Vincent Chau

周穎豪（Vincent Chau） Associate Professor School of Computer Science and Engineering, Southeast University Address: Room 148, Building of Computer Science, Jiulonghu Campus, Southeast University, Nanjing, P. R. China Email: vincentchau [at] seu.edu.cn

自我介紹

周穎豪（Vincent Chau），副教授，法籍華裔。1988年出生于法國巴黎，父母早年從中國移民到法國。在法語和粵語雙母語環境下成長，精通兩國文化、語言背景。也因此熟悉了拉丁語系和漢語系的 語言風格，對于英文和普通話都可熟練閱讀及交流。擁有計算機及數學雙學士學位，擅長理論分析，算法設計及邏輯推理等。有廣泛的國際合作關系與背景，可支持有興趣、有能力的學生開拓視野、繼續深造。希望招收對學術有态度、對理論有興趣、對未來 有計劃，聰明、敏銳有責任心的學生。

研究方向 - Research Interests

• 博弈論 Game Theory

  Facility Relocation Game. Suppose we are an ice-cream vendor, and we want to serve the clients on a beach. We want to serve as many clients as possible by choosing an adequate location. Demands evolve over time, and we need to decide whether to move or not. Our goal is to design a strategy such that the clients cannot lie to force us to move, while our profit is maximized.

• 物聯網 Internet-of-Things

  With the proliferation of Internet-of-Things devices, data collection becomes crucial. They can be as simple as temperature capture, or as complex as image capture. These devices are placed in some strategic places to collect information, and we need to proactively collect the information, and this can be only done if we are close enough to these devices within a reasonable range. Our goal is to collect all the information as fast as possible: find a tradeoff between the total travel time and the transmission time.

• 能源優化問題 Power-efficient scheduling problems

  Energy consumption is one of the most important challenges of the 21st century. E stands obviously for Energy, but also Economy, or Environment. We are interested in the energy consumption of the CPUs. Famous techniques include Dynamic Voltage Frequency Scaling (DVFS) or Dynamic Power Management (DPM). The goal is to schedule jobs on the CPUs so that the energy consumption is optimized while satisfying a reasonable quality of service.

  
  

  
  

個人經曆

2014年獲得巴黎薩克雷大學（2021ARWU世界大學學術排名全球第13名）計算機系博士學位。2015年至2016年分别在香港城市大學、香港浸會大學從事博士後研究工作，2017年至2020年在中科院深圳先進技術研究院擔任助理研究員。

于2017年和2019年分别獲中科院國際人才計劃國際博士後和外國青年學者稱号擔任中國計算機學 會（CCF）理論計算機專委會委員，多個國際頂級期刊客座編輯、國際頂級會議主席及主要編委。近年來 在計算理論知名國際學術期刊和會議上發表論文三十餘篇。主持并參與國家、省部級科研項目6項。與法國、波蘭、希臘以及中國香港地區等地研究者建立了長期合作關系。

長期合作 - Collaborators

Evripidis Bampis，索邦大學（Sorbonne Université），法國

Hau Chan，内布拉斯加大學林肯分校（University of Nebraska-Lincoln），美國

Minming Li（李閩溟），香港城市大學，中國香港

Vassilis Zissimopoulos，雅典大學（National and Kapodistrian University of Athens），希臘

研究和教育經曆 - Education & Background

獲獎榮譽 - Award

• 2020：中國科學院國際人才計劃-外國青年學者（CAS President's International Fellowship Initiative（PIFI）- Young Staff）

• 2018：中國科學院國際人才計劃-國際博士後（CAS President's International Fellowship Initiative（PIFI）- Postdoctoral Researchers）

• 2017：中科院深圳先進技術研究院優秀員工

學術兼職 - Collective Responsabilities

• 國際會議的程序委員會委員：AAAI（2019-2021，CCF A類會議）、IPDPS（2019，CCF B類會議）、COCOON（2022）、COCOA（2016，2017，2019，2021）、TAMC（2022）等國際會議的程序委員會委員
  

• 中國計算機學會（CCF）理論計算機專委會委員 （2019至今）

• 客座編輯：Computers and Electrical Engineering（JCR二區期刊），Concurrency and Computation Practice Experience（CCF C類期刊），Wireless Communications and Mobile Computing（CCF C類期刊）

• 出版主席：PDCAT 2020，PAAP 2020

發表論文

期刊

J1

Hua Chen, Lin Chen, Guochuan Zhang, Vincent Chau: Scheduling with Variable-length Calibrations: Two Agreeable Variants. Theoretical Computer Science, Volume 886, p94-105, 2021.  

J2

Vincent Chau, Shengzhong Feng, Nguyen Kim Thang: Competitive algorithms for demand response management in a smart grid. Journal of Scheduling, 2021.  

J3

Eric Angel, Evripidis Bampis, Vincent Chau, Vassilis Zissimopoulos: Calibrations scheduling with arbitrary lengths and activation length. Journal of Scheduling, 2021.  

J4

Vincent Chau, Chi Kit Ken Fong, Shengxin Liu, Elaine Yinling Wang, Yong Zhang: Minimizing energy on homogeneous processors with shared memory. Theoretical Computer Science, Volume 866, p160-170, 2021.  

J5

Vincent Chau, Minming Li, Elaine Yinling Wang, Ruilong Zhang, Yingchao Zhao: Minimizing the Cost of Batch Calibrations. Theoretical Computer Science, Volume 828-829, p55-64, 2020.

J6

Yicheng Xu, Vincent Chau, Chenchen Wu, Yong Zhang, Yifei Zou: Online Joint Placement and Allocation of Virtual Network Functions with Heterogeneous Servers. IEEE Internet of Things Journal, Volume 7, Number 9, p8049-8058, 2020.  

J7

Vincent Chau, Xin Chen, Ken C.K. Fong, Minming Li, Kai Wang: Flow Shop for Dual CPUs with Dynamic Voltage Scaling. Theoretical Computer Science, Volume 819, p24-34, 2020.

J8

Chenchen Fu, Vincent Chau, Minming Li, Chun Jason Xue: Race to idle or not: balancing the memory sleep time with DVS for energy minimization. Journal of Combinatorial Optimization, Volume 35, Number 3, p860-894, 2018.  

J9

Kai Wang, Vincent Chau, Minming Li: Scheduling fully parallel jobs. Journal of Scheduling, Volume 21, Number 6, p619-631, 2018.  

J10

Xin Chen, Vincent Chau, Pengyu Xie, Malgorzata Sterna, Jacek Blazewicz: Complexity of late work minimization in flow shop systems and a particle swarm optimization algorithm for learning effect. Computers & Industrial Engineering, Volume 111, p176-182, 2017.

J11

Eric Angel, Evripidis Bampis, Vincent Chau, Nguyen Kim Thang: Throughput Maximization in Multiprocessor Speed-Scaling. Theoretical Computer Science, Volume 630, p1-12, 2016.

J12

Eric Angel, Evripidis Bampis, Vincent Chau, Dimitrios Letsios: Throughput Maximization for Speed-Scaling with Agreeable Deadlines. Journal of Scheduling, Volume 19, Number 6, p619-625, 2016.  

J13

Eric Angel, Evripidis Bampis, Vincent Chau: Low complexity scheduling algorithms minimizing the energy for tasks with agreeable deadlines. Discrete Applied Mathematics, Volume 175. p1-10, 2014.

會議

C1

Vincent Chau, Chi Kit Ken Fong, Shengxin Liu, Elaine Yinling Wang, Yong Zhang: Minimizing Energy on Homogeneous Processors with Shared Memory. In Proceedings of Frontiers in Algorithmics - 14th International Workshop, (FAW 2020), LNCS 12340: p1-13, 2020 (Best Paper Award).  

C2

Hua Chen, Vincent Chau, Lin Chen, Guochuan Zhang: Scheduling Many Types of Calibrations. In Proceedings of the 14th International Conference on Algorithmic Aspects in Information and Management (AAIM 2020), LNCS 12290: p286-297, 2020 (Best Paper Award).  

C3

Vincent Chau, Minming Li: Active and Busy Time Scheduling Problem: A Survey. In Proceedings of Complexity and Approximation 2020, LNCS 12000: p219-229, 2020.  

C4

Vincent Chau, Shengzhong Feng, Minming Li, Yinling Wang, Guochuan Zhang, Yong Zhang: Weighted Throughput Maximization with Calibrations. In Proceedings of the 16th International Symposium on Algorithms and Data Structures (WADS 2019), LNCS 11646: p311-324, 2019.  

C5

Vincent Chau, Minming Li, Yinling Wang, Ruilong Zhang, Yingchao Zhao: Minimizing the Cost of Batch Calibrations. In Proceedings of the 25th International Conference on Computing and Combinatorics (COCOON 2019), LNCS 11653: p78-89, 2019.  

C6

Vincent Chau, Shengzhong Feng, Nguyen Kim Thang: Competitive Algorithms for Demand Response Management in Smart Grid. In Proceedings of Theoretical Informatics - 13th Latin American Symposium (LATIN 2018), LNCS 10807: p303-316, 2018.  

C7

Eric Angel, Evripidis Bampis, Vincent Chau, Vassilis Zissimopoulos: On the Complexity of Minimizing the Total Calibration Cost. In Proceedings of Frontiers in Algorithmics - 11th International Workshop, (FAW 2017), LNCS 10336: p1-12, 2017.  

C8

Vincent Chau, Minming Li, Samuel McCauley, Kai Wang: Minimizing Total Weighted Flow Time with Calibrations. In Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2017), ACM, ISBN 978-1-4503-4593-4, p67-76, 2017.

C9

Vincent Chau, Xiaowen Chu, Hai Liu, Yiu-Wing Leung: Energy Efficient Job Scheduling with DVFS for CPU-GPU Heterogeneous Systems. In Proceedings of the Eighth International Conference on Future Energy Systems (e-Energy 2017), ACM, ISBN 978-1-4503-5036-5, p1-11, 2017.  

C10

Vincent Chau, Minming Li, Kai Wang: Scheduling Fully Parallel Jobs with Integer Parallel Units. InProceedings of the 14th International Conference of Theory and Applications of Models of Computation (TAMC 2017), LNCS 10185: p144-157, 2017.  

C11

Vincent Chau, Ken C.K. Fong, Minming Li, Kai Wang: Flow Shop for Dual CPUs with Dynamic Voltage Scaling. In 22nd International Conference on Computing and Combinatorics (COCOON 2016), LNCS 9797, p520-531, 2016.  

C12

Eric Angel, Evripidis Bampis, Vincent Chau, Alexander V. Kononov: Min-Power Covering Problems. In 26th International Symposium of Algorithms and Computation (ISAAC 2015), LNCS 9472, p367-377, 2015.

C13

Eric Angel, Evripidis Bampis, Vincent Chau, Nguyen Kim Thang: Non-preemptive Throughput Maximization for Speed-Scaling with Power-Down. In 21st International Conference of Parallel Processing (Euro-Par 2015), LNCS 9233, p171-182, 2015.  

C14

Eric Angel, Evripidis Bampis, Vincent Chau, Nguyen Kim Thang: Throughput Maximization in Multiprocessor Speed-Scaling. In 25th International Symposium of Algorithms and Computation (ISAAC 2014), LNCS 8889, p247-258, 2014.

C15

Evripidis Bampis, Vincent Chau, Dimitrios Letsios, Giorgio Lucarelli, Ioannis Milis, Georgios Zois: Energy Efficient Scheduling of MapReduce Jobs. In 20th International Conference of Parallel Processing (Euro-Par 2014), LNCS 8632, p198-209, 2014.

C16

Eric Angel, Evripidis Bampis, Vincent Chau: Throughput Maximization in the Speed-Scaling Setting. In Proceedings of the 31st Symposium on Theoretical Aspects of Computer Science (STACS 2014), LIPIcs 25, p53-62, 2014.

C17

Evripidis Bampis, Vincent Chau, Dimitrios Letsios, Giorgio Lucarelli, Ioannis Milis: Energy Minimization via a Primal-Dual Algorithm for a Convex Program. In Proceedings of the 12th International Symposium of Experimental Algorithms (SEA 2013), LNCS 7933, p366-377, 2013.

C18

Eric Angel, Evripidis Bampis, Vincent Chau, Dimitrios Letsios: Throughput Maximization for Speed-Scaling with Agreeable Deadlines. In Proceedings of the 10th International Conference of Theory and Applications of Models of Computation (TAMC 2013), LNCS 7876, p10-19, 2013.

C19

Eric Angel, Evripidis Bampis, Vincent Chau: Low Complexity Scheduling Algorithm Minimizing the Energy for Tasks with Agreeable Deadlines. In Proceedings of the 10th Latin American Symposium (LATIN 2012), LNCS 7256, p13-24, 2012.