Ming Lu

Written by  |  25/12/2019 - 15/41


 

Dr. Ming Lu (陆 明)
Associate Researcher
Vision LabNanjing University
Location: Room 311, Building of Electronic, No.163 Xianlin Road, Qixia District, Nanjing, Jiangsu, China
Biography | Research Projects | Selected Publications | Service | Honors and Awards
Email: minglu@nju.edu.cn
[
Google Scholar][GitHub][CV]


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)

I am/was invited reviewer for the following conferences:
  • 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 CommunicationBest Paper Award, 2023

  • IEEE Winter Conference on Applications of Computer VisionBest Paper - Algorithms, 2023

  • IEEE MMSP Grand Challenge, Best Performing Image Coding Solution, 2020

  • IEEE International Conference on Image ProcessingTop 10% Papers, 2019

  • ACM SIGCOMM Student Research Competition, Finalist, 2018