Scholar
Jieren Deng
Google Scholar ID: X11hfvIAAAAJ
Microsoft
Citations & Impact
Citations
345
H-index
8
i10-index
8
Publications
19
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Papers accepted by several important conferences such as ICASSP, ICIP, IJCNN-WCCI, DATE, ICCAD, EMNLP, etc. One paper, 'TinyADC,' was nominated for Best Paper at DATE 2021. Also received Predoctoral Fellowships and the Cigna Graduate Fellowship from UConn CSE.
Research Experience
- Interned at Baidu USA and Oak Ridge National Laboratory. Guest Lecturer for UCONN Graduate Course CSE 5825 Bayesian Machine Learning. Served as a reviewer for multiple international conferences including SIAM Conference on Data Mining (SDM24), IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Education
- Received B.Sc. from Queen Mary University of London (QMUL) and B.A. from Beijing University of Posts and Telecommunications (BUPT) in 2016; M.S. from the University of Texas at Dallas (UTDallas) in 2018; Ph.D. from the School of Computing at the University of Connecticut (UCONN), advised by Professor Derek Aguiar in the EL GATO Lab.
Background
- Currently a Data and Applied Scientist at Microsoft AI. Research interests include Agentic AI/RAG (e.g., AutoGen, Magnetic-One), Spatial Intelligence (e.g., Scene Graph), Efficient AI (e.g., Knowledge Distillation, Weight Pruning, Quantization), and MLLM (e.g., GPT, CLIP, Diffusion Model).
Miscellany
- Personal motto: 'what doesn't kill you makes you stronger'.
Co-authors