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Journal Articles
- 2024
[j7]Jiaren Xiao
, Quanyu Dai, Xiao Shen, Xiaochen Xie, Jing Dai, James Lam, Ka-Wai Kwok:
Semi-supervised domain adaptation on graphs with contrastive learning and minimax entropy. Neurocomputing 580: 127469 (2024)- [j6]Jiaren Xiao, Bing Luo, Li Xu, Bo Li, Zhiguo Chen:
A survey on application in RF signal. Multim. Tools Appl. 83(4): 11885-11908 (2024) - 2023
- [j5]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:
Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation. Adv. Intell. Syst. 5(9) (2023) - [j4]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:
Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation. Adv. Intell. Syst. 5(9) (2023) - [j3]Jiaren Xiao, Quanyu Dai, Xiaochen Xie, James Lam, Ka-Wai Kwok:
Adversarially regularized graph attention networks for inductive learning on partially labeled graphs. Knowl. Based Syst. 268: 110456 (2023) - [j2]Quanyu Dai, Xiao-Ming Wu, Jiaren Xiao, Xiao Shen, Dan Wang:
Graph Transfer Learning via Adversarial Domain Adaptation With Graph Convolution. IEEE Trans. Knowl. Data Eng. 35(5): 4908-4922 (2023) - [j1]Jiaren Xiao, Quanyu Dai, Xiaochen Xie, Qi Dou, Ka-Wai Kwok, James Lam:
Domain Adaptive Graph Infomax via Conditional Adversarial Networks. IEEE Trans. Netw. Sci. Eng. 10(1): 35-52 (2023)
Conference and Workshop Papers
- 2024
- [c1]Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu:
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization. WWW 2024: 3521-3532
Informal and Other Publications
- 2024
- [i5]Qijiong Liu, Xiaoyu Dong, Jiaren Xiao, Nuo Chen, Hengchang Hu, Jieming Zhu, Chenxu Zhu, Tetsuya Sakai, Xiao-Ming Wu:
Vector Quantization for Recommender Systems: A Review and Outlook. CoRR abs/2405.03110 (2024) - 2023
- [i4]Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu:
Co-evolving Vector Quantization for ID-based Recommendation. CoRR abs/2308.16761 (2023) - [i3]Jiaren Xiao, Quanyu Dai, Xiao Shen, Xiaochen Xie, Jing Dai, James Lam, Ka-Wai Kwok:
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy. CoRR abs/2309.07402 (2023) - 2022
- [i2]Jiaren Xiao:
A Survey about application based on RF signals. CoRR abs/2203.12424 (2022) - 2021
- [i1]Jiaren Xiao, Quanyu Dai, Xiaochen Xie, James Lam, Ka-Wai Kwok:
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs. CoRR abs/2106.03393 (2021)
Coauthor Index
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