Laboratory Faculty Member Tan Lulin and PhD Student Xia Haoming Attend the 2026 Annual Academic Conference of the Guangdong Operations Research Society

Time: 2026-11-09 21:45:00

From November 7 to 8, 2026, the 2026 Annual Academic Conference of the Guangdong Operations Research Society was held at Wuyi University in Jiangmen. The conference was hosted by the Guangdong Operations Research Society and organized by the School of Mathematics and Computational Science of Wuyi University. Laboratory faculty member Tan Lulin and PhD student Xia Haoming attended the conference for academic exchange.

From November 7 to 8, 2026, the 2026 Annual Academic Conference of the Guangdong Operations Research Society was held at Wuyi University in Jiangmen. The conference was hosted by the Guangdong Operations Research Society and organized by the School of Mathematics and Computational Science of Wuyi University. Laboratory faculty member Tan Lulin and PhD student Xia Haoming attended the conference for academic exchange.

The annual conference brought together nearly 150 faculty and student representatives from more than 30 universities, including Sun Yat-sen University, South China University of Technology, The Hong Kong Polytechnic University, The Chinese University of Hong Kong (Shenzhen), South China Normal University, Guangdong University of Technology, Jinan University, Great Bay University, Guangzhou University, Shenzhen University, Shantou University, and Dongguan University of Technology. Participants exchanged views on operations research, applied mathematics, computational mathematics, probability and mathematical statistics, big data science, artificial intelligence, and the mid- and low-altitude economy.

The conference featured two invited keynote lectures and 18 thematic academic presentations, focusing on frontier topics such as image optimization, algorithm theory, machine learning, graph algebra, brain-inspired perception, stochastic processes, stochastic programming, quantum machine learning, and sparse optimization. Professor Yao Zheng’an, President of the Guangdong Operations Research Society and a professor at the School of Mathematics of Sun Yat-sen University, addressed the conference. He noted that the Society is not only a platform for academic exchange and collaborative research, but also a non-profit scientific guidance platform that upholds the leadership of the Communist Party of China. It must always maintain the correct direction, abide by laws and regulations, operate in accordance with laws and rules, strictly implement systems such as the council and the general membership meeting, standardize financial management and deliberative procedures, and strengthen council members’ performance of duties, so as to ensure the healthy and orderly development of the Society.

During the conference, PhD student Xia Haoming presented an academic report and held in-depth exchanges with participating experts and scholars on related frontier issues, jointly exploring the frontier development of operations research and its interdisciplinary fields in the era of large AI models. Faculty member Tan Lulin also attended the conference and communicated academically with peers in light of the conference reports and thematic discussions.

This participation is part of the laboratory’s practice of encouraging faculty and students to “go out” and engage in high-level academic exchange. It helps participants grasp disciplinary frontiers, broaden their academic horizons, and promote external academic communication and cooperation.

The annual conference brought together nearly 150 faculty and student representatives from more than 30 universities, including Sun Yat-sen University, South China University of Technology, The Hong Kong Polytechnic University, The Chinese University of Hong Kong (Shenzhen), South China Normal University, Guangdong University of Technology, Jinan University, Great Bay University, Guangzhou University, Shenzhen University, Shantou University, and Dongguan University of Technology. Participants exchanged views on operations research, applied mathematics, computational mathematics, probability and mathematical statistics, big data science, artificial intelligence, and the mid- and low-altitude economy.

The conference featured two invited keynote lectures and 18 thematic academic presentations, focusing on frontier topics such as image optimization, algorithm theory, machine learning, graph algebra, brain-inspired perception, stochastic processes, stochastic programming, quantum machine learning, and sparse optimization. Professor Yao Zheng’an, President of the Guangdong Operations Research Society and a professor at the School of Mathematics of Sun Yat-sen University, addressed the conference. He noted that the Society is not only a platform for academic exchange and collaborative research, but also a non-profit scientific guidance platform that upholds the leadership of the Communist Party of China. It must always maintain the correct direction, abide by laws and regulations, operate in accordance with laws and rules, strictly implement systems such as the council and the general membership meeting, standardize financial management and deliberative procedures, and strengthen council members’ performance of duties, so as to ensure the healthy and orderly development of the Society.

During the conference, PhD student Xia Haoming presented an academic report and held in-depth exchanges with participating experts and scholars on related frontier issues, jointly exploring the frontier development of operations research and its interdisciplinary fields in the era of large AI models. Faculty member Tan Lulin also attended the conference and communicated academically with peers in light of the conference reports and thematic discussions.

This participation is part of the laboratory’s practice of encouraging faculty and students to “go out” and engage in high-level academic exchange. It helps participants grasp disciplinary frontiers, broaden their academic horizons, and promote external academic communication and cooperation.