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Jiahong Liu

7 accepted papers

2026

FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space

ICML 2026oral

Personalization has become a pivotal field of study in contemporary intelligent systems. While large language models (LLMs) excel at general knowledge tasks, they often struggle with personalization, i.e., adapting their outputs to individual user expectations. Existing approaches that steer LLM beh…

Cited by 0SourceScholar
2026

Hyperbolic Multimodal Continual Learning

ICML 2026poster

Hyperbolic geometry has recently emerged as a powerful representation space for multimodal learning, as it naturally captures hierarchical semantic structure across modalities. Despite this progress, how such representations behave under continual learning poses fundamentally different challenges th…

Cited by 0SourceScholar
2026

PerFit: Exploring Personalization Shifts in Representation Space of LLMs

ICLR 2026poster

Personalization has become a pivotal field of study in contemporary intelligent systems. While large language models (LLMs) excel at general knowledge tasks, they often struggle with personalization, i.e., adapting their outputs to individual user expectations. Existing approaches that steer LLM beh…

Cited by 0SourceScholar
2026

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

ICML 2026poster

Token-level reweighting is a simple yet effective mechanism for controlling supervised fine-tuning, but common indicators are largely one-dimensional: the ground-truth probability reflects downstream alignment, while token entropy reflects intrinsic uncertainty induced by the pre-training prior. Ign…

Cited by 0SourceScholar
2025

Hyperbolic Fine-Tuning for Large Language Models

NeurIPS 2025spotlight

Large language models (LLMs) have demonstrated remarkable performance on various tasks. However, it remains an open question whether the default Euclidean space is the most suitable choice for embedding tokens in LLMs. In this study, we investigate the non-Euclidean characteristics of LLMs. O…

Cited by 0SourcecodeScholar
2024

HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval

AAAI 2024technical

Existing unsupervised deep product quantization methods primarily aim for the increased similarity between different views of the identical image, whereas the delicate multi-level semantic similarities preserved between images are overlooked. Moreover, these methods predominantly focus on the Euclid…

2019

Constrained Heterogeneous Vehicle Path Planning for Large-area Coverage

IROS 2019poster

There is a strong demand for covering a large area autonomously by multiple UAVs (Unmanned Aerial Vehicles) supported by a ground vehicle. Limited by UAVs' battery life and communication distance, complete coverage of large areas typically involves multiple take-offs and landings to recharge batteri…

Cited by 22SourceScholar