学术交流

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…

Speaker: Dr.Shuaibin Wan Topic: Machine Learning-Assisted Design of Electrode Microstructures and Flow Fields for Redox Flow Batteries Time & Date: 10:00 -11:00,Tuesday,February 28, 2023 (Beijing time) Zoom Meeting: https://cuhk-edu-cn.zoom.us/j/95604643160?pwd=eWJmNkpUN3ovZlRhdHVEN1ByV2FSZz09 Zoom Meeting ID:956 0464 3160 Password：123456 Abstract: Redox flow batteries (RFBs) offer a reliable solution for long-term and grid-scale storage of renewable energy. However, the lack of effective approaches to designing electrodes and flow fields limits the performance of RFBs. In this tal…

“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…

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. Timo Berthold Language: English Talk title: Machine Learning inside MIP solvers Talk abstract: Modern MIP solvers consist of many subroutines that take care of different aspects of the solution process: presolving, cut generation, cut selection, primal heuristics, and so forth. For a given MIP, the solver has to make online decisions on which of multiple alternative instantiations of a sub…

Speaker: Dr. Liang Zhang Topic:  Deep Reinforcement learning and its commercial applications Time & Date: 14:00 -15:00, Tuesday,January 16, 2023 (Beijing time) Zoom Meeting: https://cuhk-edu-cn.zoom.us/j/98058735363?pwd=RDZRRnVkd09oSmhVL1lKd212ODkzZz09 Zoom Meeting ID:980 5873 5363 Password：123456 Abstract: Since Google's AlphaGo outperformed the level of human in Go, reinforcement learning has proven its excellent ability in multiple game scenarios. At present, many research works continue to improve the ability of reinforcement learning algorithms to make them more efficient, fas…

Speaker: Dr. Shuai Wang Topic:  Deep speaker embedding learning and applications to related tasks Time & Date: 10:30 -11:30, Tuesday,January 17, 2023 (Beijing time) Zoom Meeting: https://cuhk-edu-cn.zoom.us/j/94045186370?pwd=TWI5WmRRU2Z2aGh5U0dlMXBOMTJkUT09 Zoom Meeting ID:940 4518 6370 Password:123456 Abstract: Speaker embeddings are low-dimensional representations of a speaker's voice that capture his unique characteristics. They are commonly used for tasks where speaker identity should be modeled. In this talk, I will introduce several approaches for improving speaker embedding'…

Speaker: Dr.Yufeng Cao   Topic: SRIBD Seminar:Network Revenue Management Under a Spiked Multinomial Logit Choice Model Abstract: Airline booking data have shown that the fraction of customers who choose the cheapest available fare class often is much greater than that predicted by the multinomial logit choice model calibrated with the data. For example, the fraction of customers who choose the cheapest available fare class is much greater than the fraction of customers who choose the next cheapest available one, even if the price difference is small. To model this spike in demand for the chea…

Speaker: Dr. Siqi Yang Topic: On the Robustness and Generalization of Object Detection and Game Applications Time & Date: 10:00 -11:00, Friday,December 30, 2022 (Beijing time) Zoom Meeting: https://cuhk-edu-cn.zoom.us/j/99311132075?pwd=T0t0VHJrdDlhQlltNWtMTEhQMWNEZz09 Zoom Meeting ID:993 1113 2075 Password：123456 Abstract: Object detection is to recognize and locate objects in images, which is one of the fundamental problems in computer vision. It has been developed rapidly in the past decades and has a wide range of applications, e.g., surveillance systems, autonomous vehicles, me…

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. Fan Zhang Language: English Talk title: Large-Scale Optimizations in ICT and Several Practical and Theoretical Problems Talk abstract: Large-scale optimization has played an important role in practical information and communication technology (ICT) scenarios. Even though most of the practical optimizations are linear programming or mixed integer programming, the problem size could be ove…