Yinan Zhang

Yinan Zhang

Research Assistant Professor, College of Computing and Data Science, Nanyang Technological University

Publications

  • GreenBites: A Real-Time Diet Assistant for Sustainable Health and Eco-Friendly Living.
    Yang Qiu, Yinan Zhang, Hongyu Zhou, Bo Huang and Zhiqi Shen.
    In WWW’25. Demo track.

  • Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate.
    Jiazheng Jing*, Yinan Zhang* and Chunyan Miao.
    In AAAI’25. Acceptance rate: 23.4%, main track (oral).
  • The POWER of Ikigai: Optimizing Life Fulfillment with an Integrated User Simulator and Adaptive Hobby Recommender.
    Ping Chen, Jonathan Leung, Yinan Zhang and Zhiqi Shen.
    In IAAI’25. Acceptance rate: 15.76%.
  • GreenRec: A Large-Scale Dataset for Green Food Recommendation.
    Lingzi Zhang*, Yinan Zhang*, Xin Zhou and Zhiqi Shen.
    In WWW’24. Short paper track.
    [Paper]
  • Enabling Patient-side Disease Prediction via the Integration of Patient Narratives.
    Zhixiang Su, Yinan Zhang, Jiazheng Jing, Jie Xiao and Zhiqi Shen.
    In WWW’24. Short paper track.
    [Paper]
  • Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation.
    Jiazheng Jing*, Yinan Zhang*, Xin Zhou and Zhiqi Shen.
    In CIKM’23. Acceptance rate: 24%, main track.
    [Paper]
  • Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference.
    Yinan Zhang, Boyang Li, Yong Liu, Yuan You and Chunyan Miao.
    In WSDM 2023 Workshop on Interactive Recommender Systems.
    [Paper]
  • Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems.
    Yinan Zhang, Boyang Li, Yong Liu, Hao Wang and Chunyan Miao.
    In KDD’21. Acceptance rate: 15.4%, research track.
    [Paper] [Code] [Video]
  • Learning Hierarchical Review Graph Representations for Recommendation.
    Yong Liu, Susen Yang, Yinan Zhang, Chunyan Miao, Zaiqing Nie and Juyong Zhang.
    In IEEE Transactions on Knowledge and Data Engineering. Regular paper.
  • Learning personalized itemset mapping for cross-domain recommendation.
    Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li and Haihong Tang.
    In IJCAI’20. Acceptance rate: 12.7%, main track.
    [Paper]
  • Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparison Questions.
    Chang Liu, Yinan Zhang, Lei Liu, Lizhen Cui, Dong Yuan, Chunyan Miao.
    In CIKM’17. Acceptance rate: 20%, full paper.
    [Paper]