学术交流

Abstract: In Modern campus, smart devices such as cell phones are popular. The data generated by smart devices can help tackle some challenging issues such as preventing suicide and reducing dropout rates. In addition, campus data can help improving facility usage and university policy making. In this talk, I will discuss our Research and Development on applications based on campus big data.   Biography: Dr. Jianjun Zhou received his Ph.D. degree in computing science from University of Alberta, his B.S. degree in computer science and technology from University of Science and Technology of…

Abstract: With the potential of enabling the massive device connection and enhancing the spectrum efficiency, non-orthogonal multiple access (NOMA) has been considered as a promising technology for the sixth generation (6G) wireless communication networks. The key idea of NOMA is to allow signals of different users to be superimposed on each other at the same time and on the same frequency. To extract intended messages, a receiver applies successive interference cancellation (SIC) to separate signals from different users. In this talk, we consider a fundamental problem for multi-cell NOMA sys…

Abstract: Presolve plays an important role in linear and mixed-integer programming optimization solvers. Effective presolvers can reduce model size significantly, detect infeasibility or unboundedness quickly, and tighten bounds of columns and rows. In this talk, design and implementation of some effective and practical presolve techniques for linear programming will be discussed.   Biography: Longfei Wang is an engineer in Shenzhen Research Institute of Big Data. He has worked as an algorithm expert in AI department of Cainiao Network. He received master and bachelor degree from Peking Un…

“Mathematical Programming Computation” Seminar Series: Dr. Xijun Li Organizers: Shenzhen Research Institute of Big Data (深圳市大数据研究院 in Chinese)                Shenzhen International Center for Industrial and Applied Mathematics (深圳国际工业与应用数学中心 in Chinese) Speaker: Dr. Xijun Li Language: English Talk title: Order matters: Boosting Mathematical Solver via Machine Learning Techniques Talk abstract: The trend of using machine learning techniques to improve the mathematical programming solvers has recently drawn lots of attention. In this talk, we will first restate an easily overlooked problem…

Speaker: Dr.Yandong He Topic: An effective metaheuristic for the last mile delivery with roaming delivery locations and stochastic travel times by Dr.Yandong He Time & Date: on March 16 (Thursday) 09:00-10:00 (Beijing Time) Zoom Meeting: https://cuhk-edu-cn.zoom.us/j/91425379503?pwd=ZGNGR1o2WTJ0Wm5LNTNkS014NVN4QT09 Zoom Meeting ID: 914 2537 9503 Password​：123456 Abstract: We consider the last mile delivery system with roaming delivery locations and stochastic travel times. The problem is formulated as a two-stage stochastic programming model with recourses, its objective is to mini…