Shuokai Li

According to our database, Shuokai Li authored at least 9 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Awakening Dormant Users: Generative Recommendation with Counterfactual Functional Role Reasoning.

Huishi Luo, Shuokai Li, Hanchen Yang, Zhongbo Sun, Haojie Ding, Boheng Zhang, Zijia Cai, Renliang Qian, Fan Yang, Tingting Gao, Chenyi Lei, Wenwu Ou, Fuzhen Zhuang

CoRR, February, 2026

2023

Matching Point of Interests and Travel Blog with Multi-view Information Fusion.

Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Learning policy scheduling for text augmentation.

Shuokai Li, Xiang Ao, Feiyang Pan, Qing He

Neural Networks, 2022

Self-Supervised learning for Conversational Recommendation.

Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He

Inf. Process. Manag., 2022

Relation Reconstructive Binarization of word embeddings.

Feiyang Pan, Shuokai Li, Xiang Ao, Qing He

Frontiers Comput. Sci., 2022

Generalizing to the Future: Mitigating Entity Bias in Fake News Detection.

Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

User-Centric Conversational Recommendation with Multi-Aspect User Modeling.

Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Customized Conversational Recommender Systems.

Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2019

Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings.

Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019