Jingchao Ni


Assistant Professor
  Department of Computer Science, University of Houston,
   3551 Cullen Blvd PGH 594, Houston, TX 77204
  jni7 [at] uh [dot] edu | Google Scholar | DBLP | LinkedIn

Short Bio

I am an Assistant Professor in the Department of Computer Science at the University of Houston. Prior to this, I was a researcher at the Data Science Department of NEC Labs from 2018 to 2022 and the AWS AI Labs from 2022 to 2024. I received my Ph.D. degree from College of IST, The Pennsylvania State University in 2018, advised by Prof. Xiang Zhang. My research is centered around machine learning, data science and artificial intelligence, with a focus on the development of robust and adaptable machine learning models in data-constrained scenarios, for reliable inference in environments and tasks that are subject to change. I am particularly interested in modeling the dynamics and structure of data, with research objects of time-varying data, including time series (e.g., sensor signals) and streaming entities (e.g., patients), and graph-structured data, including networks (e.g., bio-networks) and structured entities (e.g., molecules). My research on them has been extended to applications in healthcare (including personalized healthcare, press coverage: Science Japan, KeguanJP), biomedicine, cyber-physical systems, AIOps (e.g., deployed in AWS cloud systems), e-commerce and finance, and published in refereed conferences (e.g., ICLR, ICML, NeurIPS, AAAI, CVPR, KDD, WWW) and journals (e.g., IEEE TKDE, ACM TKDD), with more than 20 patents filed or granted.

Research Interests

News

[Prospective Students] I am looking for self-motivated Ph.D. students to work together on machine learning and data science research. There are multiple fully funded RA/TA positions in my group starting from Spring 2025. If you are interested, please drop me an email at jni7 [at] uh [dot] edu with your CV/resume, transcripts and any materials that you think are helpful.


Selected Publications

Full List | Google Scholar | DBLP

indicates equal contribution, indicates interns / students I have advised.

Professional Services