CCID 2022 provides a premier venue for the presentation and discussion of research in the design, development, deployment and evaluation of cloud computing and intelligent driving. It bridges together academic researchers and industrial practitioners to share and exchange the latest developments in the area of high-performance computing and autonomous driving. We hope that this conference will stimulate our participants to explore innovative advances and applications in computing science and artificial intelligence.
We gratefully acknowledge the support from University of Macau, Macau Science and Technology Development Fund (FDCT) and Ministry of Science and Technology of China. We wish to express our heartfelt appreciation to the keynoter speakers, invited speakers, students and volunteers for their help. We wish all participants and colleagues a very pleasant and healthy stay in Macau.
Prof. Cheng-Zhong Xu, Chair Professor, University of Macau
Prof. Xiaobo Zhou, Distinguished Professor, University of Macau
Prof. Jianbing Shen, Professor, University of Macau
Prof. Kejiang Ye, Professor, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Prof. Hui Kong, Associate Professor, University of Macau
Prof. Leong Hou U, Associate Professor, University of Macau
Prof. Juanjuan Zhao, Assoicate Professor, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Prof. Li Li, Assistant Professor, University of Macau
Prof. Huanle Xu, Assistant Professor, University of Macau
Prof. Zhenning Li, Research Assistant Professors, University of Macau
08:30 - 09:00
09:00 - 09:05
Prof. Cheng-Zhong Xu, University of Macau
09:05 - 09:50
Prof. Xin Yao, Southern University of Science and Technology
09:50 - 10:10
Prof. Yang Wang, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
10:10 - 10:30
Prof. Ryan Leong Hou U, University of Macau
10:30 - 10:50
Prof. Zhuozhao Li, Southern University of Science and Technology
10:50 - 11:10
11:10 - 11:55
Prof. Sheng Zhong, Nanjing University
11:55 - 12:15
Prof. Xitong Gao, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
12:15 - 12:35
Prof. Fengwei Zhang, Southern University of Science and Technology
12:35 - 14:00
14:00 - 14:30
Prof. Junchi Yan, Shanghai Jiao Tong University
14:30 - 14:50
Prof. Hui Kong, University of Macau
14:50 - 15:10
Prof. Zhenning Li, University of Macau
15:10-16:00
Chair: Prof. Yinqian Zhang and Prof. Jianbing Shen
16:30 - 17:30
Location: N21 Research Building - 5F, University of Macau
Host: Prof. Shuai Wang
09:00 - 09:20
Prof. Xiaobo Zhou, University of Macau
09:20 - 09:40
Prof. Kejiang Ye, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
09:40 - 10:00
Prof. Yuan Wu, University of Macau
10:00 - 10:20
Prof. Huanle Xu, University of Macau
10:20 - 10:40
Prof. Minxian Xu, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
10:40 - 10:55
10:55 - 11:15
Prof. Jianbing Shen, University of Macau
11:15 - 11:35
Prof. Juanjuan Zhao, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
11:35 - 11:55
Prof. Shuai Wang, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
11:55 - 12:15
Prof. Li Li, University of Macau
12:15-13:00
Chair: Prof. Kejiang Ye
13:00 - 14:30
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Prof. Xin YaoChair Professor, Southern University of Science and TechnologyPart-time Professor, University of BirminghamA Gentle Introduction to AI Ethics (25/11, 09:20 - 10:05)Abstract: As the rapid development of artificial intelligence (AI) and its widespread applications, AI ethics has become an increasingly important interdisciplinary research area. This talk first gives a brief overview of AI ethics, starting from the basic concepts of ethics, applied ethics, technology ethics, information ethics to AI ethics, to the current status of the AI ethics research. We consider current AI ethics research from three levels, i.e., at the individual, societal (group) and environmental levels. Some of the major research topics in AI ethics are highlighted, especially for computer scientists and engineers. As a specific research topic in AI ethics, this talk then present a case study of using multi-objective evolutionary algorithms for fair machine learning. It is argued that fairness cannot be measured by any single metric. A multi-objective approach is needed. Multi-objective learning offers a natural approach to achieve fairer machine learning, i.e., constructing fairer machine learning models. Prof. Xin Yao is a Chair Professor of Computer Science at the Southern University of Science and Technology (SUSTech), Shenzhen, China, and a part-time Professor of Computer Science at the University of Birmingham, UK. He is an IEEE Fellow and was a Distinguished Lecturer of the IEEE Computational Intelligence Society (CIS). He served as the President (2014-15) of IEEE CIS and the Editor-in-Chief (2003-08) of IEEE Transactions on Evolutionary Computation. His major research interests include evolutionary computation, ensemble learning, and their applications to software engineering. His research work won the 2001 IEEE Donald G. Fink Prize Paper Award; 2010, 2016 and 2017 IEEE Transactions on Evolutionary Computation Outstanding Paper Awards; 2011 IEEE Transactions on Neural Networks Outstanding Paper Award; and many other best paper awards at conferences. He received a 2012 Royal Society Wolfson Research Merit Award, the 2013 IEEE CIS Evolutionary Computation Pioneer Award and the 2020 IEEE Frank Rosenblatt Award. |
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Prof. Sheng ZhongChief Professor, Nanjing UniversityRecent Results on AI security (25/11, 11:00 - 11:45)Abstract: AI security has been a hot research area recently. In this talk, we briefly review some results on AI security. In particular, we talk of data privacy, adversarial examples, and backdoors. While our review is by no means comprehensive, it provides a quick summary of some research efforts that interest us. Prof. Sheng Zhong received his BS and MS from Nanjing University, and PhD from Yale University. Now he works at Nanjing University, as Professor of Computer Science and Dean of School of Software Engineering. He is interested in security, privacy, and economic incentives. |
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Prof. Junchi YanAssocaite Professor, Shanghai Jiao Tong UniversityMachine learning for combinatorial optimization: some empirical studies (25/11, 14:00 - 14:45)Abstract: Abstract: in this talk, I will present our lab's recent progress and empirical results including some results on EDA, on machine learning for combinatorial optimiation, which has been an emerging topic in both communities of machine learning and operational research. I will also discuss the potential future directions for this exciting area. Prof. Junchi Yan is an associate professor with Department of Computer Science and Engineering, Shanghai Jiao Tong University, and once a Research Staff Member with IBM Research. His research interests are machine learning, combinatorial optimization and computer vision. He is leading a national key research and development project on machine learning for combinatorial optimization and an NSFC outstanding young talent program on graph computing. |
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Prof. Yang WangProfessor, Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesSharing Algorithms for Model Serving in Mobile Edge Networks (25/11, 09:50 - 10:10) |
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Prof. Ryan Leong Hou UAssociate Professor, University of MacauRevisiting the Effect of Topology Structures in Graph Neural Networks (25/11, 10:10 - 10:30) |
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Prof. Zhuozhao LiAssistant Professor, Southern University of Science and TechnologyfuncX: a Federated Function as a Service Platform (25/11, 10:30 - 10:50) |
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Prof. Xitong GaoAssociate Professor, Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesEmerging threats of stealthy backdoors in adversarial deep learning (25/11, 11:55 - 12:15) |
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Prof. Fengwei ZhangAssociate Professor, Southern University of Science and TechnologyArm Hardware assisted Security (25/11, 12:15 - 12:35) |
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Prof. Hui KongAssociate Professor, University of MacauRecent progress in sensing/perception and localization for autonomous driving in the IMRL team (25/11, 14:45 - 15:05) |
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Prof. Zhenning LiResearch Assistant Professor, University of MacauHuman-like autonomous driving in the mixed autonomy environment (25/11, 15:05 - 15:25) |
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Prof. Xiaobo ZhouDistinguished Professor, University of MacauToward High-Performance Cloud Computing: Scheduling and Memory Management (26/11, 09:00 - 09:20) |
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Prof. Kejiang YeProfessor, Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesCloud-Edge-End Cooperative computing and industrial applications (26/11, 09:20 - 09:40) |
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Prof. Yuan WuAssociate Professor, University of MacauTowards Reliable and Efficient Federated Learning for End-to-End Autonomous Driving (26/11, 09:40 - 10:00) |
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Prof. Huanle XuAssistant Professor, University of MacauFast training for Deep Learning in Heterogeneous GPU clusters (26/11, 10:00 - 10:20) |
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Prof. Minxian XuAssociate Professor, Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesEfficient Autoscaling of Microservices with QoS Assurance (26/11, 10:20 - 10:40) |
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Prof. Jianbing ShenProfessor, University of Macau3D Point Cloud Object Detection for Self-Driving Cars (26/11, 11:00 - 11:20) |
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Prof. Juanjuan ZhaoAssociate Professor, Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesFine-grained Passenger Flow Prediction Method in Metro Systems (26/11, 11:20 - 11:40) |
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Prof. Li LiAssistant Professor, University of MacauComputing System for Autonomous Driving: Design Constraints and System Optimization (26/11, 11:40 - 12:00) |
