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

联系邮箱

vleung@ieee.org

中文简介

加拿大工程院院士、工程学会会士和皇家学会科学院院士。现为深圳大学计算机与软件学院全职特聘教授。目前的主要研究领域为移动计算、智联网、人工智能。

曾任加拿大 UBC大学计算机工程系讲座教授，曾获选 IEEE通信学会的杰出报告人，担任IEEE多个期刊的编委，发表1400余篇学术论文和著作，最近三年是 Clarivate Analytics 认定的高引作者, 并在众多国际会议组织中发挥领导作用。近年承担多项重要科研项目，如“珠江人才计划”引进创新创业团队项目，加拿大NSERC基金项目等。

英文简介

 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

联系邮箱

dshi@szu.edu.cn

中文简介

石大明教授先后从中国及英国获得机械工程博士学位及计算机科学博士学位。自2016年起，在深圳大学受聘为特聘教授。加入深圳大学之前，在新加坡南洋理工大学任助理教授，并在英国密德萨斯大学任教授职位。石大明教授主要的研究领域为图像处理和人工智能，并在IEEE TPAMI, IEEE TIP, IEEE IFS等知名期刊上发表了多篇学术论文，在CVPR, ICCV等顶级会议上也多次发表论文。此外，石大明教授还主要参与了由A*STAR Singapore, FP-7 EU, MOST及NSFC等基金支持的重点项目。

英文简介

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

联系邮箱

zhuyy@szu.edu.cn

中文简介

朱映映教授的研究方向主要为人工智能，计算机视觉，多媒体大数据挖掘等。现担任深圳大学计算机学院未来媒体技术与计算研究所常务副所长，中国计算机学会多媒体技术专委委员，广东省科技计划专家，深圳市高新技术企业认定专家等。作为项目负责人主持多项国家自然科学基金项目，广东省自然科学基金项目，深圳市自然科学基金项目等。已在计算机TOP会议，国际TOP期刊，国内TOP学报、SCI期刊、EI会议等发表论文近50篇，专利5项，软件著作权2项。实验室具备优秀的软硬件环境（如，16块Tesla V100 GPU 等）。同时，与华为、平安科技、大疆等上市公司有着深入的科研合作，有着较强的项目研发经验与充足的研究经费。

英文简介

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

联系邮箱

xjchen@szu.edu.cn

中文简介

陈小军，深圳大学大数据技术与应用研究所所长助理。本硕博毕业于哈尔滨工业大学。曾先后在香港大学、中科院深圳先进技术研究院及深圳大学工作。从事数据挖掘及机器学习研究10余年，在相关的国际学术期刊和会议上发表SCI/EI检索论文70 余篇，包括计算机学会推荐的A 类论文（CCF A）30余篇（发表在期刊TKDE、IJCV、TIP及会议IJCAI、AAAI、SIGIR、ICCV、ICDE上），以及20余篇IEEE Transactions高水平论文。主要研究内容涉及面向多模态数据的无/半/有/弱监督学习、异常检测等技术。担任多个国际会议（AAAI、IJCAI、WWW等）及国际期刊（IEEE TPAMI/ TNNLS/ TKDE/ TCYB等）的审稿人。开发了多个数据挖掘开源软件及一系列数据挖掘算法。在聚类方面的工作获得了广东省自然科学二等奖，及深圳市自然科学二等奖。

英文简介

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

联系邮箱

chenjie@szu.edu.cn

中文简介

本人于2018年作为专职副研究员加入深圳大学计算机与软件学院，并在2021成为深圳大学助理教授。本人2013年获得新加坡国立大学人工智能方向博士学位，并获得优秀博士生研究生奖。博士毕业后加入麻省理工学院-新加坡联合研究所从事博士后研究。本人作为程序委员会成员长期服务IJCAI, AAAI, CVPR, RSS, and ICRA等顶级会议。本人致力于研究可信机器学习算法(具备可解释 、隐私数据可受保护且高鲁棒性)与多智能体系统，并应用于各种现实场景，例如，机器人、智能环境监控、智能交通系统、智能医疗系统、合成生物智能计算等。

英文简介

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

联系邮箱

Jianmin.jiang@szu.edu.cn

中文简介

江健民目前是深圳大学计算机软件学院特聘教授，及未来媒体技术与计算研究所所长。回国前任英国布拉德福大学信息学院讲席教授及数字媒体与系统研究所所长，英国萨里大学计算机系讲席教授。2000年获国家基金委海外杰青B类项目，发表论文近400余篇。2014-2018连续五年进入ELSEVIER中国计算机科学高被引学者榜单.学术兼职包括：2019-至今为国际知名期刊IET Image Processing Associate Editor; 2006-2015为国际知名期刊Image and Vision Computing Journal Associate Editor, ELSEVIER，2002-2015为英国IET Fellow.2004-2013: 欧盟第六第七框架科研计划咨询专家委员。目前的主要研究方向是深度学习在多媒体内容分析和理解中的应用，以及脑臆想多媒体的深度分析及可视呈现。

英文简介

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

联系邮箱

mingz@szu.edu.cn

中文简介

明仲,教授,深圳大学研究生院执行院长。领导团队在人工智能，机器学习，云计算+智能，推荐系统，软件工程等方面开展工作。主持国家自然科学基金重点项目《类人任务规划、推理及其验证系统的研究和应用》，面上项目4项，并且与华为在学生培养，科研创新保持长期密切合作。成果曾获得2019年 “吴文俊人工智能科学技术奖”一等奖、2014年广东省科学技术一等奖（排名第一）、2018年中国电子学会科技进步一等奖（排名第一）。

英文简介

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

联系邮箱

philfv@szu.edu.cn

中文简介

英文简介

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

联系邮箱

fchen@szu.edu.cn

中文简介

陈飞，博士，2008、2011、2014 年分别于重庆大学计算机学院、重庆大学计算机学院、香港中文大学计算机科学与工程系获学士、硕士、博士学位。2009、2013、2014年分别于中国科学院信息安全国家重点实验室、阿里巴巴集团数据库团队、维也纳理工大学，做访问研究。主要从事数据保护与隐私，及网络与信息安全方向研究工作。

英文简介

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

联系邮箱

lijq@szu.edu.cn

中文简介

李坚强教授申请人长期致力于机器人与智能系统网络协同的理论与技术研究，提出了多源异构数据协同感知方法、动态优化网络切分与调度方法以及混合系统模型下的分析处理方法等，有效提高了系统感知与分析决策能力。李坚强教授担任国家重点研发计划项目首席科学家，入选国家级青年人才，广东省杰青，大数据国家工程实验室执行主任。主持国家重点研发计划项目1项，国家基金重点项目1项，面、青项目3项，发表论文200余篇，近5年SCI论文92篇，中科院一区59篇，Science子刊1篇，IEEE汇刊42篇，谷歌引用4652次，SCI引用2729次，高被引9篇，热点2篇。申请专利49项（已获批24项），专利授权中兴、中广核等公司，经审计经济效益超13.6亿元，第一完成人荣获吴文俊人工智能科技进步一等奖、广东省科技进步二等奖等，4次荣获省教学成果一等奖。担任IEEE汇刊等7个期刊编委，2021年入选斯坦福大学评选的全球顶尖科学家终身影响力榜单。

英文简介

    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

联系邮箱

qinjianbin@szu.edu.cn

中文简介

秦建斌教授，是国家青年特聘专家、深圳计算科学研究院研究科学家。本科毕业于东北大学，博士毕业于澳大利亚新南威尔士大学，归国前在爱丁堡大学数据库做研究员。曾在百度搜索引擎研发部，微软Bing搜索引擎研发部，Google知识图谱部门从事研发工作。主要研究方向是数据库理论，数据库系统，相似性查询，信息检索，数据治理等。曾获得ACM SIGMOD 2011 最佳论文提名并被邀稿ACM TODS，获得IEEE ICDE 2018 最佳论文提名并被邀稿IEEE TKDE，CISRO最佳论文奖，DASFAA最佳学生论文，提出了通用的鸽巢原理模型（GPH）和鸽圈原理（Pigeonring）等基础理论用于高性能的相似度查询系统。2021年被认定为深圳市“孔雀计划”海外高层次人才（B类）。

英文简介

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

联系邮箱

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

中文简介

谭舜泉，工学博士，副教授，深圳大学特聘研究员。2007年至今在深圳大学计算机与软件学院担任教师，深圳市媒体信息内容安全重点实验室副主任。IEEE Senior Member，中国图像图形学学会数字媒体取证与安全专委会委员。国际期刊EURASIP Journal on Information Security副主编。作为主要完成人，所承担的项目“信息隐藏理论与方法”荣获2019年中国计算机协会科学技术奖自然科学一等奖。近五年来一直从事深度学习框架（包括深度卷积神经网络、递归神经网络、强化学习模型）在多媒体取证、多媒体安全领域的应用，DeepFake等深度学习人脸篡改技术的检测及对抗。

英文简介

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

联系邮箱

Zhangd@szu.edu.cn

中文简介

深圳大学计算机与软件学院的副教授，国家高性能中心深圳分中心成员、电气电子工程师学会(IEEE)成员、中国计算机学会(CCF)成员，美国人工智能协会( AAAI)终身会员，深圳市海外高层次人才。2010年获香港科技大学计算机科学与工程系博士学位。张滇有丰富的海外教学和科研经历，她的研究兴趣包括数据分析和移动计算。近年来，她的研究成果发表在国际知名会议和期刊上40余篇，包括SIG KDD, IEEE TMC, TPDS, INFOCOM, ICDCS,PERCOM, WCM 等。此外，张滇主持了多个研究项目，包括国家自然科学基金面上项目和青年项目，广东省自然科学基金，深圳基础研究项目，孔雀项目等。张滇获得过多项奖励包括中国教育部自然科学二等奖（第2完成人），2013 IBM Faculty Award, 2015 Shenzhen Peacock Talent Award 及2019 中国太平洋保险公司(深圳)研究成就奖。

英文简介

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 (中国教育部自然科学二等奖), 2013 IBM Faculty Award, 2015 Shenzhen Peacock Talent Award and 2019 China Pacific Insurance Research Achievement Award.

英文名

      Zhihui Lai

联系邮箱

laizhihui@szu.edu.cn

lai_zhi_hui@163.com

中文简介

赖志辉，男，博士、教授、博士生导师。博士毕业于南京理工大学模式识别与智能系统专业。他曾任香港理工大学研究员、博士后研究员及研究员，已发表了200多篇学术论文，其中有50多篇发表在IEEE Transactions系列权威杂志上。赖志辉于2015年入选深圳市海外高层次人才“孔雀计划”，现任国际SCI期刊International Journal of Machine Learning and Cybernetics的编委。他的主要研究兴趣是图像处理与模式识别、医学图像分析、深度学习与大数据哈希学习。详情见个人主页http://www.scholat.com/laizhihui。

英文简介

Zhihui Lai (赖志辉) 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

联系邮箱

yanq@szu.edu.cn

中文简介

2003年在西安电子科技大学获得信息与通信工程博士学位。 2004年到清华大学做博士后，从事网络安全、人工智能、物联网的相关研究工作。2006年到深圳大学从事教学和科研工作，2009年起担任教授。2013-2014年在加拿大卡尔顿大学访问交流一年。当前研究兴趣集中在网络安全、机器学习、区块链等。已经在JCR一区等期刊发表论文100多篇，先后有8篇论文为ESI高被引论文。Google Scholar统计引用4000余次。主持或作为主要研究人员参加过国家973项目、国家863项目、国家自然科学基金项目、中国博士后科学基金项目、广东省科技计划项目等多项国家级和省级科研项目以及多个横向项目。获得过吴文俊人工智能科学技术奖(一等)、广东省科技进步奖（二等），深圳市科技创新奖、深圳市科技进步奖、深圳市优秀博士后等多个奖项。

英文简介

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

联系邮箱

LLShen@szu.edu.cn

中文简介

沈琳琳教授, 2015-2023连续9年被爱思唯尔出版社评为计算机学科“中国高被引学者”，2020-2022连续入围斯坦福大学“科学影响力全球前2%科学家榜单”。现为深圳市“鹏城学者”特聘教授、英国诺丁汉大学计算机学院荣誉教授；大数据系统计算技术国家工程实验室副主任、广东省中英合作视觉信息处理实验室主任、深圳大学计算机视觉研究所所长、深圳大学医学影像智能分析与诊断研究中心主任。期刊《Cognitive Computation and Systems》常务副主编（Co-Editor-in-Chief）、《Expert Systems with Applications》副编辑（Associate Editor）。研究方向主要为深度学习理论及其在人脸识别/分析以及医学图像分析上的应用。2023年5月带领团队开源首个中文百亿参数大模型“伶荔”，被金融等垂直行业广泛使用。

英文简介

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

联系邮箱

mao@szu.edu.cn

中文简介

毛睿，男，长江特岗学者，深圳大学特聘教授，博导，主要领域通用大数据处理；中国科学技术大学计算机学士和硕士、美国得克萨斯大学奥斯汀分校统计硕士和计算机博士、曾任甲骨文美国公司高级工程师；现任深圳大学大数据系统计算技术国家工程实验室副主任，深圳计算科学研究院执行院长；提出了应对多样性挑战的大数据泛构模式，建立了基于度量空间的通用大数据管理分析理论框架，获5项国家/省部级教学/科研奖励。

英文简介

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

联系邮箱

xzwang@szu.edu.cn

中文简介

王熙照，博士，深圳大学教授，博士生导师，IEEE Fellow, IEEE-SMC计算智能专委会主席，Springer杂志Machine Learning and Cybernetics主编。中国人工智能学会（CAAI）常务理事、CAAI Fellow、CAAI知识工程专委会主任委员。深圳市海外高层次人才，曾获省部级自然科学一等奖和吴文俊人工智能自然科学一等奖。

1998年博士毕业于哈尔滨工业大学计算机系；1998-2001年香港理工大学计算科学系任研究员；2000-2014年任河北大学数学与计算机学院院长；2007-2014年河北省机器学习重点实验室主任；2013-2014加拿大Simon Fraser大学访问教授，2014年至今深圳大学计算机学院教授。

主要研究兴趣包括不确定性感知的机器学习和大数据分析，提出了“模糊示例学习”的概念，并将这一概念扩展到基于不确定性理论的机器学习框架下，其研究持续至今。在该领域发表学术论文280多篇；Google Scholar搜索显示，到2021年12月，论文累计引用次数超过11675次，单篇最高引用超过920次，SCI-H指数为54，著有《基于不确定性的决策树归纳》和《Learning with Uncertainty》等著作；连续7年入选Elsevier统计的中国高被引学者，2019和2020连续两年入选Clarivate统计的全球1%高被引科学家。主持完成国家自然科学基金等项目30多项；累计完成指导博士/硕士学位研究生200多名；曾担任多个国际/国内学术会议的大会或程序主席，创立的机器学习与控制国际会议（ICMLC）已持续20年。

英文简介

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

联系邮箱

haoliao@szu.edu.cn

中文简介

  深圳大学计算机与软件学院长聘副教授，2015年5月在瑞士弗里堡大学获哲学博士学位。主要研究方向是AI与复杂系统交叉领域，信息传播与虚假新闻探测等研究，先后主持了3项国家自然科学基金等多个纵向及微软亚洲研究院、腾讯、百度、平安等企业合作委托科研项目，参与了国家重点研发计划，国家自然科学基金-广东省联合基金等国家重点项目。申请和获得国家发明专利六十余项。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等权威会议上发表多篇论文。2016年CCF-腾讯犀牛鸟卓创奖，2018年微软亚洲研究院铸星计划学者，2019年微软新闻集团LT-Hack Recognition Award以及深圳大学荔园优青学者。

英文简介

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.