 | 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] 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, 5.1%)
[4] 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, CCF-A)
[3] 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. (CCF-A)
[2] 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. (CCF-A)
[1] Z. Duan#*, M. Lu#, J. Ma, Y. Huang, Z. Ma, and F. Zhu, "QARV: Quantization-Aware ResNet VAE for Lossy Image Compression'', IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 1, pp. 436-450, Jan. 2024. (CCF-A, IF=20.8)
Service
I am/was invited reviewer for the following journals:IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
IEEE Transactions on Multimedia (TMM)
IEEE International Conference on Machine Learning (ICML), 2025
IEEE International Conference on Multimedia and Expo (ICME), 2023, 2025
Honors and Awards
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