Yongwhan Lim Faculty Profile

Yongwhan  Lim


Department of Computer Science

I am entering my 5th year as a software engineer at Google. I currently work on Brain Research on Deep Learning (50%) and TensorFlow Runtime (50%). As a part-time lecturer, I teach in multiple places including CSU System, Harvard, and UC System. I finished my undergraduate education at Stanford University with a double major in mathematics and computer science. Then, I pursued a doctorate program in operations research at MIT for about three years before joining Google.

  • Computer Science MS, Stanford University
  • Mathematics BS, Stanford University
  • Computer Science BS, Stanford University
  • Operations Research PhD (on a leave), MIT

Not teaching this semester.

  • Yongwhan Lim, Asuman Ozdaglar, and Alexander Teytelboym. Competitive Rumor Spread in Social Networks. ACM SIGMETRICS Performance Evaluation Review 44.3 (2017): 7-14. [PDF]
  • Li-Jia Li*, Chong Wang*, Yongwhan Lim, and Li Fei-Fei. Object Bank: An Object-Level Image Representation for High-Level Visual Recognition. International Journal of Computer Vision (IJCV). 2013. (*indicates equal contribution) [PDF]
  • Li-Jia Li*, Chong Wang*, Yongwhan Lim, David Blei, and Li Fei-Fei. Building and Using a Semantivisual Image Hierarchy. IEEE Computer Vision and Pattern Recognition (CVPR). 2010. (*indicates equal contribution) [PDF]
  • Li-Jia Li*, Hao Su*, Yongwhan Lim, and Li Fei-Fei. Objects as Attributes for Scene Classification. Proceedings of the 12th European Conference of Computer Vision (ECCV), 1st International Workshop on Parts and Attributes. 2010. (*indicates equal contribution) [PDF]

A Simple Model of Cascades in Networks

  • 2014 INFORMS (Talk)
  • 2015 LIDS Student Conference (Talk)

Competition over Product Diffusion in Social Networks

  • 2014 INFORMS (Talk)
  • 2015 LIDS Student Conference (Poster)