PROGRAM OVERVIEW

The College was approved to offer the Ph.D. degree program in Computer Science and Technology in 2018.The Computer Science is structured into four research areas which include Computer Architecture, Computer Software and Theory, Big Data Technology and Applications, Graph and Image Processing. We are equipped with outstanding faculty teams, platforms, research ability and training.

CORE COURSES

Machine Learning, Stochastic Process, Data Mining

CAREER PROSPECTS

Industry, Postdoc, Research Institute, etc.

Consultation

Email: gracejiang@szu.edu.cn

英文名

VICTOR CHUNG MING LEUNG

聯系郵箱

vleung@ieee.org

中文簡介

加拿大工程院院士、工程學會會士和皇家學會科學院院士。現為深圳大學計算機與軟件學院全職特聘教授。目前的主要研究領域為移動計算、智聯網、人工智能。

曾任加拿大 UBC大學計算機工程系講座教授，曾獲選 IEEE通信學會的杰出報告人，擔任IEEE多個期刊的編委，發表1400余篇學術論文和著作，最近三年是 Clarivate Analytics 認定的高引作者, 并在眾多國際會議組織中發揮領導作用。近年承擔多項重要科研項目，如“珠江人才計劃”引進創新創業團隊項目，加拿大NSERC基金項目等。

英文簡介

 Academician of the Canadian Academy of Engineering, the Engineering Institute of Canada, and the Royal Society of Canada - Academy of Science; full-time distinguished professor in the College of Computer Science and Software Engineering at Shenzhen University. Main research areas: mobile computing, intelligent networking and artificial intelligence.

I was as a professor and research chair in the Department of Electrical and Computer Engineering at the University of British Columbia in Canada. I had served as a Distinguished Speaker of IEEE ComSoc, and had served/is serving on the editorial board of many IEEE journals. I have published more than 1400 refereed academic papers, and have been recognized as a highly cited author by Clarivate Analytics since 2019. I have played a leading role in the organization of many international conferences. In recent years, I have undertaken a number of important scientific research projects, such as the "Pearl River talent plan" innovation and entrepreneurship team project, Canadian NSERC funded projects, etc.

英文名

Daming Shi

聯系郵箱

dshi@szu.edu.cn

中文簡介

石大明教授先后從中國及英國獲得機械工程博士學位及計算機科學博士學位。自2016年起，在深圳大學受聘為特聘教授。加入深圳大學之前，在新加坡南洋理工大學任助理教授，并在英國密德薩斯大學任教授職位。石大明教授主要的研究領域為圖像處理和人工智能，并在IEEE TPAMI, IEEE TIP, IEEE IFS等知名期刊上發表了多篇學術論文，在CVPR, ICCV等頂級會議上也多次發表論文。此外，石大明教授還主要參與了由A*STAR Singapore, FP-7 EU, MOST及NSFC等基金支持的重點項目。

英文簡介

Prof. Shi got his first PhD in Mechanical Engineering from China, and his second PhD in Computer Science from UK. He has been appointed as a Distinguished Professor at Shenzhen University since 2016. Before that he served as an Assistant Professor at Nanyang Technological University in Singapore, and Professor at Middlesex University in UK. Prof Shi’s current research is focused on image processing and artificial intelligence, with quite a number of publications in reputable journals such as IEEE TPAMI, IEEE TIP, IEEE TFS and top conferences such as CVPR, ICCV etc. In addition, Prof Shi has been principal investigators of many major projects funded by A*STAR Singapore, FP-7 EU, MOST and NSFC China.

英文名

YINGYING ZHU

聯系郵箱

zhuyy@szu.edu.cn

中文簡介

朱映映教授的研究方向主要為人工智能，計算機視覺，多媒體大數據挖掘等。現擔任深圳大學計算機學院未來媒體技術與計算研究所常務副所長，中國計算機學會多媒體技術專委委員，廣東省科技計劃專家，深圳市高新技術企業認定專家等。作為項目負責人主持多項國家自然科學基金項目，廣東省自然科學基金項目，深圳市自然科學基金項目等。已在計算機TOP會議，國際TOP期刊，國內TOP學報、SCI期刊、EI會議等發表論文近50篇，專利5項，軟件著作權2項。實驗室具備優秀的軟硬件環境（如，16塊Tesla V100 GPU 等）。同時，與華為、平安科技、大疆等上市公司有著深入的科研合作，有著較強的項目研發經驗與充足的研究經費。

英文簡介

Prof. Yingying Zhu’s research interests are mainly in artificial intelligence, computer vision, multimedia big data mining. She is currently the executive vice director of Research Institute for Future Media Computing, College of Computer Science and Software Engineering, Shenzhen University. As a project leader, she has presided over several projects, such as National Natural Science Foundation of China (NSFC), Natural Science Foundation of Guangdong Province of China, etc. She has published nearly 50 papers in computer TOP conferences, international TOP journals, SCI journals, EI conferences, etc., 5 patents and 2 software copyrights. Her laboratory has excellent software and hardware environment (e.g., 16 Tesla V100 GPUs, etc.). Meanwhile, she has in-depth scientific cooperation with HUAWEI, PING AN TECHNOLOGY, DJI and other listed companies, and has strong project R&D experience and sufficient research funds.

英文名

Xiaojun Chen

聯系郵箱

xjchen@szu.edu.cn

中文簡介

陳小軍，深圳大學大數據技術與應用研究所所長助理。本碩博畢業于哈爾濱工業大學。曾先后在香港大學、中科院深圳先進技術研究院及深圳大學工作。從事數據挖掘及機器學習研究10余年，在相關的國際學術期刊和會議上發表SCI/EI檢索論文70 余篇，包括計算機學會推薦的A 類論文（CCF A）30余篇（發表在期刊TKDE、IJCV、TIP及會議IJCAI、AAAI、SIGIR、ICCV、ICDE上），以及20余篇IEEE Transactions高水平論文。主要研究內容涉及面向多模態數據的無/半/有/弱監督學習、異常檢測等技術。擔任多個國際會議（AAAI、IJCAI、WWW等）及國際期刊（IEEE TPAMI/ TNNLS/ TKDE/ TCYB等）的審稿人。開發了多個數據挖掘開源軟件及一系列數據挖掘算法。在聚類方面的工作獲得了廣東省自然科學二等獎，及深圳市自然科學二等獎。

英文簡介

Xiaojun Chen received the bachelor's degree, master’s degree and doctorate from Harbin Institute of Technology. He has worked in the University of Hong Kong (HKU) and Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Science (CAS) . He is now an Associate Professor in the College of Computer Science and Software, Shenzhen University. He has focused on data mining and machine learning over 10 years, and published more than 70 SCI/EI papers, including more than 30 CCF A and JCR ranked top 1 papers in  TKDE、IJCV/TIP/IJCAI/AAAI/SIGIR/ICCV/ICDE. His research interests include unsupervised/semi-supervised/weak-supervised learning and anomaly detection for multi-modal data. He served as reviewers/program chair for TPAMI/TNNLS/TKDE/TCYB/AAAI/IJCAI/WWW. He has developed many data mining systems and packages. He won the second prizes of Natural Science in both Guangdong Province and Shenzhen, due to the contribution in clustering.

英文名

CHEN Jie

聯系郵箱

chenjie@szu.edu.cn

中文簡介

本人于2018年作為專職副研究員加入深圳大學計算機與軟件學院，并在2021成為深圳大學助理教授。本人2013年獲得新加坡國立大學人工智能方向博士學位，并獲得優秀博士生研究生獎。博士畢業后加入麻省理工學院-新加坡聯合研究所從事博士后研究。本人作為程序委員會成員長期服務IJCAI, AAAI, CVPR, RSS, and ICRA等頂級會議。本人致力于研究可信機器學習算法(具備可解釋 、隱私數據可受保護且高魯棒性)與多智能體系統，并應用于各種現實場景，例如，機器人、智能環境監控、智能交通系統、智能醫療系統、合成生物智能計算等。

英文簡介

CHEN Jie received his Ph.D degree in AI from National University of Singapore (NUS) in 2013. He received Dean's Graduate Research Excellence Award from NUS in 2013. He was a postdoctoral associate at Singapore-MIT Alliance for Research and Technology (SMART). He was a program committee member in IJCAI, AAAI, CVPR, RSS, and ICRA. He joined Shenzhen University as a research associate since 2018 and become an assistant professor since 2021. His research interests include trustworthy machine learning (i.e., interpretable, robust, privacy-preserving learning models), multi-agent system, and the applications in robotics/intelligent transportation system/intelligent healthcare system/AI-Driven Synthetic Biology.

英文名

JIANG JIANMIN

聯系郵箱

Jianmin.jiang@szu.edu.cn

中文簡介

江健民目前是深圳大學計算機軟件學院特聘教授，及未來媒體技術與計算研究所所長。回國前任英國布拉德福大學信息學院講席教授及數字媒體與系統研究所所長，英國薩里大學計算機系講席教授。2000年獲國家基金委海外杰青B類項目，發表論文近400余篇。2014-2018連續五年進入ELSEVIER中國計算機科學高被引學者榜單.學術兼職包括：2019-至今為國際知名期刊IET Image Processing Associate Editor; 2006-2015為國際知名期刊Image and Vision Computing Journal Associate Editor, ELSEVIER，2002-2015為英國IET Fellow.2004-2013: 歐盟第六第七框架科研計劃咨詢專家委員。目前的主要研究方向是深度學習在多媒體內容分析和理解中的應用，以及腦臆想多媒體的深度分析及可視呈現。

英文簡介

Jianmin Jiang received PhD from the University of Nottingham, UK, in 1994. From 1997 to 2001, he worked as a full professor of Computing at the University of Glamorgan, Wales, UK. In 2002, he joined the University of Bradford, UK, as a Chair Professor of Digital Media, and Director of Digital Media & Systems Research Institute. He worked at the University of Surrey, UK, as a full professor during 2010-2015 and a distinguished chair professor (1000-plan) at Tianjin University, China, during 2010-2013. He is currently a Distinguished Chair Professor and director of the Research Institute for Future Media Computing at the College of Computer Science & Software Engineering, Shenzhen University, China. He was a chartered engineer, fellow of IEE(IET), fellow of RSA, member of EPSRC College in the UK, and EU FP-6/7 evaluator. His research interests is primarily focused on deep learning applications in multimedia content understanding and analysis, brain perceived pattern recognition and intelligent image/video processing. He has published around 400 refereed research papers in international leading journals and conferences.

英文名

Zhong Ming

聯系郵箱

mingz@szu.edu.cn

中文簡介

明仲,教授,深圳大學研究生院執行院長。領導團隊在人工智能，機器學習，云計算+智能，推薦系統，軟件工程等方面開展工作。主持國家自然科學基金重點項目《類人任務規劃、推理及其驗證系統的研究和應用》，面上項目4項，并且與華為在學生培養，科研創新保持長期密切合作。成果曾獲得2019年 “吳文俊人工智能科學技術獎”一等獎、2014年廣東省科學技術一等獎（排名第一）、2018年中國電子學會科技進步一等獎（排名第一）。

英文簡介

Ming Zhong, Professor, executive dean of Graduate School of Shenzhen University. Lead the team to carry out work in artificial intelligence, machine learning, cloud computing plus intelligence, recommendation system, software engineering, etc. Presided over the key project of National Natural Science Foundation of China "A Human-like Task Planning, Reasoning and Verification System", in addition 4 general projects, and maintained long-term close cooperation with Huawei in student training, scientific research and innovation. The achievements have won the first prize of "Wu Wenjun artificial intelligence science and Technology Award" in 2019, the first prize of science and technology of Guangdong Province in 2014 (ranking first), and the first prize of scientific and technological progress of China Institute of electronics in 2018 (ranking first).

英文名

PHILIPPE FOURNIER-VIGER

聯系郵箱

philfv@szu.edu.cn

中文簡介

英文簡介

Philippe Fournier-Viger is distinguished professor and national talent (青年千人). He published over 330 research papers and edited 4 books on data mining, machine learning, and applications. The papers have received more than 10,000 citations (H-Index >50). He is also the founder of the popular SPMF data mining library, offering more than 230 algorithms, cited in more than 1,000 papers. He is editor-in-chief of Data Science and Pattern Recognition and former associate editor-in-chief of Applied Intelligence (SCI, Q2. He published many papers in top journals/venues such as JMLR, TKDE, ICDM, ICDE, PAKDD, and TKDD, and he is keynote speakers for numerous conferences every year, in China and abroad, and received six best paper awards at international conferences.

Research directions: My team works mainly on the design of data mining algorithms and machine learning models to analyze complex data such as temporal data, graphs, and sequences. We are interested in finding insightful patterns in data and also tasks such as predictions. We also have some interest in bioinformatics. The choice of a research topic is open to discussion and you are welcome to discuss with me. See my webpage for some examples of recent topics: http://www.philippe-fournier-viger.com/publications.php

英文名

Fei Chen

聯系郵箱

fchen@szu.edu.cn

中文簡介

陳飛，博士，2008、2011、2014 年分別于重慶大學計算機學院、重慶大學計算機學院、香港中文大學計算機科學與工程系獲學士、碩士、博士學位。2009、2013、2014年分別于中國科學院信息安全國家重點實驗室、阿里巴巴集團數據庫團隊、維也納理工大學，做訪問研究。主要從事數據保護與隱私，及網絡與信息安全方向研究工作。

英文簡介

Fei Chen is an associate professor of College of Computer Science and Software Engineering, Shenzhen University, China. He received a PhD degree in 2014 from Department of Computer Science and Engineering, The Chinese University of Hong Kong. He visited the distributed system group at Vienna University of Technology in 2014; he also visited the database team of the Alibaba Group in 2013, and the state key laboratory of information security of the Chinese Academy of Science in 2009. His research interest is data protection and privacy.

英文名

Li Jianqiang

聯系郵箱

lijq@szu.edu.cn

中文簡介

李堅強教授申請人長期致力于機器人與智能系統網絡協同的理論與技術研究，提出了多源異構數據協同感知方法、動態優化網絡切分與調度方法以及混合系統模型下的分析處理方法等，有效提高了系統感知與分析決策能力。李堅強教授擔任國家重點研發計劃項目首席科學家，入選國家級青年人才，廣東省杰青，大數據國家工程實驗室執行主任。主持國家重點研發計劃項目1項，國家基金重點項目1項，面、青項目3項，發表論文200余篇，近5年SCI論文92篇，中科院一區59篇，Science子刊1篇，IEEE匯刊42篇，谷歌引用4652次，SCI引用2729次，高被引9篇，熱點2篇。申請專利49項（已獲批24項），專利授權中興、中廣核等公司，經審計經濟效益超13.6億元，第一完成人榮獲吳文俊人工智能科技進步一等獎、廣東省科技進步二等獎等，4次榮獲省教學成果一等獎。擔任IEEE匯刊等7個期刊編委，2021年入選斯坦福大學評選的全球頂尖科學家終身影響力榜單。

英文簡介

    Professor Li Jianqiang has been committed to the theoretical and technical research on robotics and intelligent systems, specifically, in the fields of collaborative perception, network collaboration, analysis and processing. He proposed the collaborative perception algorithm of multi-source heterogeneous data integration, dynamic scheduling & optimization of network segmentation method, and the model-based finite time switched hybrid system modeling and analysis framework. The methods can improve the ability of sensory processing, increase the network security transmission and computational efficiency, and reduce the modeling complexity. He was selected as the chief scientist of national key R & D projects, the national youth talent, the distinguished youth of Guangdong Province and the executive director of big data National Engineering Laboratory. He has been in charge of 1 national key R & D plan project, 1 national fund key project, 3 general youth projects. More than 200 papers have been published in recent five years, among them, there are 92 SCI indexed, 59 in the first district of the Chinese Academy of Sciences, 1 science sub journal, 42 IEEE Transactions, 4652 citations by Google, 2729 citations by SCI, 9 high citations and 2 hot spots paper. 49 national patents (24 authorized) have been applied, and authorized ZTE, CGN and other companies. Moreover, after audit, the economic benefit exceeded 1.36 billion yuan. He also won the first prize of Wu Wenjun's Artificial Intelligence cientific and technological progress award, the second prize of Guangdong rovincial Scientific and technological progress award as the first accomplisher, and the first prize of Provincial Teaching Achievement Award for four times. He served as the editorial board of seven journals including IEEE Transactions, and has been selected into the list of the world's top scientists' lifelong influence by Stanford University.

英文名

JIANBIN QIN

聯系郵箱

qinjianbin@szu.edu.cn

中文簡介

秦建斌教授，是國家青年特聘專家、深圳計算科學研究院研究科學家。本科畢業于東北大學，博士畢業于澳大利亞新南威爾士大學，歸國前在愛丁堡大學數據庫做研究員。曾在百度搜索引擎研發部，微軟Bing搜索引擎研發部，Google知識圖譜部門從事研發工作。主要研究方向是數據庫理論，數據庫系統，相似性查詢，信息檢索，數據治理等。曾獲得ACM SIGMOD 2011 最佳論文提名并被邀稿ACM TODS，獲得IEEE ICDE 2018 最佳論文提名并被邀稿IEEE TKDE，CISRO最佳論文獎，DASFAA最佳學生論文，提出了通用的鴿巢原理模型（GPH）和鴿圈原理（Pigeonring）等基礎理論用于高性能的相似度查詢系統。2021年被認定為深圳市“孔雀計劃”海外高層次人才（B類）。

英文簡介

Professor JIANBIN QIN is a national young distinguished expert and a research scientist at the Shenzhen Institute of Computing Science. He graduated with a PhD from the University of New South Wales, Australia. He worked as a researcher at the University of Edinburgh database before returning to China. He has worked in the research and development departments of Baidu and Microsoft search engines and the knowledge graph department of Google. His main research direction is database theory, database system, similarity query, information retrieval, data management, etc. He was nominated for the best paper of ACM SIGMOD 2011 and was invited to draft ACM TODS, and was selected for the best piece of IEEE ICDE 2018 and draw IEEE TKDE. In addition, he has won the CISRO Best Paper Award and the DASFAA Best Student Paper Award. He put forward fundamental theories such as the general pigeon nest principle model (GPH) and pigeon ring principle (Pigeonring) for high-performance similarity query systems. In 2021, he was recognized as a high-level overseas talent (Category B) of Shenzhen "Peacock Project".

英文名

Shunquan Tan

聯系郵箱

tansq@szu.edu.cn/tanshunquan@gmail.com

中文簡介

譚舜泉，工學博士，副教授，深圳大學特聘研究員。2007年至今在深圳大學計算機與軟件學院擔任教師，深圳市媒體信息內容安全重點實驗室副主任。IEEE Senior Member，中國圖像圖形學學會數字媒體取證與安全專委會委員。國際期刊EURASIP Journal on Information Security副主編。作為主要完成人，所承擔的項目“信息隱藏理論與方法”榮獲2019年中國計算機協會科學技術獎自然科學一等獎。近五年來一直從事深度學習框架（包括深度卷積神經網絡、遞歸神經網絡、強化學習模型）在多媒體取證、多媒體安全領域的應用，DeepFake等深度學習人臉篡改技術的檢測及對抗。

英文簡介

Dr. Shunquan Tan is currently an Associate Professor with Shenzhen University, China. He is now the associate director of Shenzhen Key Laboratory of Media Security. He received the B.S. degree in computational mathematics and applied software and the Ph.D. degree in computer software and theory from Sun Yat-sen University, Guangzhou, China, in 2002 and 2007, respectively. He was a Visiting Scholar with New Jersey Institute of Technology, Newark, NJ, USA, from 2005 to 2006.

His current research interests include Multimedia information security, steganography and steganalysis, digital media forensics, deep machine learning, pattern recognition, AI security, and IoT security. He has published more than 50 journal and conference proceeding papers.

Now he is IEEE Senior Member and Member of Digital Media Forensics and Security Professional Committee of China Society of Image and Graphics. He also serves as Associate Editor of EURASIP Journal on Information Security. He has received a number of research grants with more than 5 million RMB yuan totally as a principal or co-principal investigator.

英文名

Serena，Zhang

聯系郵箱

Zhangd@szu.edu.cn

中文簡介

深圳大學計算機與軟件學院的副教授，國家高性能中心深圳分中心成員、電氣電子工程師學會(IEEE)成員、中國計算機學會(CCF)成員，美國人工智能協會( AAAI)終身會員，深圳市海外高層次人才。2010年獲香港科技大學計算機科學與工程系博士學位。張滇有豐富的海外教學和科研經歷，她的研究興趣包括數據分析和移動計算。近年來，她的研究成果發表在國際知名會議和期刊上40余篇，包括SIG KDD, IEEE TMC, TPDS, INFOCOM, ICDCS,PERCOM, WCM 等。此外，張滇主持了多個研究項目，包括國家自然科學基金面上項目和青年項目，廣東省自然科學基金，深圳基礎研究項目，孔雀項目等。張滇獲得過多項獎勵包括中國教育部自然科學二等獎（第2完成人），2013 IBM Faculty Award, 2015 Shenzhen Peacock Talent Award 及2019 中國太平洋保險公司(深圳)研究成就獎。

英文簡介

Prof. Zhang is an Associate Professor at the College of Computer Science and Software Engineering, Shenzhen University. She is also an adjunct associate professor at Department of Computing and Decision Sciences, Lingnan University, Hong Kong. She received her PhD in Department of Computer Science and Engineering, Hong Kong University of Science and Technology in 2010 under the supervision of Prof. Lionel M. Ni. Her research interests span over big data analytics, mobile computing, Internet of Things. Her research works have been published in many international well-known journals and conferences, including IEEE transaction on Mobile Computing (TMC), IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Internet of Things Journal, IEEE INFOCOM, IEEE ICDCS, IEEE PERCOM, IEEE Big Data. Her work has been widely cited by prestigious institutes such as Stanford University, McGill University, Tsinghua University. She is the PI of many research projects including the National Natural Science Foundation of China, Shenzhen Peacock projects. She is the recipient of 2018 Ministry of Education of China 2nd Class Academic Research Outstanding Award in Nature Science (中國教育部自然科學二等獎), 2013 IBM Faculty Award, 2015 Shenzhen Peacock Talent Award and 2019 China Pacific Insurance Research Achievement Award.

英文名

      Zhihui Lai

聯系郵箱

laizhihui@szu.edu.cn

lai_zhi_hui@163.com

中文簡介

賴志輝，男，博士、教授、博士生導師。博士畢業于南京理工大學模式識別與智能系統專業。他曾任香港理工大學研究員、博士后研究員及研究員，已發表了200多篇學術論文，其中有50多篇發表在IEEE Transactions系列權威雜志上。賴志輝于2015年入選深圳市海外高層次人才“孔雀計劃”，現任國際SCI期刊International Journal of Machine Learning and Cybernetics的編委。他的主要研究興趣是圖像處理與模式識別、醫學圖像分析、深度學習與大數據哈希學習。詳情見個人主頁http://www.scholat.com/laizhihui。

英文簡介

Zhihui Lai (賴志輝) received the B.S degree in mathematics from South China Normal University, M.S degree from Jinan University, and the PhD degree in pattern recognition and intelligence system from Nanjing University of Science and Technology (NUST), China, in 2002, 2007 and 2011, respectively. He has been a research associate, postdoctoral fellow and research fellow since 2010 at The Hong Kong Polytechnic University. He also has been a Postdoctoral Fellow at Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology (HIT) for 2011-2013. He has published over 200 scientific articles, including more than 50 IEEE Transactions. He won the best paper award in 2008 Chinese Conference on Pattern Recognition. He was recognized as Overseas High-Caliber Personnel of Shenzhen (Peacock Plan) in 2015, and has been listed as the top 2% scientists in the world. Now, he is a professor of the College of Computer Science and Software Engineering, Shenzhen University. He is currently an Associate Editor of the International Journal of Machine Learning and Cybernetics. His research interests include medical image processing, pattern recognition, big data hash learning, deep learning, human vision modelization and their applications in the fields of intelligent robot research.

For more information, please see the following website:  http://www.scholat.com/laizhihui.

英文名

Qiao Yan

聯系郵箱

yanq@szu.edu.cn

中文簡介

2003年在西安電子科技大學獲得信息與通信工程博士學位。 2004年到清華大學做博士后，從事網絡安全、人工智能、物聯網的相關研究工作。2006年到深圳大學從事教學和科研工作，2009年起擔任教授。2013-2014年在加拿大卡爾頓大學訪問交流一年。當前研究興趣集中在網絡安全、機器學習、區塊鏈等。已經在JCR一區等期刊發表論文100多篇，先后有8篇論文為ESI高被引論文。Google Scholar統計引用4000余次。主持或作為主要研究人員參加過國家973項目、國家863項目、國家自然科學基金項目、中國博士后科學基金項目、廣東省科技計劃項目等多項國家級和省級科研項目以及多個橫向項目。獲得過吳文俊人工智能科學技術獎(一等)、廣東省科技進步獎（二等），深圳市科技創新獎、深圳市科技進步獎、深圳市優秀博士后等多個獎項。

英文簡介

She received her Ph.D. degree in Information and Communication Engineering from Xidian University in 2003.In 2004, she was a postdoctoral fellow at Tsinghua University, engaged in the research of network security, artificial intelligence and Internet of Things. She joined Shenzhen University in 2006 for teaching and research, and has been a professor since 2009.From 2013-2014 she visited Carleton University, Canada.  Her current research interests focus on cybersecurity, machine learning. She has published more than 100 papers in JCR and other journals, and 8 papers are ESI highly cited papers. In Google Scholars she has more than 4000 citations. She has participated in many national and provincial scientific research projects, such as the National 973 Project, the National 863 Project, the National Natural Science Foundation project, the China Postdoctoral Science Foundation project, and the Guangdong Science and Technology Plan project. She got Wu Wenjun Artificial Intelligence Science and Technology Award (First Class), Guangdong Science and Technology Progress Award (second class), Shenzhen Science and Technology Innovation Award, Shenzhen Science and Technology Progress Award, Shenzhen Excellent Postdoctoral Award and other awards.

英文名

Linlin Shen

聯系郵箱

LLShen@szu.edu.cn

中文簡介

沈琳琳教授, 2015-2023連續9年被愛思唯爾出版社評為計算機學科“中國高被引學者”，2020-2022連續入圍斯坦福大學“科學影響力全球前2%科學家榜單”。現為深圳市“鵬城學者”特聘教授、英國諾丁漢大學計算機學院榮譽教授；大數據系統計算技術國家工程實驗室副主任、廣東省中英合作視覺信息處理實驗室主任、深圳大學計算機視覺研究所所長、深圳大學醫學影像智能分析與診斷研究中心主任。期刊《Cognitive Computation and Systems》常務副主編（Co-Editor-in-Chief）、《Expert Systems with Applications》副編輯（Associate Editor）。研究方向主要為深度學習理論及其在人臉識別/分析以及醫學圖像分析上的應用。2023年5月帶領團隊開源首個中文百億參數大模型“伶荔”，被金融等垂直行業廣泛使用。

英文簡介

Professor Linlin Shen received the BSc and MEng degrees from Shanghai JiaoTong University, Shanghai, China, and the Ph.D. degree from the University of Nottingham, Nottingham, UK. He was a Research Fellow with the University of Nottingham, working on MRI brain image processing. Prof. Shen is currently the “Pengcheng Scholar” Distinguished Professor at School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China. He is also an Honorary professor at School of Computer Science, University of Nottingham, UK and Visiting Professor at School of Computer Science, University of Nottingham, Ningbo, and Wenzhou-Kean University, Wenzhou, China. He serves as the director of Computer Vision Institute, AI Research Center for Medical Image Analysis and Diagnosis and China-UK joint research lab for visual information processing. He also serves as the Co-Editor-in-Chief of the IET journal of Cognitive Computation and Systems.

He is listed as the “Most Cited Chinese Researchers” by Elsevier, and listed in a ranking of the “Top 2% Scientists in the World” by Stanford University. He received the Most Cited Paper Award from the journal of Image and Vision Computing. His cell classification algorithms were the winners of the International Contest on Pattern Recognition Techniques for Indirect Immunofluorescence Images held by ICIP 2013 and ICPR 2016.

英文名

Mao Rui

聯系郵箱

mao@szu.edu.cn

中文簡介

毛睿，男，長江特崗學者，深圳大學特聘教授，博導，主要領域通用大數據處理；中國科學技術大學計算機學士和碩士、美國得克薩斯大學奧斯汀分校統計碩士和計算機博士、曾任甲骨文美國公司高級工程師；現任深圳大學大數據系統計算技術國家工程實驗室副主任，深圳計算科學研究院執行院長；提出了應對多樣性挑戰的大數據泛構模式，建立了基于度量空間的通用大數據管理分析理論框架，獲5項國家/省部級教學/科研獎勵。

英文簡介

Prof. Rui Mao received BS(1997) and MS(2000) in computer science from the University of Science and Technology of China, and MS(2006) in statistics and Ph.D.(2007) in computer science from the University of Texas at Austin. After three years work at the Oracle USA Corporation, he joined Shenzhen University in 2010. He is now a Distinguished Professor at the College of Computer Science and Software Engineering, Shenzhen University, and Executive Director of the Shenzhen Institute of Computing Sciences. His research mainly focuses on metric-space data processing.

英文名

Xizhao Wang

聯系郵箱

xzwang@szu.edu.cn

中文簡介

王熙照，博士，深圳大學教授，博士生導師，IEEE Fellow, IEEE-SMC計算智能專委會主席，Springer雜志Machine Learning and Cybernetics主編。中國人工智能學會（CAAI）常務理事、CAAI Fellow、CAAI知識工程專委會主任委員。深圳市海外高層次人才，曾獲省部級自然科學一等獎和吳文俊人工智能自然科學一等獎。

1998年博士畢業于哈爾濱工業大學計算機系；1998-2001年香港理工大學計算科學系任研究員；2000-2014年任河北大學數學與計算機學院院長；2007-2014年河北省機器學習重點實驗室主任；2013-2014加拿大Simon Fraser大學訪問教授，2014年至今深圳大學計算機學院教授。

主要研究興趣包括不確定性感知的機器學習和大數據分析，提出了“模糊示例學習”的概念，并將這一概念擴展到基于不確定性理論的機器學習框架下，其研究持續至今。在該領域發表學術論文280多篇；Google Scholar搜索顯示，到2021年12月，論文累計引用次數超過11675次，單篇最高引用超過920次，SCI-H指數為54，著有《基于不確定性的決策樹歸納》和《Learning with Uncertainty》等著作；連續7年入選Elsevier統計的中國高被引學者，2019和2020連續兩年入選Clarivate統計的全球1%高被引科學家。主持完成國家自然科學基金等項目30多項；累計完成指導博士/碩士學位研究生200多名；曾擔任多個國際/國內學術會議的大會或程序主席，創立的機器學習與控制國際會議（ICMLC）已持續20年。

英文簡介

Xizhao Wang (M’03-SM’08-F’12) was a Research Fellow in the Hong Kong Polytechnic University until 2001 after receiving his doctorate degree in 1998. He served as the Dean of Computer Sciences College in Hebei University, China from 2000 to 2014. In 2014, he joined Shenzhen University, China as a professor and a director of the Big Data Institute.

Dr. Wang’s current research interests include uncertainty-aware machine learning and big data analysis. He pioneered the research on Machine Learning in uncertain environment. His research highlights can be briefly summarized as, digging the distribution of (big) data by modeling uncertainty, and then using distributed parallel technology to design and implement classification and clustering algorithms for different tasks in cybernetics. He published several monographs and textbooks, and over 280 research papers at conferences and in journals in the above topics. His works have been cited 11,675 times since 2016 according to Google scholar. He was selected as a Highly Cited Researcher by Clarivate in 2019 and 2020, in recognition of exceptional research performance demonstrated by production of multiple highly cited papers that rank in the cross-field top 1%.

Dr. Wang was a recipient of the Outstanding Contribution Award in 2004 and the Best Associate Editor Award in 2006 from the IEEE SMCS Society. He served as a member of the Governing Boards in the IEEE SMC Society (2007-2009, 2012-2014). He is an IEEE Fellow (2012), a CAAI Fellow (2017), and the Editor-in-Chief of Springer Journal Machine Learning and Cybernetics (from 2010 to present).

英文名

Hao Liao

聯系郵箱

haoliao@szu.edu.cn

中文簡介

  深圳大學計算機與軟件學院長聘副教授，2015年5月在瑞士弗里堡大學獲哲學博士學位。主要研究方向是AI與復雜系統交叉領域，信息傳播與虛假新聞探測等研究，先后主持了3項國家自然科學基金等多個縱向及微軟亞洲研究院、騰訊、百度、平安等企業合作委托科研項目，參與了國家重點研發計劃，國家自然科學基金-廣東省聯合基金等國家重點項目。申請和獲得國家發明專利六十余項。近年在Physics Reports、EPL、Chaos、CNSNS、IP&M、Scientific Reports等重要期刊及KDD、SIGMOD、NeurIPS、WWW、ACL、EMNLP、AAAI等權威會議上發表多篇論文。2016年CCF-騰訊犀牛鳥卓創獎，2018年微軟亞洲研究院鑄星計劃學者，2019年微軟新聞集團LT-Hack Recognition Award以及深圳大學荔園優青學者。

英文簡介

Hao Liao is an associate professor with tenure at the College of Computer Science and Software Engineering, Shenzhen University, and obtained a Ph.D. in Philosophy from the University of Fribourg in Switzerland in 2015. The primary research areas include the intersection of information mining and complex systems with AI, as well as studies on information dissemination and fake news detection. The subject has led multiple projects, including three funded by the National Natural Science Foundation of China, as well as collaborated on research projects commissioned by corporate partners like Microsoft Research Asia, Tencent, Baidu, and Ping An. The subject has participated in key national projects such as the National Key R&D Program and the National Natural Science Foundation of China-Guangdong Joint Fund. He has applied for and obtained over 60 national invention patents. In recent years, the subject has published numerous papers in prominent journals including Physics Reports, EPL, Chaos, CNSNS, IP&M, and Scientific Reports, as well as presented at authoritative conferences such as KDD, SIGMOD, NeurIPS, WWW, ACL, EMNLP, and AAAI. He has received numerous awards, including the CCF-Tencent Rhino Bird Outstanding Award in 2016, the Microsoft Research Asia StarTrack Program Scholar in 2018, the Microsoft News Group LT-Hack Recognition Award in 2019, and the Shenzhen University Litchi Garden Outstanding Young Scholar Award.

英文名

Wuyuan Xie

聯系郵箱

Wuyuan.xie@gmail.com

中文簡介

謝伍媛于2006年獲得中南大學學士學位，2009年獲得華南理工大學碩士學位，2016年獲得香港中文大學機械與自動化工程系博士學位。她目前是中國深圳大學計算機科學與軟件工程學院未來媒體計算研究所的副教授。她的研究興趣包括圖像與視頻處理、計算機視覺、三維重建和機器學習。

英文簡介

Wuyuan Xie received the BS degree from the Central South University (CSU), in 2006, the MS degree from the South China University of Technology University (SCUT), in 2009, and the PhD degree from the Department of Mechanical and Automation Engineering, Chinese University of Hong Kong (CUHK), in 2016. She is currently an associate professor with the Research Institute for Future Media Computing, College of Computer Science and Software Engineering, Shenzhen University, China. Her research interests include image and video processing, computer vision, 3D reconstruction, and machine learning.

英文名

LIANG-JIE ZHANG

聯系郵箱

ZHANGLJ@SZU.EDU.CN

中文簡介

張良杰，深圳大學計算機與軟件學院特聘教授、深圳大學智能服務計算研究中心主任、軟件工程系主任。張教授入選IEEE Fellow（2011）。現在聚焦在生成式人工智能（AIGC）、新一代互聯網軟件與服務架構、交互式網絡視聽、工業互聯網、企業數智化轉型等方面開展研究與產業實踐。共發表了210篇研究論文、獲得了90多項發明專利，創造了全球“服務計算”學科。曾獲IBM杰出研究成果獎、IBM杰出創新獎、IBM杰出技術成就獎以及2011年IEEE計算機學會技術成就獎、2014年中國計算機學會科技進步一等獎。

英文簡介

Liang-Jie Zhang is a Distinguished Professor at the School of Computer Science and Software Engineering, Shenzhen University, as well as the Director of the Center for AI Service Computing and the Chair of the Software Engineering Department at Shenzhen University. He was elected an IEEE Fellow in 2011. Currently, his research and industry practices focus on generative artificial intelligence (AIGC), next-generation internet software and service architectures, interactive network audio-visual technologies, industrial internet, and digital-intelligent transformation of enterprises. He has published 210 research papers, holds over 90 invention patents, and created the global academic field of "Services  Computing." He has received numerous accolades, including the IBM Outstanding Research Achievement Award, IBM Outstanding Innovation Award, IBM Outstanding Technical Achievement Award, the IEEE Computer Society's 2011 Technical Achievement Award, and the First Prize in Science and Technology Progress from the China Computer Federation in 2014.

英文名

Dingming Wu

聯系郵箱

Dingming.wu@gmail.com

中文簡介

吳定明，計算機與軟件學院副教授，2011年獲丹麥奧爾堡大學計算機科學博士學位。研究方向為數據管理、計算與分析，包括時空數據，社交網絡，知識圖譜等。主持國家自然科學基金，廣東省自然科學基金，深圳市基礎研究計劃等項目。入選深圳市海外高層次人才，深圳市高層次專業人才培養計劃。

英文簡介

Dingming Wu is an Associate Professor at the School of Computer Science and Software Engineering. She received his Ph.D. in Computer Science from Aalborg University, Denmark, in 2011. Her research interests include data management, computation, and analysis, with a focus on spatiotemporal data, social networks, and knowledge graphs. She has led projects funded by the National Natural Science Foundation of China, the Natural Science Foundation of Guangdong Province, and the Shenzhen Basic Research Program. She has been selected for the Shenzhen Overseas High-Level Talent Program and the Shenzhen High-Level Professional Talent Development Program.