management and Economics of CUHK (SZ) in August 2016. His research interests include game theory and its applications, information economics and network economics.


I am primarily interested in information transmission among rational Bayesian agents in networks and other economic institutions. My current research focuses on social learning and information transparency, as well as their applications in industrial organizations. Please see my working papers and work in progress for more details.

Awards and Honors
  • 2019
  • 2018
  • 2017
  • 2014
  • 2011
  • 01


    Young Scientists Fund of the National Natural Science Foundation of China (Grant No. 71803167)

  • 02


    Outstanding Paper in Finance by the Shenzhen Finance Association

  • 03


    Shenzhen Global Talent Award (“Peacock Program”)

  • 04


    Dissertation Year Fellowship, UCLA

  • 05


    Teaching Assistantship, UCLA, 2011 – 2014

Academic Publications


1. “Repeated Network Games with Dominant Actions and Individual Rationality,” with Mihaela van der Schaar, forthcoming in IEEE Transactions on Network Science and Engineering
2. “The governance role of institutional investors in information disclosure: Evidence from institutional investors’ corporate visits,”, with Yuchen Lin and Jinsong Tan, Nankai Business Review International, 8(3) (2017), 304-32.
3. “Social Learning with Endogenous Observation,” Journal of Economic Theory, 166 (11) (2016): 324-333.
4. “Dynamic Network Formation with Incomplete Information,” with Mihaela van der Schaar, Economic Theory, 59(2) (2015): 301-331.
5. "Sharing in Networks of Strategic Agents," with Jie Xu and Mihaela van der Schaar, IEEE J. Sel. Topics Signal Process. – Special Issue on "Signal Processing for Social Networks" 8(4) (2014): 717-731.
6. "Incentivizing Information Sharing in Networks," with Jie Xu and Mihaela van der Schaar, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).

1. “Viral Social Learning”, with David McAdams
2. “Dynamic R&D Competition under Uncertainty and Strategic Disclosure”, with Mofei Zhao, under review
3. “Dynamic Network Formation with Foresighted Agents,” with Mihaela van der Schaar, under review
4. “Finitely Repeated Games with Learning of Actions,” with Mofei Zhao
5. “Optimal Sequence for Teamwork,” with Zhuoran Lu, under review
6. “Innovate or Expand: A Reputational Theory,” with Mofei Zhao
7. “Why Scientists Chase Big Problems/Hot Topics: Individual Strategy and Social Optimality,” with Jacob Foster and Carl Bergstrom
1. “Divide and Deter: One-to-many Private Persuasion,”with Mofei Zhao
2. “Social Learning with Network Externalities,”with Jiahua Zhang