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Fewer is More: Efficient Object Detection in Large Aerial Images


Dec 26, 2022
Xingxing Xie, Gong Cheng, Qingyang Li, Shicheng Miao, Ke Li, Junwei Han

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Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning


Nov 06, 2022
Yanqiu Wu, Qingyang Li, Zhiwei Qin

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Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation


Apr 06, 2020
Mengyue Yang, Qingyang Li, Zhiwei Qin, Jieping Ye

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* Accepted for publication at WWW (The Web Conference) 2020 

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Weak Edge Identification Nets for Ocean Front Detection


Sep 17, 2019
Qingyang Li, Guoqiang Zhong, Cui Xie

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Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation


Jul 12, 2019
Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei Qin, Yiping Meng, Jieping Ye

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* Appears in KDD 2019 

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Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression


Apr 27, 2017
Qingyang Li, Dajiang Zhu, Jie Zhang, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang

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Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions


Aug 19, 2016
Qingyang Li, Tao Yang, Liang Zhan, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang

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* Published on the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 2016 

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Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation


Dec 09, 2014
Binbin Lin, Qingyang Li, Qian Sun, Ming-Jun Lai, Ian Davidson, Wei Fan, Jieping Ye

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