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CHEN_Xiaojun

Chair Professor Chen Xiaojun received RGC Collaborative Research Fund 2021/22

Our warmest congratulations to Chair Professor Chen Xiaojun who receives RGC Collaborative Research Fund (Research Equipment Grant) in 2021/22. Professor Chen is the Project Coordinator (PC) of the proposal titled “High Performance Deep Learning Clusters for Big Data Analytics”, one of the five funded PolyU projects in this year Exercise. Co-PIs are from COMP, LSGI, AF, SO of PolyU and CUHK and HKBU. The Research Grant Council (RGC) would support the project with a total funding of HKD 3,099,659. In this Exercise, PolyU submitted 50 CRF preliminary proposals with PolyU staff as PC. After a long and rigorous selection procedure, 5 proposals (including 3 Research Equipment Grant and 2 Research Project Grant) were supported by RGC with a total amount of awarded funding of $24.109 million. About RGC CRF The main objective of the Collaborative Research Project Grant is to encourage research groups in UGC-funded universities to engage in collaborative research across disciplines and across universities with a view to enhancing the research output of universities in terms of the level of attainment, quantity, dimensions and speed. It provides funding for staff, equipment and general expenses related to the supported projects. In assessing proposals, the RGC puts emphasis on capacity building and the potential of a proposal to develop into an area of strength. For more information about the CRF, please visit https://www.ugc.edu.hk/eng/rgc/funding_opport/crf/ For the full list of funded projects in 2021/22 CRF Exercise, please visit https://www.ugc.edu.hk/eng/rgc/funding_opport/crf/funded%20research/21-22.html       END

7 Jan, 2022

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AMA staff received FAST Faculty Awards for Outstanding Achievement 2021

31 Dec, 2021

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Winning team

Dr Fridolin Ting and AMA QEF team win Two Distinguished Awards at the Quacquarelli Symonds (QS) Reimagine Education Awards 2021

Congratulations to our Senior Teaching Fellow Dr Fridolin Ting and AMA team of Quality Education Fund (QEF) projects for winning two distinguished awards at Quacquarelli Symonds (QS) Reimagine Education 2021, in recognition of their innovative teaching and learning methods. Co-organised by QS and the Wharton School at the University of Pennsylvania, the Reimagine Education Awards are regarded as the “Oscars” of education, rewarding innovative approaches that enhance students’ learning outcomes and employability. Among 1,350 contestants from 84 countries and regions, there are only 48 projects winning medals including one Silver and one Bronze award for AMA's QEF projects, and one Gold award for the project led by Professor Daniel Shek, Associate Vice President (Undergraduate Programme) of PolyU:   Gold Award in Nurturing Wellbeing & Purpose category Project title: Leadership and Intrapersonal Development Programme Project leader: Professor Daniel Shek, Associate Vice President (Undergraduate Programme), PolyU Project summary: The programme builds up important positive attributes and competencies among university students, enabling them to pursue continual self-improvement, enhance their wellbeing, and contribute to society, through a suite of four subjects, namely Tomorrow’s Leaders, Service Leadership, Promotion of Children and Adolescent Development, and Service Leadership through Serving Children and Families with Special Needs, with both formal and informal learning processes.   Silver Award in Science of Learning category Project title: Innovative PALMS Drawing Pedagogies and Apps to Increase Active Learning in Mathematics and Science Project leader: Dr Fridolin Ting, Senior Teaching Fellow, Department of Applied Mathematics, PolyU Project summary: According to extensive evidenced-based research, active learning strategies significantly improve Science and Mathematics students' achievement, understanding and application of concepts. In addition, writing and drawing are integral parts of learning and teaching in the Sciences and Mathematics, to convey abstract concepts and ideas. This project aims to increase active learning in Science and Mathematics education through innovative pedagogies, mobile writing and drawing applications.   Bronze Award in K12 category Project title: Developing Active Learning Pedagogies and Mobile Applications in High School Mathematics Education Project leader: Dr Fridolin Ting, Senior Teaching Fellow, Department of Applied Mathematics, PolyU Project summary: The project combines active learning pedagogies and novel writing and drawing apps that are optimal for active learning and conveying abstract concepts and ideas for Mathematics students. Thirty-five secondary school mathematics teachers and principals have been involved in the project.   A full list of reimagine application award winners this year: https://content.qs.com/re21/Reimagine_Education_Winner_List_20211215.pdf   *** END ***

22 Dec, 2021

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Online Booking for Exam Paper Review, 20- 21 Dec 2021

The online registration for exam paper review would be scheduled between 20 Dec and 21 Dec 2021 Make appointment here

17 Dec, 2021

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PolyU ranked 54th in 2022 Best Global Universities for Mathematics by U.S. News & World Report

5 Nov, 2021

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Chair Professor Sun Defeng collaborates with Noah's Ark Lab for the development of an efficient industrial level optimization package

華為供應鏈問題由於其超大規模(千萬級的變數和約束,數百萬的整數變數)、數值範圍大(數學模型中最大係數和最小係數之間差距超過)、約束矩陣低秩病態(約束矩陣的條件數超過)、靈活魯棒的增量求解等問題,一直給包括Gurobi,CPLEX,XPRESS在內的各個數學規劃求解器帶來很大的計算挑戰。針對華為供應鏈的特殊場景,諾亞方舟實驗室(Noah's Ark Lab)團隊聯合來自香港理工大學孫德鋒老師(Professor Defeng Sun) 團隊和上海交通大學Apex實驗室張偉楠老師團隊共同實現了自研求解器的設計和加速,現已落地華為供應鏈多個場景,支援日常生產需要。 總體框架 以多工廠排產引擎(變數和約束均在2000萬以上,全流程需要完成90輪線性規劃問題的求解,包括數據預處理和後處理,需要260分鐘以內輸出報表,供業務使用)為例,諾亞自研求解器主要包括了模型化簡,線性規劃求解,連續求解,混合整數規劃求解和數據後處理5個部分。其中,連續求解的模組源自華為供應鏈的特殊業務訴求,其主要作用是根據第一輪線性規劃的解為一部分變量添加單邊懲罰目標,從而提升批量生產的滿足率。 技術重點 首先,根據華為供應鏈問題的特點,我們在線性規劃求解部分主要改進了對偶單純形法(dual Simplex)。考慮到約束矩陣的性質,我們設計了更高效的數據結構加速出入基的列更新計算。同時,我們改進了尋找初始基的方法,並添加了多種啟發式方法,在一定程度上防止了約束矩陣退化現象中頻繁無效出入基的現象。由於約束矩陣天然的病態性和數值差異,我們發現在完成實際問題的大規模計算過程中,Fill-in現象會遠比公開的Benchmark嚴重,這個現象會導致矩陣在計算過程中變得更加稠密從而降低計算性能。因此,我們利用AVX-512指令集,重新設計了數據結構,加速底層線性方程組的計算。   在連續求解的部分,由於添加的變數約束佔比不超過10%,因此這一部分我們選擇了原單純形法(primal Simplex)。同時,我們發現變量狀態(例如:upper bound, lower bound, superbasic等)的影響超過了變量取值的影響,據此我們設計了若干啟發式方法來加速狀態的修正,這種修正會降低求解過程中phase I的時間,從而加速全流程求解。事實上,即使是最快的商務軟件在連續求解的過程中計算也不滿足魯棒性,時常由於數值問題影響全流程計算的穩定性,但諾亞自研求解器由於更多啟發式演算法的設計,在日常運營中的穩定性超過當前最好的商務軟件。 在混合整數求解部分,我們採用了branch-and-cut的方法,充分利用cut separation的信息減少branching的決策失誤率。在這裡,分別採用了啟發式和learning的方法,實現了cut selection,加速全流程的求解。 運營效果 諾亞自研求解器已經服務于華為供應鏈多個項目,以多工廠排產任務為例,諾亞自研求解器已經在2020年9月18日上線,協助支撐引擎安全運營。 資料來源: https://mp.weixin.qq.com/s/xbzIlj4Togx2MDSAkgCs8g   — 完 —

1 Nov, 2021

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Prof Sun  his team received the award from Dr Huiling Zhen the representative of Huawei Technologies

Chair Professor Sun Defeng received the Distinguished Collaborator Award from Hong Kong Research Center, Huawei Technologies Co. Ltd.

Congratulations to Chair Professor Defeng Sun, Head of Department of Applied Mathematics at PolyU for winning the Distinguished Collaborator Award from Hong Kong Research Center, Huawei Technologies Co. Ltd. for his contribution on a collaborative research project named ‘Solving Large Scale Linear Programming Models for Production Planning (面向排產的大規模線性規劃求解器)’. Professor Sun and his research team received the award from Dr Huiling Zhen, the representative of Huawei Technologies Co. Ltd. (2nd from the left), on 29 October 2021 (Friday). The project focused on the core technical problem of the multi-factory production planning problem, which can be regarded as a relaxed linear programming problem of the large-scale mixed-integer programming problem. Based on the specific structure and data characteristics of the specific problems, in this project, Professor Sun and his research team constructed a more stable and robust algorithm for providing effective initial solutions and efficient presolving method. The team designed a software package that outperforms the current commercial software package for linear programming. The research outcome has greatly enhanced the efficiency of the supply chain management and planning. Focusing on research of the development of efficient optimization algorithms for solving large-scale complex optimization problems, statistical regression models and machine learning problems, Professor Sun devised a world-recognized second-order sparsity based solution methodology separating useful data from useless data and uncovering minute information on a large scale.  This innovative technology has been used both academically and in real-world applications.   Professor Sun currently serves as an Associate Editor of SIAM Journal on Optimization, Mathematical Programming, Journal of the Operations Research Society of China, Journal of Computational Mathematics and Science China Mathematics, and Journal of Optimization Theory and Applications. He has been an Advisory Committee Member of Asia-Pacific Journal of Operational Research since 2014, and is invited as a plenary speaker at the SIAM Conference on Computational Science and Engineering (CSE21) held in March 2021. Professor Sun is an elected Fellow of both the Society for Industrial and Applied Mathematics (SIAM) and the China Society for Industrial and Applied Mathematics (CSIAM).

22 Oct, 2021

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Funding support from RGC General Research Fund 2021-2022 and National Natural Science Foundation of China 2021

AMA’s research in Mathematics and Statistics is well recognized by receiving top world ranking and great number of  research grants by RGC and other sources.  Recently the University Grants Committee has released the result of 2021 - 2022 General Research Fund application.  AMA is pleased to receive funding for 19 research projects. Congratulations to the following colleagues whose projects are supported:    Prof. Chen Xiaojun Dr Ding Yi Dr Guo Xin Dr James Huang Dr Li Buyang Dr Li Xiao Prof. Li Xun Dr Lou Yijun Dr Pong Ting Kei Prof. Qiao Zhonghua Prof. Sun Defeng Dr Raymond Sze Prof. Wang Zhian Dr Xu Zuoquan Prof. Yang Xiaoqi Dr Yue Man Chung Dr Zhang Zaikun Prof. Zhao Xingqiu Dr Zhou Zhi   Moreover, 7 of our colleagues receive funding from the National Natural Science Foundation of China (NSFC) grant in 2021. The Grant aims to support basic research and stimulate free exploration, identify and foster scientific talents, as well as to promote progress in science and technology and the harmonious socioeconomic development for the nation. Our heartfelt congratulations to the below faculty members and research staff whose projects are supported by NSFC:   Dr Ding Yi Dr Du Mingyue Dr Fu Guanxing Dr James Huang Dr Gao Yu Dr Tu Kai Dr Zhang Guofeng  

21 Jul, 2021

Prof Chen Xiaojun conferred SIAM fellow 2021

Prof Chen Xiaojun, Chair Professor of Applied Mathematics Conferred SIAM Fellowship 2021

Congratulations to Professor Xiaojun Chen, Chair Professor of the Department of Applied Mathematics (AMA) at PolyU who is named 2021 Fellow of the Society of Industrial and Applied Mathematics (SIAM) in recognition of her contributions to optimization, stochastic variational inequalities, and nonsmooth analysis. Professor Chen has an excellent track record in academic research and research leadership. She has published over 80 research papers in top journals of applied mathematics. She was invited to give plenary and semi-plenary talks at many international conferences in the USA, Europe, South America, Australia and Asia. She was elected as a semi-plenary speaker at the 21st International Symposium on Mathematical Programming 2012 in Berlin, Germany.  This is the flagship event of the Mathematical Optimization Society held every three years. Prof. Chen has won 20 grants as a principal investigator from Australian Research Council, the Japan Society for the Promotion of Sciences and the Hong Kong Research Grants Council.   Professor Chen has made a highly significant contribution to the promotion and maintenance of high professional standards in mathematical research in PolyU as Head of AMA (until June 2019) and the Director of University Research Facility in Big Data Analytics at PolyU and Co-Director of the Chinese Academy of Sciences (CAS) Academy of Mathematics and Systems Science (AMSS) and PolyU Joint Laboratory of Applied Mathematics.    Prof. Chen serves in the editorial boards of 8 international journals including SIAM Journal on Numerical Analysis and SIAM Journal on Optimization.   About SIAM and SIAM Fellowship Society for Industrial and Applied Mathematics (SIAM) is an international community of over 14,000 individual members. Almost 500 academic, manufacturing, research and development, service and consulting organizations, government, and military organizations worldwide are institutional members. SIAM was incorporated in 1952 as a nonprofit organization to convey useful mathematical knowledge to other professionals who could implement mathematical theory for practical, industrial, or scientific use. The SIAM Fellowship recognizes members for their exemplary research as well as outstanding service to the community. Through their contributions, SIAM Fellows help advance the fields of applied mathematics and computational science. SIAM Fellow is an honorific title for life, and all Fellows will be listed on the SIAM website. For the full list of 2021 SIAM Fellow Class, please visit https://sinews.siam.org/Details-Page/siam-announces-class-of-2021-fellows       END

8 Apr, 2021

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Chair Professor Defeng Sun, Head of Department of Applied Mathematics Honoured as an Inaugural CSIAM Fellow

Congratulations to Chair Professor Defeng Sun, Head of Department of Applied Mathematics at PolyU for being selected as one of the eight elected Inaugural Fellows of the China Society for Industrial and Applied Mathematics (CSIAM). CSIAM Fellow is an honorific title for life, in recognition of its distinguished members for their contributions to the field of industrial and applied mathematics. Early in April 2020, Professor Sun was conferred as 2020 Fellow of the Society for Industrial and Applied Mathematics (SIAM) in recognition of his contributions to algorithms and software for conic optimization, particularly matrix optimization. Focusing on research of the development of efficient optimization algorithms for solving large‐ scale complex optimization problems, statistical regression models and machine learning problems, Professor Sun devised a world‐ recognized second‐order sparsity solution that renders data with more precision and depth than traditional methods, efficiently separating useful data from useless data and uncovering minute information on a large scale. This solution is the first of its kind and is beneficial across all industries and research fields, revolutionizing the way of leveraging data and making prediction on behaviour on the information highway. Professor Sun also serves as an Associate Editor of SIAM Journal on Optimization, Mathematical Programming, Journal of the Operations Research Society of China, and Journal of Computational Mathematics and Science China Mathematics. He has been an Advisory Committee Member of Asia‐ Pacific Journal of Operational Research since 2014, and is invited as a plenary speaker at the SIAM Conference on Computational Science and Engineering (CSE21) to be held in 2021. About CSIAM  Founded in 1990, China Society for Industrial and Applied Mathematics (CSIAM) is a non‐ governmental organization for Chinese applied mathematicians. Supervised by the Ministry of Science and Technology of the People's Republic of China, CSIAM aims to strengthen the communication between academia and industry, and promote collaboration between mathematicians, engineers, technicians and corporate executives. It will help solve mathematical problems which hinders economic and technological development, as well as advance the research and education in applied mathematics. For details, please visit: CSIAM 18th Annual Conference cum Award Presentation https://csiam.org.cn/home/article/detail/id/1372. html

23 Nov, 2020

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