Wei GAO (高伟)

Welcome to Wei GAO's Homepage!

Wei GAO (高伟), Ph.D., IEEE Senior Member
Assistant Professor/Researcher/PhD Supervisor
助理教授/研究员/博士生导师

School of Electronic and Computer Engineering,
Shenzhen Graduate School, Peking University (PKU)
北京大学深圳研究生院信息工程学院

Contact Information:
Address: PKU Campus, Xili University Town, Nanshan District, Shenzhen 518055, China
Email: gaowei262@pku.edu.cn

[2022年欢迎申请加入课题组，请点击查看]

[Biography] [Research] [Team] [Publications] [Patents] [Teaching] [Awards] [Activities] [OpenSourceProjects] [Gallery] [Visitors]

Biography

the School of Electronic and Computer Engineering

Shenzhen Graduate School

Peking University (PKU)

the Department of Computer Science

City University of Hong Kong (CityU)

OmniVision Technologies (OVT)

the Electrical Engineering Department

University of California, Los Angeles (UCLA)

the Department of Computer Science

City University of Hong Kong (CityU)

the School of Electrical and Electronic Engineering

Nanyang Technological University (NTU)

Multimedia Coding

Multimedia Processing and Computer Vision

Deep Learning and Artificial Intelligence

good innovations should have good explainable theories

Signal Processing (Elsevier)

Neural Processing Letters (Springer)

IET Image Processing

Electronics Letters

PKU-SECE

here

(Note: This website may not be updated in time.)

高伟，博士，北京大学信息工程学院助理教授/研究员/博士生导师，兼任鹏城国家实验室协同算法研究室/开源算法研究室主任，IEEE高级会员。香港城市大学计算机科学博士，曾在美国加州大学洛杉矶分校（UCLA）做访问学者，曾在香港城市大学和新加坡南洋理工大学做博士后研究，曾在CMOS图像传感器制造商OmniVision Technologies公司担任图像信号处理器ASIC芯片设计工程师。研究方向为沉浸式与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），主要研究兴趣包括：（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视觉媒体中的计算机视觉（包括感知质量评价、视觉注意机制与显著性分割、复原增强、3D目标检测等）；（3）深度学习与人工智能：机器学习/深度学习与优化理论及应用、可解释性深度神经网络理论、人工智能中深度学习算法轻量化与软硬件加速。近年来主要科研成果发表在相关领域高水平国际期刊（如IEEE TIP、TCSVT、TMM、TNNLS、TCYB等）和高水平国际会议（如CVPR、ECCV、AAAI、ACM MM、DCC等）上70余篇，申请或授权美国/中国/PCT专利50余项，积极参与多媒体与人工智能技术的标准提案工作。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优秀图形开源软件提名奖、2021年CCF-腾讯犀牛鸟优秀专利奖、2020年和2019年连续两年的CCF-腾讯犀牛鸟基金及技术标准化研究（科研基金全球遴选入选率12%）、2019年广东省计算机学会优秀论文一等奖（第1作者论文）。荣获深圳市海外高层次人才（孔雀计划）。受邀担任四个多媒体计算与机器学习领域国际重要SCI期刊编委（Associate Editor），包括JCR一区期刊Signal Processing（Elsevier）、JCR二区期刊Neural Processing Letters（Springer）等，并同时是亚太信号与信息处理协会图像、视频与多媒体技术委员会（APSIPA IVM TC）委员、中国计算机学会多媒体技术专委会（CCF TCMM）执行委员、中国图象图形学学会多媒体专业委员会（CSIG TCMM）委员。曾于IEEE ICME 2021、IEEE VCIP 2022和ACM MM 2022会议上组织过交互式媒体、点云编码与处理等领域的研讨会（Workshop）和专题会议（Special Session）。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、TCSVT、TMM、TNNLS、TCYB等以及国际重要学术会议CVPR、ECCV、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。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。近年来，作为负责人曾经或正在负责10余项国家级与省部级等重大/重要科研项目，包括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3项（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1项（面上项目1项）、深圳市基础研究项目2项（重点项目1项，面上项目1项）、企业委托项目5项（腾讯、华为、联想）等。作为研究骨干参与国家自然科学基金3项、香港研究资助局优配研究基金1项、香港创新科技署项目1项等。

Research

Multimedia Coding

Multimedia Processing and Computer Vision

Deep Learning and Artificial Intelligence

Multimedia Coding:
Point Cloud Compression, 2D/3D/Perceptual Video Coding, AI-Based Media Compression for Immersive and 3D Visual Media Communication (including Point Cloud, Light Field, Panorama, Multiview/Binocular 3D for VR/AR)
Multimedia Processing and Computer Vision:
Point Cloud Processing and Analysis, Image/Video Processing and Analysis, Computer Vision for Immersive and 3D Visual Media (including Visual Quality Assessment, Visual Attention and Saliency Segmentation, Restoration and Enhancement, 3D Object Detection)
Deep Learning and Artificial Intelligence:
Machine Learning/Deep Learning and Optimization Methods, Interpretable Deep Learning, Light-weight Deep Neural Networks for Multimedia and AI Accelerators (HW/SW, VLSI/Embedded Hardware Design)

Team

Excellent Postdoctoral Fellows, Postgraduate Students (Ph.D. and Master), and Visiting Students (Postdoc/Ph.D./Master/Undergraduate Students from other institutions as Research Associate/Assistant) are welcome to join our team to work on exciting Multimedia Computing and Artificial Intelligence related topics. Please feel free to send your CV and the supporting documents (certificates and transcripts) to the email (gaowei262@pku.edu.cn). We are also working closely with Peng Cheng Laboratory, Shenzhen, China.

Postdoctoral Fellow positions are opening at Peng Cheng Lab or Peking University (all the year round).
PhD and Master positions are opening at Peking University (including the Joint PhD Program with Peng Cheng Lab) (all the year round).

Link

Publications

近年来，共发表学术论文70余篇。另外，在投期刊和会议论文多篇。

Selected Publications (30+ Papers)

Full Publications

2022:

Yuhan An, Yiting Shao, Ge Li, Wei Gao, Shan Liu, “A Fast Motion Estimation Method With Hamming Distance for LiDAR Point Cloud Compression,” IEEE International Conference on Visual Communication and Image Processing (VCIP), accepted in August 2022. [IEEEXplore]

Yongchi Zhang, Wei Gao, Ge Li, “OpenPointCloud-V2: A Deep Learning Based Open-Source Algorithm Library of Point Cloud Processing,” Proceedings of the 1st International Workshop on Advances in Point Cloud Compression, Processing and Analysis (APCCPA) at ACM Multimedia, accepted in August 2022. [ACM-DL]

Liang Xie, Wei Gao, Huiming Zheng, “End-to-End Point Cloud Geometry Compression and Analysis with Sparse Tensor,” Proceedings of the 1st International Workshop on Advances in Point Cloud Compression, Processing and Analysis (APCCPA) at ACM Multimedia, accepted in August 2022. [ACM-DL]

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. [IEEEXplore]

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. [IEEEXplore]

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

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. [ACM-DL]

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. [ACM-DL]

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. [ACM-DL]

Linjie Zhou, Wei Gao, Ge Li, “End-to-End Spatial-Angular Light Field Super-Resolution Using Parallax Structure Preservation Strategy,” International Conference on Image Processing (ICIP), accepted in June 2022. [IEEEXplore]

Jingyi Chen, Ge Li, Ruonan Zhang, Thomas H. Li, Wei Gao, “PointIVAE: Invertible Variational Autoencoder Framework for 3D Point Cloud Generation,” International Conference on Image Processing (ICIP), accepted in June 2022. [IEEEXplore]

Tian Guo, Hui Yuan, Tingting Wang, Wei Gao, “Graph Filter-Based Fast Motion Matching for Inter Frame Coding of MPEG-G-PCC,” International Conference on Image Processing (ICIP), accepted in June 2022. [IEEEXplore]

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. [IEEEXplore]

Wei Gao, Yang Guo, Siwei Ma, Ge Li, and Sam Kwong, “NNCS: Neural Network Compression via Compressive Sensing,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), accepted in June 2022. [IEEEXplore]

Yuanqi Chen, Xiaoming Yu, Shan Liu, Wei Gao, Ge Li, “Zero-Shot Unsupervised Image-to-Image Translation via Exploiting Semantic Attributes,” Image and Vision Computing (IVC), accepted in May 2022. [ScienceDirect]

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. [ACM-DL]

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. [IEEEXplore]

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. [ACM-DL]

Baixiang Yang, Wei Gao, Ge Li, “Focus and Adjust: Progressive Refinement Network for Human Object Interaction Detection,” International Conference on Pattern Recognition (ICPR), accepted in March 2022. [IAPR]

Fei Song, Ge Li, Wei Gao, Thomas H. Li, “Rate-Distortion Optimized Graph for Point Cloud Attribute Coding,” IEEE Signal Processing Letters (SPL), accepted in March 2022. [IEEEXplore]

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

Fei Song, Ge Li, Xiaodong Yang, Wei Gao, Thomas H. Li, “Fine-Grained Correlation Representation for Graph-based Point Cloud Attribute Compression,” IEEE International Conference on Multimedia and Expo (ICME), accepted in March 2022. [IEEEXplore]

Xiaoqing Fan, Ge Li, Dingquan Li, Yurui Ren, Wei Gao, Thomas H. Li, “Deep Geometry Post-Processing for Decompressed Point Clouds,” IEEE International Conference on Multimedia and Expo (ICME), accepted in March 2022. [IEEEXplore]

Xiaoyu Zhang, Guibiao Liao, Wei Gao, Ge Li, “TDRNet: Transformer-based Dual-branch Restoration Network for Geometry based Point Cloud Compression Artifacts,” IEEE International Conference on Multimedia and Expo (ICME), accepted in March 2022. [IEEEXplore]

Yang Guo, Wei Gao, “Semantic-driven Automatic Filter Pruning for Neural Networks,” IEEE International Conference on Multimedia and Expo (ICME), accepted in March 2022. [IEEEXplore]

Lvfang Tao, Wei Gao, “A Hardware Implementation of Entropy Encoder for 8K Video Coding,” IEEE International Conference on Multimedia and Expo (ICME), accepted in March 2022. [IEEEXplore]

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. [IEEEXplore]

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. [IEEEXplore]

Rong Bao, Yurui Ren, Ge Li, Wei Gao, Shan Liu, “Flow-Based Point Cloud Completion Network with Adversarial Refinement,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), accepted in Januray 2022. [IEEEXplore]

Hao Liu, Hui Yuan, Hamzaoui Raouf, Wei Gao, Shuai Li, “PU-REFINER: A Geometry Refiner with Adversarial Learning for Point Cloud Upsampling,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), accepted in Januray 2022. [IEEEXplore]

Yangfan Sun, Zhu Li, Li Li, Shizheng Wang, Wei Gao, “Optimization of Compressive Light Field Display in Dual-guided Learning,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), accepted in Januray 2022. [IEEEXplore]

Xiaoyu Zhang, Wei Gao, Hui Yuan, Ge Li, “JE2Net: Joint Exploitation and Exploration in Reinforcement Learning Based Image Restoration,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), accepted in Januray 2022. [IEEEXplore]

Xiaoyu Zhang, Wei Gao, “HIRL: Hybrid Image Restoration Based on Hierarchical Deep Reinforcement Learning via Two-step Analysis,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), accepted in Januray 2022. [IEEEXplore]

2021 and Before:

Yuyang Wu, Wei Gao, “End-to-end Lossless Compression of High Precision Depth Maps Guided by Pseudo-residual,” Data Compression Conference (DCC), accepted in December 2021. [IEEEXplore]

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. [ACM-DL]

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. [AAAI]

Xianghao Zang, Ge Li, Wei Gao, Xiujun Shu, “Learning to Disentangle Scenes for Person Re-Identification,” Image and Vision Computing (IVC), October 2021. [ScienceDirect]

Xianghao Zang, Ge Li, Wei Gao, Xiujun Shu, “Exploiting Robust Unsupervised Video Person Re-Identification,” IET Image Processing (IET-IPR), October 2021. [WileyOnlineLibrary]

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. [IEEEXplore]

Fangyu Shen, Wei Gao, “A Rate Control Algorithm for Video-Based Point Cloud Compression,” International Conference on Visual Communication and Image Processing (VCIP), December 5-8, 2021. [IEEEXplore]

Lvfang Tao, Wei Gao, “Efficient Channel Pruning Based on Architecture Alignment and Probability Model Bypassing,” IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct 17-20, 2021. [IEEEXplore]

Fangyu Shen, Zhanyuan Cai, Wei Gao, “An Efficient Rate Control Algorithm for Intra Frame Coding in AVS3,” IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct 17-20, 2021. [IEEEXplore]

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. [IEEEXplore]

Junkang Hu, Qiuping Jiang, Hong Li, Runmin Cong, Wei Gao, Feng Shao, "Two-Branch Deep Neural Network for Underwater Image Enhancement in HSV Color Space," IEEE Signal Processing Letters (SPL), 2021. [IEEEXplore]

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. [ACM-DL]

Hang Yuan, Wei Gao, Junle Wang, "Dynamic Computational Resource Allocation for Fast Inter Frame Coding in Video Conferencing Applications," IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, July 5-9, 2021. [IEEEXplore]

Zixuan Guo, Wei Gao, Haiqiang Wang, Junle Wang, Songlin Fan, "No-Reference Deep Quality Assessment of Compressed Light Field Images," IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, July 5-9, 2021. [IEEEXplore]

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. [IEEEXplore]

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. [IEEEXplore]

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. [ACM-DL]

Yuyang Wu, Zhiyang Qi, Huiming Zheng, Lvfang Tao, Wei Gao, "Deep Image Compression with Latent Optimization and Piece-wise Quantization Approximation," IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 19-25, 2021. [IEEEXplore]

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. [IEEEXplore]

Hang Yuan, Wei Gao, "A New Coding Unit Partitioning Mode for Screen Content Video Coding," International Conference on Digital Signal Processing (ICDSP), Chengdu, China, February 26-28, 2021. [ACM-DL]

Zhanyuan Cai, Wei Gao, "Efficient Fast Algorithm and Parallel Hardware Architecture for Intra Prediction of AVS3," IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, May 22-28, 2021. [IEEEXplore]

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. [IEEEXplore]

Wei Gao, Lvfang Tao, Linjie Zhou, Dinghao Yang, Xiaoyu Zhang, Zixuan Guo, "Low-rate Image Compression with Super-Resolution Learning," IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, pp. 607-610, June 2020. [IEEEXplore]

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. [ACM-DL]

Wei Gao, "On the Performance Evaluation of State-of-the-art Rate Control Algorithms for Practical Video Coding and Transmission Systems," International Conference on Video and Image Processing (ICVIP), Xi’an, China, Dec. 25-27, 2020. [ACM-DL]

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. [IEEEXplore]

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. [IEEEXplore]

Qiuping Jiang, Feng Shao, Wei Gao, Hong Li, Yo-Sung Ho, "A Risk-Aware Pairwise Rank Learning Approach for Visual Discomfort Prediction of Stereoscopic 3D Images," IEEE Signal Processing Letters (SPL), vol. 26, no. 11, pp. 1588-1592, November 2019. [IEEEXplore]

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. [IEEEXplore]

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. [IEEEXplore]

Wei Gao, "A Multi-Objective Optimization Perspective for Joint Consideration of Video Coding Quality," Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Lanzhou, China, pp. 986-991, November 2019. [IEEEXplore]

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. [IEEEXplore]

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. [IEEEXplore]

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. [IEEEXplore]

Wei Gao, Sam Kwong, Hongshi Sang, "Low-cost Memory Data Scheduling Method for Reconfigurable FFT Bit-reversal Circuits," Electronics Letters (EL), vol. 51, no. 3, pp. 217-219, Feburary 2015. [IEEEXplore]

Wenhui Wu, Sam Kwong, Yu Zhou, Yuheng Jia, Wei Gao, "Nonnegative Matrix Factorization with Mixed Hypergraph Regularization for Community Detection," Information Sciences (INS), vol. 435, 263-281, April 2018. [ScienceDirect]

Yu Zhou, Sam Kwong, Wei Gao, Xu Wang, "A Phase Congruency Based Patch Evaluator for Complexity Reduction in Multi-dictionary Based Single-image Superresolution," Information Sciences (INS), vol. 367-368, pp. 337-353, November 2016. [ScienceDirect]

Yu Zhou, Sam Kwong, Hainan Guo, Wei Gao, Xu Wang, "Bi-level Optimization of Block Compressive Sensing with Perceptually Nonlocal Similarity," Information Sciences (INS), vol. 360, pp. 1-20, September 2016. [ScienceDirect]

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. [IEEEXplore]

Wei Gao, Sam Kwong, "Phase Congruency Based Edge Saliency Detection and Rate Control for Perceptual Image and Video Coding," IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary, pp. 264-269, October 2016. [IEEEXplore]

Wei Gao, Sam Kwong, Yu Zhou, Yuheng Jia, Jia Zhang, Wenhui Wu, "Multiscale Phase Congruency Analysis for Image Edge Visual Saliency Detection," International Conference on Machine Learning and Cybernetics (ICMLC), Jeju, South Korea, pp. 75-80, July 2016. [IEEEXplore]

Wei Gao, Sam Kwong, Yu Zhou, Xu Wang, "Phase Congruency Analysis of Down-sampled and Blurring Images for Foreground Extraction," International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), Guangzhou, China, pp. 152-157, July 2015. [IEEEXplore]

Yuheng Jia, Sam Kwong, Wenhui Wu, Wei Gao, Ran Wang, "Generalized Relevance Vector Machine," Intelligent Systems Conference (IntelliSys), London, UK, pp. 638-645, September 2017. [IEEEXplore]

Yu Zhou, Sam Kwong, Wei Gao, Xiao Zhang, Xu Wang, "Complexity Reduction in Multi-dictionary Based Single-Image Superresolution Reconstruction via Phase Congruency," International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), Guangzhou, China, pp. 146-151, July 2015. [IEEEXplore]

Xu Wang, Sam Kwong, Wei Gao, Yu Zhou, Hui Yuan, Yun Zhang, "Smooth View Quality Oriented Bit Allocation Optimization for 3D Video Coding," IEEE International Conference on Systems, Man, and Cybernetics (SMC), Hong Kong, pp. 1764-1769, October 2015. [IEEEXplore]

Patents & Standardizations

We have filed over 50 PCT International/US/China patents in the fields of mutlimedia computing and AI.

Link (EN)
Link (CN)

Teaching

I am teaching the following courses for postgraduate students (PhD & MPhil) at Peking University:

3D Vision & Computational Photography (Fall Semester)
Selected Topics in Advanced Video Processing (Spring Semester)

Awards

CCF Excellent Open Source Graphic Software Nomination Award (Website1, Website2)
CCF-Tencent Rhino-Bird Excellent Patent Award (Website)
IEEE Multimedia Rising Star (Runner Up Award) for Outstanding Early-stage Career Achievements in the Area of 3D Immersive Media Research (Website)
CCF-Tencent Rhino-Bird Young Faculty Open Research Fund Recipient with Technical Standardization (Global Selection, Acceptance Rate: 12%) (Website)
Outstanding Paper Award (First Prize) by Guangdong Computer Federation (First Author Paper)
Overseas High-Caliber Personnel Award (Peacock Talent Plan) by Shenzhen Municipality

Professional Activities

Memberships:

IEEE Senior Member (SM'22), ACM Member (M'20), IEEE Signal Processing Society Member (M'20), IEEE Circuits and Systems Society Member (M'20)
China CCF Senior Member (SM'22), China CSIG Member (M'20), China CAAI Member (M'20), China CIE Member (M'20)
Elected Member, Image, Video, and Multimedia Technical Committee, Asia-Pacific Signal and Information Processing Association (APSIPA IVM TC), Since 2022
Elected Executive Member, CCF Technical Committee on Multimedia Technology (CCF TCMM), Since 2022
Elected Member, CSIG Technical Committee on Multimedia (CSIG TCMM), Since 2022

International Journal Editorships & Conference Services:

Associate Editor/Editorial Board Member for Signal Processing (Elsevier SIGPRO), Since 2022.1
Associate Editor/Editorial Board Member for Neural Processing Letters (Springer NEPL), Since 2021.6
Associate Editor/Editorial Board Member for IET Image Processing (IET-IPR), Since 2020.6
Associate Editor/Editorial Board Member for Electronics Letters (EL), Since 2020.7
Organizer, Special Session on 3D Point Cloud Acquisition, Processing and Communication (3DPC-APC) at IEEE VCIP 2022 (Organizers: Wei Gao, Ge Li, Hui Yuan, Raouf Hamzaoui, Junhui Hou)
Organizer, International Workshop on Advances in Point Cloud Compression, Processing and Analysis (APCCPA) at ACM MM 2022 (Organizers: Wei Gao, Ge Li, Hui Yuan, Raouf Hamzaoui, Zhu Li, Shan Liu)
Organizer, International Workshop on Quality of Experience in Interactive Multimedia (QoEIM) at IEEE ICME 2021 (Organizers: Weisi Lin, Patrick Le Callet, Mai Xu, Wei Gao, Junle Wang)
Program Committee Member, International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022)
Program Committee Member, IJCAI-ECAI 22 Special Track on AI for Good (IJCAI-ECAI AI4G 2022)
Technical Program Committee Member, International Conference on Digital Image Processing (ICDIP 2022)
Technical Program Committee Member, International Conference on Video and Image Processing (ICVIP 2020)

Reviewer of International Journals and Conferences, including:

IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
IEEE Transactions on Multimedia (TMM)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Geoscience and Remote Sensing (TGRS)
IEEE Transactions on Cybernetics (TCYB)
IEEE Transactions on Broadcasting (TBC)
IEEE Transactions on Industrial Electronics (TIE)
IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I)
IEEE Signal Processing Letters (SPL)
Signal Processing (SIGPRO)
Neurocomputing (NEUCOM)
Information Sciences (INS)
APSIPA Transactions on Signal and Information Processing (SIP)
IET Image Processing (IET-IPR)
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)
European Conference on Computer Vision (ECCV)
International Joint Conferences on Artificial Intelligence (IJCAI)
IEEE International Conference on Multimedia and Expo (ICME)
IEEE International Conference on Visual Communication and Image Processing (VCIP)
International Conference on Pattern Recognition (ICPR)
ACM International Conference on Multimedia (ACM MM)

Open Source Projects

OpenI

OpenPointCloud: First Open Source Project for Point Cloud Coding and Processing
OpenHardwareVC: First Open Source Project for AVS3 8K Encoding Hardware
OpenAICoding
OpenCompression
OpenVision
OpenDatasets

Gallery