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Yinwei Wei
Shandong University
ConvolutionOverfittingComputer scienceModalDiscriminative model
3Publications
1H-index
1Citations
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Publications 4
Newest
#1Zhulin Tao (CUC: Communication University of China)
#2Yinwei WeiH-Index: 1
Last. Tat-Seng Chua (NUS: National University of Singapore)H-Index: 65
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Abstract Graph neural networks (GNNs) have shown great potential for personalized recommendation. At the core is to reorganize interaction data as a user-item bipartite graph and exploit high-order connectivity among user and item nodes to enrich their representations. While achieving great success, most existing works consider interaction graph based only on ID information, foregoing item contents from multiple modalities (e.g., visual, acoustic, and textual features of micro-video items). Dist...
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#1Yinwei Wei (SDU: Shandong University)H-Index: 1
#2Xiang Wang (NUS: National University of Singapore)H-Index: 61
Last. Baoquan Chen (SDU: Shandong University)H-Index: 34
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The prevailing characteristics of micro-videos result in the less descriptive power of each modality. The micro-video representations, several pioneer efforts proposed, are limited in implicitly exploring the consistency between different modality information but ignore the complementarity. In this paper, we focus on how to explicitly separate the consistent features and the complementary features from the mixed information and harness their combination to improve the expressiveness of each moda...
1 CitationsSource
Oct 15, 2019 in MM (ACM Multimedia)
#1Yinwei Wei (SDU: Shandong University)H-Index: 1
#2Zhiyong Cheng (Qilu University of Technology)H-Index: 3
Last. Liqiang Nie (SDU: Shandong University)H-Index: 34
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Personalized hashtag recommendation methods aim to suggest users hashtags to annotate, categorize, and describe their posts. The hashtags, that a user provides to a post (e.g., a micro-video), are the ones which in her mind can well describe the post content where she is interested in. It means that we should consider both users' preferences on the post contents and their personal understanding on the hashtags. Most existing methods rely on modeling either the interactions between hashtags and p...
7 CitationsSource
Oct 15, 2019 in MM (ACM Multimedia)
#1Yinwei Wei (SDU: Shandong University)H-Index: 1
#2Xiang Wang (NUS: National University of Singapore)H-Index: 61
Last. Tat-Seng Chua (NUS: National University of Singapore)H-Index: 65
view all 6 authors...
Personalized recommendation plays a central role in many online content sharing platforms. To provide quality micro-video recommendation service, it is of crucial importance to consider the interactions between users and items (i.e. micro-videos) as well as the item contents from various modalities (e.g. visual, acoustic, and textual). Existing works on multimedia recommendation largely exploit multi-modal contents to enrich item representations, while less effort is made to leverage information...
3 CitationsSource
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