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	SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis 会议论文 LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Marrakesh, Morocco, October 6, 2024 - October 6, 2024 作者: Meng, Runqi; Liu, Zonglin; Sun, Yiqun; Jia, Dengqiang; Teng, Lin 收藏 \| 浏览/下载：321/0 \| 提交时间：2024/11/08 Diagnosis Lung cancer Multi-task learning Oncology Cancer patients MR-images Multi-task model Multitask learning Performance Rectal cancer Rectal cancer analyze Survival analysis Treatment planning Vision-language alignment
	Clustered Federated Multi-Task Learning: A Communication-and-Computation Efficient Sparse Sharing Approach 期刊论文 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2025, 卷号: PP, 期号: 99 作者: Yuhan Ai; Qimei Chen; Guangxu Zhu; Dingzhu Wen; Hao Jiang Adobe PDF(3720Kb) \| 收藏 \| 浏览/下载：73/3 \| 提交时间：2025/03/10 Adversarial machine learning Benchmarking Contrastive Learning Federated learning Multi-task learning Transfer learning Clusterings Communication resources Distributed data Federated multi-task learning Model pruning Multitask learning Performance Personalized model Sparse sharing Sparsity ratios
	Prediction of Multi-Pharmacokinetics Property in Multi-Species: Bayesian Neural Network Stacking Model with Uncertainty 期刊论文 MOLECULAR PHARMACEUTICS, 2024, 卷号: 21, 期号: 12 作者: Zhang, Yuanyuan; Xie, Zhiyin; Xiao, Fu; Yu, Jie; Fan, Zhehuan Adobe PDF(5565Kb) \| 收藏 \| 浏览/下载：171/1 \| 提交时间：2024/11/19 pharmacokinetic parameters machine learning uncertainty stacking multitask learning ADME
	MoME: Mixture-of-Masked-Experts for Efficient Multi-Task Recommendation 会议论文 SIGIR 2024 - PROCEEDINGS OF THE 47TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, Washington, DC, United states, July 14, 2024 - July 18, 2024 作者: Xu, Jiahui; Sun, Lu; Zhao, Dengji Adobe PDF(1222Kb) \| 收藏 \| 浏览/下载：341/3 \| 提交时间：2024/08/23 Coarse-grained modeling Computational efficiency Learning systems Binary masks Learning techniques Mixture of experts Model mixtures Multi tasks Multi-task recommendation Multitask learning Parameter sharing Real-world datasets Subnetworks
	Structured Sparse Multi-Task Learning with Generalized Group Lasso 会议论文 FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, Krakow, Poland, September 30, 2023 - October 4, 2023 作者: Fei, Luhuan; Sun, Lu; Kudo, Mineichi; Kimura, Keigo Adobe PDF(934Kb) \| 收藏 \| 浏览/下载：680/233 \| 提交时间：2023/11/24 Learning systems Machine learning Mathematical operators Optimization Compact model Generalisation Group lassos High-dimensional Learning to learn Multitask learning Optimization algorithms Regularisation Sharing information Structured sparsities
	Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning 会议论文 FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, Krakow, Poland, September 30, 2023 - October 4, 2023 作者: Wang, Xinyi; Sun, Lu; Nguyen, Canh Hao; Mamitsuka, Hiroshi Adobe PDF(783Kb) \| 收藏 \| 浏览/下载：575/201 \| 提交时间：2023/11/24 Factorization Learning systems Machine learning Heterogeneous data Learn+ Learning methods Multi-views Multiple tasks Multiple views Multitask learning Predictive information Sparse tensors Tensor factorization
	Grouped Multi-Task Learning with Hidden Tasks Enhancement 会议论文 FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, Krakow, Poland, September 30, 2023 - October 4, 2023 作者: Adobe PDF(599Kb) \| 收藏 \| 浏览/下载：502/203 \| 提交时间：2023/11/24 Clustering algorithms Learning systems Machine learning Generalization performance Learning methods Multitask learning Parameter learning Parameter spaces Prediction performance Prediction tasks Subspace clustering Unified framework Within clusters
	Communication-Efficient Coded Computing for Distributed Multi-Task Learning 会议论文 IEEE TRANSACTIONS ON COMMUNICATIONS 作者: Hu, Haoyang; Wu, Youlong; Shi, Yuanming; Li, Songze; Jiang, Chunxiao Adobe PDF(8448Kb) \| 收藏 \| 浏览/下载：440/1 \| 提交时间：2023/08/11 Distributed computer systems Job analysis Learning systems Linearization Coding Communication load Computational modelling Distributed database Distributed learning Downlink Encodings Multitask learning Task analysis Uplink
	Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity 期刊论文 IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 2, 页码: 557-567 作者: Liu, Yanbei; Li, Henan; Luo, Tao; Zhang, Changqing; Xiao, Zhitao Adobe PDF(3166Kb) \| 收藏 \| 浏览/下载：462/0 \| 提交时间：2023/03/10 Biological organs Classification (of information) Computerized tomography Diagnosis Forecasting Graph neural networks Iterative methods Learning systems Medical imaging Attention mechanisms Chest CT Conversion time Coronavirus disease 2019 severity Graph neural networks Multi-source informations Multitask learning Non-imaging Structural attention mechanism Work-flows
	Coded Distributed Computing for Hierarchical Multi-task Learning 会议论文 2023 IEEE INFORMATION THEORY WORKSHOP, ITW 2023, Saint-Malo, France, April 23, 2023 - April 28, 2023 作者: Hu, Haoyang; Li, Songze Adobe PDF(1091Kb) \| 收藏 \| 浏览/下载：516/121 \| 提交时间：2023/08/11 Distributed computer systems Learning systems Linearization Central servers Coded computing Communication load Distributed learning Downlink transmissions Learn+ Learning models Multitask learning Single task learning User need

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