• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Xiao Ling  肖 玲

ORCIDConnect your ORCID iD *help
… Alternative Names

肖 玲  ショオ リン

Less
Researcher Number 40946787
Other IDs
Affiliation (Current) 2026: 北海道大学, 情報科学研究院, 准教授
Affiliation (based on the past Project Information) *help 2024: 東京大学, 大学院情報理工学系研究科, 特任助教
Review Section/Research Field
Principal Investigator
Basic Section 61010:Perceptual information processing-related
Keywords
Principal Investigator
Prompt Engineering / Represnetation Learning / Scalable Networks / Multimodal processing / Fine-grained retrieval / Multimodal LLM
  • Research Projects

    (1 results)
  • Research Products

    (13 results)
  •  Efficient and accurate scaling Graph Neural Networks for giant graphsPrincipal Investigator

    • Principal Investigator
      肖 玲
    • Project Period (FY)
      2024 – 2025
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 61010:Perceptual information processing-related
    • Research Institution
      The University of Tokyo

All 2025 2024

All Journal Article Presentation

  • [Journal Article] GeoDCL: Weak Geometrical Distortion based Contrastive Learning for Fine-grained Fashion Image Retrieval2025

    • Author(s)
      Xiao Ling、Yamasaki Toshihiko
    • Journal Title

      IEEE Transactions on Artificial Intelligence

      Volume: 1 Issue: 9 Pages: 1-13

    • DOI

      10.1109/tai.2025.3545791

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24K20787
  • [Journal Article] Multi-level knowledge distillation for fine-grained fashion image retrieval2025

    • Author(s)
      Xiao Ling、Yamasaki Toshihiko
    • Journal Title

      Knowledge-Based Systems

      Volume: 310 Pages: 112955-112955

    • DOI

      10.1016/j.knosys.2025.112955

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-24K20787
  • [Journal Article] Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval2024

    • Author(s)
      Xiao Ling、Yamasaki Toshihiko
    • Journal Title

      IEEE Access

      Volume: 12 Pages: 48068-48080

    • DOI

      10.1109/access.2024.3383785

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-24K20787
  • [Presentation] TourMLLM: A Retrieval-Augmented Multimodal Large Language Model for Multitask Learning in the Tourism Domain2025

    • Author(s)
      Yamanishi Hiromasa、Xiao Ling、Yamasaki Toshihiko
    • Organizer
      The 15th ACM International Conference on Multimedia Retrieval (ICMR 2025)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K20787
  • [Presentation] Large multomodal model based recommnedation systems2024

    • Author(s)
      Xiao Ling
    • Organizer
      The 4th Computational Imaging Conference (CITA 2024)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K20787
  • [Presentation] Adversarially robust continual learning with anti-forgetting loss2024

    • Author(s)
      Mukai Koki、Kumano Soichiro、Michel Nicolas、Xiao Ling、Yamasaki Toshihiko
    • Organizer
      IEEE International Conference on Image Processing (ICIP 2024)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K20787
  • [Presentation] Boosting Fine-grained Fashion Retrieval with Relational Knowledge Distillation2024

    • Author(s)
      Xiao Ling、Yamasaki Toshihiko
    • Organizer
      The 7th Workshop on Computer Vision for Fashion, Art, and Design, IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPRWS 2024)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K20787
  • [Presentation] Rethinking Momentum Knowledge Distillation in Online Continual Learning2024

    • Author(s)
      Michel Nicolas、Wang Maorong、Xiao Ling、Yamasaki Toshihiko
    • Organizer
      The 41st International Conference on Machine Learning (ICML 2024)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K20787
  • [Presentation] Improving Plasticity in Online Continual Learning via Collaborative Learning2024

    • Author(s)
      Wang Maorong、Michel Nicolas、Xiao Ling、Yamasaki Toshihiko
    • Organizer
      The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2024)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K20787
  • [Presentation] Revolutionizing AI Applications: Innovative Approaches with Multimodal Large Language Models2024

    • Author(s)
      Xiao Ling
    • Organizer
      The 7th International Conference on Image, Video and Signal Processing (IVSP 2024)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K20787
  • [Presentation] A Multimodal Dataset and Benchmark for Tourism Review Generation2024

    • Author(s)
      Yamanishi Hiromasa、Xiao Ling、Yamasaki Toshihiko
    • Organizer
      ACM RecSys Workshop on Recommenders in Tourism (Rectour 2024)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K20787
  • [Presentation] LLaVA-Tour: A Large-Scale Multimodal Model Specializing in Japanese Tourist Spot Prediction and Review Generation2024

    • Author(s)
      Yamanishi Hiromasa、Xiao Ling、Yamasaki Toshihiko
    • Organizer
      IEEE International Conference on Visual Communications and Image Processing (VCIP 2024)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K20787
  • [Presentation] SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning2024

    • Author(s)
      Wang Zerun、Liuyu Xiang、Huang Lang、Mao Jiafeng、Xiao Ling、Yamasaki Toshihiko
    • Organizer
      European Conference on Computer Vision (ECCV 2024)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K20787

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi