Jiahong Liu

According to our database, Jiahong Liu authored at least 29 papers between 2020 and 2026.

Collaborative distances:

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

2026

CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey.

Jindong Li, Yongguang Li, Yali Fu, Jiahong Liu, Yixin Liu, Menglin Yang, Irwin King

IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition.

Yanyu Chen, Jiyue Jiang, Dianzhi Yu, Zheng Wu, Jiahong Liu, Jiaming Han, Xiao Guo, Jinhu Qi, Yu Li, Yifei Zhang, Irwin King

CoRR, May, 2026

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security.

Jinhu Qi, Muzhi Li, Jiahong Liu, Yuqin Shu, Dianzhi Yu, Shicheng Ma, Wenqian Cui, Yiyang Zhao, Yiyi Chen, Ruoxi Jiang, Irwin King, Zenglin Xu

CoRR, May, 2026

Probability-Entropy Calibration: An Elastic Indicator for Adaptive Fine-tuning.

Wenhao Yu, Shaohang Wei, Jiahong Liu, Yifan Li, Minda Hu, Aiwei Liu, Hao Zhang, Irwin King

CoRR, February, 2026

HC-GLAD: Dual hyperbolic contrastive learning for unsupervised graph-level anomaly detection.

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

Neural Networks, 2026

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation.

Chunxu Zhang, Shanqiang Huang, Zijian Zhang, Jiahong Liu, Linsong Yu, Ruiqi Wan, Bo Yang, Irwin King

Proceedings of the ACM Web Conference 2026, 2026

Generative Archetype-Grounded Item Representations for Sequential Recommendation.

Yifan Li, Jiahong Liu, Xinni Zhang, Hao Chen, Yankai Chen, Wenhao Yu, Jianting Chen, Irwin King

Proceedings of the ACM Web Conference 2026, 2026

TRACE: Trajectory-Aware Comprehensive Evaluation for Deep Research Agents.

Yanyu Chen, Jiyue Jiang, Jiahong Liu, Yifei Zhang, Xiao Guo, Irwin King

Proceedings of the ACM Web Conference 2026, 2026

HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents.

Jinchang Zhu, Jindong Li, Cheng Zhang, Jiahong Liu, Menglin Yang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Implicit Reasoning in Large Language Models: A Comprehensive Survey.

Jindong Li, Yali Fu, Li Fan, Jiahong Liu, Yao Shu, Chengwei Qin, Menglin Yang, Irwin King, Rex Ying

CoRR, September, 2025

Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey.

Jindong Li, Yali Fu, Jiahong Liu, Linxiao Cao, Wei Ji, Menglin Yang, Irwin King, Ming-Hsuan Yang

CoRR, July, 2025

Towards Geometry Problem Solving in the Large Model Era: A Survey.

Yurui Zhao, Xiang Wang, Jiahong Liu, Irwin King, Zhitao Huang

CoRR, June, 2025

Position: Beyond Euclidean - Foundation Models Should Embrace Non-Euclidean Geometries.

Neil He, Jiahong Liu, Buze Zhang, Ngoc Bui, Ali Maatouk, Menglin Yang, Irwin King, Melanie Weber, Rex Ying

CoRR, April, 2025

A Survey of Personalized Large Language Models: Progress and Future Directions.

Jiahong Liu, Zexuan Qiu, Zhongyang Li, Quanyu Dai, Jieming Zhu, Minda Hu, Menglin Yang, Irwin King

CoRR, February, 2025

Low-Rank Adaptation for Foundation Models: A Comprehensive Review.

Menglin Yang, Jialin Chen, Yifei Zhang, Jiahong Liu, Jiasheng Zhang, Qiyao Ma, Harshit Verma, Qianru Zhang, Min Zhou, Irwin King, Rex Ying

CoRR, January, 2025

Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning.

Yifei Zhang, Hao Zhu, Menglin Yang, Jiahong Liu, Rex Ying, Irwin King, Piotr Koniusz

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation.

Meng Qin, Jiahong Liu, Irwin King

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

FinSIR: Financial SIR-GCN for Market-Aware Stock Recommendation.

Brian Godwin Lim, Jiahong Liu, Hans Jarett J. Ong, Jan Adrian Chan, Renzo Roel Tan, Irwin King, Kazushi Ikeda

Proceedings of the International Joint Conference on Neural Networks, 2025

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