Shuokai Li 李硕凯

I am a 4th-year PhD candidate under the supervision of Prof. Qing He at Machine Learning and Data Mining group, Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS). My research interests include:

  • Conversational Recommender System / POI recommendation
  • Data Augmentation / Natural Language Generation / Knowledge Graph
  • Self-Supervised Learning / Meta Learning / Graph Convolutional Network

Contact: lishuokai18z [AT] ict [dot] ac [dot] cn

GitHub    /    Google Scholar    /    ResearchGate    /    DBLP

News
06/2022 One first-authored paper got accepted by ECML-PKDD 2022.
06/2022 Invited to serve as a Sub-Reviewer for CIKM 2022.
05/2022 Will give a spotlight presentation on our SIGIR 2022 work at the AIS 2022.
04/2022 Invited to serve as a PC Member for ECML-PKDD 2022.
04/2022 One first-authored paper and one co-authored paper got accepted by SIGIR 2022.
03/2022 Invited to serve as a reviewer for Information Processing and Management.
09/2021 One first-authored paper got accepted by Neural Networks.
07/2020 One co-authored paper got accepted by Frontiers of Computer Science.
04/2019 One co-authored paper got accepted by SIGIR 2019.
Publications
2022
[ECML-PKDD 2022]  Customized Conversational Recommender Systems
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, and Hui Xiong
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (Acceptance Rate:242/932=26.0%)
Preprint / Slides / Chinese Blog 1
[SIGIR 2022]  User-Centric Conversational Recommendation with Multi-Aspect User Modeling
Shuokai Li*, Ruobing Xie*, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, and Qing He (*:Equal Contribution)
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (Acceptance Rate:161/794=20.3%)
Preprint / Slides / Code / Chinese Blog 1 / 2 / 3
[SIGIR 2022]  Generalizing to the Future: Mitigating Entity Bias in Fake News Detection
Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, and Fuzhen Zhuang
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (Acceptance Rate:165/667=24.7%)
Preprint / Code / Chinese Blog 1 / 2 / 3
2021
[Neural Networks]  Learning Policy Scheduling for Text Augmentation
Shuokai Li, Feiyang Pan, Xiang Ao and Qing He
Neural Networks
Paper
2020
[FCS]  Relation Reconstructive Binarization of Word-Embeddings
Feiyang Pan, Shuokai Li, Xiang Ao and Qing He
Frontiers of Computer Science
Paper / Slides
2019
[SIGIR 2019]  Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings
Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang and Qing He
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (Acceptance rate: 84/426=19.7%)
Preprint / Paper / Code
Academic Services
Reviewer/PC Member CIKM 2022
ECML-PKDD 2022
Information Processing and Management
Education
2018- Ph.D in Computer Science and Technology (Candidate)
University of Chinese Academy of Sciences (Cultivation Unit: Institute of Computing Technology, Chinese Academy of Sciences)
2014-2018 B. S. in Probability and Statistics
School of the Gifted Young, University of Science and Technology of China
Honors and Awards
  • 2022: Merit Student of UCAS(中国科学院大学三好学生).
  • 2022: SIGIR 2022 Travel Grant.
  • 2018: Excellent Undergraduate Thesis of USTC, 2018(优秀毕业论文).