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2022

Journal Article

LECF: recommendation via learnable edge collaborative filtering

Xiao, Shitao, Shao, Yingxia, Li, Yawen, Yin, Hongzhi, Shen, Yanyan and Cui, Bin (2022). LECF: recommendation via learnable edge collaborative filtering. Science China Information Sciences, 65 (1) 112101. doi: 10.1007/s11432-020-3274-6

LECF: recommendation via learnable edge collaborative filtering

2022

Journal Article

Personalized on-device e-health analytics with decentralized block coordinate descent

Ye, Guanhua, Yin, Hongzhi, Chen, Tong, Xu, Miao, Nguyen, Quoc Viet Hung and Song, Jiangning (2022). Personalized on-device e-health analytics with decentralized block coordinate descent. IEEE Journal of Biomedical and Health Informatics, 26 (6), 1-1. doi: 10.1109/JBHI.2022.3140455

Personalized on-device e-health analytics with decentralized block coordinate descent

2022

Journal Article

Preface - Special Issue on Misinformation on the Web

Aberer, Karl, Katakis, Ioannis, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2022). Preface - Special Issue on Misinformation on the Web. Information Systems, 103 101867, 101867. doi: 10.1016/j.is.2021.101867

Preface - Special Issue on Misinformation on the Web

2022

Journal Article

Learning holistic interactions in LBSNs with high-order, dynamic, and multi-role contexts

Huynh, Thanh Trung, Tong, Vinh Van, Nguyen, Thanh Tam, Jo, Jun, Yin, Hongzhi and Nguyen, Quoc Viet Hung (2022). Learning holistic interactions in LBSNs with high-order, dynamic, and multi-role contexts. IEEE Transactions on Knowledge & Data Engineering, PP (99), 1-1. doi: 10.1109/TKDE.2022.3150792

Learning holistic interactions in LBSNs with high-order, dynamic, and multi-role contexts

2021

Journal Article

Scalable robust graph embedding with Spark

Duong, Chi Thang, Hoang, Trung Dung, Yin, Hongzhi, Weidlich, Matthias, Nguyen, Quoc Viet Hung and Aberer, Karl (2021). Scalable robust graph embedding with Spark. Proceedings of the VLDB Endowment, 15 (4), 914-922. doi: 10.14778/3503585.3503599

Scalable robust graph embedding with Spark

2021

Journal Article

Towards Revenue Maximization with Popular and Profitable Products

Gan, Wensheng, Chen, Guoting, Yin, Hongzhi, Fournier-Viger, Philippe, Chen, Chien-Ming and Yu, Philip S. (2021). Towards Revenue Maximization with Popular and Profitable Products. ACM/IMS Transactions on Data Science, 2 (4), 1-21. doi: 10.1145/3488058

Towards Revenue Maximization with Popular and Profitable Products

2021

Journal Article

Quaternion factorization machines: a lightweight solution to intricate feature interaction modeling

Chen, Tong, Yin, Hongzhi, Zhang, Xiangliang, Huang, Zi, Wang, Yang and Wang, Meng (2021). Quaternion factorization machines: a lightweight solution to intricate feature interaction modeling. IEEE Transactions on Neural Networks and Learning Systems, PP (99), 1-14. doi: 10.1109/TNNLS.2021.3118706

Quaternion factorization machines: a lightweight solution to intricate feature interaction modeling

2021

Journal Article

Fast-adapting and privacy-preserving federated recommender system

Wang, Qinyong, Yin, Hongzhi, Chen, Tong, Yu, Junliang, Zhou, Alexander and Zhang, Xiangliang (2021). Fast-adapting and privacy-preserving federated recommender system. The VLDB Journal, 31 (5), 877-896. doi: 10.1007/s00778-021-00700-6

Fast-adapting and privacy-preserving federated recommender system

2021

Journal Article

A block-based generative model for attributed network embedding

Liu, Xueyan, Yang, Bo, Song, Wenzhuo, Musial, Katarzyna, Zuo, Wanli, Chen, Hongxu and Yin, Hongzhi (2021). A block-based generative model for attributed network embedding. World Wide Web, 24 (5), 1439-1464. doi: 10.1007/s11280-021-00918-y

A block-based generative model for attributed network embedding

2021

Journal Article

Utility mining across multi-dimensional sequences

Gan, Wensheng, Lin, Jerry Chun-Wei, Zhang, Jiexiong, Yin, Hongzhi, Fournier-Viger, Philippe, Chao, Han-Chieh and Yu, Philip S. (2021). Utility mining across multi-dimensional sequences. ACM Transactions on Knowledge Discovery from Data, 15 (5) 3446938, 1-24. doi: 10.1145/3446938

Utility mining across multi-dimensional sequences

2021

Journal Article

An integrated model based on deep multimodal and rank learning for point-of-interest recommendation

Liao, Jianxin, Liu, Tongcun, Yin, Hongzhi, Chen, Tong, Wang, Jingyu and Wang, Yulong (2021). An integrated model based on deep multimodal and rank learning for point-of-interest recommendation. World Wide Web, 24 (2), 631-655. doi: 10.1007/s11280-021-00865-8

An integrated model based on deep multimodal and rank learning for point-of-interest recommendation

2021

Journal Article

Disease prediction via graph neural networks

Sun, Zhenchao, Yin, Hongzhi, Chen, Hongxu, Chen, Tong, Cui, Lizhen and Yang, Fan (2021). Disease prediction via graph neural networks. IEEE Journal of Biomedical and Health Informatics, 25 (3) 9122573, 818-826. doi: 10.1109/JBHI.2020.3004143

Disease prediction via graph neural networks

2021

Journal Article

Efficient and effective multi-modal queries through heterogeneous network embedding

Duong, Chi Thang, Nguyen, Tam Thanh, Yin, Hongzhi, Weidlich, Matthias, Mai, Son, Aberer, Karl and Nguyen, Quoc Viet Hung (2021). Efficient and effective multi-modal queries through heterogeneous network embedding. IEEE Transactions on Knowledge and Data Engineering, 34 (11), 1-1. doi: 10.1109/TKDE.2021.3052871

Efficient and effective multi-modal queries through heterogeneous network embedding

2021

Journal Article

Multifractal characterization of distribution synchrophasors for cybersecurity defense of smart grids

Cui, Yi, Bai, Feifei, Yan, Ruifeng, Saha, Tapan, Mosadeghy, Mehdi, Yin, Hongzhi, Ko, Ryan K. L. and Liu, Yilu (2021). Multifractal characterization of distribution synchrophasors for cybersecurity defense of smart grids. IEEE Transactions on Smart Grid, 13 (2), 1658-1661. doi: 10.1109/tsg.2021.3132536

Multifractal characterization of distribution synchrophasors for cybersecurity defense of smart grids

2021

Journal Article

FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection

Ye, Guanhua, Yin, Hongzhi, Chen, Tong, Chen, Hongxu, Cui, Lizhen and Zhang, Xiangliang (2021). FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. IEEE Journal of Biomedical and Health Informatics, 25 (8) 9320528, 2848-2856. doi: 10.1109/JBHI.2021.3050113

FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection

2021

Journal Article

Efficient streaming subgraph isomorphism with graph neural networks

Duong, Chi Thang, Hoang, Trung Dung, Yin, Hongzhi, Weidlich, Matthias, Nguyen, Quoc Viet Hung and Aberer, Karl (2021). Efficient streaming subgraph isomorphism with graph neural networks. Proceedings of the VLDB Endowment, 14 (5), 730-742. doi: 10.14778/3446095.3446097

Efficient streaming subgraph isomorphism with graph neural networks

2021

Journal Article

Reinforced KGs reasoning for explainable sequential recommendation

Cui, Zhihong, Chen, Hongxu, Cui, Lizhen, Liu, Shijun, Liu, Xueyan, Xu, Guandong and Yin, Hongzhi (2021). Reinforced KGs reasoning for explainable sequential recommendation. World Wide Web, 25 (2), 631-654. doi: 10.1007/s11280-021-00902-6

Reinforced KGs reasoning for explainable sequential recommendation

2021

Journal Article

Secure your ride: real-time matching success rate prediction for passenger-driver pairs

Wang, Yuandong, Yin, Hongzhi, Wu, Lian, Chen, Tong and Liu, Chunyang (2021). Secure your ride: real-time matching success rate prediction for passenger-driver pairs. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-14. doi: 10.1109/tkde.2021.3112739

Secure your ride: real-time matching success rate prediction for passenger-driver pairs

2020

Journal Article

Enhanced factorization machine via neural pairwise ranking and attention networks

Yu, Yonghong, Jiao, Lihong, Zhou, Ningning, Zhang, Li and Yin, Hongzhi (2020). Enhanced factorization machine via neural pairwise ranking and attention networks. Pattern Recognition Letters, 140, 348-357. doi: 10.1016/j.patrec.2020.11.010

Enhanced factorization machine via neural pairwise ranking and attention networks

2020

Journal Article

Entity alignment for knowledge graphs with multi-order convolutional networks

Nguyen, Tam Thanh, Huynh, Thanh Trung, Yin, Hongzhi, Tong, Vinh Van, Sakong, Darnbi, Zheng, Bolong and Nguyen, Quoc Viet Hung (2020). Entity alignment for knowledge graphs with multi-order convolutional networks. IEEE Transactions on Knowledge and Data Engineering, 34 (9), 1-1. doi: 10.1109/TKDE.2020.3038654

Entity alignment for knowledge graphs with multi-order convolutional networks