Tianshu Yu

Tianshu Yu 

Assistant professor, [CV]

School of Data Science

The Chinese University of Hong Kong, Shenzhen

Email: yutianshu [at] cuhk [dot] edu [dot] cn

Address: Daoyuan building 420c, CUHKSZ


Ph.D. student recruitment

I am always looking for highly self-motivated Ph.D. students with solid mathematical background and programming skill to join my group. Currently I still have available slot for Ph.D. starting Fall2022. Potential research topics includes (but not limited to):

  • Machine learning for combinatorial problems
  • Efficient sampling
  • Learning for sequential data
Tuition and competitive stipend will be fully covered. Contact me by email if you are interested. Please attach your CV, all transcripts (undergraduate/graduate level) and research interest in your email.
There are two Ph.D. programs you can apply: Ph.D in Computer and Information Engineering (See HERE) and Ph.D. in Data Science (See HERE). Application entries for both starting Fall2022 are still open.

PostDoc and RA recruitment

I am also recruiting PostDoc and RA starting anytime. For PostDoc, background on the following fields is particularly expected:

  • Machine learning for discrete structure
  • Mixed integer programming
  • Multi-stage stochstic optimization
Contact me by email if you are interested. Please attach your CV.

Short Bio

I joined SDS@CUHKSZ as an assistant professor on Sep, 2021. Previously I got my Ph.D. in computer science at Arizona State University, advised by professor Baoxin Li.

My research interest covers several aspects of machine learning and discrete optimization. Generally, I like investigating theory and applications on machine learning of combinatorial problem on graph, and seeking its interpretation under deep learning framework. My long-term goal is to make graph/combinatorial learning and optimization scalable, reliable and flexible.




Honors and Awards