Yiming Gan, URCS Grad Student

Picture of me

I am a second year Ph.D. student in the Department of Computer Science at the University of Rochester.

I work with Prof. Yuhao Zhu. Currently we are focusing on designing faster and more energy efficient hardware for existing continuous vision and robitic applications. I'm also interested in robust deep learning and design automation.

Before joining URCS, I got my Master's degree in Electrical and Computer Engineering Department at University of California, Santa Barbara and my Bachelor's degree in School of Information and Electronics at Beijing Institute of Technology.


  1. Yiming Gan , Yuxian Qiu, Jingwen Leng, and Yuhao Zhu.
    SVSoC:Speculative Vision Systems-on-a-Chip In Computer Architecture Letters (CAL),2019
  2. Igor Fedorov, Marko Stamenovic, Carl Jensen, Li-Chia Yang, Ari Mandell, Yiming Gan , Matthew Mattina, Paul N. Whatmough.
    TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids In INTERSPEECH 2020
  3. Yiming Gan , Yuxian Qiu, Lele Chen, Jingwen Leng, and Yuhao Zhu.
    Low-Latency Proactive Continuous Vision In 29th International Conference on Parallel Architectures and Compilation Techniques (PACT'20)
  4. Yiming Gan * , Yuxian Qiu *, Jingwen Leng, Minyi Guo, and Yuhao Zhu. (*: equal contribution.)
    Ptolemy: Architecture Support for Robust Deep Learning In 53rd IEEE/ACM International Symposium on Microarchitecture (MICRO'2020)

Working Experience

  1. Research Intern @ ARM, Machine Learning Group.
    Working on topics related to Network Architecture Search (NAS) on smart hearing applications.

Workshops and Tutorials

  1. Tutorial on SoC Modeling and Infrastructure.
    Held in Asplos 2019, ISCA 2019 and IISWC 2018.

About me

I'm a die hard Lakers fan and I support AC Milan. I love reading and movies. I'm a big fan of Harry Potter series, both fictions and movies. I play League of Legends. The best TV series among my opinion is FRIENDS. I love photography and Alex Webb is one of my favorite photographers.


URCS People | URCS Home Page