Welcome to Jia Li's Homepage!

Jia Li (李嘉)

Associate Professor, School of Artificial Intelligence, Beijing Normal University

📧 jiali.gm AT gmail.com · jiali AT bnu.edu.cn

My research interests include machine learning and numerical optimization. I focus on efficient AI computing for basic education. I am currently developing cost-effective solutions for large-model inference, improving retrieval of large-scale educational resources, and enabling personalized recommendations under strict computational constraints. My goal is to make state-of-the-art AI practical and accessible in resource-limited educational settings, without sacrificing effectiveness. Before joining Beijing Normal University, I was a Boya Postdoctoral Researcher at Peking University, working with Prof. Zhouchen Lin. I received my Ph.D. in Computer Science from Beijing Jiaotong University in 2017, under the supervision of Prof. Zhouchen Lin and Prof. Jian Yu.

🔥 Recruitment

I am recruiting Master’s students and undergraduate research interns!!!

If you are self-motivated, have strong mathematical and coding skills, and are interested in using mathematics to solve real-world problems in an elegant way, please feel free to email me.

📝 Selected Publications

†Corresponding Author

  1. Ziming Yu, Pan Zhou, Sike Wang, Jia Li†, Mi Tian, Hua Huang. Zeroth-order fine-tuning of LLMs in random subspaces. Proceedings of the International Conference on Computer Vision (ICCV), 2025. [pdf]

  2. Sike Wang, Pan Zhou, Jia Li†, Hua Huang. 4-bit Shampoo for memory-efficient network training. Advances in Neural Information Processing Systems (NeurIPS), 2024. [pdf]

  3. Jia Li, Chenyan Bai, Hua Huang. Universal demosaicking for interpolation-friendly RGBW color filter arrays. IEEE Transactions on Image Processing (TIP), Vol. 32, pp.3592-3605, 2023. [pdf]

  4. Jia Li, Mingqing Xiao, Cong Fang, Yue Dai, Chao Xu, Zhouchen Lin. Training neural networks by lifted proximal operator machines. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 44, No.6, 2022. [pdf]

  5. Jia Li, Chenyan Bai, Zhouchen Lin, Jian Yu. Optimized color filter arrays for sparse representation based demosaicking. IEEE Transactions on Image Processing (TIP), 2017, 26(5): 2381-2393. [pdf]

  6. Jia Li, Chenyan Bai, Zhouchen Lin, Jian Yu. Automatic design of high-sensitivity color filter arrays with panchromatic pixels. IEEE Transactions on Image Processing (TIP), 2017, 26(2): 870-883. [pdf]

  7. Chenyan Bai, Jia Li, Zhouchen Lin, and Jian Yu. Automatic design of color filter arrays in the frequency domain. IEEE Transactions on Image Processing (TIP), 2016, 25(4): 1793-1807. [pdf]

  8. Chenyan Bai, Jia Li, Zhouchen Lin, Jian Yu, and Yen-Wei Chen. Penrose demosaicking. IEEE Transactions on Image Processing (TIP), Vol. 24, No. 5, pp. 1672-1684, 2015. [pdf]

🎓 Graduated Students

  1. Sike Wang, Master in 2022, One NeurIPS 2024 paper, Pursuing a Ph.D. at Beijing Normal University.

  2. Ziming Yu, Master in 2023, One ICCV 2025 paper, National Scholarship, Beijing Outstanding Graduate, Ant Group SSP+ Offer.

🌟 Awards

  1. ICIG Outstanding Area Chair, China Society of Image and Graphics, 2025

  2. Capital Frontier Academic Achievement Award, Beijing Association for Science and Technology, 2022

  3. Excellent Doctoral Dissertation Award, Beijing Society of Image and Graphics, 2019

  4. Excellent Doctoral Dissertation Award, Beijing Jiaotong University, 2017

📚 Courses

  1. For Academic Master and Doctor of Philosophy: Optimization Theory and Methods

  2. For Doctor of Engineering: Optimization Theory and Methods

  3. For Undergraduate: Digital Image Processing

🌐 Academic Activities

  1. Reviewer to Journals: IJCV, TIP, TNNLS, PR

  2. Reviewer to Conferences: NeurIPS, ICML, ICLR, ICCV, AAAI, ACM MM, ACL

  3. Area Chair: PRCV 2023-2026, ICME 2026, ICIG 2025/2026

Last updated: Sept. 2026