Xiang Yuan

ORCID: 0009-0003-4377-8031
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About
Contact & Profiles
Research Areas
  • IoT and Edge/Fog Computing
  • Robotics and Sensor-Based Localization
  • Augmented Reality Applications
  • Technology Adoption and User Behaviour
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Impact of Technology on Adolescents
  • Green IT and Sustainability
  • Advanced Image and Video Retrieval Techniques

Peking University
2024

University of California System
2023

Image-text retrieval, a fundamental cross-modal task, performs similarity reasoning for images and texts. The primary challenge image-text retrieval is semantic heterogeneity, where the features of visual textual modalities are rich but distinct. Scene graph an effective representation texts as it explicitly models objects their relations. Existing scene based methods have not fully taken regarding various granularities implicit in into consideration (e.g., triplets), inadequate feature...

10.1145/3664816 article EN ACM Transactions on Multimedia Computing Communications and Applications 2024-08-16

The complexity of cross-device interaction brings challenges to the design user experience. Related research has investigated elements scenarios and principles different scenarios. To explore consistency experience for a single in multiple temporal scenarios, this study first defined concept composite that include interactions with asynchronous synchronous operations. Then, based on principle consistency, three interface distribution strategies under mirroring, split view, interaction, were...

10.54941/ahfe1003443 article EN AHFE international 2023-01-01
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