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I am currently a scientist in Agency for Science, Technology and Research (A*STAR). Prior to this, I earned my PhD degree in Computer Science from Singapore Management University (SMU), and both Master and Bachelor degree in Transportation Engineer from Shanghai Jiao Tong University (SJTU). I was fortunate to be advised Prof. Jiangang Jin in my Master study, who led me to the world of Operations Research, and Prof. Hai Wang in my PhD study. My research interests lie in the intersection of deep learning and operations research, with a current focus on the vehicle routing problems.Email / LinkedIn / Github / Google Scholar |
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| Jan, 2025 | Recent work: Adversarial Generative Flow Network for Solving Vehicle Routing Problems is accepted by ICLR 2025. Paper and code will release soon. |
| Aug, 2024 | Recent work: Learning to Optimize the Dispatch Time Interval for On-Demand Food Delivery Service is accepted by IEEE ITSC 2025. Paper and code will release soon. |
| Aug, 2024 | Recent work: Optimization of customer service and driver dispatch areas for on-demand food delivery is accepted by Transportation Research Part C: Emerging Technologies. |
| Dec, 2023 | I graduated from Singapore Management University. |
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Ni Zhang, Jingfeng Yang, Zhiguang Cao†, Xu Chi, International Conference on Learning Representations (ICLR), 2025 arXiv / code |
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Jingfeng Yang, Hai Wang†, Hoong Chuin Lau, Transportation Research Part C: Emerging Technologies (TR-C), 2024 Journal / code |
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Thank Jon Barron for sharing his website's source code. |