POSITION/TITLE
Senior Engineer
RESEARCH FIELD
Integer Programming, Production Scheduling, Data-driven Optimization
wangyuan@cuhk.edu.cn
EDUCATION BACKGROUND
Northeastern University, PhD in Systems Engineering.
Northeastern University, Bachelor in Control Theory and Engineering.
BIOGRAPHY
Dr. Wang Yuan joined the Shenzhen Big Data Research Institute in November 2022. He received his bachelor’s and PhD degrees in System Engineering from Northeastern University in 2013 and 2019 respectively. In 2019, he worked as an algorithm engineer (intern) at Huawei Noah's Ark Lab, where he was mainly responsible for algorithm research and development for Huawei's multi-factory production planning problems. From 2019 to 2022, he worked as a postdoctoral researcher at The Chinese University of Hong Kong (Shenzhen), focusing on data-driven optimization methods to solve multi-airport 4D trajectory planning problems in air traffic flow management.
PUBLICATIONS
[1] Wang Y, Luo X, Zhang F, et al. GPU-based model predictive control for continuous casting spray cooling control system using particle swarm optimization[J]. Control Engineering Practice, 2019, 84: 349-364.
[2] Wang Y, Luo X, Yu Y, et al. Evaluation of heat transfer coefficients in continuous casting under large disturbance by weighted least squares Levenberg-Marquardt method[J]. Applied Thermal Engineering, 2017, 111: 989-996.
[3] Cui H, Luo X, Wang Y. Scheduling of steelmaking-continuous casting process using deflected surrogate Lagrangian relaxation approach and DC algorithm[J]. Computers & Industrial Engineering, 2020, 140: 106271.
[4] Cui H, Luo X, Wang Y. Scheduling of steelmaking-continuous casting process with different processing routes using effective surrogate Lagrangian relaxation approach and improved concave–convex procedure[J]. International Journal of Production Research, 2021: 1-26.
[5] Yu Y, Luo X, Wang Y, et al. Estimation of boundary condition of two-dimensional nonlinear PDE with application to continuous casting[J]. Computers & Mathematics with Applications, 2020, 80(12): 3082-3097.
[6] Zhang Z, Wang Y, Liu C. Multihoming effect on the two-sided platform of second-hand cars[J]. Computers & Industrial Engineering, 2023: 109160.
POSITION/TITLE
Engineer
RESEARCH FIELD
The development and application of optimization solver, Reinforcement Learning
chenhongjun@sribd.cn
EDUCATION BACKGROUND
East China Normal University, Master's degree in Computer Science and Technology.
East China Normal University, Bachelor's degree in Software Engineering."
BIOGRAPHY
Chen Hongjun received his bachelor’s and master’s degrees in engineering from East China Normal University in 2019 and 2022 respectively. He joined the Shenzhen Big Data Research Institute in July 2022 as an engineer, with research interests in operations research, reinforcement learning, and exploring optimization methods combined with machine learning.
PUBLICATIONS
Li W, Chen H, Jin B, et al. Multi-Agent Path Finding with Prioritized Communication Learning[C]. IEEE International Conf. Robotics and Automation (ICRA), 2022: 10695-10701
POSITION/TITLE
Engineer
RESEARCH FIELD
The development and application of optimization solver, Reinforcement Learning
chenhongjun@sribd.cn
EDUCATION BACKGROUND
East China Normal University, Master's degree in Computer Science and Technology.
East China Normal University, Bachelor's degree in Software Engineering."
BIOGRAPHY
Chen Hongjun received his bachelor’s and master’s degrees in engineering from East China Normal University in 2019 and 2022 respectively. He joined the Shenzhen Big Data Research Institute in July 2022 as an engineer, with research interests in operations research, reinforcement learning, and exploring optimization methods combined with machine learning.
PUBLICATIONS
Li W, Chen H, Jin B, et al. Multi-Agent Path Finding with Prioritized Communication Learning[C]. IEEE International Conf. Robotics and Automation (ICRA), 2022: 10695-10701
POSITION/TITLE
Engineer
RESEARCH FIELD
The development and application of optimization solver, Reinforcement Learning
chenhongjun@sribd.cn
EDUCATION BACKGROUND
East China Normal University, Master's degree in Computer Science and Technology.
East China Normal University, Bachelor's degree in Software Engineering."
BIOGRAPHY
Chen Hongjun received his bachelor’s and master’s degrees in engineering from East China Normal University in 2019 and 2022 respectively. He joined the Shenzhen Big Data Research Institute in July 2022 as an engineer, with research interests in operations research, reinforcement learning, and exploring optimization methods combined with machine learning.
PUBLICATIONS
Li W, Chen H, Jin B, et al. Multi-Agent Path Finding with Prioritized Communication Learning[C]. IEEE International Conf. Robotics and Automation (ICRA), 2022: 10695-10701
POSITION/TITLE
Engineer
RESEARCH FIELD
The development and application of optimization solver, Reinforcement Learning
chenhongjun@sribd.cn
EDUCATION BACKGROUND
East China Normal University, Master's degree in Computer Science and Technology.
East China Normal University, Bachelor's degree in Software Engineering."
BIOGRAPHY
Chen Hongjun received his bachelor’s and master’s degrees in engineering from East China Normal University in 2019 and 2022 respectively. He joined the Shenzhen Big Data Research Institute in July 2022 as an engineer, with research interests in operations research, reinforcement learning, and exploring optimization methods combined with machine learning.
PUBLICATIONS
Li W, Chen H, Jin B, et al. Multi-Agent Path Finding with Prioritized Communication Learning[C]. IEEE International Conf. Robotics and Automation (ICRA), 2022: 10695-10701
POSITION/TITLE
Senior Engineer
RESEARCH FIELD
Linear Programming, Vehicle Routing Problem, Deep Reinforcement Learning
weijiangwen@sribd.cn
EDUCATION BACKGROUND
Shanghai University, Bachelor in Information and Computing Science
HONORS AND AWARDS
THE 2021 FRANZ EDELMAN FINALIST AWARD
BIOGRAPHY
Jiangwen Wei joined the Shenzhen Research Institute of Big Data in September 2023 and currently working as a senior engineer. In 2006, He received his bachelor degree in Information and Computing Science at Shanghai University. His current research interests include Linear Programming, Vehicle Routing Problem and Deep Reinforcement Learning. He and his team received THE 2021 FRANZ EDELMAN FINALIST AWARD by the work "Alibaba VRP Algorithms Solved Its Hour-Level Delivery Problem". He was awarded one invention patent for "Data Processing Method, Data Processing Device, and Server."
POSITION/TITLE
Senior Engineer
RESEARCH FIELD
Linear Programming, Vehicle Routing Problem, Deep Reinforcement Learning
weijiangwen@sribd.cn
EDUCATION BACKGROUND
Shanghai University, Bachelor in Information and Computing Science
HONORS AND AWARDS
THE 2021 FRANZ EDELMAN FINALIST AWARD
BIOGRAPHY
Jiangwen Wei joined the Shenzhen Research Institute of Big Data in September 2023 and currently working as a senior engineer. In 2006, He received his bachelor degree in Information and Computing Science at Shanghai University. His current research interests include Linear Programming, Vehicle Routing Problem and Deep Reinforcement Learning. He and his team received THE 2021 FRANZ EDELMAN FINALIST AWARD by the work "Alibaba VRP Algorithms Solved Its Hour-Level Delivery Problem". He was awarded one invention patent for "Data Processing Method, Data Processing Device, and Server."
POSITION/TITLE
Senior Engineer
RESEARCH FIELD
Linear Programming, Vehicle Routing Problem, Deep Reinforcement Learning
weijiangwen@sribd.cn
EDUCATION BACKGROUND
Shanghai University, Bachelor in Information and Computing Science
HONORS AND AWARDS
THE 2021 FRANZ EDELMAN FINALIST AWARD
BIOGRAPHY
Jiangwen Wei joined the Shenzhen Research Institute of Big Data in September 2023 and currently working as a senior engineer. In 2006, He received his bachelor degree in Information and Computing Science at Shanghai University. His current research interests include Linear Programming, Vehicle Routing Problem and Deep Reinforcement Learning. He and his team received THE 2021 FRANZ EDELMAN FINALIST AWARD by the work "Alibaba VRP Algorithms Solved Its Hour-Level Delivery Problem". He was awarded one invention patent for "Data Processing Method, Data Processing Device, and Server."
POSITION/TITLE
Senior Engineer
RESEARCH FIELD
Linear Programming, Vehicle Routing Problem, Deep Reinforcement Learning
weijiangwen@sribd.cn
EDUCATION BACKGROUND
Shanghai University, Bachelor in Information and Computing Science
HONORS AND AWARDS
THE 2021 FRANZ EDELMAN FINALIST AWARD
BIOGRAPHY
Jiangwen Wei joined the Shenzhen Research Institute of Big Data in September 2023 and currently working as a senior engineer. In 2006, He received his bachelor degree in Information and Computing Science at Shanghai University. His current research interests include Linear Programming, Vehicle Routing Problem and Deep Reinforcement Learning. He and his team received THE 2021 FRANZ EDELMAN FINALIST AWARD by the work "Alibaba VRP Algorithms Solved Its Hour-Level Delivery Problem". He was awarded one invention patent for "Data Processing Method, Data Processing Device, and Server."
POSITION/TITLE
SRIBD Engineer of Optimization Solver Development
RESEARCH FIELD
Operations Research and Traffic Optimization
tangyuanhua@sribd.cn
EDUCATION BACKGROUND
South China University of Technology, Master of Management science and Engineering
South China University of Technology, Bachelor of Industrial Engineering
BIOGRAPHY
Tang Yuanhua, received the bachelor's degree and master's degree in management from South China University of Technology in 2020 and 2023 respectively, and joined Shenzhen Research Institute of Big Data as an engineer in 2023. Her research interests include operations research and traffic optimization.
ACADEMIC PUBLICATIONS
Aihu Wang, Yuanhua Tang, Yasir Tariq Mohmand, et al. Modifying link capacity to avoid Braess Paradox considering elastic demand. Physica A: Statistical Mechanics and its Applications, Volume 605, 2022: 127951
POSITION/TITLE
SRIBD Engineer of Optimization Solver Development
RESEARCH FIELD
Operations Research and Traffic Optimization
tangyuanhua@sribd.cn
EDUCATION BACKGROUND
South China University of Technology, Master of Management science and Engineering
South China University of Technology, Bachelor of Industrial Engineering
BIOGRAPHY
Tang Yuanhua, received the bachelor's degree and master's degree in management from South China University of Technology in 2020 and 2023 respectively, and joined Shenzhen Research Institute of Big Data as an engineer in 2023. Her research interests include operations research and traffic optimization.
ACADEMIC PUBLICATIONS
Aihu Wang, Yuanhua Tang, Yasir Tariq Mohmand, et al. Modifying link capacity to avoid Braess Paradox considering elastic demand. Physica A: Statistical Mechanics and its Applications, Volume 605, 2022: 127951
POSITION/TITLE
SRIBD Engineer of Optimization Solver Development
RESEARCH FIELD
Operations Research and Traffic Optimization
tangyuanhua@sribd.cn
EDUCATION BACKGROUND
South China University of Technology, Master of Management science and Engineering
South China University of Technology, Bachelor of Industrial Engineering
BIOGRAPHY
Tang Yuanhua, received the bachelor's degree and master's degree in management from South China University of Technology in 2020 and 2023 respectively, and joined Shenzhen Research Institute of Big Data as an engineer in 2023. Her research interests include operations research and traffic optimization.
ACADEMIC PUBLICATIONS
Aihu Wang, Yuanhua Tang, Yasir Tariq Mohmand, et al. Modifying link capacity to avoid Braess Paradox considering elastic demand. Physica A: Statistical Mechanics and its Applications, Volume 605, 2022: 127951
POSITION/TITLE
SRIBD Engineer of Optimization Solver Development
RESEARCH FIELD
Operations Research and Traffic Optimization
tangyuanhua@sribd.cn
EDUCATION BACKGROUND
South China University of Technology, Master of Management science and Engineering
South China University of Technology, Bachelor of Industrial Engineering
BIOGRAPHY
Tang Yuanhua, received the bachelor's degree and master's degree in management from South China University of Technology in 2020 and 2023 respectively, and joined Shenzhen Research Institute of Big Data as an engineer in 2023. Her research interests include operations research and traffic optimization.
ACADEMIC PUBLICATIONS
Aihu Wang, Yuanhua Tang, Yasir Tariq Mohmand, et al. Modifying link capacity to avoid Braess Paradox considering elastic demand. Physica A: Statistical Mechanics and its Applications, Volume 605, 2022: 127951
POSITION/TITLE
SRIBD Engineer of Optimization Solver Development
huilin.zang@sribd.cn
POSITION/TITLE
SRIBD Engineer of Optimization Solver Development
huilin.zang@sribd.cn
