Jiahong Liu

Orcid: 0000-0002-8551-120X

Affiliations:
  • Harbin Institute of Technology, Shenzhen, China


According to our database1, Jiahong Liu authored at least 20 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey.
CoRR, July, 2025

Towards Geometry Problem Solving in the Large Model Era: A Survey.
CoRR, June, 2025

Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation.
CoRR, May, 2025

CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey.
CoRR, April, 2025

Position: Beyond Euclidean - Foundation Models Should Embrace Non-Euclidean Geometries.
CoRR, April, 2025

A Survey of Personalized Large Language Models: Progress and Future Directions.
CoRR, February, 2025

Low-Rank Adaptation for Foundation Models: A Comprehensive Review.
CoRR, January, 2025

Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection.
CoRR, 2024

Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space.
CoRR, 2024

Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning.
CoRR, 2023

2022
CSPM: Discovering compressing stars in attributed graphs.
Inf. Sci., 2022

Hyperbolic Graph Neural Networks: A Review of Methods and Applications.
CoRR, 2022

Enhancing Hyperbolic Graph Embeddings via Contrastive Learning.
CoRR, 2022

HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

HICF: Hyperbolic Informative Collaborative Filtering.
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.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2020
Discovering Alarm Correlation Rules for Network Fault Management.
Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020


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