Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Hung, Nguyen Quoc Viet"'
As a branch of advanced artificial intelligence, dialogue systems are prospering. Multi-turn response selection is a general research problem in dialogue systems. With the assistance of background information and pre-trained language models, the perf
Externí odkaz:
http://arxiv.org/abs/2407.18479
Cross-domain Recommendation (CDR) as one of the effective techniques in alleviating the data sparsity issues has been widely studied in recent years. However, previous works may cause domain privacy leakage since they necessitate the aggregation of d
Externí odkaz:
http://arxiv.org/abs/2401.14678
As an indispensable personalized service within Location-Based Social Networks (LBSNs), the Point-of-Interest (POI) recommendation aims to assist individuals in discovering attractive and engaging places. However, the accurate recommendation capabili
Externí odkaz:
http://arxiv.org/abs/2401.14583
Imbalanced node classification widely exists in real-world networks where graph neural networks (GNNs) are usually highly inclined to majority classes and suffer from severe performance degradation on classifying minority class nodes. Various imbalan
Externí odkaz:
http://arxiv.org/abs/2304.14635
As an indispensable personalized service in Location-based Social Networks (LBSNs), the next Point-of-Interest (POI) recommendation aims to help people discover attractive and interesting places. Currently, most POI recommenders are based on the conv
Externí odkaz:
http://arxiv.org/abs/2304.03947
Contrastive learning (CL) has recently been demonstrated critical in improving recommendation performance. The underlying principle of CL-based recommendation models is to ensure the consistency between representations derived from different graph au
Externí odkaz:
http://arxiv.org/abs/2209.02544
Autor:
Imran, Mubashir, Yin, Hongzhi, Chen, Tong, Hung, Nguyen Quoc Viet, Zhou, Alexander, Zheng, Kai
Owing to its nature of scalability and privacy by design, federated learning (FL) has received increasing interest in decentralized deep learning. FL has also facilitated recent research on upscaling and privatizing personalized recommendation servic
Externí odkaz:
http://arxiv.org/abs/2207.13897
Autor:
Yuan, Wei, Zhang, Quanjun, He, Tieke, Fang, Chunrong, Hung, Nguyen Quoc Viet, Hao, Xiaodong, Yin, Hongzhi
Automatic Program Repair (APR) aims at fixing buggy source code with less manual debugging efforts, which plays a vital role in improving software reliability and development productivity. Recent APR works have achieved remarkable progress via applyi
Externí odkaz:
http://arxiv.org/abs/2205.10956
Modern recommender systems operate in a fully server-based fashion. To cater to millions of users, the frequent model maintaining and the high-speed processing for concurrent user requests are required, which comes at the cost of a huge carbon footpr
Externí odkaz:
http://arxiv.org/abs/2204.11091
Next Point-of-Interest (POI) recommendation has become an indispensable functionality in Location-based Social Networks (LBSNs) due to its effectiveness in helping people decide the next POI to visit. However, accurate recommendation requires a vast
Externí odkaz:
http://arxiv.org/abs/2204.06516