高伟，博士，澳门京新葡萄官网(中国)集团有限公司助理教授/研究员/博士生导师，IEEE/CCF/CSIG Senior Member，国际IEEE电路与系统学会视觉信号处理和通信技术委员会委员（IEEE CASS VSPC-TC）、亚太信号与信息处理协会图像、视频与多媒体技术委员会委员（APSIPA IVM-TC），广东省青年拔尖人才、深圳市高层次孔雀计划人才。具有在香港、新加坡和美国学习与工作经历，曾在工业界从事研发工作。长期从事视觉感知驱动的多媒体编码与处理、深度学习与人工智能领域的研究（包括高效算法与系统），特别是沉浸式与3D视觉媒体信息处理技术（包括点云、光场、全景、多视点/双目3D等）。研究方向主要包括：（1）多媒体编码：点云与视频编码、深度学习智能编码；（2）多媒体处理与计算机视觉：点云处理与分析、图像/视频处理与分析、沉浸式与3D视觉媒体处理与分析（质量评价与显著性分割、增强复原与机器分析）；（3）深度学习与人工智能：多媒体与人工智能系统实现（深度神经网络轻量化、深度学习软硬件加速器、开源项目）。主要科研成果发表在相关领域高水平国际期刊（如IEEE TPAMI、TIP、TCSVT、TMM、TNNLS、TCYB、TGRS等）和高水平国际会议（如CVPR、ECCV、AAAI、ACM MM、DCC等）上90余篇，申请或授权美国/中国/PCT专利70余项，积极参与多媒体与人工智能技术的标准制定工作并提交技术提案20余项。多篇论文入选ESI高被引论文和优秀论文奖（2篇论文入选ESI高被引，4篇论文获得优秀论文奖）。由于在3D沉浸式媒体方面的研究荣获2021年IEEE多媒体学术新星奖（IEEE Multimedia Rising Star，全球仅4人获奖），荣获2022年CCF优秀图形开源软件奖项、2022年深圳市科学技术协会优秀科技学术论文奖（2项）、2021年CCF-腾讯犀牛鸟优秀专利奖、2020年和2019年连续两年CCF-腾讯犀牛鸟基金、2019年广东省计算机学会优秀论文一等奖（第1作者论文）。

受邀担任四个多媒体计算与机器学习领域国际重要SCI期刊副编辑（Associate Editor），包括JCR一区期刊Signal Processing（Elsevier）、JCR二区期刊Neural Processing Letters（Springer）等。担任中国计算机学会多媒体技术专委会执行委员（CCF TCMM）、中国图象图形学学会多媒体专业委员会委员（CSIG TCMM）和三维视觉专业委员会委员（CSIG TC3DV）。担任ZTE Communications上点云处理与应用专题（Special Issue）的客座编委（Guest Editor）。在IEEE ICME 2023、ACM MM 2022、IEEE VCIP 2022和IEEE ICME 2021会议上组织过交互式媒体质量评价、点云编码与处理等领域的研讨会（Workshop）和专题会议（Special Session）。担任IEEE ICME 2023、IEEE ICIP 2023点云相关主题的讲习班（Tutorial）讲者。国家自然科学基金、广东省与深圳市项目评审专家。担任多个国际顶级期刊IEEE TIP、TVCG、TCSVT、TMM、TNNLS、TCYB等以及国际重要学术会议CVPR、ECCV、AAAI、ACM MM、IJCAI等的审稿人，多个国际学术会议程序委员会委员与组织方等。

课题组与工业界有广泛的技术研发合作，并与鹏城实验室合作正在搭建和维护面向点云技术和视觉信息压缩的开源算法库，包括OpenPointCloud（首个面向点云编码与处理的开源项目）、OpenHardwareVC（首个面向AVS3 8K硬件编码器的开源项目）、OpenAICoding、OpenCompression、OpenVision、OpenDatasets等。正在带领课题组积极从事沉浸式与3D视觉媒体处理技术研究。课题组致力于提升沉浸式与3D视觉媒体的观看体验与工业应用，促进新兴与未来多媒体与视觉信息处理技术发展（重要应用领域包括三维视觉技术支持的可靠无人系统/自动驾驶/自主导航、虚拟现实/增强现实技术支持的沉浸式媒体感知等）。所指导的研究生获得国家奖学金、北京市优秀毕业生、集团优秀毕业生等荣誉。

欢迎优秀的本科生和硕士生保送和报考澳门京新葡萄官网(中国)集团有限公司的硕士和博士研究生，同时欢迎申请课题组的博士后和访问职位，从事多媒体计算与人工智能相关热门与前沿课题的研究探索。请查看主页：https://gaowei262.github.io/（查看最新招生与科研信息）。

近年来作为负责人曾经或正在负责10余项国家级与省市级等重要科研项目，包括科技部国家重点研发计划项目/课题（2项）、国家自然科学基金项目/课题（重点项目课题1项，面上项目1项，青年项目1项）、广东省自然科学基金项目（面上项目1项）、深圳市基础研究项目（重点项目1项，面上项目1项）、企业委托项目（6项，与腾讯、华为、联想等公司合作）等。

n IEEE Senior Member

n China CCF/CSIG Senior Member

n 国际IEEE电路与系统学会视觉信号处理和通信技术委员会委员（IEEE CASS VSPC-TC）

n 亚太信号与信息处理协会图像、视频与多媒体技术委员会委员（APSIPA IVM-TC）

n 中国计算机学会多媒体技术专委会执行委员

n 中国图象图形学学会多媒体专业委员会委员、三维视觉专业委员会委员

n 国际SCI期刊Signal Processing副编辑

n 国际SCI期刊Neural Processing Letters副编辑

n 国际SCI期刊IET Image Processing副编辑

n 国际SCI期刊IET Electronics Letters副编辑

n 国际ZTE Communications期刊专刊客座编辑（Special Issue on 3D Point Cloud Processing and Applications）

n Tutorial Speaker, Tutorial on 3D Point Cloud Compression and Processing for Multi-dimensional Applied Perception (PCP-MAP) at IEEE ICME 2023

n Tutorial Speaker, Tutorial on Learning-based Point Cloud Compression and Enhancement at IEEE ICIP 2023

n Organizer, International Workshop on Perception-inspired Communication and Processing for Immersive and Interactive Multimedia (PCPI2M) at IEEE ICME 2023

n Organizer, Special Session on 3D Point Cloud Acquisition, Processing and Communication (3DPC-APC) at IEEE VCIP 2022

n Organizer, International Workshop on Advances in Point Cloud Compression, Processing and Analysis (APCCPA) at ACM MM 2022

n Organizer, International Workshop on Quality of Experience in Interactive Multimedia (QoEIM) at IEEE ICME 2021

1. Yuanqi Chen, Shangkun Sun, Ge Li, Wei Gao, Thomas H. Li, “Closing the Gap between Theory and Practice during Alternating Optimization for GANs,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), accepted in 2023.

2. Fei Song, Ge Li, Xiaodong Yang, Wei Gao, Shan Liu, “Region-Aware Optimized Transform for Block-Based Point Cloud Attribute Compression,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), accepted in January 2023.

3. Yuanqi Chen, Cece Jin, Ge Li, Thomas H. Li, Wei Gao, “Mitigating Label Noise in GANs via Enhanced Spectral Normalization,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), accepted in January 2023.

4. Wei Gao, Songlin Fan, Ge Li, Weisi Lin, “A Thorough Benchmark and A New Model for Light Field Saliency Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted in December 2022.

5. Hao Liu, Hui Yuan, Junhui Hou, Raouf Hamzaoui, Wei Gao, “PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling,” IEEE Transactions on Image Processing (TIP), accepted in October 2022.

6. Ruonan Zhang, Wei Gao, Ge Li, Thomas Li, “QINet: Decision Surface Learning and Adversarial Enhancement for Quasi-Immune Completion of Diverse Corrupted Point Clouds,” IEEE Transactions on Geoscience and Remote Sensing (TGRS), accepted in October 2022.

7. Runmin Cong, Haowei Yang, Qiuping Jiang, Wei Gao, Haisheng Li, Cong Wang, Yao Zhao, Sam Kwong, “BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images,” IEEE Transactions on Instrumentation and Measurement (TIM), accepted in July 2022.

8. Guanghui Yue, Siying Li, Tianwei Zhou, Miaohui Wang, Jingfeng Du, Tianfu Wang, Qiuping Jiang, Wei Gao, “Adaptive Context Exploration Network for Polyp Segmentation in Colonoscopy Images,” IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), accepted in July 2022.

9. Songlin Fan, Wei Gao, Ge Li, “Salient Object Detection for Point Clouds,” European Conference on Computer Vision (ECCV), accepted in July 2022.

10. Wei Gao, Hua Ye, Ge Li, Huiming Zheng, Yuyang Wu, Liang Xie, “OpenPointCloud: An Open-Source Algorithm Library of Deep Learning Based Point Cloud Compression,” ACM International Conference on Multimedia (ACM MM), accepted in June 2022.

11. Hang Yuan, Wei Gao, Ge Li, Zhu Li, “Rate-Distortion-Guided Learning Approach with Cross-Projection Information for V-PCC Fast CU Decision,” ACM International Conference on Multimedia (ACM MM), accepted in June 2022.

12. Wei Gao, Hang Yuan, Yang Guo, Lvfang Tao, Zhanyuan Cai, Ge Li, “OpenHardwareVC: An Open Source Library for 8K UHD Video Coding Hardware Implementation,” ACM International Conference on Multimedia (ACM MM), accepted in June 2022.

13. Guibiao Liao, Wei Gao, Ge Li, Junle Wang, Sam Kwong, “Cross-Collaborative Fusion-Encoder Network for Robust RGB-T Salient Object Detection,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), accepted in June 2022.

14. Wei Gao, Yang Guo, Siwei Ma, Ge Li, Sam Kwong, “Efficient Neural Network Compression Inspired by Compressive Sensing,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), accepted in June 2022.

15. Dinghao Yang, Wei Gao, Hui Yuan, Junhui Hou, Ge Li, Sam Kwong, “3D Point Cloud Classification via Exploiting Efficient Manifold Learning Based Feature Representation,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), accepted in May 2022.

16. Ruonan Zhang, Jingyi Chen, Wei Gao, Ge Li, Thomas Li, “PointOT: Interpretable Geometry-Inspired Point Cloud Generative Model via Optimal Transport,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), accepted in April 2022.

17. Xiaoyu Zhang, Wei Gao, Ge Li, Qiuping Jiang, Runmin Cong, “Image Quality Assessment Driven Reinforcement Learning for Mixed Distorted Image Restoration,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), accepted in April 2022.

18. Zhuangzi Li, Ge Li, Thomas Li, Shan Liu, Wei Gao, “Semantic Point Cloud Upsampling,” IEEE Transactions on Multimedia (TMM), accepted in March 2022.

19. Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji, "Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), accepted in March 2022.

20. Xianghao Zang, Ge Li, Wei Gao, “Multi-dimension and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval,” IEEE Transactions on Industrial Informatics (TII), accepted in Feburary 2022.

21. Yang Guo, Wei Gao, Siwei Ma, Ge Li, “Accelerating Transform Algorithm Implementation for Efficient Intra Encoder of 8K UHD Videos,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), accepted in December 2021.

22. Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu, “OctAttention: Octree-based Large-scale Contexts Model for Point Cloud Compression,” AAAI Conference on Artificial Intelligence (AAAI), accepted in December 2021.

23. Zhenyu Peng, Qiuping Jiang, Feng Shao, Wei Gao, Weisi Lin, “LGGD+: Image Retargeting Quality Assessment by Measuring Local and Global Geometric Distortions,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), September 2021.

24. Fei Song, Yiting Shao, Wei Gao, Haiqiang Wang, Thomas Li, "Layer-Wise Geometry Aggregation Framework for Lossless LiDAR Point Cloud Compression," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), July, 2021.

25. Zhuangzi Li, Ge Li, Thomas Li, Shan Liu, Wei Gao, "Information-Growth Attention Network for Image Super-Resolution," ACM International Conference on Multimedia (ACM MM), Chengdu, China, October 20-24, 2021.

26. Wei Gao, Qiuping Jiang, Ronggang Wang, Siwei Ma, Ge Li, Sam Kwong, "Consistent Quality Oriented Rate Control in HEVC via Balancing Intra and Inter Frame Coding," IEEE Transactions on Industrial Informatics (TII), 2021.

27. Yudong Mao, Qiuping Jiang, Runmin Cong, Wei Gao, Feng Shao, Sam Kwong, "Cross-modality Fusion and Progressive Integration Network for Saliency Prediction on Stereoscopic 3D Images," IEEE Transactions on Multimedia (TMM), 2021.

28. Wei Gao, Linjie Zhou, Lvfang Tao, "A Fast View Synthesis Implementation Method for Light Field Applications," ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2021.

29. Wei Gao, Guibiao Liao, Siwei Ma, Ge Li, Yongsheng Liang, Weisi Lin, "Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.

30. Qiuping Jiang, Wei Gao, Shiqi Wang, Guanghui Yue, Feng Shao, Yo-Sung Ho, Sam Kwong, "Blind Image Quality Measurement by Exploiting High Order Statistics with Deep Dictionary Encoding Network," IEEE Transactions on Instrumentation and Measurement (TIM), vol. 69, no. 10, pp. 7398-7410, April 2020.

31. Guibiao Liao, Wei Gao, Qiuping Jiang, Ronggang Wang, Ge Li, "MMNet: Multi-Stage and Multi-Scale Fusion Network for RGB-D Salient Object Detection," ACM International Conference on Multimedia (ACM MM), Seattle, WA, USA, pp. 2436–2444, October 2020.

32. Wei Gao, Sam Kwong, Qiuping Jiang, Chi-Keung Fong, Peter H. W. Wong, Wilson Y. F. Yuen, "Data-Driven Rate Control for Rate-Distortion Optimization in HEVC Based on Simplified Effective Initial QP Learning," IEEE Transactions on Broadcasting (TBC), vol. 65, no. 1, pp. 94-108, March 2019.

33. Mingliang Zhou, Xuekai Wei, Shiqi Wang, Sam Kwong, Chi-Keung Fong, Peter H. W. Wong, Wilson Y. F. Yuen, Wei Gao, "SSIM-Based Global Optimization for CTU-Level Rate Control in HEVC," IEEE Transactions on Multimedia (TMM), vol. 21, no. 8, pp. 1921-1933, August 2019.

34. Qiuping Jiang, Feng Shao, Wei Gao, Zhuo Chen, Gangyi Jiang, Yo-Sung Ho, "Unified No-reference Quality Assessment of Singly and Multiply Distorted Stereoscopic Images," IEEE Transactions on Image Processing (TIP), vol. 28 , no. 4, pp. 1866-1881, April 2019.

35. Yuheng Jia, Sam Kwong, Wenhui Wu, Ran Wang, Wei Gao, "Sparse Bayesian Learning Based Kernel Poisson Regression," IEEE Transactions on Cybernetics (TCYB), vol. 49, no. 1, pp. 56-68, January 2019.

36. Wei Gao, Sam Kwong, Yuheng Jia, "Joint Machine Learning and Game Theory for Rate Control in High Efficiency Video Coding," IEEE Transactions on Image Processing (TIP), vol. 26, no. 12, pp. 6074-6089, December 2017.

37. Wei Gao, Sam Kwong, Yu Zhou, Hui Yuan, "SSIM-Based Game Theory Approach for Rate-Distortion Optimized Intra Frame CTU-Level Bit Allocation," IEEE Transactions on Multimedia (TMM), vol. 18, no. 6, pp. 988-999, June 2016.

38. Wei Gao, Sam Kwong, Hui Yuan, Xu Wang, "DCT Coefficient Distribution Modeling and Quality Dependency Analysis Based Frame-Level Bit Allocation for HEVC," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 26, no. 1, pp. 139-153, January 2016.

39. Hui Yuan, Sam Kwong, Xu Wang, Wei Gao, Yun Zhang, "Rate Distortion Optimized Inter View Frame Level Bit Allocation Method for MV-HEVC," IEEE Transactions on Multimedia (TMM), vol. 17, no. 12, pp. 2134-2146, December 2015.

40. Nan Zhang, Zhiyi Pan, Thomas H. Li, Wei Gao, Ge Li, "Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering," IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

1. Systems and Methods for Rate Control in Video Coding using Joint Machine Learning and Game Theory, United States Patent, US10542262B2, Jan. 21, 2020.

2. Method for Initial Quantization Parameter Optimization in Video Coding, United States Patent, US10560696B2, Feb. 11, 2020.

3. Methods, Apparatus, and Computer Readable Storage Mediums for Determination of Neural Network Pruning, United States Patent, Filed in Dec. 9, 2021.

4. Methods, Apparatus, Devices, Mediums and Products for Object Detection Network Design, United States Patent, Filed in May 14, 2021.

5. 一种面向学习模型的编码决策处理方法、装置及设备，PCT国际专利申请，PCT/CN2022/139790，2022年10月14日。

6. 一种图像压缩方法、装置、电子设备及存储介质，PCT国际专利申请，PCT/CN2022/133355，2022年7月28日。

7. 剪枝模块的确定方法、装置及计算机可读存储介质，PCT国际专利申请，PCT/CN2021/136849，2021年12月9日。

8. 目标检测网络构建优化方法、装置、设备、介质及产品，PCT国际专利，PCT/CN2021/093911，2021年5月14日。

9. 基于压缩感知的神经网络模型压缩方法、设备及存储介质，PCT国际专利，WO2022000373A1，2020年7月1日。

10. 视频编码质量平滑度的优化方法、装置、设备及存储介质，PCT国际专利，WO2020042177A1, 2020年3月5日。

（近年来，为计算机应用技术专业研究生开设以下两门选修课程，受到同学们的欢迎。）

1. 《三维视觉与计算摄像学》（Fall Semester，选修）

2. 《现代视频处理专题》（Spring Semester，选修）

（点击查看招生要求）

1. 专业范围：计算机、电子信息、自动化等信息科学类专业的本科和硕士毕业生。

2. 外语/数学能力：英语六级。

3. 研究/开发能力：熟练的程序设计能力，具有一定的探索能力和创新精神。

4. 其他要求：对做科研工作有热情、有兴趣，自我驱动力强。