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Profil bibliographique

Weisheng Xu

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

9Publications signalées
53Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Advanced Neural Network ApplicationsRecommender Systems and TechniquesVideo Surveillance and Tracking MethodsAdvanced Graph Neural NetworksMechanical and Optical Resonators

Les publications récentes

2023 conference-paper OpenAlex

Redrec: Relation and Dynamic Aware Graph Convolutional Network for Sequential Recommendation

Runfeng Yao, Weisheng Xu, Zhenyu Liu, Yang Wang et autres

In the daily lives, people always buy complements together instead of substitutes. These item relationships in the user-item interaction sequences can have impact on the target item in the recommender systems. It is essential to recognize that strength of these item-item influence …

cn (code pays fourni par la source)

0 citations
Accès ouvert 2023 conference-paper OpenAlex

Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items

Huajie Chen, Jiyuan He, Weisheng Xu, Tao Feng et autres

Understanding the relationships between items can improve the accuracy and interpretability of recommender systems. Among these relationships, the substitute and complement relationships attract the most attention in e-commerce platforms. The substitutable items are interchangeable and might be compared with each other before …

cn (code pays fourni par la source)

12 citations Proceedings of the AAAI Conference on Artificial Intelligence
2023 article OpenAlex

MBFQuant: A Multiplier-Bitwidth-Fixed, Mixed-Precision Quantization Method for Mobile CNN-Based Applications

Peng Peng, Mingyu You, Kai Jiang, Youzao Lian et autres

Deploying Convolutional Neural Network (CNN)-based applications to mobile platforms can be challenging due to the conflict between the restricted computing capacity of mobile devices and the heavy computational overhead of running a CNN. Network quantization is a promising way of alleviating this …

cn (code pays fourni par la source)

25 citations IEEE Transactions on Image Processing

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