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- Zhaoxuan YangSuggested from co-authorship
- Jintao LiSuggested from co-authorship
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Works364 from public data
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- Focus Your Attention213
A novel Bidirectional Focal Attention Network (BFAN) is presented, which not only allows to attend to relevant fragments but also diverts all the attention into these relevant fragments to concentrate on them, which enables to avoid preference to long text or complex image.
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- Disentangled Multimodal Representation Learning for Recommendation108
This paper proposes a novel Disentangled Multimodal Representation Learning (DMRL) recommendation model, which can capture users' attention to different modalities on each factor in user preference modeling, and employs a disentangled representation technique to ensure the features of different factors in each modality are independent of each other.
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- Scene graph captioner: Image captioning based on structural visual representation97
This work proposes a novel framework to embed a scene graph into the structural representation, which captures the semantic concepts and the graph topology and develops the scene-graph-driven method to generate the attention graph.
- Behavior pattern clustering in blockchain networks96
This paper introduces the problem of behavior pattern clustering in blockchain networks and proposes a novel algorithm termed BPC for this problem, evaluating a long list of potential sequence similarity measures, and selecting a distance that is suitable for the behaviorpattern clustering problem.
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- Coupled hidden conditional random fields for RGB-D human action recognition88
The extensive experiments show that the proposed model can boost the performance of human action recognition by taking advance of complementary characteristics from both RGB and depth modalities.
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- CAT-DM: Controllable Accelerated Virtual Try-On with Diffusion Model82
A basic diffusion-based virtual try-on network is designed, which utilizes ControlNet to introduce additional control conditions and improves the feature extraction of garment images and demonstrates the superiority of CAT-DM against both GAN-based and diffusion-based methods in producing more real-istic images and accurately reproduced garment patterns.
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- Graph-based characteristic view set extraction and matching for 3D model retrieval70
A novel method for characteristic view extraction and similarity measurement is proposed using the graph clustering method for view grouping and the random-walk algorithm is applied to adaptively update the weight of each view.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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