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Yize Jiang

Showing results (1-10 of 11) with videos related to

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Biochemical and Biophysical Research Communications|April 27, 2025
Structure-based artificial intelligence-aided design of MYC-targeting degradation drugs for cancer therapyDonghua Liu, Yize Jiang, Bohan Ma, et al.
Environment International|September 13, 2020
New interpretable deep learning model to monitor real-time PM<sub>2.5</sub> concentrations from satellite dataXing Yan, Zhou Zang, Nana Luo, et al.
Journal of Biomechanics|February 1, 2025
Bone mineral density surrounding the screw thread predicts the risk of pedicle screw looseningYize Jiang, Yi Wei, Yuxuan Liu, et al.
Environmental Pollution (Barking, Essex : 1987)|March 23, 2024
Unveiling global land fine- and coarse-mode aerosol dynamics from 2005 to 2020 using enhanced satellite-based monthly inversion dataNana Luo, Yue Zhang, Yize Jiang, et al.
Journal of Environmental Management|December 27, 2023
Combining physical mechanisms and deep learning models for hourly surface ozone retrieval in ChinaXing Yan, Yushan Guo, Yue Zhang, et al.
Environmental Pollution (Barking, Essex : 1987)|January 19, 2021
A Spatial-Temporal Interpretable Deep Learning Model for improving interpretability and predictive accuracy of satellite-based PM<sub>2.5</sub>Xing Yan, Zhou Zang, Yize Jiang, et al.
Environmental Pollution (Barking, Essex : 1987)|March 26, 2023
Cooperative simultaneous inversion of satellite-based real-time PM<sub>2.5</sub> and ozone levels using an improved deep learning model with attention mechanismXing Yan, Chen Zuo, Zhanqing Li, et al.
Journal of Chemical Information and Modeling|February 24, 2022
Structure-Aware Multimodal Deep Learning for Drug-Protein Interaction PredictionPenglei Wang, Shuangjia Zheng, Yize Jiang, et al.
Environmental Science & Technology|August 3, 2024
Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol RetrievalXing Yan, Zhou Zang, Zhanqing Li, et al.
Environmental Science & Technology|August 20, 2024
Substantial Underestimation of Fine-Mode Aerosol Loading from Wildfires and Its Radiative Effects in Current Satellite-Based Retrievals over the United StatesXing Yan, Chen Zuo, Zhanqing Li, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Biochemical and Biophysical Research Communications|April 27, 2025
Structure-based artificial intelligence-aided design of MYC-targeting degradation drugs for cancer therapyDonghua Liu, Yize Jiang, Bohan Ma, et al.
Environment International|September 13, 2020
New interpretable deep learning model to monitor real-time PM<sub>2.5</sub> concentrations from satellite dataXing Yan, Zhou Zang, Nana Luo, et al.
Journal of Biomechanics|February 1, 2025
Bone mineral density surrounding the screw thread predicts the risk of pedicle screw looseningYize Jiang, Yi Wei, Yuxuan Liu, et al.
Environmental Pollution (Barking, Essex : 1987)|March 23, 2024
Unveiling global land fine- and coarse-mode aerosol dynamics from 2005 to 2020 using enhanced satellite-based monthly inversion dataNana Luo, Yue Zhang, Yize Jiang, et al.
Journal of Environmental Management|December 27, 2023
Combining physical mechanisms and deep learning models for hourly surface ozone retrieval in ChinaXing Yan, Yushan Guo, Yue Zhang, et al.
Environmental Pollution (Barking, Essex : 1987)|January 19, 2021
A Spatial-Temporal Interpretable Deep Learning Model for improving interpretability and predictive accuracy of satellite-based PM<sub>2.5</sub>Xing Yan, Zhou Zang, Yize Jiang, et al.
Environmental Pollution (Barking, Essex : 1987)|March 26, 2023
Cooperative simultaneous inversion of satellite-based real-time PM<sub>2.5</sub> and ozone levels using an improved deep learning model with attention mechanismXing Yan, Chen Zuo, Zhanqing Li, et al.
Journal of Chemical Information and Modeling|February 24, 2022
Structure-Aware Multimodal Deep Learning for Drug-Protein Interaction PredictionPenglei Wang, Shuangjia Zheng, Yize Jiang, et al.
Environmental Science & Technology|August 3, 2024
Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol RetrievalXing Yan, Zhou Zang, Zhanqing Li, et al.
Environmental Science & Technology|August 20, 2024
Substantial Underestimation of Fine-Mode Aerosol Loading from Wildfires and Its Radiative Effects in Current Satellite-Based Retrievals over the United StatesXing Yan, Chen Zuo, Zhanqing Li, et al.
Pageof 2