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    Article

    Generalization in Deep RL for TSP Problems via Equivariance and Local Search

    Deep reinforcement learning (RL) has proved to be a competitive heuristic for solving small-sized instances of traveling salesman problems (TSP), but its performance on larger-sized instances is insufficient. ...

    Wenbin Ouyang, Yisen Wang, Paul Weng, Shaochen Han in SN Computer Science (2024)

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    Article

    Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning

    Studies relating to the right ventricle (RV) are inadequate, and specific diagnostic algorithms still need to be improved. This essay is designed to make exploration and verification on an algorithm of deep le...

    Zeye Liu, Hang Li, Wenchao Li, Fengwen Zhang… in Interdisciplinary Sciences: Computational … (2023)

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    Article

    Hybrid cost aggregation for dense stereo matching

    Matching cost initialization and aggregation are two major steps in the stereo matching framework. For dense stereo matching, a matching cost needs to be computed at each pixel for all disparities within the s...

    Ming Yao, Wenbin Ouyang, Bugao Xu in Multimedia Tools and Applications (2020)