Weiqing Luo

Weiqing Luo

Graduate Student @ Nanjing University

About Me

I am a final-year Master’s student at Nanjing University, where I am fortunate to be advised by Prof. Gong Cheng. I earned my Bachelor’s degree from Nanjing University in 2022. Recently, I completed a research internship at The University of North Carolina at Chapel Hill under the guidance of Prof. Tianlong Chen. Prior to this, I had the opportunity to intern at Tencent as part of the Rhino-Bird Elite Talent Program, which was a highly rewarding experience.

My research focuses on vision-language modeling and data-centric methods. Currently, I am working on enhancing multimodal large language models, specifically tackling challenges in adapting to varied image resolutions. I have previously contributed to projects on recommender systems and dataset retrieval, utilizing knowledge graphs and information retrieval techniques. I am always open to exploring new ideas and research directions.

Selected Publications

  • [arXiv] TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance
    Weiqing Luo, Chonggang Song, Lingling Yi, Gong Cheng
    [paper]
  • [SIGIR’24] ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries
    Qiaosheng Chen, Weiqing Luo, Zixian Huang, Tengteng Lin, Xiaxia Wang, Ahmet Soylu, Basil Ell, Baifan Zhou, Evgeny Kharlamov, Gong Cheng
    [paper] [code] [proceedings] [BibTeX]
  • [Findings of EMNLP’23] An Empirical Investigation of Implicit and Explicit Knowledge-Enhanced Methods for Ad Hoc Dataset Retrieval
    Weiqing Luo, Qiaosheng Chen, Zhiyang Zhang, Zixian Huang, Gong Cheng
    [paper] [code] [proceedings] [BibTeX]

  • [SIGIR’25] Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Graph
    Qiaosheng Chen, Kaijia Huang, Xiao Zhou, Weiqing Luo, Yuanning Cui, Gong Cheng
    [paper] [code] [proceedings] [BibTeX]

  • [ISWC’23 Best Research Paper Nominee] Dense Re-Ranking with Weak Supervision for RDF Dataset Search
    Qiaosheng Chen, Zixian Huang, Zhiyang Zhang, Weiqing Luo, Tengteng Lin, Qing Shi, Gong Cheng
    [paper] [code] [proceedings] [BibTeX]

Experiences

The University of North Carolina at Chapel Hill, UNITES Lab Jun 2024-Nov 2024

Tencent, Wechat Machine Learning Application Group Jul 2023-May 2024

SenseTime, Decision Intelligence Group Jan 2022-Jul 2022

ByteDance, TikTok Recommendation Group Jul 2021-Sep 2021

Services

  • Reviewer: DASFAA 2024