朱林卫,中国科学院深圳先进技术研究院副研究员。长期从事多媒体信号处理、图像/视频编解码相关研究,研究方向涵盖机器视觉、水下图像/视频增强与压缩、3D 视频编码与处理、虚拟视点渲染、静态/动态点云增强与压缩等领域。

先后主持国家自然科学基金青年科学基金项目、中国博士后科学基金特别资助项目、中国博士后科学基金面上项目、广东省自然科学基金面上项目、深圳市自然科学基金面上项目等多项科研项目,以第一/通讯作者在 IEEE T-IP、IEEE T-CSVT、IEEE T-MM 等国际顶级/知名期刊发表多篇 SCI 论文,获授权中国、美国发明专利十余件。

🎓 教育经历

  • 2016.01–2019.02, 香港城市大学,博士,导师:邝得互教授(IEEE Fellow)
  • 2010.09–2013.06,宁波大学,硕士,导师:蒋刚毅教授、郁梅教授
  • 2006.09–2010.06,天津理工大学,学士
  • 2011.09–2013.06,中国科学院深圳先进技术研究院,客座学生

💼 工作经历

  • 2022.12–至今,中国科学院深圳先进技术研究院,副研究员
  • 2021.07–2022.11,中国科学院深圳先进技术研究院,助理研究员
  • 2018.11–2021.06,中国科学院深圳先进技术研究院,博士后,合作导师:张云研究员
  • 2013.07–2015.12,中国科学院深圳先进技术研究院,研究助理

🚀 研究方向

  • 多媒体信号处理,图像/视频编解码
  • 机器视觉,水下图像/视频增强与压缩
  • 3D 视频编码与处理,虚拟视点渲染
  • 静态/动态点云增强与压缩
  • 图像/视频/点云感知评价
  • 光场质量评价与编码

🔬 主持的科研项目

  • 广东省自然科学基金面上项目
  • 智能警务四川省重点实验室开放课题
  • 中国科学院国际交流计划国际访问学者项目
  • 深圳市自然科学基金面上项目
  • 中国博士后科学基金特别资助(站中)
  • 国家自然科学基金青年科学基金项目
  • 中国博士后科学基金面上项目

🏆 奖项及荣誉

  • 深圳市海外高层次 C 类人才
  • 香港城市大学 Research Tuition Scholarship,2016.08、2017.08、2018.08
  • 香港城市大学 Outstanding Academic Performance Award,2017.08、2018.08
  • 香港城市大学 Studentship,2016.01–2018.12
  • 中国科学院深圳先进技术研究院院长奖学金
  • 研究生国家奖学金
  • 天津市人民政府奖学金
  • 全国大学生数学建模竞赛天津赛区一等奖

👨‍🎓 学生培养

  1. 杨云翔,南方科学大学-深圳理工大学,硕士研究生(2025.09-至今)
  2. 朱俊豪,南方科技大学-深圳理工大学,硕士研究生(2023.09-至今),学术成果包括IEEE SPL和ACM TOMM(审稿中)
  3. 梁如旭,中国科学院大学,硕士研究生(2022.09-2025.06),学术成果包括IEEE T-MM和IEEE SPL
  4. 冯识宇,中国科学院大学,硕士研究生(2021.09-2024.06),学术成果包括IEEE T-BC和IEEE T-MM,进入香港城市大学攻读博士学位

📝 代表性成果

  1. Linwei Zhu, Ruxu Liang, Yun Zhang#, Hui Yuan, and Sam Kwong, “Temporal Consistency Aware Dynamic Point Clouds Color Attribute Enhancement”, IEEE Transactions on Multimedia (IEEE T-MM), accepted, to be published, doi: 10.1109/TMM.2026.3651063, 2026. (SCI, IF=9.7, 中科院一区, 唯一一作)
  2. Junhao Zhu, Linwei Zhu#, Tao Tian, Wenhui Wu, and Jingchao Cao, “Deep Feature Prior-Guided Conditional Diffusion Model for Underwater Image Enhancement”, IEEE Signal Processing Letters (IEEE SPL), vol. 33, pp. 86-90, 2026. (SCI, IF=3.9, CCF C, 唯一通讯)
  3. Shiyu Feng, Linwei Zhu#, Yun Zhang, Na Li, and Shiqi Wang, “C-CTX: Cubic-Checkerboard Context Entropy Model for Learned Image Compression”, IEEE Transactions on Multimedia (IEEE T-MM), vol. 28, pp. 1756-1766, 2026. (SCI, IF=9.7, 中科院一区, 唯一通讯)
  4. Linwei Zhu, Ruxu Liang, Yun Zhang#, Gangyi Jiang, and Yo-Sung Ho, “Geometry Guided Latent Diffusion Model for Static Point Cloud Color Attribute Denoising”, IEEE Signal Processing Letters (IEEE SPL), vol. 32, pp. 2947-2951, 2025. (SCI, IF=3.9, CCF C, 唯一一作)
  5. Huan Zhang, Xu Zhang, Linwei Zhu#, Yun Zhang, Jiangzhong Cao, and Wing Kuen Ling, “Enhancing 3D Video Watching Experiences: Tacking Compression and 3D Warping Distortions in Synthesized View with Perceptual Guidance”, Expert Systems with Applications (ESWA), vol. 264, pp. 125853:1-12, 2025. (SCI, IF=7.5, 中科院一区, 唯一通讯)
  6. Linwei Zhu, Yun Zhang#, Na Li#, Wenhui Wu, Shiqi Wang, and Sam Kwong, “Neural Network Based Multi-Level In-Loop Filtering for Versatile Video Coding”, IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT), vol. 34, no. 11, pp. 12092-12096, 2024. (SCI, IF=11.1, 中科院一区, 唯一一作)
  7. Yun Zhang#, Haoqin Lin, Jing Sun, Linwei Zhu#, and Sam Kwong, “Learning to Predict Object Wise Just Recognizable Distortion for Image and Video Compression”, IEEE Transactions on Multimedia (IEEE T-MM), vol. 26, pp. 5925-5938, 2024. (SCI, IF=9.7, 中科院一区, 共同通讯)
  8. Linwei Zhu, Yun Zhang#, Na Li, Gangyi Jiang, and Sam Kwong, “Deep Learning Based Intra Mode Derivation for Versatile Video Coding”, ACM Transactions on Multimedia Computing Communications and Applications (ACM TOMM), vol. 19, no. 2s, article 96, pp. 1-20, 2023. (SCI, IF=6.0, CCF B, 唯一一作)
  9. Linwei Zhu, Yun Zhang#, Na Li, Jinyong Pi, and Shiqi Wang, “Circular Intra Prediction for 360 Degree Video Coding”, Journal of Visual Communication and Image Representation (JVCIR), vol. 74, pp.103000:1-12, Jan. 2021. (SCI, IF=3.1, CCF C, 唯一一作)
  10. Linwei Zhu, Yun Zhang#, Shiqi Wang, Sam Kwong, Xin Jin, and Yu Qiao, “Deep Learning Based Chroma Prediction for Intra Versatile Video Coding”, IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT), vol. 31, no. 8, pp. 3168-3181, Aug. 2021. (SCI, IF=11.1, 中科院一区, 唯一一作)
  11. Linwei Zhu, Sam Kwong#, Yun Zhang, Shiqi Wang, and Xu Wang, “Generative Adversarial Network Based Intra Prediction for Video Coding”, IEEE Transactions on Multimedia (T-MM), vol. 22, no. 1, pp. 45-58, Jan. 2020. (SCI, IF=9.7, 中科院一区, 唯一一作)
  12. Linwei Zhu, Yun Zhang, Shiqi Wang, Hui Yuan, Sam Kwong#, and Horace H. S. Ip, “Convolutional Neural Network Based Synthesized View Quality Enhancement for 3D Video Coding”, IEEE Transactions on Image Processing (IEEE T-IP), vol. 27, no. 11, pp. 5365-5377, Nov. 2018. (SCI, IF=13.7, 中科院一区, 唯一一作)
  13. Linwei Zhu, Yun Zhang, Sam Kwong#, Xu Wang, and Tiesong Zhao, “Fuzzy SVM Based Coding Unit Decision in HEVC”, IEEE Transactions on Broadcasting (IEEE T-BC), vol. 64, no. 3, pp. 681-694, Sep. 2018. (SCI, IF=4.8, 中科院一区, 唯一一作)
  14. Linwei Zhu, Yun Zhang#, Zhaoqing Pan, Ran Wang, Sam Kwong, and Zongju Peng, “Binary and Multi-Class Learning Based Low Complexity Optimization for HEVC Encoding”, IEEE Transactions on Broadcasting (IEEE T-BC), vol. 63, no. 3, pp. 547-561, Sep. 2017. (SCI, IF=4.8, 中科院一区, 唯一一作)
  15. Linwei Zhu, Yun Zhang#, Na Li, Gangyi Jiang, and Sam Kwong, “Machine Learning Based Fast H.264/AVC to HEVC Transcoding Exploiting Block Partition Similarity”, Journal of Visual Communication and Image Representation (JVCIR), vol. 38, pp. 824-837, Jul. 2016. (SCI, IF=3.1, CCF C, 唯一一作)
  16. Linwei Zhu, Yun Zhang#, Xu Wang, and Sam Kwong, “View Synthesis Distortion Elimination Filter for Depth Coding in 3D Video Broadcasting”, Multimedia Tools and Applications (MTA), vol. 74, no. 15, pp. 5935-5954, Aug. 2015. (SCI, IF=3.0, CCF C, 唯一一作)
  17. Linwei Zhu, Yun Zhang#, Mei Yu, Gangyi Jiang, and Sam Kwong, “View Spatial Temporal Post Refinement for View Synthesis in 3D Video Systems”, Signal Processing: Image Communication (SP-IC), vol. 28, no. 10, pp. 1342-1357, Nov. 2013. (SCI, IF=2.7, CCF C, 唯一一作)