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2022

Conference Publication

Unified question generation with continual lifelong learning

Yuan, Wei, Yin, Hongzhi, He, Tieke, Chen, Tong, Wang, Qiufeng and Cui, Lizhen (2022). Unified question generation with continual lifelong learning. WWW 2022 - ACM Web Conference 2022, Virtual Event, Lyon, France, 25-29 April 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3485447.3511930

Unified question generation with continual lifelong learning

2022

Conference Publication

Accepted Tutorials at The Web Conference 2022

Tommasini, Riccardo, Roy, Senjuti Basu, Wang, Xuan, Wang, Hongwei, Ji, Heng, Han, Jiawei, Nakov, Preslav, Da San Martino, Giovanni, Alam, Firoj, Schedl, Markus, Lex, Elisabeth, Bharadwaj, Akash, Cormode, Graham, Dojchinovski, Milan, Forberg, Jan, Frey, Johannes, Bonte, Pieter, Balduini, Marco, Belcao, Matteo, Della Valle, Emanuele, Yu, Junliang, Yin, Hongzhi, Chen, Tong, Liu, Haochen, Wang, Yiqi, Fan, Wenqi, Liu, Xiaorui, Dacon, Jamell, Lye, Lingjuan ... He, Xiangnan (2022). Accepted Tutorials at The Web Conference 2022. The Web Conference 2022, Lyon, France, 25 – 29 April 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3487553.3547182

Accepted Tutorials at The Web Conference 2022

2022

Conference Publication

ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs

Wang, Yanling, Zhang, Jing, Li, Haoyang, Dong, Yuxiao, Yin, Hongzhi, Li, Cuiping and Chen, Hong (2022). ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs. WWW '22: The ACM Web Conference 2022, Lyon, France, 25 - 29 April 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3485447.3512207

ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs

2022

Journal Article

Exploiting positional information for session-based recommendation

Qiu, Ruihong, Huang, Zi, Chen, Tong and Yin, Hongzhi (2022). Exploiting positional information for session-based recommendation. ACM Transactions on Information Systems, 40 (2) 3473339, 1-24. doi: 10.1145/3473339

Exploiting positional information for session-based recommendation

2022

Conference Publication

Contrastive learning for representation degeneration problem in sequential recommendation

Qiu, Ruihong, Huang, Zi, Yin, Hongzhi and Wang, Zijian (2022). Contrastive learning for representation degeneration problem in sequential recommendation. WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, Virtual, AZ, United States, 21 - 25 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3488560.3498433

Contrastive learning for representation degeneration problem in sequential recommendation

2022

Conference Publication

PipA!ack: poisoning federated recommender systems for manipulating item promotion

Zhang, Shijie, Yin, Hongzhi, Chen, Tong, Huang, Zi, Nguyen, Quoc Viet Hung and Cui, Lizhen (2022). PipA!ack: poisoning federated recommender systems for manipulating item promotion. WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, Virtual, AZ, United States, 21 - 25 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3488560.3498386

PipA!ack: poisoning federated recommender systems for manipulating item promotion

2022

Journal Article

HFUL: a hybrid framework for user account linkage across location-aware social networks

Chen, Wei, Wang, Weiqing, Yin, Hongzhi, Zhao, Lei and Zhou, Xiaofang (2022). HFUL: a hybrid framework for user account linkage across location-aware social networks. VLDB Journal, 32 (1), 1-22. doi: 10.1007/s00778-022-00730-8

HFUL: a hybrid framework for user account linkage across location-aware social networks

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

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

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

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

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

2022

Conference Publication

Hyperbolic personalized tag recommendation

Zhao, Weibin, Zhang, Aoran, Shang, Lin, Yu, Yonghong, Zhang, Li, Wang, Can, Chen, Jiajun and Yin, Hongzhi (2022). Hyperbolic personalized tag recommendation. 27th International Conference on Database Systems for Advanced Applications (DASFAA-2022), Virtual , 11-14 April 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-00126-0_14

Hyperbolic personalized tag recommendation

2022

Conference Publication

Switchable online knowledge distillation

Qian, Biao, Wang, Yang, Yin, Hongzhi, Hong, Richang and Wang, Meng (2022). Switchable online knowledge distillation. 17th European Conference on Computer Vision, ECCV 2022, Tel Aviv, Israel, October 23-27, 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-20083-0_27

Switchable online knowledge distillation

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

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

Conference Publication

Self-supervised graph co-training for session-based recommendation

Cui, Lizhen, Shao, Yingxia, Yu, Junliang, Yin, Hongzhi and Xia, Xin (2021). Self-supervised graph co-training for session-based recommendation. CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual, 1-5 November 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3459637.3482388

Self-supervised graph co-training for session-based recommendation