Yangfan Hu

According to our database, Yangfan Hu authored at least 16 papers between 2012 and 2026.

Collaborative distances:

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

2026

Understanding and Preserving Safety in Fine-Tuned LLMs.

Jiawen Zhang, Yangfan Hu, Kejia Chen, Lipeng He, Jiachen Ma, Jian Lou, Dan Li, Jian Liu, Xiaohu Yang, Ruoxi Jia

CoRR, January, 2026

AVM: Towards Structure-Preserving Neural Response Modeling in the Visual Cortex Across Stimuli and Individuals.

Qi Xu, Shuai Gong, Xuming Ran, Haihua Luo, Yangfan Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Assessment of Robustness of MRI Radiomic Features in the Abdomen: Impact of Deep Learning Reconstruction and Accelerated Acquisition.

Jingyu Zhong, Yue Xing, Yangfan Hu, Xianwei Liu, Shun Dai, Defang Ding, Junjie Lu, Jiarui Yang, Yang Song, Minda Lu, Dominik Nickel, Wenjie Lu, Huan Zhang, Weiwu Yao

J. Imaging Inform. Medicine, 2025

Ultra-High-Resolution Photon-Counting Detector CT Benefits Visualization of Abdominal Arteries: A Comparison to Standard-Reconstruction.

Huan Zhang, Yue Xing, Lingyun Wang, Yangfan Hu, Zhihan Xu, Haoda Chen, Junjie Lu, Jiarui Yang, Bei Ding, Weiguo Hu, Jingyu Zhong

J. Imaging Inform. Medicine, 2025

Photon-Counting Detector CT Allows Abdominal Virtual Monoenergetic Imaging at Lower Kiloelectron Volt Level with Lower Noise Using Lower Radiation Dose: A Prospective Matched Study Compared to Energy-Integrating Detector CT.

Huan Zhang, Yangfan Hu, Lingyun Wang, Yue Xing, Zhihan Xu, Junjie Lu, Jiarui Yang, Bei Ding, Fei Yuan, Jingyu Zhong

J. Imaging Inform. Medicine, 2025

2024

Deep learning image reconstruction generates thinner slice iodine maps with improved image quality to increase diagnostic acceptance and lesion conspicuity: a prospective study on abdominal dual-energy CT.

Jingyu Zhong, Lingyun Wang, Chao Yan, Yue Xing, Yangfan Hu, Defang Ding, Xiang Ge, Jianying Li, Wei Lu, Xiaomeng Shi, Fei Yuan, Weiwu Yao, Huan Zhang

BMC Medical Imaging, December, 2024

BitSNNs: Revisiting Energy-Efficient Spiking Neural Networks.

Yangfan Hu, Qian Zheng, Gang Pan

IEEE Trans. Cogn. Dev. Syst., October, 2024

Auroral Image Classification Based on Second-Order Convolutional Network and Channel Attention Awareness.

Yangfan Hu, Zeming Zhou, Pinglv Yang, Xiaofeng Zhao, Qian Li, Peng Zhang

Remote. Sens., September, 2024

Darkit: A User-Friendly Software Toolkit for Spiking Large Language Model.

Xin Du, Shifan Ye, Qian Zheng, Yangfan Hu, Rui Yan, Shunyu Qi, Shuyang Chen, Huajin Tang, Gang Pan, Shuiguang Deng

CoRR, 2024

Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions.

Yangfan Hu, Qian Zheng, Guoqi Li, Huajin Tang, Gang Pan

CoRR, 2024

2023

Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN.

Yangfan Hu, Qian Zheng, Xudong Jiang, Gang Pan

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Spiking Deep Residual Networks.

Yangfan Hu, Huajin Tang, Gang Pan

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Evaluation of Image Quality and Detectability of Deep Learning Image Reconstruction (DLIR) Algorithm in Single- and Dual-energy CT.

Jingyu Zhong, Hailin Shen, Yong Chen, Yihan Xia, Xiaomeng Shi, Wei Lu, Jianying Li, Yue Xing, Yangfan Hu, Xiang Ge, Defang Ding, Zhenming Jiang, Weiwu Yao

J. Digit. Imaging, August, 2023

2018

Spiking Deep Residual Network.

Yangfan Hu, Huajin Tang, Yueming Wang, Gang Pan

CoRR, 2018

2013

Identifying novel glioma associated pathways based on systems biology level meta-analysis.

Yangfan Hu, Jinquan Li, Wenying Yan, Jiajia Chen, Yin Li, Guang Hu, Bairong Shen

BMC Syst. Biol., 2013

2012

Identifying novel glioma associated pathways based on integrated 'omics' data.

Yangfan Hu, Jinquan Li, Jiajia Chen, Guang Hu, Bairong Shen

Proceedings of the 6th IEEE International Conference on Systems Biology, 2012