27 citations · 70 across the 13 of their papers we have counts for
13 papers
When Large Language Models Meet Citation: A Survey
Yang Zhang, Yufei Wang, Kai Wang +5
Citations in scholarly work serve the essential purpose of acknowledging and crediting the original sources of knowledge that have been incorporated or referenced. Depending on the…
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao, Quan Z. Sheng, Julian McAuley +1
Deep Generative AI has been a long-standing essential topic in the machine learning community, which can impact a number of application areas like text generation and computer visi…
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation
Siyu Wang, Xiaocong Chen, Quan Z. Sheng +2
Recommendation models are typically trained on observational user interaction data, but the interactions between latent factors in users' decision-making processes lead to complex…
Guided Image-to-Image Translation by Discriminator-Generator Communication
Yuanjiang Cao, Lina Yao, Le Pan +2
The goal of Image-to-image (I2I) translation is to transfer an image from a source domain to a target domain, which has recently drawn increasing attention. One major branch of thi…
A Survey on Participant Selection for Federated Learning in Mobile Networks
Behnaz Soltani, Venus Haghighi, Adnan Mahmood +2
Federated Learning (FL) is an efficient distributed machine learning paradigm that employs private datasets in a privacy-preserving manner. The main challenges of FL is that end de…
An Internet of Things Service Roadmap
Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah +5
We propose a roadmap for leveraging the tremendous opportunities the Internet of Things (IoT) has to offer. We argue that the combination of the recent advances in service computin…