Zhenan Fan (范喆楠)
I am a Senior Research Scientist at Huawei Vancouver Research Center, where I’m actively involved in developing Huawei’s optimization solver, OptVerse(天筹求解器). Prior to this, I completed my PhD at The University of British Columbia under the supervision of Prof. Michael P. Friedlander, focusing on large-scale structured optimization problems in machine learning, data mining and signal processing.
Currently, my role at Huawei extends to contributing to the development of Huawei’s cutting-edge large language model, Pangu(盘古大模型). Concurrently, I am exploring innovative ways to utilize this large language model in operational research processes. A key aspect of my work is studying the integration of OptVerse with Pangu, an initiative that offers a unique intersection of machine learning and operations research, promising new possibilities in the field.
Education
PhD, University of British Columbia, Computer Science (2022)
MS, University of British Columbia, Computer Science (2019)
BSc, University of Toronto, Mathematics (2017)
news
Jan 19, 2024 | We are going to organize a Workshop on Artificial Intelligence for Operations Research (AI4OR) at AAAI 2024! |
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Jan 16, 2024 | One paper is accepted at ICLR 2024. |
Jan 6, 2024 | Our paper Machine Learning Insides OptVerse AI Solver: Design Principles and Applications is available on arXiv. |
Jan 6, 2024 | Our survey paper Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process is available on arXiv. |
Apr 24, 2023 | One paper is accepted at ICML 2023. |
Sep 26, 2022 | Onboard Huawei Vancouver Research Center as a senior researcher! |
Sep 14, 2022 | Successfully defended my PhD Thesis! |