Xinyi Fang

According to our database, Xinyi Fang authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

ED-SAM: Sharpness-aware minimization with energy-adjusted perturbations and direction-corrected updates.

Hailiang Ye, Xinyi Fang, Ming Li, Feilong Cao

Neural Networks, 2026

Which domain fits best? domain similarity measures for two-step heterogeneous transfer learning for early laryngeal cancer diagnosis.

Xinyi Fang, Yuqi Luo, Kei Long Wong, Benjamin K. Ng, Chan-Tong Lam, Marco Simões

Knowl. Based Syst., 2026

Causal Effects of Flooding on Urban Transport Resilience: A Double Machine Learning Approach With Satellite-Derived Flood Maps.

Xinyi Fang, Linjun Lu, Poly Z. H. Sun

IEEE Internet Things J., 2026

2025

Synergizing chemical and AI communities for advancing laboratories of the future.

Saejin Oh, Xinyi Fang, I-Hsin Lin, Paris Dee, Christopher S. Dunham, Stacy M. Copp, Abigail G. Doyle, Javier Read de Alaniz, Mengyang Gu

CoRR, October, 2025

Evaluating Dynamic Accessibility of Transportation Network Under Extreme Rainfall and Flooding: An Integrated Framework.

Xinyi Fang, Linjun Lu, Yilin Hong, Poly Z. H. Sun

IEEE Internet Things J., September, 2025

Category-wise Fine-Tuning: Resisting incorrect pseudo-labels in multi-label image classification with partial labels.

Chak Fong Chong, Xinyi Fang, Jielong Guo, Pedro Henriques Abreu, Yapeng Wang, Xu Yang, Wei Ke, Sio-Kei Im

Neurocomputing, 2025

An algorithm for improving lower bounds in dynamic time warping.

Yuqi Luo, Xinyi Fang, Wei Ke, Chan-Tong Lam, Sio Kei Im, Luís Paquete

Expert Syst. Appl., 2025

LLM Profiling and Fine-Tuning with Limited Neighbor Information for Node Classification on Text-Attributed Graphs.

Xinyi Fang, Kyumin Lee, Yichuan Li

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Analysis of the Two-Step Heterogeneous Transfer Learning for Laryngeal Blood Vessel Classification: Issue and Improvement.

Xinyi Fang, Chak Fong Chong, Kei Long Wong, Yapeng Wang, Wei Ke, Tiankui Zhang, Sio Kei Im

CoRR, 2024

Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels.

Chak Fong Chong, Xinyi Fang, Jielong Guo, Yapeng Wang, Wei Ke, Chan-Tong Lam, Sio Kei Im

CoRR, 2024

2023

On the Correlations between Performance of Deep Networks and Its Robustness to Common Image Perturbations in Medical Image Interpretation.

Chak Fong Chong, Xinyi Fang, Xu Yang, Wuman Luo, Yapeng Wang

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023