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Jimmy Xiangji Huang

Biographic Data

ID6536405
NAMEJimmy Xiangji Huang
GIVEN NAMESJimmy Xiangji
FAMILY NAMEHuang
SIGNATUREHUANG J X
AFFILIATIONSInformation Retrieval and Knowledge Management Research Lab, York University. [email protected]
ORCID0000-0003-1292-1491
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Influence of parental resilience on non-suicidal self-injury in adolescent cancer patients

    Open Access•Jimmy Xiangji Huang, Huiyun Li et al.•ARTICLE•Frontiers in Psychiatry•2025

    A short-term, DBT-based parental resilience training program may improve caregiver resilience, reduce adolescent anxiety and depression, and lower short-term NSSI recurrence in adolescents with cancer. However, the lack of a control group and short follow-up limit the generalizability of findings. Further controlled studies with larger samples and longer follow-up are warranted

  • Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization

    Open Access•Md Tahmid Rahman Laskar, Enamul Hoque et al.•ARTICLE•Computational Linguistics•2022•References: 1

    The Query-Focused Text Summarization (QFTS) task aims at building systems that generate the summary of the text document(s) based on the given query. A key challenge in addressing this task is the lack of large labeled data for training the summarization model. In this article, we address this challenge by exploring a series of domain adaptation techniques. Given the recent success of pre-trained transformer models in a wide range of natural lang…

No prominent works on this page.

  • Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization

    Open Access•Md Tahmid Rahman Laskar, Enamul Hoque et al.•ARTICLE•Computational Linguistics•2022•References: 1

    The Query-Focused Text Summarization (QFTS) task aims at building systems that generate the summary of the text document(s) based on the given query. A key challenge in addressing this task is the lack of large labeled data for training the summarization model. In this article, we address this challenge by exploring a series of domain adaptation techniques. Given the recent success of pre-trained transformer models in a wide range of natural lang…

  • Influence of parental resilience on non-suicidal self-injury in adolescent cancer patients

    Open Access•Jimmy Xiangji Huang, Huiyun Li et al.•ARTICLE•Frontiers in Psychiatry•2025

    A short-term, DBT-based parental resilience training program may improve caregiver resilience, reduce adolescent anxiety and depression, and lower short-term NSSI recurrence in adolescents with cancer. However, the lack of a control group and short follow-up limit the generalizability of findings. Further controlled studies with larger samples and longer follow-up are warranted

Adaptation (eye (1 work) · Advanced Text Analysis Techniques (1 work) · Anxiety (1 work) · Artificial Intelligence (1 work) · Automatic summarization (1 work) · Cancer (1 work) · Childhood Cancer Survivors' Quality of Life (1 work) · Computer Science (1 work) · Domain adaptation (1 work) · Generalizability theory (1 work)

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