# Hongzhi Yin

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/hongzhi-yin/

## Facts

| Field | Value |
| --- | --- |
| Citations | 18,680 |
| Field | Recommender Systems and Techniques |
| h-index | 73 |
| i10-index | 257 |
| Last Known Institution | Queensland University of Technology |
| OpenAlex ID | https://openalex.org/A5088492734 |
| ORCID iD | https://orcid.org/0000-0003-1395-261X |
| Works | 621 |

## Researcher papers

- [Are Graph Augmentations Necessary?](https://scholariq.org/papers/are-graph-augmentations-necessary/)
- [Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation](https://scholariq.org/papers/self-supervised-multi-channel-hypergraph-convolutional-network-for-social/)
- [Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation](https://scholariq.org/papers/where-to-go-next-modeling-long-and-short-term-user-preferences-for-point-of/)
- [Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection](https://scholariq.org/papers/call-attention-to-rumors-deep-attention-based-recurrent-neural-networks-for/)
- [XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation](https://scholariq.org/papers/xsimgcl-towards-extremely-simple-graph-contrastive-learning-for-recommendation/)
- [LC-RNN: A Deep Learning Model for Traffic Speed Prediction](https://scholariq.org/papers/lc-rnn-a-deep-learning-model-for-traffic-speed-prediction/)
- [Adapting to User Interest Drift for POI Recommendation](https://scholariq.org/papers/adapting-to-user-interest-drift-for-poi-recommendation/)
- [Socially-Aware Self-Supervised Tri-Training for Recommendation](https://scholariq.org/papers/socially-aware-self-supervised-tri-training-for-recommendation/)
- [PME](https://scholariq.org/papers/pme/)
- [Streaming Session-based Recommendation](https://scholariq.org/papers/streaming-session-based-recommendation/)

## Researcher topics

- [Recommender Systems and Techniques](https://scholariq.org/topics/recommender-systems-and-techniques/)
- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling-2/)
- [Human Mobility and Location-Based Analysis](https://scholariq.org/topics/human-mobility-and-location-based-analysis/)
- [Complex Network Analysis Techniques](https://scholariq.org/topics/complex-network-analysis-techniques/)

## Researcher university

- [Queensland University of Technology](https://scholariq.org/institutions/queensland-university-of-technology/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.