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Jin Yu

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RGB-T Tracking Based on Mixed Attention

Apr 18, 2023
Yang Luo, Xiqing Guo, Mingtao Dong, Jin Yu

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Automatic Detection of Reactions to Music via Earable Sensing

Apr 06, 2023
Euihyoek Lee, Chulhong Min, Jeaseung Lee, Jin Yu, Seungwoo Kang

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HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints

Jul 16, 2022
Wei Wu, Junlin He, Yu Qiao, Guoheng Fu, Li Liu, Jin Yu

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Vocalsound: A Dataset for Improving Human Vocal Sounds Recognition

May 06, 2022
Yuan Gong, Jin Yu, James Glass

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Cross-domain User Preference Learning for Cold-start Recommendation

Dec 07, 2021
Huiling Zhou, Jie Liu, Zhikang Li, Jin Yu, Hongxia Yang

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Stable Prediction on Graphs with Agnostic Distribution Shift

Oct 08, 2021
Shengyu Zhang, Kun Kuang, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu

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Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries

May 16, 2021
Sahar Kazemzadeh, Jin Yu, Shahar Jamshy, Rory Pilgrim, Zaid Nabulsi, Christina Chen, Neeral Beladia, Charles Lau, Scott Mayer McKinney, Thad Hughes, Atilla Kiraly, Sreenivasa Raju Kalidindi, Monde Muyoyeta, Jameson Malemela, Ting Shih, Greg S. Corrado, Lily Peng, Katherine Chou, Po-Hsuan Cameron Chen, Yun Liu, Krish Eswaran, Daniel Tse, Shravya Shetty, Shruthi Prabhakara

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M6: A Chinese Multimodal Pretrainer

Mar 02, 2021
Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang

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Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases

Oct 22, 2020
Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy, Charles Lau, Eddie Santos, Atilla P. Kiraly, Wenxing Ye, Jie Yang, Sahar Kazemzadeh, Jin Yu, Raju Kalidindi, Mozziyar Etemadi, Florencia Garcia Vicente, David Melnick, Greg S. Corrado, Lily Peng, Krish Eswaran, Daniel Tse, Neeral Beladia, Yun Liu, Po-Hsuan Cameron Chen, Shravya Shetty

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