智能信息處理與應用科研團隊

一👨🏼‍🍳、團隊簡介

智能信息處理與應用科研團隊由教授、青年博士8人組成🫛，團隊負責人為韓華👨🏽‍✈️。致力於模式識別、機器學習、人工智能等領域的研究。近年來，團隊成員先後獲得國家自然科學基金、上海市自然科學基金💁🏽‍♀️、上海市教育委員會和上海市教育發展基金會“晨光計劃”等眾多項目的資助。團隊成員每年在IEEE Internet of Things Journal👵🏻、IEEE Transactions on Intelligent Transportation Systems、IEEE Transactions on Systems, Man and Cybernetics: Systems、IEEE Transaction on Circuits and Systems for Video Technology🆗、IEEE/CAA Journal of Automatica Sinica等期刊發表多篇論文。

二🚴‍♀️、團隊負責人

韓華，博士👨🏻‍⚕️，教授🤷🏽‍♀️，晨光學者，IEEE高級會員🧝🏼‍♂️，曾在New Jersey Institute of Technology從事博士後研究工作。目前主要研究領域包括目標識別與跟蹤研究，行人重識別，智能計算等🪴。擔任EEE Transactions on Intelligent Transportation Systems副編輯🪓，並擔任IEEE Internet of Things Journal↩️、IEEE Transactions on Intelligent Transportation Systems、IEEE Transactions on Systems, Man and Cybernetics: Systems👵🏽、IEEE Transactions on Automation Science and Engineering、IEEE/CAA Journal of Automatica Sinica等多本國內外學術期刊審稿人。目前發表學術論文60余篇，其中SCI/EI檢索論文40篇。授權國家發明專利8項🤾🏼‍♂️，實用新型專利3項，軟件著作權3項👩‍🏫，出版英文專著1本。主持參與國家自然科學基金2項，上海市自然科學基金3項，上海市教育委員會和上海市教育發展基金會“晨光計劃”1項。

三、團隊主要成員

1.趙曉麗

工學博士🏃‍♀️🧑🏽‍🚒，副教授，碩士研究生導師👊🏽。CCF和ACM會員🤲🏽🧑🏽‍🏫。曾於2014.9-2015.9在美國加州大學聖巴巴拉分校計算機科學系 four eyes實驗室做高級訪問學者🦹‍♀️，導師為計算機視覺方面的專家Matthew Turk。近年來主持和參與國家自然科學基金項目3項；科技創新2030-“新一代人工智能”重大項目課題四執行人；上海市科委“科技創新行動計劃”1項，上海市一流課程1項🌼；橫向項目若幹項🫴🕋。擔任若幹期刊審稿人。第一作者（通訊作者）發表學術論文10余篇🚃🚶🏻，其中SCI 論文10余篇🙆🏿‍♂️，EI期刊論文5篇🧢🐈‍⬛，其他核心期刊論文若幹篇。

2. 商習武

工學博士，加拿大西蒙弗雷澤大學聯合培養博士，北京大學訪問學者，主要研究方向為視頻編解碼👰🏿‍♂️、多媒體信息處理。主持國家自然科學基金青年基金🧛🏽‍♀️、上海市教委等多個項目，參與國家重點研發計劃、面上及企業橫向項目等😟。參與中國音視頻編解碼標準AVS製定，提交十余項提案🧑🏿‍🎄🙍‍♀️，發表多媒體領域國際著名會議與期刊二十余篇，包括TCSVT,TMM,ICME等🧔🏻。擔任包括TIP,TCSVT,TMM在內的多個國際學術期刊審稿人。

3.黃麗

博士🎬，講師，碩士生導師，東華大學本碩博🙋🏼‍♂️，美國新澤西理工恒达聯合培養博士生。現主持國家自然科學基金青年項目1項、上海高校青年教師培養資助計劃重點推薦項目1項。主要研究方向為機器人學與智能系統🤘🏻、智能優化算法等🙍🏼‍♂️，發表論文10余篇，其中以第一作者發表SCI一區論文4篇。

四♿、主要論文及專利成果

1. Li Huang, M. Zhou, K. Hao and H. Han, Multirobot Cooperative Patrolling Strategy for Moving Objects, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 5, pp. 2995-3007, May 2023.

2. Xiwu Shang, Guozhong Wang, Jie Liang, Xiaoli Zhao, Hua Han and Yifan Zuo, Color-Sensitivity-Based Rate-Distortion Optimization for H.265/HEVC, IEEE Transaction on Circuits and Systems for Video Technology (TCSVT), vol. 32, no. 2, pp. 802-812, 2022.

3. Xiwu Shang, Guoping Li, Xiaoli Zhao, Yifan Zuo, Low complexity inter coding scheme for Versatile Video Coding (VVC), Journal of Visual Communication and Image Representation, 90:103683, 2023.

4. A.A.M.Muzahid, Wan Wanggen, Ferdous Sohel, Mohammed Bennamoun, Li Hou, Hidayat Ullah, Progressive conditional GAN-based augmentation for 3D object recognition, Neurocomputing, 473(2022): 20-30, 2022.

5. Hua Han, Wenjin Ma, Mengchu Zhou, Qiang Guo, and Abusorrah Abdullah,  A Novel Semi-supervised Learning Approach to Pedestrian Re-Identification, IEEE Internet of Things Journal, vol. 8, no. 4, pp. 3042-3052, Feb, 15, 2021.

6. Muzahid, A.A.M. M, Wan, Wanggen, Sohel, Ferdous, Wu, Lianyao, Hou, Li, CurveNet: Curvature-Based Multitask Learning Deep Networks for 3D Object Recognition, IEEE/CAA Journal of Automatica Sinica, 8(6): 1177-1187, 2021.

7. Hua Han, Mengchu Zhou, Xiwu Shang, Wei Cao, Abdullah Abusorrah, KISS+ for Rapid and Accurate Pedestrian Re-identification, IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 1, pp. 394-403, Jan, 2021.

8. Hua Han, Mengchu Zhou, Yujin Zhang, Can Virtual Samples Solve Small Sample Size Problem of KISSME in Pedestrian Re-identification of Smart Transportation?, IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 9, pp. 3766-3776, Sep, 2020.

9. Li Huang, Y. Ding, M. Zhou, Y. Jin and K. Hao, Multiple-Solution Optimization Strategy for Multirobot Task Allocation, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 11, pp. 4283-4294, 2020.

10. Li Huang, M. Zhou and K. Hao, "Non-dominated Immune-endocrine Short Feedback Algorithm for Multi-robot Maritime Patrolling," IEEE Transactions on Intelligent Transportation Systems. vol. 21, no. 1, pp. 362-373, 2020.

11. Xiwu Shang, Jie Liang, Guozhong Wang, Haiwu Zhao, Chengjia Wu, Chang Lin, Color-Sensitivity-based Combined PSNR for Objective Video Quality Assessment, IEEE Transaction on Circuits and Systems for Video Technology (TCSVT), 29(5), pp. 1239-1250, 2019.

12. Xiwu Shang, Haiwu Zhao, Guozhong Wang, Yifan Zuo, A novel quality assessment method for transcoded videos from H.264/AVC to H.265/HEVC utilizing probability theory, IEEE Transactions on Broadcasting（TBC）, 65(4), pp. 777-781, 2019.

13. Li Huang, M. C. Zhou, K. R. Hao, and E. Hou, “A survey of multi robot regular and adversarial patrolling,”  IEEE/CAA Journal of Automatica Sinica, vol. 6, no. 4, pp. 865-874, July 2019.

[14]Xiaoli Zhao*, Jenq-Neng Hwang, Zhijun Fang, Guozhong Wang. Gradient-based adaptive particle swarm optimizer with improved extremal optimization. Applied Intelligence，48(12): 4646-4659🙍🏼🔥，2018.

[15] Xiaoli Zhao*, Matthew Turk, Wei Li, Kuo-chin Lien, Guozhong Wang. A multilevel image thresholding segmentation algorithm based on 2D K-L divergence and modified particle swarm optimization.Applied Soft Computing, 6, 48: 151-159, 2016.