Yejing Wang

Ph.D. Student in Data Science

---

Affiliations

• Applied Machine Learning Lab (AML)
• School of Data Science, City University of Hong Kong

Contact

• 📧 yejing.wang@my.cityu.edu.hk

---

About Me

I am a second-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

• Large Language Model： Developing low-latency LLM4Rec techniques for real-world applications.
• Recommender Systems: Industrial Deployable Reccommender Systems, Practical problems of Deep Recommender Systems such like fairness.
• Data Mining: Focusing on automated machine learning techniques, multi-task learning, and feature engineering.

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. [WSDM’2024] Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, et al. - “MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems”
2. [TORS, 2023] Bo Chen, Xiangyu Zhao, Yejing Wang, et al. - “A Comprehensive Survey on Automated Machine Learning for Recommendations” - PDF
3. [RecSys’2023] Chengxi Li, Yejing Wang (co-first), Qidong Liu (co-first), et al. - “STRec: Sparse Transformer for Sequential Recommendations”
4. [KDD’2023] Yejing Wang, Shen Ge, Xiangyu Zhao, et al. - “Doctor Specific Tag Recommendation for Online Medical Record Management” - PDF
5. [SIGIR’2023] Yejing Wang, Zhaocheng Du, Xiangyu Zhao, et al. - “Single-shot Feature Selection for Multi-task Recommendations” - PDF
6. [WWW’2023] Weilin Lin, Xiangyu Zhao, Yejing Wang, et al. - “AutoDenoise: Automatic Data Instance Denoising for Recommendations” - PDF
7. [KDD’2022] Weilin Lin, Xiangyu Zhao, Yejing Wang, et al. - “AdaFS: Adaptive Feature Selection in Deep Recommender System” - PDF
8. [WWW’2022] Yejing Wang, Xiangyu Zhao, Tong Xu, et al. - “Automating Feature Selection in Deep Recommender Systems” - PDF

Professional Experience

• 2023.9 - Present: Research Intern at Xiaohongshu
• 2021.10 - 2022.07: Research Intern at Tencent

Academic Service

• 2024: PC Member for AAAI, IJCAI, RecSys
• 2023: Student Volunteer for IJCAI

---