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Learning One-Class Hyperspectral Classifier from Positive and Unlabeled Data for Low Proportion Target


Oct 27, 2022
Hengwei Zhao, Yanfei Zhong, Xin He, Xinyu Wang, Hong Shu


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Fine-Grained Semantically Aligned Vision-Language Pre-Training


Aug 04, 2022
Juncheng Li, Xin He, Longhui Wei, Long Qian, Linchao Zhu, Lingxi Xie, Yueting Zhuang, Qi Tian, Siliang Tang


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Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning


Jun 06, 2022
Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu


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EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs


Nov 30, 2021
Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu


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Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers


Nov 01, 2021
Wei Zhou, Xin He, Wei Zhong, Junhui Wang


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Learning linear non-Gaussian directed acyclic graph with diverging number of nodes


Nov 01, 2021
Ruixuan Zhao, Xin He, Junhui Wang


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Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches


Oct 18, 2021
Shaogao Lv, Xin He, Junhui Wang


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Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation


Oct 08, 2021
Ke Zhang, Sihong Chen, Qi Ju, Yong Jiang, Yucong Li, Xin He


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A Competitive Method to VIPriors Object Detection Challenge


Apr 19, 2021
Fei Shen, Xin He, Mengwan Wei, Yi Xie


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Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans


Feb 12, 2021
Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding

* Accepted by AAAI 2021, COVID-19, Neural Architecture Search, AutoML 

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