Hugh (Yin) Liu

Hugh (Yin) Liu

Last updated: Oct 2024.

I'm a software engineer at Google. I'm broadly interested in advanced algorithms, computational complextity (especially in counting problems), machine learning, augmented reality and advanced modeling and simulation.

I support slow science.

Prior to joining Google, I received my Ph.D. in Computer Sciences from University of Wisconsin-Madison, where I was in the Theory Group and fortunate to be advised by Professor Jin-Yi Cai. Before joining UW-Madison, I received my B.Eng. in Automation from Department of Automation at Tsinghua University. During my graduate studies, I interned at Google and SiriusXM, working on various projects. During my undergraduate studies, I interned at Cornell University, where I was luckily advised by Professor John E. Hopcroft and Dr. Gao Huang.



Contact
  • Work Email: hughliu AT google DOT com
  • Personal Email: yinl AT cs DOT wisc DOT edu
Education
  • University of Wisconsin - Madison    2018 - 2023
    Ph.D. in Computer Science
    Minor in Mathematics

  • Tsinghua University                2014 - 2018
    B.Eng. in Automation
Internships
  • Google,          Sunnyvale, CA, 2023 summer.

  • Google,        Mountain View, CA, 2022 summer.

  • SiriusXM-Pandora,         remotely, 2021 summer.

  • Cornell University,            Ithaca, NY, 2017.

Publications(* - alphabetical authorship)

           Yin Liu (single author). COCOON 2024.

           Yin Liu, Austen Z. Fan and Jin-Yi Cai. COCOA 2023.

           Invited to Special Issue.

           Journal version in Theoretical Computer Science, 2025.

           Jin-Yi Cai, Austen Z. Fan and Yin Liu. FCT 2021.

           Invited to Special Issue.

           Journal version in Journal of Computer and System Sciences, 2023.

  • Adopting Linear Model to Accelerate Neural Network Training

           Yin Liu, Junyi Wei, Zijun Ma, Hanying Jiang and Yihan Zhang. MMLS 2019.

            Jiahui Huang, Jun Gao, Vignesh Ganapathi-Subramanian, Hao Su, Yin Liu, Chengcheng Tang and Leonidas Guibas. CVM 2019.

           Wenxun Zheng, Yin Liu, Zhen Chen and Junwei Cao. ANCS 2017.



Scholarship & Honors
  • Summer RA-ship Award, UW-Madison, 2019
  • Special CS Scholarship, UW-Madison, 2018
  • Science and Technology Innovation Excellence Award, Tsinghua University, 2017
  • Hage Scholarship for Excellent Performance, Dept of Automation, Tsinghua University, 2016, 2017
  • Ronghua Zhang Scholarship for Excellent Academic Performance, Tsinghua University, 2015
  • 1st prize in Chinese Mathematical Olympiad in province, 2013
  • 1st prize in Chinese Physics Olympiad in province, 2013
Miscellaneous
  • I race go-karts and is the runner-up inside the work team.
  • I love playing sports, especially soccer, tabata core, table-tennis, running and figure roller skating.
  • I also play tennis, basketball, swim and do decathlon training from time to time.
  • I have a rank of top 8 in both 8-ball and 9-ball games in Madison, WI. Moreover, I am the runner-up in the 8-ball games among Chinese students.
  • I had been the Chairman of Tsinghua Alumni Association in Wisconsin (TAAW) for one year.
Authored Publications
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    Preview abstract On the Boolean domain, there is a class of symmetric signatures called “Fibonacci gates” for which a beautiful P-time combinatorial algorithm has been designed for the corresponding Holant problems. In this work, I give a combinatorial view for Holant(F) problems on a domain of size 3 where F is a set of arity 3 functions with inputs taking values on the domain of size 3 and the functions share some common properties. The combinatorial view can also be extended to the domain of size 4. Specifically, I extend the definition of “Fibonacci gates” to the domain of size 3 and the domain of size 4. Moreover, I give the corresponding combinatorial algorithms. View details