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                              • 高偉

                              • 職稱:助理教授
                              • Email:gaowei262@pku.edu.cn; gaowei262@126.com
                              • 個人主頁:https://gaowei262.github.io/ (查看最新招生與科研信息)
                              研究方向:1、智能視頻編碼與通信;2、圖像視頻處理與計算機視覺;3、深度神經網絡理論及應用。

                              導師與研究領域、方向:

                                高偉,博士,北京大學信息工程學院助理教授,博士生導師。香港城市大學計算機科學系計算機科學博士。曾在美國加州大學洛杉磯分校(UCLA)電子工程系做訪問學者,曾在香港城市大學計算機科學系和新加坡南洋理工大學電氣與電子工程學院做博士后研究。曾在美國OmniVision Technologies上海公司擔任攝像頭圖像信號處理工程師。研究方向為智能視頻編碼與通信、圖像視頻處理與計算機視覺、深度神經網絡理論與結構優化、機器學習與深度學習算法及應用、視覺感知建模及應用、面向多媒體計算與人工智能的軟硬件加速器實現等。近年來主要科研成果發表在相關領域的高水平國際期刊(如TIP、TCSVT、TMM等)和國際會議上,申請或授權美國發明專利、PCT國際專利、中國發明專利等10余項,并積極參與相關多媒體與人工智能技術的標準提案工作。作為負責人正在主持科研項目6項,包括國家自然科學基金、廣東省自然科學基金、深圳市基礎研究項目、騰訊公司委托項目等,并作為研究骨干參與多個國家級項目、香港政府研究資助局優配研究基金、香港政府創新科技署項目等。榮獲深圳市海外高層次人才計劃、2019年CCF-騰訊犀牛鳥基金、2019年廣東省計算機學會優秀論文一等獎、香港城市大學杰出學術表現獎、香港城市大學研究活動基金、華中科技大學科技成果獎等。擔任多個國際頂級期刊的審稿人。

                                歡迎優秀的本科生和碩士生保送和報考北京大學信息工程學院的碩士和博士研究生,同時歡迎申請課題組的博士后和訪問職位,從事多媒體計算與人工智能相關熱門與前沿課題的研究探索,更多信息請查看個人主頁:https://gaowei262.github.io/。

                              近年來有代表性的期刊論文:

                              1. Wei Gao, Sam Kwong, and Yuheng Jia, “Joint Machine Learning and Game Theory for Rate Control in High Efficiency Video Coding,” IEEE Transactions on Image Processing, vol. 26, no. 12, pp. 6074-6089, Dec. 2017. (多媒體領域頂級期刊,JCR1區)

                              2. Wei Gao, Sam Kwong, Hui Yuan, and 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, vol. 26, no. 1, pp. 139-153, Jan. 2016. (視頻編碼領域頂級期刊,JCR1區)

                              3. Wei Gao, Sam Kwong, Yu Zhou, and Hui Yuan, “SSIM-Based Game Theory Approach for Rate-Distortion Optimized Intra Frame CTU-level Bit Allocation,” IEEE Transactions on Multimedia, vol. 18, no. 6, pp. 988-999, June 2016. (多媒體領域頂級期刊,JCR1區)

                              4. Wei Gao, Sam Kwong, Qiuping Jiang, Chi-Keung Fong, Peter H. W. Wong, and 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, vol. 65, no. 1, pp. 94-108, March 2019. (視頻通信領域頂級期刊,JCR1區)

                              5. Wei Gao, Sam Kwong, and Hongshi Sang, “Low-cost Memory Data Scheduling Method for Reconfigurable FFT Bit-reversal Circuits,” Electronics Letters, vol. 51, no. 3, pp. 217-219, 2015. (集成電路領域重要期刊)

                              6.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, April 2020. (機器學習人工智能領域頂級期刊,JCR1區)

                              7.Qiuping Jiang, Feng Shao, Wei Gao, Hong Li, and Yo-Sung Ho, “A Risk-Aware Pairwise Rank Learning Approach for Visual Discomfort Prediction of Stereoscopic 3D Images,” IEEE Signal Processing Letters, vol. 26, no. 11, pp. 1588-1592, Nov. 2019. (多媒體領域重要期刊,JCR2區)

                              8. Mingliang Zhou, Xuekai Wei, Chi-Keung Fong, Peter H. W. Wong, Wilson Y. F. Yuen, Shiqi Wang, Sam Kwong, and Wei Gao, “SSIM-Based Global Optimization for CTU-Level Rate Control in HEVC,” IEEE Transactions on Multimedia, vol. 21, no. 8, pp. 1921-1933, Aug. 2019. (多媒體領域頂級期刊,JCR1區)

                              9. Qiuping Jiang, Feng Shao, Wei Gao, Zhuo Chen, and Gangyi Jiang, “Unified No-Reference Quality Assessment of Singly and Multiply Distorted Stereoscopic Images,” IEEE Transactions on Image Processing, vol. 28 , no. 4, April 2019. (多媒體領域頂級期刊,JCR1區)

                              10. Yuheng Jia, Sam Kwong, Wenhui Wu, Ran Wang, and Wei Gao, “Sparse Bayesian Learning Based Kernel Poisson Regression,” IEEE Transactions on Cybernetics, vol. 49, no. 1, Jan. 2019. (機器學習與人工智能領域頂級期刊,JCR1區)

                              11. Wenhui Wu, Sam Kwong, Yu Zhou, Yuheng Jia, and Wei Gao, “Nonnegative Matrix Factorization with Mixed Hypergraph Regularization for Community Detection,” Information Sciences, vol. 435, 263-281, April 2018. (機器學習與人工智能領域重要期刊,JCR1區)

                              12. Yu Zhou, Sam Kwong, Wei Gao, and Xu Wang, “A Phase Congruency Based Patch Evaluator for Complexity Reduction in Multi-dictionary Based Single-image Superresolution Reconstruction,” Information Sciences, vol. 367-368, pp. 337-353, Nov. 2016. (機器學習與人工智能領域重要期刊,JCR1區)

                              13. Yu Zhou, Sam Kwong, Hainan Guo, Wei Gao, and Xu Wang, “Bi-level Optimization of Block Compressive Sensing with Perceptually Nonlocal Similarity,” Information Sciences, vol. 360, pp. 1-20, Sept. 2016. (機器學習與人工智能領域重要期刊,JCR1區)

                              14. Hui Yuan, Sam Kwong, Xu Wang, Wei Gao, and Yun Zhang, “Rate Distortion Optimized Inter View Frame Level Bit Allocation Method for MV-HEVC,” IEEE Transactions on Multimedia, vol. 17, no. 12, pp. 2134-2146, Dec. 2015. (多媒體領域頂級期刊,JCR1區)

                              美國專利:

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

                              2. Wei Gao, Sam Kwong, Chi Keung Fong, Hon Wah Wong, Hon Tung Luk, Hok Kwan Cheung, and Yiu Fai Yuen,“A Method for Initial Quantization Parameter Optimization in Video Coding,” United States Patent, US10560696B2, Feb. 11, 2020.

                              對計劃招收的碩士和博士研究生的基本要求:

                              1. 專業范圍:計算機科學技術、電子信息工程、通信工程、自動化與控制、應用數學等相關專業的本科和碩士畢業生。

                              2. 研究能力與其它要求:熟練的程序設計能力,具有較強的科研興趣與動力,具有一定的探索和創新精神,具有團隊合作意識,愿意以較高的標準嚴格要求自己。

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