Search Results for author: Shangde Gao

Found 4 papers, 0 papers with code

Unified Matrix Factorization with Dynamic Multi-view Clustering

no code implementations9 Aug 2023 Shangde Gao, Ke Liu, Yichao Fu

In typical recommendation scenarios, the user-item interaction paradigm is usually a two-stage process and requires static clustering analysis of the obtained user and item representations.

Clustering Collaborative Filtering +1

Contrastive Knowledge Amalgamation for Unsupervised Image Classification

no code implementations27 Jul 2023 Shangde Gao, Yichao Fu, Ke Liu, Yuqiang Han

Current methods focus on coarsely aligning teachers and students in the common representation space, making it difficult for the student to learn the proper decision boundaries from a set of heterogeneous teachers.

Classification Unsupervised Image Classification

Interest-oriented Universal User Representation via Contrastive Learning

no code implementations18 Sep 2021 Qinghui Sun, Jie Gu, Bei Yang, Xiaoxiao Xu, Renjun Xu, Shangde Gao, Hong Liu, Huan Xu

Universal user representation has received many interests recently, with which we can be free from the cumbersome work of training a specific model for each downstream application.

Contrastive Learning Representation Learning +1

Can Predominant Credible Information Suppress Misinformation in Crises? Empirical Studies of Tweets Related to Prevention Measures during COVID-19

no code implementations1 Feb 2021 Yan Wang, Shangde Gao, Wenyu Gao

Therefore, this research investigates the temporal correlations between credible information and misinformation, and whether predominant credible information can suppress misinformation for two prevention measures (i. e. topics), i. e. wearing masks and social distancing using tweets collected from February 15 to June 30, 2020.

Management Misinformation +2

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