 | 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.Research Projects
国家自然科学基金，青年基金项目，网络友好的层级智能视频压缩，2025.01-2027.12，在研，主持
江苏省基础研究计划自然科学基金，青年基金项目，面向极限弱网环境下任务可控的图像压缩技术研究，2024.07-2027.06，在研，主持
江苏省基础研究计划自然科学基金，重点项目，面向低照度自动驾驶的感存算一体集成方法研究，2024.07-2027.06，在研，核心参与
Selected Publications
(# Co-first Author, * Corresponding Author)[5] J. Shi, M. Jiang, M. Lu*, T. Chen, X. Cao, and Z. Ma, “HINER: Neural Representation for Hyperspectral Image”, ACM International Conference on Multimedia (ACM MM), in Melbourne, Australia, Oct. 2024.
[4] M. Lu, Z. Duan, F. Zhu, and Z. Ma*, “Deep Hierarchical Video Compression”, AAAI Conference on Artificial Intelligence (AAAI), in Vancouver, Canada, Feb. 2024.
[3] J. Shi#, M. Lu#, and Z. Ma*, “Rate-Distortion Optimized Post-Training Quantization for Learned Image Compression”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 34, no. 5, pp. 3082-3095, May 2024.
[2] 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.
[1] M. Lu, T. Chen, Z. Dai, D. Wang, D. Ding, and Z. Ma*, “Decoder-side Cross Resolution Synthesis for Video Compression Enhancement”, IEEE Transactions on Multimedia (TMM), vol. 25, pp. 2097-2110, Jun. 2023.
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 Open Journal of Circuits and Systems (OJCAS).
IEEE International Conference on Multimedia and Expo (ICME), 2023.
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.