Shuokai Li

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Information Filtering

Recommender Systems

Top Venues

Inf. Process. Manag.

Publications

Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou
Matching Point of Interests and Travel Blog with Multi-view Information Fusion. SIGIR (2023)
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
Customized Conversational Recommender Systems. ECML/PKDD (2) (2022)
Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR (2022)
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
Customized Conversational Recommender Systems. CoRR (2022)
Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He
Self-Supervised learning for Conversational Recommendation. Inf. Process. Manag. 59 (6) (2022)
Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. CoRR (2022)
Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. SIGIR (2022)
Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. CoRR (2022)
Shuokai Li, Xiang Ao, Feiyang Pan, Qing He
Learning policy scheduling for text augmentation. Neural Networks 145 (2022)
Feiyang Pan, Shuokai Li, Xiang Ao, Qing He
Relation Reconstructive Binarization of word embeddings. Frontiers Comput. Sci. 16 (2) (2022)
Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. CoRR (2019)
Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. SIGIR (2019)