鲁国，上海交通大学电子工程系助理教授、博士生导师。2020年博士毕业于上海交通大学，主要研究方向是视频编码。在IEEE T-PAMI/T-IP及CVPR/ECCV/ICCV等上发表论文30余篇。作为项目负责人先后承担自然基金委青年、面上以及华为、平头哥等企业项目，参与自然基金重点、科技部重点研发计划项目等。担任权威期刊IJCV，IEEE T-CSVT客座编辑，在 CVPR/ACMMM 上组织多次智能编码tutorial，担任AAAI-2022 Senior PC, 担任AVS标准3D医学图象编码组联合召集人。入选中国科协青年人才托举工程，获首届IEEE视觉信号处理与通信新星奖，中国图象图形学学会优秀博士论文奖，上海交通大学优秀博士论文奖。

视频压缩编码与处理

1. 智能视频压缩编码；

2. 3D视觉建模与分析；

3. 语义通信；

1. IEEE视觉信号处理与通信新星奖

2. 中国图象图形学学会优秀博士论文奖

3. 上海交通大学优秀博士论文奖

1. 本科生 《视频编码与通信》

2. 研究生 《网络多媒体技术》

国家自然科学基金委员会，青年基金，自适应的智能视频压缩编码算法研究，2022.01-2024.12，主持

国家自然科学基金委员会，面上，基于神经辐射场的沉浸式视频编码关键技术研究，2025.01-2028.12，主持

国家自然科学基金委员会，重点，基于多智能体协同学习的屏幕混合内容编码理论与方法 ，2024.01-2027.12，参与单位负责人

华为技术有限公司，校企合作项目，视频编码算法研究项目，2022.11-2023.11，主持

华为技术有限公司，校企合作项目，低比特率视频编码算法研究项目，2024.7-2025.7，主持

Senior Program Committee member, AAAI Conference on Artificial Intelligence(AAAI), 2022.

Guest Editor, International Journal of Computer Vision(IJCV), 2020.

Guest Editor, IEEE Transactions on Circuits and Systems for Video Technology(T-CSVT), 2021.

Publication Chair, International Workshop on Machine Learning for Signal Processing(MLSP), 2021.

Tutorial Organizer, ACM Multimedia, 2021.

Tutorial Organizer, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Tutorial Organizer, IEEE International Conference on Visual Communications and Image Processing (VCIP), 2020.

T-PAMI/T-IP/T-CSVT/T-MM 等期刊以及ICCV/ECCV/CVPR/ICML/NIPS 等国际会议的审稿人.

1. Yuan Tian, Guo Lu, Guangtao Zhai, Free-VSC: Free Semantics from Visual Foundation Models for Unsupervised Video Semantic Compression, ECCV 2024.
2. X Zhang, X Ge, T Xu, D He, Y Wang, H Qin, G Lu, J Geng, J Zhang， GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting， ECCV, 2024.
3. G Lu, X Ge, T Zhong, Q Hu, J Geng， Preprocessing Enhanced Image Compression for Machine Vision， T-CSVT, 2024.
4. Z Zhang, G Lu, H Liang, Z Cheng, A Tang, L Song, Rate-aware Compression for NeRF-based Volumetric Video, ACMMM, 2024
5. T Zhong, Z Zhang, G Lu, Y Yuan, YP Wang, G Wang, TVM: A Tile-based Video Management Framework, VLDB, 2024.
6. Y. Zhang, G. Lu, Y. Chen, S. Wang, Y. Shi, J. Wang, L. Song. Neural Rate Control for Learned Video Compression. ICLR, 2024.
7. X.Ge,  J. Luo,  X. Zhang, T. Xu, G. Lu, D. He, J. Geng, Y. Wang.  J. Zhang, H. Qin.  Task-aware Encoder Control for Deep Video Compression. CVPR, 2024.
8. C. Zhu, G. Lu, H. Chen, D. Feng, S. Wang, Y. Zhao, R. Xie, L. Song. A Character Position-aware Compression Framework for Screen Text Content. T-CSVT, 2024.
9. Y. Tian, G. Lu, Y. Yan, G. Zhai, L. Chen, Z. Gao. A Coding Framework and Benchmark towards Low-Bitrate Video Understanding.  T-PAMI, 2024.
10. Y. Tian, G. Lu, G. Zhai, Z. Gao. Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic Compression. ICCV, 2023.
11. T Tang, L Li, X Wu, R Chen, H Li, G Lu, L Cheng, TSA-SCC: text semantic-aware screen content coding with ultra low bitrate, T-IP,2022.
12. G Lu, T Zhong, J Geng, Q Hu, D Xu, Learning Based Multi-Modality Image and Video Compression, CVPR2022.
13. Z Chen, G Lu, Z Hu, S Liu, W Jiang, D Xu, LSVC: A Learning-Based Stereo Video Compression Framework, CVPR2022.
14. Z Hu, G Lu, J Guo, S Liu, W Jiang, D Xu, Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction, CVPR2022.
15. W Shen, M Cheng, G Lu, G Zhai, L Chen, MS Asif, Z Gao, Spatial temporal video enhancement using alternating exposures, T-CSVT, 2021.
16. Yuan Tian, Guo Lu, Xiongkuo Min, Zhaohui Che,Guangtao Zhai,Guodong Guo,Zhiyong Gao. Self-Conditioned Probabilistic Learning of Video Rescaling. ICCV, 2021.(CCF-A)
17. Zhihao Hu, Guo Lu, Dong Xu. FVC: A New Framework towards Deep Video Compression in Feature Space. IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2021. (CCF-A,Oral).
18. Zizheng Que, Guo Lu, Dong Xu. VoxelContext-Net: An Octree based Framework for Point Cloud Compression. IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2021. (CCF-A)
19. Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang, and Zhenan Sun. Learning 3D Human Shape and Pose from Dense Body Parts. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. (CCF-A)
20. Guo Lu*, Chunlei Cai*, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu, Zhiyong Gao. Content Adaptive and Error Propagation Aware Deep Video Compression in Proceedings of the European Conference on Computer Vision (ECCV), 2020.(CCF-B,Oral, 接受率2%)
21. Zhihao Hu*, Zhenghao Chen*, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu.Improving Deep Video Compression by Resolution-adaptive Flow Coding in Proceedings of the European Conference on Computer Vision (ECCV), 2020.(CCF-B,Oral, 接受率2%)
22. Guo Lu, Xiaoyun Zhang, Wanli Ouyang, Li Chen, Zhiyong Gao, Dong Xu. An End-to-End Learning Framework for Video Compression. in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. (CCF-A)
23. Guo Lu, Xiaoyun Zhang, Wanli Ouyang, Dong Xu, Li Chen, Zhiyong Gao. Deep Non-local Kalman Network for Video Compression Artifact Reduction. in IEEE Transactions on Image Processing (TIP), 2019. (CCF-A)
24. Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao. DVC: An End-to-end Deep Video Compression Framework. in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, 2019. (CCF-A,Oral, 接受率5%)
25. Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang and Zhenan Sun. DaNet: Decompose-andaggregate Network for 3D Human Shape and Pose Estimation, in ACM Multimedia (ACM MM), 2019. (CCF-A)
26. Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Zhiyong Gao, Ming-Ting Sun. Deep Kalman Filtering Network for Video Compression Artifact Reduction in Proceedings of the European Conference on Computer Vision (ECCV), 2018.(CCF-B)
27. Guo Lu, Xiaoyun Zhang, Li Chen, Zhiyong Gao. Novel Integration of Frame Rate Up Conversion and HEVC Coding based on Rate-Distortion Optimization in IEEE Transactions on Image Processing (TIP), 2018. (CCF-A)