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Jianyuan Ni

I recently recieved my Ph.D. in Computer Science at Texas State University (TXST), USA, under the supervision of Prof. Anne H.H. Ngu. I also collaborated with Prof. Martin Burtscher and Prof. Kecheng Yang to refine my teaching skills. Before TXST, I recieved my M.S. in Computer Science from Lamar University, USA, under the supervision of Prof. Jing Zhang.

My research interests are machine learning, ubiquitous computing, and AI4Science. Specifically, I focus on:

  • Efficient AI (e.g., pruning, distillation, quantization, NAS)
  • Multi-modalities Learning
  • Pervasive computing
  • AI for Science

    • Email  /  Google Scholar

    Position Openings

    We have multiple positions for Master/undergraduate researchers. If you are interested in joining our lab, please email me.

    Teaching Experience

  • Instructor: CS1342: Programming for Scientists & Engineers, Spring 2024, TXST.

  • Instructor: CS1342: Programming for Scientists & Engineers, Fall 2023, TXST. (Student Evaluation Result)

  • Instructor: CS1342: Programming for Scientists & Engineers, Spring 2023, TXST. (Student Evaluation Result)

  • Teaching Assistant: CS4328: Operating Systems, Fall 2020 -- Fall 2022, TXST.

  • Teaching Assistant: CS 5331 Image Processing, Fall 2019, Lamar University.

  • Teaching Assistant: CS 5330 Advanced Multimedia Processing, Summer 2019, Lamar University.

  • Teaching Assistant: CS 5313 Analysis of Algorithms, Spring 2019, Lamar University.

    • Professional Services

  • Young Editorial Board Member: Data Science and Management (DSM), 2022-2024.

  • Program Committee for the 10th IEEE International Conference on Data Science and Advance Analytics (DSAA-2023). DSAA Ranking: A (Source: CORE2021)

  • Program Committee for the 18th International Conference on Machine Vision Applications (MVA), 2023.

  • External Reviewer for multiple international journals and conferences such as TAFFC, TIP, TMM, TOMM, TNNLS, CVIU, TMI, TKDE, TCSVT, TETCI, CYB-E, Neurocomputing and etc.