Hi, my name is Yuhao Wang. I am a second-year PhD candidate at School of Data Science at City University of Hong Kong, China. It’s my honor to be supervised by Prof. Xiangyu Zhao and work with fellows in Applied Machine Learning Lab.

Research

I have a broad interest in data science and artificial intelligence. My current research mainly focuses on Recommender System, especially multi-scenario modeling.

Award

08/2023: I am offered the Research Tuition Scholarship from CityU.

06/2023: I am offered a IJCAI 2023 Travel Grant.

05/2023: I am offered a SIGIR 2023 Student Travel Grant.

News

04/2024: I work as a reviewer of ACM MM 2024.

04/2024: I work as a reviewer of TKDD (Transactions on Knowledge Discovery from Data).

02/2024: I work as a reviewer of KDD 2024.

10/2023: Our work Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation is accepted to WSDM 2024.

09/2023: I work as a PC member of MLoG in ICDM 2023.

08/2023: We hold a tutorial: Joint Modeling in Recommendations: Foundations and Frontiers in IJCAI 2023 in Macau.

06/2023: I work as a reviewer of NIPS 2023.

04/2023: I work as a reviewer of RecSys 2023.

04/2023: Our work PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations is accepted to SIGIR 2023 full paper track.

04/2023: Our work AutoDPQ: Automated Differentiable Product Quantization Embedding Compression Framework is accepted to SIGIR 2023 short paper track.

03/2023: I work as a reviewer of KDD 2023.

02/2023: Our new survey Multi-Task Deep Recommender Systems: A Survey is online.

01/2023: Our work Exploration and Regularization of the Latent Action Space in Recommendation with Kuaishou is accepted to WWW 2023.