 | Dr. Ming Lu (陆 明) |
Biography
I am an associate researcher at Vision Lab, Nanjing University. I received my B.S. and Ph.D. degrees from the School of Electronic Science and Engineering, Nanjing University (Supervisor: Prof. Zhan Ma) in 2016 and 2023 respectively. My research interests include image/video processing and deep learning, especially for learned image and video compression.Selected Publications
(#Co-first Author, *Corresponding Author)[5] X. Li, J. Zhang, J, Shi, M. Lu*, and Z. Ma, ''YODA: Yet Another One-step Diffusion-based Video Compressor'', IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Jul. 2026.
[4] J. Shi, Z. Chen, H. Li, Q. Zhao, M. Lu*, T. Chen, and Z. Ma, ''On Quantizing Neural Representation for Variable-Rate Video Coding'', The Thirteenth International Conference on Learning Representations (ICLR), in Singapore, Apr. 2025. (Spotlight)
[3] H. Sha, M. Dong, Q. Luo, M. Lu*, H. Chen, and Z. Ma, ''Towards Loss-Resilient Image Coding for Unstable Satellite Networks'', The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), in Philadelphia, Pennsylvania, USA, Feb. 2025. (Oral)
[2] X. Zhang, P. Guo, M. Lu*, and Z. Ma, ''All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation'', The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), in Vancouver, Canada, Dec. 2024.
[1] M. Lu, Z. Duan, F. Zhu, and Z. Ma*, ''Deep Hierarchical Video Compression'', The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), in Vancouver, Canada, Feb. 2024.
Service
CSIG图像视频通信专委会，委员，2025年至今
CCF容错计算专委会，执行委员，2025年至今
Honors and Awards
ChinaMM, Best Paper Award, 2025
The 20th International Forum of Digital Multimedia Communication, Best Paper Award, 2023
IEEE Winter Conference on Applications of Computer Vision, Best Paper - Algorithms, 2023
IEEE MMSP Grand Challenge, Best Performing Image Coding Solution, 2020
IEEE International Conference on Image Processing, Top 10% Papers, 2019
ACM SIGCOMM Student Research Competition, Finalist, 2018