Jiahong Liu

According to our database, Jiahong Liu authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection.

Yali Fu, Jindong Li, Jiahong Liu, Qianli Xing, Qi Wang, Irwin King

CoRR, 2024

Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space.

Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying

CoRR, 2024

Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space.

Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval.

Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning.

Yifei Zhang, Hao Zhu, Jiahong Liu, Piotr Koniusz, Irwin King

CoRR, 2023

2022

CSPM: Discovering compressing stars in attributed graphs.

Jiahong Liu, Philippe Fournier-Viger, Min Zhou, Ganghuan He, Mourad Nouioua

Inf. Sci., 2022

Hyperbolic Graph Neural Networks: A Review of Methods and Applications.

Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King

CoRR, 2022

Enhancing Hyperbolic Graph Embeddings via Contrastive Learning.

Jiahong Liu, Menglin Yang, Min Zhou, Shanshan Feng, Philippe Fournier-Viger

CoRR, 2022

HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization.

Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

HICF: Hyperbolic Informative Collaborative Filtering.

Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Discovering Representative Attribute-stars via Minimum Description Length.

Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2020

Discovering Alarm Correlation Rules for Network Fault Management.

Philippe Fournier-Viger, Ganghuan He, Min Zhou, Mourad Nouioua, Jiahong Liu

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020