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Yejing Wang

Ph.D. Student in Data Science

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About Me

I am a final-year Ph.D. student at the Department of Data Science, City University of Hong Kong, supervised by Prof. Xiangyu Zhao in the AML Lab. I will join Alibaba in 2026. 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. [KDD’2025] Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian, Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  2. [WWW’2025] Pengyue Jia, Jingtong Gao, Yejing Wang, Yuhao Wang, Xiaopeng Li, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang, Joint Modeling in Deep Recommender Systems, The Web Conference 2025
  3. [WSDM’2023] Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao, AutoML for Deep Recommender Systems: Fundamentals and Advances, 16th ACM International Conference on Web Search and Data Mining
  4. [WWW’2022] Xiangyu Zhao, Wenqi Fan, Huifeng Guo, Bo Chen, Yejing Wang, Ruiming Tang, Automated Machine Learning for Recommendations: Fundamentals and Advances, The Web Conference 2022

Conference Papers (First/Co-First Authors)

  1. [WWW’2026] Yejing Wang, Shengyu Zhou, Jinyu Lu, Ziwei Liu, Langming Liu, Maolin Wang, Wenlin Zhang, Feng Li, Wenbo Su, Pengjie Wang, Jian Xu, Xiangyu Zhao, NEZHA: A Zero-sacrifice and Hyperspeed Parallel Decoding Architecture for Generative Recommendations, The Web Conference 2026
  2. [WWW’2025] Yejing Wang, Chi Zhang, Xiangyu Zhao, QidongLiu, Maolin Wang, Xuetao Wei, Zitao Liu, Xing Shi, Yang Xudong, Ling Zhong, Wei Lin, Behavior Modeling Space Reconstruction for E-Commerce Search, The Web Conference 2025
  3. [ICDM’2024] Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu, GPRec: Bi-level User Modeling for Deep Recommender Systems, 24th International Conference on Data Mining
  4. [KDD’2024] Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang, ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  5. [RecSys’2023] Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li, STRec: Sparse Transformer for Sequential Recommendations, 17th ACM Recommender Systems Conference
  6. [KDD’2023] Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng, Doctor Specific Tag Recommendation for Online Medical Record Management, 29th ACM SIGKDD Conference on Knowledge Discovery and Data
  7. [SIGIR’2023] Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Single-shot Feature Selection Framework for Multi-task Deep Recommender Systems, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
  8. [WWW’2022] Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu, Automating Feature Selection in Deep Recommender Systems, The Web Conference 2022

Full paper list is available at Google Scholar

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