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Yu Zhong

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Point cloud-based registration and image fusion between cardiac SPECT MPI and CTA

Feb 10, 2024
Shaojie Tang, Penpen Miao, Xingyu Gao, Yu Zhong, Dantong Zhu, Haixing Wen, Zhihui Xu, Qiuyue Wei, Hongping Yao, Xin Huang, Rui Gao, Chen Zhao, Weihua Zhou

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Feature-based Transferable Disruption Prediction for future tokamaks using domain adaptation

Sep 11, 2023
Chengshuo Shen, Wei Zheng, Bihao Guo, Dalong Chen, Xinkun Ai, Fengming Xue, Yu Zhong, Nengchao Wang, Biao Shen, Binjia Xiao, Yonghua Ding, Zhongyong Chen, Yuan Pan, J-TEXT team

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Disruption Precursor Onset Time Study Based on Semi-supervised Anomaly Detection

Mar 27, 2023
Xinkun Ai, Wei Zheng, Ming Zhang, Dalong Chen, Chengshuo Shen, Bihao Guo, Bingjia Xiao, Yu Zhong, Nengchao Wang, Zhoujun Yang, Zhipeng Chen, Zhongyong Chen, Yonghua Ding, Yuan Pan, J-TEXT team

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Multi-Scaling Differential Contraction Integral Method for Inverse Scattering Problems with Inhomogeneous Media

Nov 28, 2022
Yu Zhong, Francesco Zardi, Marco Salucci, Giacomo Oliveri, Andrea Massa

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IDP-PGFE: An Interpretable Disruption Predictor based on Physics-Guided Feature Extraction

Aug 28, 2022
Chengshuo Shen, Wei Zheng, Yonghua Ding, Xinkun Ai, Fengming Xue, Yu Zhong, Nengchao Wang, Li Gao, Zhipeng Chen, Zhoujun Yang, Zhongyong Chen, Yuan Pan, J-TEXT team

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Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition

Mar 03, 2021
Jiebin Yan, Yu Zhong, Yuming Fang, Zhangyang Wang, Kede Ma

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Social Biases in NLP Models as Barriers for Persons with Disabilities

May 02, 2020
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl

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Noisier2Noise: Learning to Denoise from Unpaired Noisy Data

Oct 25, 2019
Nick Moran, Dan Schmidt, Yu Zhong, Patrick Coady

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Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network

Feb 05, 2019
Ruihuan Du, Yu Zhong, Harikesh Nair, Bo Cui, Ruyang Shou

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Enlightening Deep Neural Networks with Knowledge of Confounding Factors

Jul 08, 2016
Yu Zhong, Gil Ettinger

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