111 citations · 140 across the 5 of their papers we have counts for
5 papers
Lightweight Self-Attentive Sequential Recommendation
Yang Li, Tong Chen, Peng-Fei Zhang +1
Modern deep neural networks (DNNs) have greatly facilitated the development of sequential recommender systems by achieving state-of-the-art recommendation performance on various se…
Attribute-aware Explainable Complementary Clothing Recommendation
Yang Li, Tong Chen, Zi Huang
Modelling mix-and-match relationships among fashion items has become increasingly demanding yet challenging for modern E-commerce recommender systems. When performing clothes match…
Context-Aware Attention-Based Data Augmentation for POI Recommendation
Yang Li, Yadan Luo, Zheng Zhang +2
With the rapid growth of location-based social networks (LBSNs), Point-Of-Interest (POI) recommendation has been broadly studied in this decade. Recently, the next POI recommendati…
Enhance Multimodal Model Performance with Data Augmentation: Facebook Hateful Meme Challenge Solution
Yang Li, Zinc Zhang, Hutchin Huang
Hateful content detection is one of the areas where deep learning can and should make a significant difference. The Hateful Memes Challenge from Facebook helps fulfill such potenti…
SADIH: Semantic-Aware DIscrete Hashing
Zheng Zhang, Guo-sen Xie, Yang Li +2
Due to its low storage cost and fast query speed, hashing has been recognized to accomplish similarity search in large-scale multimedia retrieval applications. Particularly supervi…