Skip to menu Skip to content Skip to footer

2022

Journal Article

An integrated first principal and deep learning approach for modeling nitrous oxide emissions from wastewater treatment plants

Li, Kaili, Duan, Haoran, Liu, Linfeng, Qiu, Ruihong, van den Akker, Ben, Ni, Bing-Jie, Chen, Tong, Yin, Hongzhi, Yuan, Zhiguo and Ye, Liu (2022). An integrated first principal and deep learning approach for modeling nitrous oxide emissions from wastewater treatment plants. Environmental Science and Technology, 56 (4) acs.est.1c05020, 2816-2826. doi: 10.1021/acs.est.1c05020

An integrated first principal and deep learning approach for modeling nitrous oxide emissions from wastewater treatment plants

2022

Journal Article

Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I

Zheng, Kai, Li, Yong, Shahabi, Cyrus and Yin, Hongzhi (2022). Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I. ACM Transactions on Intelligent Systems and Technology, 13 (1) 1, 1-2. doi: 10.1145/3495230

Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I

2022

Journal Article

Passenger mobility prediction via representation learning for dynamic directed and weighted graphs

Wang, Yuandong, Yin, Hongzhi, Chen, Tong, Liu, Chunyang, Wang, Ben, Wo, Tianyu and Xu, Jie (2022). Passenger mobility prediction via representation learning for dynamic directed and weighted graphs. ACM Transactions on Intelligent Systems and Technology, 13 (1) 2, 1-25. doi: 10.1145/3446344

Passenger mobility prediction via representation learning for dynamic directed and weighted graphs

2022

Journal Article

Hierarchical hyperedge embedding-based representation learning for group recommendation

Guo, Lei, Yin, Hongzhi, Chen, Tong, Zhang, Xiangliang and Zheng, Kai (2022). Hierarchical hyperedge embedding-based representation learning for group recommendation. ACM Transactions on Information Systems, 40 (1) 3, 1-27. doi: 10.1145/3457949

Hierarchical hyperedge embedding-based representation learning for group recommendation

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

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

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

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

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

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

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

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