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Yejing Wang

Ph.D. Student in Data Science

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About Me

I am a third-year Ph.D. student at the School of Data Science, City University of Hong Kong, supervised by Prof. Xiangyu Zhao in the AML Lab. My academic journey began with a B.S. in Statistics from the School of Gifted Young, University of Science and Technology of China in 2022, under the guidance of Prof. Tong Xu.

Research Interests

Publications

Tutorials & Workshop Proposals

  1. [WSDM’2023] Ruiming Tang, Bo Chen, Yejing Wang, et al. - “AutoML for Deep Recommender Systems: Fundamentals and Advances”
  2. [WWW’2022] Xiangyu Zhao, Wenqi Fan, Yejing Wang, et al. - “Automated Machine Learning for Recommendations: Fundamentals and Advances” - Workshop Website

Conference and Journal Papers

  1. [NeurIPS’2024, Spotlight] Qidong Liu, Xian Wu, Xiangyu Zhao, Yejing Wang, et al. - “LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation” - PDF Code
  2. [ICDM’2024] Yejing Wang, Dong Xu, Xiangyu Zhao, et al. - “GPRec: Bi-level User Modeling for Deep Recommender Systems” - Code
  3. [KDD’2024] Pengyue Jia, Yejing Wang (Co-first), Zhaocheng Du (Co-first), Xiangyu Zhao, et al. - “ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems” - PDF Code
  4. [SIGIR’2024] Xinhang Li, Xiangyu Zhao, Yejing Wang, et al. - “OpenSiteRec: An Open Dataset for Site Recommendation” - PDF Homepage
  5. [WSDM’2024] Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, et al. - “MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems” - PDF
  6. [TORS, 2024] Bo Chen, Xiangyu Zhao, Yejing Wang, et al. - “A Comprehensive Survey on Automated Machine Learning for Recommendations” - PDF
  7. [RecSys’2023] Chengxi Li, Yejing Wang (Co-first), Qidong Liu (Co-first), et al. - “STRec: Sparse Transformer for Sequential Recommendations” - PDF
  8. [KDD’2023] Yejing Wang, Shen Ge, Xiangyu Zhao, et al. - “Doctor Specific Tag Recommendation for Online Medical Record Management” - PDF
  9. [SIGIR’2023] Yejing Wang, Zhaocheng Du, Xiangyu Zhao, et al. - “Single-shot Feature Selection for Multi-task Recommendations” - PDF
  10. [WWW’2023] Weilin Lin, Xiangyu Zhao, Yejing Wang, et al. - “AutoDenoise: Automatic Data Instance Denoising for Recommendations” - PDF Code
  11. [KDD’2022] Weilin Lin, Xiangyu Zhao, Yejing Wang, et al. - “AdaFS: Adaptive Feature Selection in Deep Recommender System” - PDF Code
  12. [WWW’2022] Yejing Wang, Xiangyu Zhao, Tong Xu, et al. - “Automating Feature Selection in Deep Recommender Systems” - PDF Code

Professional Experience

Academic Service

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