Search Results for author: Rongqin Zheng

Found 3 papers, 2 papers with code

UFNRec: Utilizing False Negative Samples for Sequential Recommendation

1 code implementation8 Aug 2022 Xiaoyang Liu, Chong Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Leyu Lin, Zhijun Chen, Liangliang Fu

To this end, we propose a novel method that can Utilize False Negative samples for sequential Recommendation (UFNRec) to improve model performance.

Sequential Recommendation

CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation

2 code implementations13 Dec 2021 Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin

State-of-the-art sequential recommendation models proposed very recently combine contrastive learning techniques for obtaining high-quality user representations.

Click-Through Rate Prediction Contrastive Learning +2

Segmentation of Levator Hiatus Using Multi-Scale Local Region Active contours and Boundary Shape Similarity Constraint

no code implementations11 Jan 2019 Xinling Zhang, Xu Li, Ying Chen, Yixin Gan, Dexing Kong, Rongqin Zheng

In this paper, a multi-scale framework with local region based active contour and boundary shape similarity constraint is proposed for the segmentation of levator hiatus in ultrasound images.

Segmentation

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