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A Minimax Game for Generative and Discriminative Sample Models for Recommendation.

Z. Wang, M. Gao, X. Wang, J. Yu, J. Wen, and Q. Xiong. PAKDD (2), volume 11440 of Lecture Notes in Computer Science, page 420-431. Springer, (2019)

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Junhao Shi

Junhao Xiao

Ming Wen

Wen Peng

Naiyen Wen

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A Minimax Game for Generative and Discriminative Sample Models for Recommendation.Z. Wang, M. Gao, X. Wang, J. Yu, J. Wen, and Q. Xiong. PAKDD (2), volume 11440 of Lecture Notes in Computer Science, page 420-431. Springer, (2019)Modeling multi-attribute and implicit relationship factors with self-supervised learning for recommender systems.L. Hu, J. Wen, H. Zhang, W. Zhou, and H. Wang. Intell. Data Anal., 27 (3): 691-708 (2023)Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning.J. Wen, M. Antoniades, Z. Yang, G. Hwang, I. Skampardoni, R. Wang, and C. Davatzikos. CoRR, (2024)Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.J. Wen, C. Fu, D. Tosun, Y. Veturi, Z. Yang, A. Abdulkadir, E. Mamourian, D. Srinivasan, J. Bao, G. Erus and 15 other author(s). CoRR, (2021)Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease.Z. Yang, I. Nasrallah, H. Shou, J. Wen, J. Doshi, M. Habes, G. Erus, A. Abdulkadir, S. Resnick, D. Wolk and 1 other author(s). CoRR, (2021)Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.Z. Yang, J. Wen, A. Abdulkadir, Y. Cui, G. Erus, E. Mamourian, R. Melhem, D. Srinivasan, S. Govindarajan, J. Chen and 18 other author(s). CoRR, (2023)Federated Deep Reinforcement Learning for Recommendation-Enabled Edge Caching in Mobile Edge-Cloud Computing Networks.C. Sun, X. Li, J. Wen, X. Wang, Z. Han, and V. Leung. IEEE J. Sel. Areas Commun., 41 (3): 690-705 (March 2023)融合矩阵分解与距离度量学习的社会化推荐算法 (Social Recommendation Method Integrating Matrix Factorization and Distance Metric Learning).J. Wen, D. Dai, J. Yu, M. Gao, and Y. Zhang. 计算机科学, 45 (10): 196-201 (2018)Personalized Dynamic Attention Multi-task Learning model for document retrieval and query generation.J. Zeng, Y. Yu, J. Wen, W. Jiang, and L. Cheng. Expert Syst. Appl., 213 (Part): 119026 (2023)An early warning method for abnormal behavior of college students based on multimodal fusion and improved decision tree.Y. Wang, J. Wen, W. Zhou, B. Tao, Q. Wu, C. Fu, and H. Li. J. Intell. Fuzzy Syst., 45 (5): 8405-8427 (November 2023)

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Disambiguation of "Wen, Junhao"

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A Minimax Game for Generative and Discriminative Sample Models for Recommendation.

Please choose a person to relate this publication to

Junhao Shi

Junhao Xiao

Ming Wen

Wen Peng

Naiyen Wen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wen, Junhao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Minimax Game for Generative and Discriminative Sample Models for Recommendation.

Please choose a person to relate this publication to

Junhao Shi

Junhao Xiao

Ming Wen

Wen Peng

Naiyen Wen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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APA
Chicago
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A Minimax Game for Generative and Discriminative Sample Models for Recommendation.