Jiaren Xiao

15 papers A* 2Journal 13
YearRankTypeTitle / Venue / Authors
2025 A* conf
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising.
WWW
Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong
2025 J jnl
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising.
CoRR
Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong
2024 J jnl
A survey on application in RF signal.
Multim. Tools Appl.
Jiaren Xiao, Bing Luo, Li Xu, Bo Li, Zhiguo Chen
2024 A* conf
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization.
WWW
Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu
2024 J jnl
Semi-supervised domain adaptation on graphs with contrastive learning and minimax entropy.
Neurocomputing
Jiaren Xiao, Quanyu Dai, Xiao Shen, Xiaochen Xie, Jing Dai, James Lam, Ka-Wai Kwok
2024 J jnl
Vector Quantization for Recommender Systems: A Review and Outlook.
CoRR
Qijiong Liu, Xiaoyu Dong, Jiaren Xiao, Nuo Chen, Hengchang Hu, Jieming Zhu, Chenxu Zhu, Tetsuya Sakai, Xiao-Ming Wu
2023 J jnl
Adversarially regularized graph attention networks for inductive learning on partially labeled graphs.
Knowl. Based Syst.
Jiaren Xiao, Quanyu Dai, Xiaochen Xie, James Lam, Ka-Wai Kwok
2023 J jnl
Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation.
Adv. Intell. Syst.
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
2023 J jnl
Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation.
Adv. Intell. Syst.
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
2023 J jnl
Co-evolving Vector Quantization for ID-based Recommendation.
CoRR
Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu
2023 J jnl
Domain Adaptive Graph Infomax via Conditional Adversarial Networks.
IEEE Trans. Netw. Sci. Eng.
Jiaren Xiao, Quanyu Dai, Xiaochen Xie, Qi Dou, Ka-Wai Kwok, James Lam
2023 J jnl
Graph Transfer Learning via Adversarial Domain Adaptation With Graph Convolution.
IEEE Trans. Knowl. Data Eng.
Quanyu Dai, Xiao-Ming Wu, Jiaren Xiao, Xiao Shen, Dan Wang
2023 J jnl
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy.
CoRR
Jiaren Xiao, Quanyu Dai, Xiao Shen, Xiaochen Xie, Jing Dai, James Lam, Ka-Wai Kwok
2022 J jnl
A Survey about application based on RF signals.
CoRR
Jiaren Xiao
2021 J jnl
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs.
CoRR
Jiaren Xiao, Quanyu Dai, Xiaochen Xie, James Lam, Ka-Wai Kwok