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Nanyang Ye
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BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture


Sep 30, 2022
Nanyang Ye, Jingbiao Mei, Zhicheng Fang, Yuwen Zhang, Ziqing Zhang, Huaying Wu, Xiaoyao Liang

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Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms


Jun 12, 2022
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He

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NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization


Sep 05, 2021
Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S. -H. Gary Chan, Zhenguo Li

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* Accepted by ICCV2021 
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DeepIC: Coding for Interference Channels via Deep Learning


Aug 13, 2021
Karl Chahine, Nanyang Ye, Hyeji Kim

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OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms


Jun 07, 2021
Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li

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VeniBot: Towards Autonomous Venipuncture with Automatic Puncture Area and Angle Regression from NIR Images


May 27, 2021
Xu Cao, Zijie Chen, Bolin Lai, Yuxuan Wang, Yu Chen, Zhengqing Cao, Zhilin Yang, Nanyang Ye, Junbo Zhao, Xiao-Yun Zhou, Peng Qi

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VeniBot: Towards Autonomous Venipuncture with Semi-supervised Vein Segmentation from Ultrasound Images


May 27, 2021
Yu Chen, Yuxuan Wang, Bolin Lai, Zijie Chen, Xu Cao, Nanyang Ye, Zhongyuan Ren, Junbo Zhao, Xiao-Yun Zhou, Peng Qi

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DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation


Dec 17, 2020
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S. -H. Gary Chan, Zhenguo Li

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* Accepted by AAAI2021 
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Amata: An Annealing Mechanism for Adversarial Training Acceleration


Dec 15, 2020
Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu

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* accepted by AAAI 
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Batch Group Normalization


Dec 09, 2020
Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye, Xu Lan, Qijun Luo, Bo-Lin Lai, Pedro Esperanca, Guang-Zhong Yang, Zhenguo Li

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* 8 pages 
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