Jiaren Xiao

According to our database, Jiaren Xiao authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A survey on application in RF signal.

Jiaren Xiao, Bing Luo, Li Xu, Bo Li, Zhiguo Chen

Multim. Tools Appl., January, 2024

Semi-supervised domain adaptation on graphs with contrastive learning and minimax entropy.

Jiaren Xiao, Quanyu Dai, Xiao Shen, Xiaochen Xie, Jing Dai, James Lam, Ka-Wai Kwok

Neurocomputing, 2024

Vector Quantization for Recommender Systems: A Review and Outlook.

Qijiong Liu, Xiaoyu Dong, Jiaren Xiao, Nuo Chen, Hengchang Hu, Jieming Zhu, Chenxu Zhu, Tetsuya Sakai, Xiao-Ming Wu

CoRR, 2024

Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization.

Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu

Proceedings of the ACM on Web Conference 2024, 2024

2023

Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation.

Jing Dai, Xiaomei Wang, Yingqi Li, Zhiyu Liu, Yui-Lun Ng, Jiaren Xiao, Joe King Man Fan, James Lam, Qi Dou, Varut Vardhanabhuti, Ka-Wai Kwok

Adv. Intell. Syst., September, 2023

Graph Transfer Learning via Adversarial Domain Adaptation With Graph Convolution.

Quanyu Dai, Xiao-Ming Wu, Jiaren Xiao, Xiao Shen, Dan Wang

IEEE Trans. Knowl. Data Eng., May, 2023

Domain Adaptive Graph Infomax via Conditional Adversarial Networks.

Jiaren Xiao, Quanyu Dai, Xiaochen Xie, Qi Dou, Ka-Wai Kwok, James Lam

IEEE Trans. Netw. Sci. Eng., 2023

Adversarially regularized graph attention networks for inductive learning on partially labeled graphs.

Jiaren Xiao, Quanyu Dai, Xiaochen Xie, James Lam, Ka-Wai Kwok

Knowl. Based Syst., 2023

Co-evolving Vector Quantization for ID-based Recommendation.

Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu

CoRR, 2023

2022

A Survey about application based on RF signals.

Jiaren Xiao

CoRR, 2022