Gene Wen

Senior Research Scientist, NYU Shanghai
Email
jw9263@nyu.edu
Homepage Link
https://cs.shanghai.nyu.edu/faculty/gene-wen-wenjiangtao
Jiangtao (Gene) Wen received his BS, MS, and Ph.D. degrees with honors in Electrical Engineering from Tsinghua University in 1992, 1994, and 1996. From 1996 to 1998, he was a Research Fellow at UCLA, where his multimedia coding inventions were adopted by standards such as H.263, MPEG, and H.264, and licensed to Samsung in one of UCLA Engineering’s largest patent deals.

He co-founded and led technology efforts in several startups acquired by major companies, including NTT DoCoMo, Maxim, Dell, Allot, and Facebook (Meta). His work on mobile video, low-power ASICs, storage, and wireless streaming technologies now serves over 2 billion users globally.

From 2009 to 2022, Dr. Wen was a tenured Full Professor at Tsinghua University’s Computer Science Department and a Visiting Professor at Princeton in 2010–2011. He has authored influential papers and over 130 granted patents. His honors include the IEEE Trans. CSVT Best Paper Award (2010), NSFC Distinguished Young Scientist Grant (2011), IEEE Capocelli Prize (2018), Google Faculty Award (2018), multiple gold medals at Geneva Invention Salon, Red Dot Best of the Best (2020), ESI Top 1% Paper, and the Frost & Sullivan Global Enabling Technology Leadership Award (2016). Dr. Wen was elected an IEEE Fellow in 2011 and named a Forbes Global Chinese 100 honoree in 2023. He is also a Life Fellow of the Royal Society of the Arts and an active angel investor in high-tech ventures. 

Selected Publications:

  • "Structured prefix codes for quantized low-shape parameter generalized Gaussian sources", J. Wen, J. Villasenor, IEEE Trans. Information Theory, Vol. 45, No. 4, pp. 1307-1314.
  • "A format-compliant configurable encryption framework for access control of video", J. Wen, M. Severa, W. Zeng, M. Luttrell, W. Jin, IEEE Trans. CSVT, Vol. 12, No.6, pp. 545-557.
     
  • "Secure arithmetic coding", H. Kim, J. Wen, J. Villasenor, IEEE Trans. Signal Processing, Vol. 55, No.5, pp. 2263-2272.
  • "A framework for heuristic scheduling for parallel processing on multicore architecture: a case study with multiview video coding", Y. Pang, L. Sun. J. Wen, F. Zhang, WD. Hu, W. Feng, S. Yang, IEEE Trans. CSVT, Vol. 19, No. 11, pp. 1658-1666.
  • "Rate constrained optimized training of large language models", ICML 2025

Education:

1996 Ph.D, Tsinghua University

1994 MS Tsinghua University

1992 BS Tsingha University

Research Interests

Efficient machine learning systems, multimedia compression and coding, signal processing for communications and storage, hardware-aware AI optimization