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.

ENQUIRY

Email: gracejiang@szu.edu.cn

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、中国科学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

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，国家级青年人才，深圳大学计算机与软件学院特聘教授，深圳大学研究生院副院长（挂职）。入选国家第十六批“青年千人计划”、深圳市“孔雀计划”海外高层次人才（B类）。 主要研究方向包括数据库理论、数据库系统、相似性查询、信息检索、数据治理、数据智能与人工智能。他在高维相似性查询方面提出了鸽巢原理模型（GPH） 和鸽圈原理（Pigeonring） 等基础理论，显著提升了查询效率与系统性能。相关成果在ACM SIGMOD、VLDB、IEEE ICDE、KDD等国际顶级会议与期刊发表论文50余篇，其中CCF-A类论文30余篇，多次获最佳论文提名（如SIGMOD 2011、ICDE 2018），并获CISRA最佳论文奖、DASFAA最佳学生论文奖等。

英文简介

Jianbin Qin is a Distinguished Professor and Ph.D. Supervisor at the College of Computer Science and Software Engineering, Shenzhen University. His research focuses on database theory and systems, vector databases, high-dimensional similarity search, information retrieval, data governance, data intelligence, and artificial intelligence. He has extensive expertise in the efficient organization, cleaning, indexing, retrieval, and analysis of large-scale multimodal data, with particular strengths in similarity search theory, vector retrieval, query optimization, database kernels, and data quality management. He has led projects funded by the National Natural Science Foundation of China and the National Key R&D Program, integrating theoretical research, algorithm development, system implementation, and industry collaboration.

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。

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.

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

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.

英文名

Wuyuan Xie

联系邮箱

Wuyuan.xie@gmail.com

中文简介

谢伍媛于2006年获得中南大学学士学位，2009年获得华南理工大学硕士学位，2016年获得香港中文大学机械与自动化工程系博士学位。她目前是中国深圳大学计算机科学与软件工程学院未来媒体计算研究所的副教授。她的研究兴趣包括图像与视频处理、计算机视觉、三维重建和机器学习。

英文简介

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

联系邮箱

ZHANGLJ@SZU.EDU.CN

中文简介

张良杰，深圳大学计算机与软件学院特聘教授、深圳大学智能服务计算研究中心主任、软件工程系主任。张教授入选IEEE Fellow（2011）。现在聚焦在生成式人工智能（AIGC）、新一代互联网软件与服务架构、交互式网络视听、工业互联网、企业数智化转型等方面开展研究与产业实践。共发表了210篇研究论文、获得了90多项发明专利，创造了全球“服务计算”学科。曾获IBM杰出研究成果奖、IBM杰出创新奖、IBM杰出技术成就奖以及2011年IEEE计算机学会技术成就奖、2014年中国计算机学会科技进步一等奖。

英文简介

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

联系邮箱

Dingming.wu@gmail.com

中文简介

吴定明，计算机与软件学院副教授，2011年获丹麦奥尔堡大学计算机科学博士学位。研究方向为数据管理、计算与分析，包括时空数据，社交网络，知识图谱等。主持国家自然科学基金，广东省自然科学基金，深圳市基础研究计划等项目。入选深圳市海外高层次人才，深圳市高层次专业人才培养计划。

英文简介

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.

英文名

Meng Xu

联系邮箱

m.xu@szu.edu.cn

中文简介

徐萌，女，博士，深圳大学计算机与软件学院副教授，博士生导师。2017年获得澳大利亚新南威尔士大学博士学位。主要研究方向为遥感图像质量提升、目标识别等，主持国家自然科学基金面上和青年项目、国家装备重大基础研究项目以及军科委173重点基础研究项目子课题等十余项。发表科研论文40余篇，Google Scholar引用2200余次，获广东省和深圳市自然科学二等奖以及自然资源科学技术奖（测绘组）科技进步一等奖。担任遥感领域国际权威期刊IEEE TGRS编委。

英文简介

Meng Xu, Ph.D., Associate Professor and Ph.D. supervisor at the College of Computer Science and Software Engineering, Shenzhen University. She received her Ph.D. from the University of New South Wales, Australia, in 2017. Her main research interests include remote sensing image quality enhancement and object recognition. She has led more than ten research projects, including the National Natural Science Foundation of China (General and Youth Programs), the National Defense Science and Technology Major Basic Research Program, and a sub-project of the National Defense Science and Technology Innovation 173 Program. She has published over 40 research papers, with more than 2,200 citations on Google Scholar. She has received the Second Prize of the Guangdong Provincial and Shenzhen Natural Science Awards and the First Prize of the Natural Resources Science and Technology Progress Award (Surveying and Mapping Group). She currently serves as an Editorial Board Member of IEEE Transactions on Geoscience and Remote Sensing (TGRS).

英文名

Tao Dai

联系邮箱

daitao@szu.edu.cn

中文简介

戴涛，长聘副教授，博士生导师，深圳大学人工智能系副系主任，“全球前2%顶尖科学家”。近年来主要从事计算机视觉和机器学习等领域的研究，特别是在底层视觉增强（图像超分辨、图像增强）、3D点云分析等研究课题进行了深入研究。目前在计算机视觉三大顶会CVPR/ICCV/ECCV等发表论文50余篇。近年来先后主持了国家自然基金等项目。

主要研究方向包括：

- 机器视觉增强：图像超分辨率，低光照增强技术

- AI安全研究 ：AIGC生成检测

- 时间序列分析：时间序列预测

英文简介

Dai Tao, a tenured associate professor and doctoral supervisor, is the deputy director of the Artificial Intelligence Department at Shenzhen University, and is listed as one of the "Top 2% Global Scientists". In recent years, he has mainly focused on research in the fields of computer vision and machine learning, particularly conducting in-depth studies on topics such as low-level visual enhancement and 3D point cloud analysis. Currently, he has published over 50 papers in top computer vision conferences such as CVPR, ICCV, and ECCV. In recent years, he has also successfully led projects funded by the National Natural Science Foundation, etc.

The main research directions include:

- Machine vision enhancement: image super-resolution, low-light enhancement technology

- AI security research: AIGC generation detection

- Time series analysis: time series prediction

英文名

Xiyou Fu

联系邮箱

fuxy0623@szu.edu.cn

中文简介

符喜优博士是深圳大学计算机与软件学院助理教授（特聘研究员、博士生导师），深圳市鹏城孔雀特聘岗位C类人才。长期致力于多模态图像融合、大语言模型提示目标检测与跟踪、跨模态遥感图像分割、高光谱遥感异常探测等方向的研究。近五年，在Information Fusion、IEEE TNNLS、IEEE TCSVT、IEEE TGRS等学术刊物发表研究论文20余篇，ESI高被引论文4篇，ESI热点论文1篇。主持国家自然科学基金面上/青年项目，国家重点研发项目子课题、广东省自然科学基金面上等10余个科研项目，获腾讯“犀牛鸟”-深圳大学青年教师科研基金项目奖，担任IEEE TPAMI、IEEE TIP等20余个学术期刊的审稿人。

英文简介

Dr. Fu Xiyou is an Assistant Professor (Distinguished Research Fellow and PhD Supervisor) at the College of Computer Science and Software Engineering, Shenzhen University. He holds the Category C appointment of Pengcheng Peacock Talent Programme in Shenzhen. His long-term research interests include multimodal image fusion, prompt-based object detection, cross-modal remote sensing image segmentation, and hyperspectral remote sensing anomaly detection. Over the past five years, he has published more than 20 research papers in journals such as Information Fusion, IEEE TNNLS, IEEE TCSVT, and IEEE TGRS, including 4 ESI Highly Cited Papers and 1 ESI Hot Paper. He has led over 10 research projects, including the General and Youth Programs of the National Natural Science Foundation of China, sub-projects of the National Key Research and Development Program of China, and the General Program of Guangdong Natural Science Foundation. He is a recipient of the Tencent "Rhinoceros Bird" — Shenzhen University Young Faculty Research Fund Award. He serves as a reviewer for more than 20 academic journals, including IEEE TPAMI, IEEE TIP, and IEEE TGRS.

英文名

Qihua Zhou

联系邮箱

qihuazhou@szu.edu.cn

中文简介

周祺华，深圳大学计算机与软件学院特聘教授、博士生导师，博士毕业于香港理工大学，入选国家级青年人才。

主要从事边缘具身智能与高效智算系统方向的研究工作。涵盖：高效大模型服务、生成扩散与VLA模型、端侧/微型机器学习、神经编解码器与视频流媒体、AI赋能智能网络/材料/物流等研究方向。

以第一作者/通信作者发表多篇CCF-A类与原中科院一区论文，获IEEE Transactions on Computers亮点论文，出版《Machine Learning on Commodity Tiny Devices：Theory and Practice》英文学术专著，担任多个学术顶会与期刊审稿人。

英文简介

Qihua Zhou is a Distinguished Professor with the College of Computer Science and Software Engineering at Shenzhen University. He received his Ph.D. degree in the Department of Computing, Hong Kong Polytechnic University. He aims at developing edge-native AI/ML systems that empower ubiquitous intelligent services, particularly in resource-constrained environments, to enrich human life in diverse aspects.

He focuses on the design, optimization and deployment of Efficient Edge Embodied AI Systems, covering the research intersection of Neuromorphic AI Computing, Efficient MoE/LLM Serving, Diffusion Generative and VLA Models, Tiny/On-Device Machine Learning, Neural Video Codecs, and AI for Networking and Transportation.

He recognizes the importance of optimizing the completed life-cycle of intelligent tasks, from data sensing to knowledge-aware analytics and cross-entity interaction. Embracing this closed-loop design philosophy, his vision is to extend the boundary of modern learning paradigms and present new research prospects for enhancing system-level performance.