‪Jingqi Gao‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	35	35
h-index	3	3
i10-index	2	2

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2022202320241 14 20

Co-authors

Peilin ZhouHKUST; Peking UniversityVerified email at connect.hkust-gz.edu.cn
Yueqi XieHKUSTVerified email at connect.ust.hk
Qichen YePeking UniversityVerified email at pku.edu.cn
Shoujin WangUniversity of Technology Sydney, Macquarie UniversityVerified email at uts.edu.au
Yining HuaHarvard UniversityVerified email at g.harvard.edu
Fangzhao WuMicrosoftVerified email at microsoft.com
Chenyu YouYale UniversityVerified email at yale.edu

Jingqi Gao

Jingqi Gao

Verified email at connect.ust.hk

Recommendation System Deep Learning


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Equivariant contrastive learning for sequential recommendation P Zhou, J Gao, Y Xie, Q Ye, Y Hua, J Kim, S Wang, S Kim Proceedings of the 17th ACM Conference on Recommender Systems, 129-140, 2023	15	2023
Rethinking multi-interest learning for candidate matching in recommender systems Y Xie, J Gao, P Zhou, Q Ye, Y Hua, JB Kim, F Wu, S Kim Proceedings of the 17th ACM Conference on Recommender Systems, 283-293, 2023	13	2023
Attention Calibration for Transformer-based Sequential Recommendation P Zhou, Q Ye, Y Xie, J Gao, S Wang, JB Kim, C You, S Kim Proceedings of the 32nd ACM International Conference on Information and …, 2023	7	2023
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation P Zhou, YL Huang, Y Xie, J Gao, S Wang, JB Kim, S Kim arXiv preprint arXiv:2403.11136, 2024		2024

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