鲁国，上海交通大学电子工程系长聘教轨副教授、博士生导师。主要研究方向是视频编码与多媒体处理。在IEEE T-PAMI/T-IP及CVPR/ECCV/ICCV等上发表论文50余篇。作为项目负责人先后承担自然基金委青年、面上、重点子课题、重点研发子课题以及华为等企业项目等。担任权威期刊IEEE T-CSVT编委，IJCV等期刊客座编辑，ICLR /NeurIPS等会议领域主席，AVS标准3D医学图象编码组联合召集人，在CVPR/ACMMM 上组织多次智能编码讲习班。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、IEEE WCSP/VCIP等会议论文奖。

1. 视频编码与处理

2. 多模态大模型加速

3. 多媒体通信

1. 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

2. 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

3. 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

4. 科技部，重点研发青年项目，意图驱动的智简编码传输机理，2024.2027.11, 参与单位负责人

5. 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

6. 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

7. 华为技术有限公司，校企合作项目，极低码率高清人脸视频编解码技术，2025.10-2026.9，主持

8. 平头哥半导体，校企合作项目，视频编码前处理与复杂度控制，2023.02-2024.02，主持

·       Wenjun Zhang, Guo Lu, Zhiyong Chen, GY Li, Generative Video Communications: Concepts, Key Technologies, and Future Research Trends, Engineering(中国工程院院刊), 2025.

·       Yunuo Chen, Zezheng Lyu, Bing He, Ning Cao, Gang Chen, Guo Lu, Wenjun Zhang，Knowledge Distillation for Learned Image Compression. ICCV 2025 (Oral).

·       Chuqin Zhou, Guo Lu, Jiangchuan Li, Xiangyu Chen, Zhengxue Cheng, Li Song, Wenjun Zhang, Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression, AAAI, 2025.

·       Yuan Tian, Xiaoyue Ling, Cong Geng, Qiang Hu, Guo Lu, and Guangtao Zhai, SMC++: Masked Learning of Unsupervised Video Semantic Compression. T-PAMI, 2025.

·       Chunyi Li, Yuan Tian, Xiaoyue Ling, et al. Image Quality Assessment: From Human to Machine Preference. CVPR,2025 (Highlight).

·       A Li, W Jin, J Tong, P Qin, W Li, G Lu. Towards Trustworthy Multimodal Moderation via Policy-Aligned Reasoning and Hierarchical Labeling. KDD, 2025.

·       HL Qin, S Wang, G Lu, J Dai.Neural Hamiltonian Deformation Fields for Dynamic Scene Rendering. SIGGRAPH Asia, 2025. 

·       D Feng, Z Cheng, S Wang, R Wu, H Hu, G Lu, L Song, Linear Attention Modeling for Learned Image Compression. CVPR, 2025.

·       J Zhang, Z Cheng, Y Zhao, S Wang, D Zhou, G Lu, L Song, L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression, AAAI, 2025.

·       C Zhu, G Lu, B He, R Xie, L Song, Implicit-explicit Integrated Representations for Multi-view Video Compression, IEEE Transactions on Image Processing, 2025.

·       Q Hu, Q He, H Zhong, G Lu, X Zhang, G Zhai, Y Wang，VARFVV: View-Adaptive Real-Time Interactive Free-View Video Streaming with Edge Computing，IEEE Journal on Selected Areas in Communications,2025.

·       Yuan Tian, Guo Lu, Guangtao Zhai, Free-VSC: Free Semantics from Visual Foundation Models for Unsupervised Video Semantic Compression, ECCV 2024.

·       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.

·       G Lu, X Ge, T Zhong, Q Hu, J Geng， Preprocessing enhanced image compression for machine vision， T-CSVT, 2024.

·       Z Zhang, G Lu, H Liang, Z Cheng, A Tang, L Song, Rate-aware Compression for NeRF-based Volumetric Video, ACMMM(Oral), 2024

·       T Zhong, Z Zhang, G Lu, Y Yuan, YP Wang, G Wang, TVM: A Tile-based Video Management Framework, VLDB, 2024.

·       Y. Zhang, G. Lu, Y. Chen, S. Wang, Y. Shi, J. Wang, L. Song. Neural Rate Control for Learned Video Compression. ICLR, 2024.

·       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.

·       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.

·       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.

·       Y. Tian, G. Lu, G. Zhai, Z. Gao. Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic Compression. ICCV, 2023.

·       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.

·       G Lu, T Zhong, J Geng, Q Hu, D Xu, Learning Based Multi-Modality Image and Video Compression, CVPR2022.

·       Z Chen, G Lu, Z Hu, S Liu, W Jiang, D Xu, LSVC: A Learning-Based Stereo Video Compression Framework, CVPR2022.

·       Z Hu, G Lu, J Guo, S Liu, W Jiang, D Xu, Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction, CVPR2022.

·       W Shen, M Cheng, G Lu, G Zhai, L Chen, MS Asif, Z Gao, Spatial temporal video enhancement using alternating exposures, T-CSVT, 2021.

·       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)

·       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).

·       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)

·       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)

·       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%)

·       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%)

·       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)

·       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)

·       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%)

·       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)

·       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)

·       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)

1. 本科生 《视频编码与通信》

2. 研究生 《网络多媒体技术》

1. IEEE视觉信号处理与通信新星奖

2. 中国科协青年人才托举工程

3. 中国图象图形学学会优秀博士论文奖

4. 上海交通大学优秀博士论文奖

5. 应急管理科技创新奖（二等奖）

6. IEEE WCSP最佳论文奖(2025)

7. IEEE VCIP最佳学生论文奖亚军(2024)

8. Stanford/Elsevier World's Top 2% Scientists(2025)