📝 科研成果

• AAAI 2025 (口头报告) Mind Individual Information! Principal Graph Learning for Multimedia Recommendation, Penghang Yu, Zhiyi Tan, Guanming Lu, Bing-Kun Bao.     代码

• AAAI 2025 BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation, Qile Fan*, Penghang Yu*, Zhiyi Tan, Bing-Kun Bao, Guanming Lu. (* 共同第一作者)     代码

• TKDD 2024 Improving graph collaborative filtering with directional behavior enhanced contrastive learning, Penghang Yu, Bing-Kun Bao, Zhiyi Tan, Guanming Lu.

• ACM MM 2023 Multi-View Graph Convolutional Network for Multimedia Recommendation, Penghang Yu, Zhiyi Tan, Guanming Lu, Bing-Kun Bao.     代码

✍ 正在进行的工作

TIM: A Large-Scale Dataset and large Timeline Intelligence Model for Open-domain Timeline Summarization, Chuanrui Hu, Wei Hu, Penghang Yu, Hua Zhang, Bing-Kun Bao.

ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models, Bin Chen, Xinzge Gao, Chuanrui Hu, Penghang Yu, Hua Zhang, Bing-Kun Bao

更多详情，请访问我的 Google Scholar 主页。