2026 Hongzhi Yin: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	74	1519	1474	42	42	483	18458

Research.com Recognitions

2025 - Research.com Computer Science in Australia Leader Award
2022 - Research.com Computer Science in Australia Leader Award

Overview

Hongzhi Yin is affiliated with the University of Queensland in Australia and specializes in computer science with a primary focus on artificial intelligence, information systems, and computer vision and pattern recognition. Their research encompasses several interrelated subfields, including advanced graph neural networks, recommender systems, and privacy-preserving technologies in data.

The scientist's publication record includes contributions to prestigious venues such as:

arXiv (Cornell University)
IEEE Transactions on Knowledge and Data Engineering
ACM Transactions on Information Systems
ACM Transactions on Intelligent Systems and Technology
World Wide Web

Significant recent papers authored by or involving Hongzhi Yin highlight their focus on recommendation systems and representation learning. These are:

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
Are Graph Augmentations Necessary?, 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation, 2022, Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
Self-Supervised Learning for Recommender Systems: A Survey, 2023, IEEE Transactions on Knowledge and Data Engineering

Frequent collaborators include:

Tong Chen (117 joint publications)
Quoc Viet Hung Nguyen (106)
Zi Huang (38)
Junliang Yu (34)
Lizhen Cui (30)

The scientist's work covers a wide range of research topics, such as:

Recommender Systems and Techniques
Advanced Graph Neural Networks
Topic Modeling
Privacy-Preserving Technologies in Data
Complex Network Analysis Techniques
Human Mobility and Location-Based Analysis
Caching and Content Delivery

In addition to journal and conference contributions, Hongzhi Yin has published books with Springer Science+Business Media. These titles focus on database systems, reflecting another dimension of their research interests.

Overall, Hongzhi Yin's research integrates methodologies from artificial intelligence and information systems to address challenges in recommender systems and graph-based learning, with outputs including both theoretical developments and practical applications.

Best Publications

Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation

Unknown

709
Citations
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

Xin Xia;Hongzhi Yin;Junliang Yu;Qinyong Wang

568
Citations
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation

Junliang Yu;Hongzhi Yin;Jundong Li;Qinyong Wang

491
Citations
LCARS: a location-content-aware recommender system

Hongzhi Yin;Yizhou Sun;Bin Cui;Zhiting Hu

428
Citations
Self-Supervised Learning for Recommender Systems: A Survey

Unknown

421
Citations
Learning Graph-based POI Embedding for Location-based Recommendation

Min Xie;Hongzhi Yin;Hao Wang;Fanjiang Xu

412
Citations
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks

Ruihong Qiu;Jingjing Li;Zi Huang;Hongzhi YIn

386
Citations
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection

Tong Chen;Xue Li;Hongzhi Yin;Jun Zhang

376
Citations
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation

Ke Sun;Tieyun Qian;Tong Chen;Yile Liang

363
Citations
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

Ruihong Qiu;Zi Huang;Hongzhi Yin;Zijian Wang

361
Citations
Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation

Hongzhi Yin;Weiqing Wang;Hao Wang;Ling Chen

303
Citations
Challenging the long tail recommendation

Hongzhi Yin;Bin Cui;Jing Li;Junjie Yao

274
Citations
Adapting to User Interest Drift for POI Recommendation

Hongzhi Yin;Xiaofang Zhou;Bin Cui;Hao Wang

274
Citations
LC-RNN: A deep learning model for traffic speed prediction

Zhongjian Lv;Jiajie Xu;Jiajie Xu;Kai Zheng;Hongzhi Yin

255
Citations
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

Unknown

239
Citations
PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction

Hongxu Chen;Hongzhi Yin;Weiqing Wang;Hao Wang

232
Citations
Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling

Yuandong Wang;Hongzhi Yin;Hongxu Chen;Tianyu Wo

228
Citations
Socially-Aware Self-Supervised Tri-Training for Recommendation

Junliang Yu;Hongzhi Yin;Min Gao;Xin Xia

217
Citations
Social Influence-Based Group Representation Learning for Group Recommendation

Hongzhi Yin;Qinyong Wang;Kai Zheng;Zhixu Li

198
Citations
Dynamic User Modeling in Social Media Systems

Hongzhi Yin;Bin Cui;Ling Chen;Zhiting Hu

189
Citations
Self-Supervised Graph Co-Training for Session-based Recommendation

Xin Xia;Hongzhi Yin;Junliang Yu;Yingxia Shao

189
Citations
Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation

Hongzhi Yin;Bin Cui;Xiaofang Zhou;Weiqing Wang

180
Citations
LCARS: A Spatial Item Recommender System

Hongzhi Yin;Bin Cui;Yizhou Sun;Zhiting Hu

175
Citations
A temporal context-aware model for user behavior modeling in social media systems

Hongzhi Yin;Bin Cui;Ling Chen;Zhiting Hu

173
Citations
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection

Tong Chen;Lin Wu;Xue Li;Jun Zhang

22
Citations

Frequent Co-Authors

Xiaofang Zhou Hong Kong University of Science and Technology

Zi Huang University of Queensland

Bin Cui Peking University

Xiangliang Zhang University of Notre Dame

Matthias Weidlich Humboldt-Universität zu Berlin

Xue Li University of Queensland

Shazia Sadiq University of Queensland

Jundong Li University of Virginia

Karl Aberer École Polytechnique Fédérale de Lausanne

Zhiting Hu University of California, San Diego

External Links

Personal website of Hongzhi Yin Google Scholar page

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