Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. - Feiyang Pan; Shuokai Li; Xiang Ao 001; Pingzhong Tang; Qing He 003 (SIGIR, 2019)

Customized Conversational Recommender Systems. - Shuokai Li; Yongchun Zhu; Ruobing Xie; Zhenwei Tang; Zhao Zhang 011; Fuzhen Zhuang; Qing He 003; Hui Xiong 001 (ECML/PKDD (2), 2022)

User-Centric Conversational Recommendation with Multi-Aspect User Modeling. - Shuokai Li; Ruobing Xie; Yongchun Zhu; Xiang Ao 001; Fuzhen Zhuang; Qing He 003 (SIGIR, 2022)

Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. - Yongchun Zhu; Qiang Sheng 001; Juan Cao 001; Shuokai Li; Danding Wang; Fuzhen Zhuang (SIGIR, 2022)

Relation Reconstructive Binarization of word embeddings. - Feiyang Pan; Shuokai Li; Xiang Ao 001; Qing He 003 (Frontiers Comput. Sci., 2022)

Self-Supervised learning for Conversational Recommendation. - Shuokai Li; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Zhenwei Tang; Wayne Xin Zhao; Qing He 003 (Inf. Process. Manag., 2022)

Learning policy scheduling for text augmentation. - Shuokai Li; Xiang Ao 001; Feiyang Pan; Qing He 003 (Neural Networks, 2022)

Matching Point of Interests and Travel Blog with Multi-view Information Fusion. - Shuokai Li; Jingbo Zhou; Jizhou Huang; Hao Chen; Fuzhen Zhuang; Qing He 003; Dejing Dou (SIGIR, 2023)