Learning Optimal Classification Trees Using a Binary Linear Program Formulation
2019 · Proceedings of the AAAI Conference on Artificial Intelligence · 130 citations
https://doi.org/10.1609/aaai.v33i01.33011624
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Yingqian Zhang
University of Electronic Science and Technology of China(CN)
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Yingqian Zhang is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Auction Theory and Applications & Consumer Market Behavior and Pricing & Vehicle Routing Optimization Methods. The author has an h-index of 26, co-authored 222 publications.
ORCID: 0000-0002-5073-0787Papers by this author
worksDeep Learning for Virtual Histological Staining of Bright-Field Microscopic Images of Unlabeled Carotid Artery Tissue
2020 · Molecular Imaging and Biology · 70 citations
https://doi.org/10.1007/s11307-020-01508-6
Graph neural networks for job shop scheduling problems: A survey
2024 · Computers & Operations Research · 23 citations
https://doi.org/10.1016/j.cor.2024.106914
Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts
2020 · 12 citations
https://doi.org/10.1109/ssci47803.2020.9308584
The combination of tumor mutational burden and T‐cell receptor repertoire predicts the response to immunotherapy in patients with advanced non–small cell lung cancer
2024 · MedComm · 10 citations
https://doi.org/10.1002/mco2.604
Railcar itinerary optimization in railway marshalling yards: A graph neural network based deep reinforcement learning method
2024 · Transportation Research Part C Emerging Technologies · 7 citations
https://doi.org/10.1016/j.trc.2024.104970
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