Guo Lu

Associate Professor

Shanghai Jiao Tong University

I am a tenure-track Associate Professor (Ph.D. supervisor) in the Department of Electronic Engineering, Shanghai Jiao Tong University. Before joining SJTU, I was an Assistant Professor at the Beijing Institute of Technology (2020–2022). I received my Ph.D. degree in Electronic Engineering from Shanghai Jiao Tong University in 2020. From Sep. 2017 to Mar. 2019, I was a visiting researcher at the University of Sydney, working with Prof. Wanli Ouyang and Prof. Dong Xu. My research interests include video coding, multimedia processing, and efficient multimodal large language models
I serve as an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) and as a Guest Editor for journals including IJCV. I have served as an Area Chair for major ML conferences (e.g., ICLR and NeurIPS), co-lead the AVS working group on 3D medical image coding, and have organized tutorials/workshops on intelligent compression at venues such as CVPR and ACM Multimedia.
My honors include the IEEE Visual Signal Processing and Communications Rising Star Award, best paper awards at conferences such as VCIP/WCSP, and outstanding doctoral dissertation awards (including awards from CSIG and Shanghai Jiao Tong University).
Looking for self-motivated Ph.D./M.S. students, research interns, and postdoctoral fellows to work with me. For prospective applicants, please send your CV/resume and transcript to my email.

中文主页

Recent Publications

More Publications

[Engineering'25] Generative Video Communications: Concepts, Key Technologies, and Future Research Trends

Wenjun Zhang, Guo Lu, Zhiyong Chen, GY Li

Engineering, 2025.

[ICCV'25] Knowledge Distillation for Learned Image Compression(Oral).

Yunuo Chen, Zezheng Lyu, Bing He, Ning Cao, Gang Chen, Guo Lu, Wenjun Zhang

ICCV 2025 .

[AAAI'25] Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression

Chuqin Zhou, Guo Lu, Jiangchuan Li, Xiangyu Chen, Zhengxue Cheng, Li Song, Wenjun Zhang

IEEE Transactions on Image Processing,2022

[TPAMI'25] SMC++: Masked Learning of Unsupervised Video Semantic Compression

Yuan Tian, Xiaoyue Ling, Cong Geng, Qiang Hu, Guo Lu, and Guangtao Zhai

IEEE Transactions on Pattern Analysis and Machine Intelligence,2025

[CVPR'25] Image Quality Assessment: From Human to Machine Preference(Highlight).

Chunyi Li, Yuan Tian, Xiaoyue Ling, Zicheng Zhang, Haodong Duan, Haoning Wu, Ziheng Jia, Xiaohong Liu, Xiongkuo Min, Guo Lu, Weisi Lin, Guangtao Zhai

IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2025. (Oral).

[KDD'25] Towards Trustworthy Multimodal Moderation via Policy-Aligned Reasoning and Hierarchical Labeling

Anqi Li, Wenwei Jin, Jintao Tong, Pengda Qin, Weijia Li, Guo Lu

KDD, 2025.

[T-IP'25] Implicit-explicit Integrated Representations for Multi-view Video Compression

Chen Zhu, Guo Lu, Bing He, Rong Xie, Li Song

IEEE Transactions on Image Processing,2025.

[JSAC'25] VARFVV: View-Adaptive Real-Time Interactive Free-View Video Streaming with Edge Computing

Qiang Hu, Qihan He, Houqiang Zhong, Guo Lu, Xiaoyun Zhang, Guangtao Zhai, Yanfeng Wang

IEEE Journal on Selected Areas in Communications, 2025.

[TPAMI'24] A Coding Framework and Benchmark towards Low-Bitrate Video Understanding

Yuan Tian, Guo Lu, Yichao Yan, Guangtao Zhai, Li Chen, Zhiyong Gao

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

[ICLR'24] Neural Rate Control for Learned Video Compression

Yiwei Zhang, Guo Lu, Yunuo Chen, Shen Wang, Yibo Shi, Jing Wang, Li Song

ICLR, 2024.

[T-CSVT'24] Preprocessing enhanced image compression for machine vision

Guo Lu, Xingtong Ge, Tianxiong Zhong, Jing Geng, Qiang Hu.

IEEE Transactions on Circuits and Systems for Video Technology, 2024.

[ACMMM'24] Rate-aware Compression for NeRF-based Volumetric Video(Oral).

Zhiyu Zhang, Guo Lu, Huanxiong Liang, Zhengxue Cheng, Anni Tang, Li Song

ACM MM, 2024.

Awards

Stanford/Elsevier - World’s Top 2% Scientists, 2025.
IEEE WCSP Best Paper Award, 2025
VCIP Best Student Paper Runner-up, 2024
China Association for Science and Technology Youth Talent Support Program, 2024
IEEE CASS Visual Signal Processing and Communications (VSPC) Rising Star, 2023.
Excellent Doctoral Dissertation Award of China Society of Image and Graphics, 2022
Top Creativity Award in IEEE VCIP Grand Challenge “Practical End-to-end Image Compression”, 2022.
Excellent Doctoral Dissertation Award of Shanghai Jiao Tong University, 2020

Teaching

Undergraduate Course

Video Coding and Communication, 2022 ~ now

Gradudate Course

Multimedia Networking, 2022～ now

Services

Associate Editor, IEEE T-CSVT, 2025
IEEE VSPC-TC Member, 2025
LAC-Technical Program Chairs, ICASSP Satellite Event Suzhou, China. 2025
Area Chair, International Conference on Learning Representations(ICLR), 2025.
Area Chair, Annual Conference on Neural Information Processing Systems(NeurIPS), 2025.
Challenge Organizer, Ultra-low Bitrate Video Compression at VCIP, 2025.
Senior PC, AAAI 2021.
Guest Editor, IJCV special issue on Video Understanding and Video Compression. 2021.
Guest Editor, T-CSVT special issue on Learned Visual Data Compression for both Human and Machine. 2022.
Tutorial Organizer, ACM MM Tutorial on Deep Learning for Visual Data Compression, 2021.
Tutorial Organizer, CVPR Tutorial on Learning for Visual Data Compression, 2021.
Tutorial Organizer, VCIP Tutorial on Learned Image and Video Compression with Deep Neural Networks, 2020.
Tutorial Organizer, IEEE AVSS Tutorial on Deep Learning for Video Compression and Understanding, Taipei, 2019