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Hongzhi Yin

Showing results (1-10 of 13) with videos related to

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IEEE Journal of Biomedical and Health Informatics|December 17, 2025
ZhiFangDanTai: Fine-tuning Graph-based Retrieval-Augmented Generation Model for Traditional Chinese Medicine FormulaZixuan Zhang, Bowen Hao, Yingjie Li, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 20, 2019
Few-Shot Deep Adversarial Learning for Video-based Person Re-identificationLin Wu, Yang Wang, Hongzhi Yin, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 19, 2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction ModelingTong Chen, Hongzhi Yin, Xiangliang Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 7, 2022
Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential RecommendationLei Guo, Jinyu Zhang, Li Tang, et al.
Computers in Biology and Medicine|June 3, 2019
MCP: A multi-component learning machine to predict protein secondary structureLeila Khalatbari, M R Kangavari, Saeid Hosseini, et al.
IEEE Journal of Biomedical and Health Informatics|August 5, 2020
Disease Prediction via Graph Neural NetworksZhenchao Sun, Hongzhi Yin, Hongxu Chen, et al.
IEEE Journal of Biomedical and Health Informatics|January 12, 2021
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea DetectionGuanhua Ye, Hongzhi Yin, Tong Chen, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 31, 2025
Scalable and effective negative sample generation for hyperedge predictionShilin Qu, Weiqing Wang, Yuan-Fang Li, et al.
IEEE Journal of Biomedical and Health Informatics|January 5, 2022
Personalized On-Device E-Health Analytics With Decentralized Block Coordinate DescentGuanhua Ye, Hongzhi Yin, Tong Chen, et al.
IEEE Journal of Biomedical and Health Informatics|April 7, 2023
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger DistillationGuanhua Ye, Tong Chen, Yawen Li, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
IEEE Journal of Biomedical and Health Informatics|December 17, 2025
ZhiFangDanTai: Fine-tuning Graph-based Retrieval-Augmented Generation Model for Traditional Chinese Medicine FormulaZixuan Zhang, Bowen Hao, Yingjie Li, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 20, 2019
Few-Shot Deep Adversarial Learning for Video-based Person Re-identificationLin Wu, Yang Wang, Hongzhi Yin, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 19, 2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction ModelingTong Chen, Hongzhi Yin, Xiangliang Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 7, 2022
Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential RecommendationLei Guo, Jinyu Zhang, Li Tang, et al.
Computers in Biology and Medicine|June 3, 2019
MCP: A multi-component learning machine to predict protein secondary structureLeila Khalatbari, M R Kangavari, Saeid Hosseini, et al.
IEEE Journal of Biomedical and Health Informatics|August 5, 2020
Disease Prediction via Graph Neural NetworksZhenchao Sun, Hongzhi Yin, Hongxu Chen, et al.
IEEE Journal of Biomedical and Health Informatics|January 12, 2021
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea DetectionGuanhua Ye, Hongzhi Yin, Tong Chen, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 31, 2025
Scalable and effective negative sample generation for hyperedge predictionShilin Qu, Weiqing Wang, Yuan-Fang Li, et al.
IEEE Journal of Biomedical and Health Informatics|January 5, 2022
Personalized On-Device E-Health Analytics With Decentralized Block Coordinate DescentGuanhua Ye, Hongzhi Yin, Tong Chen, et al.
IEEE Journal of Biomedical and Health Informatics|April 7, 2023
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger DistillationGuanhua Ye, Tong Chen, Yawen Li, et al.
Pageof 2