Baisong Li

According to our database, Baisong Li authored at least 18 papers between 2018 and 2026.

Collaborative distances:

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

2026

CoFusion: Multispectral and Hyperspectral Image Fusion via Spectral Coordinate Attention.

Baisong Li

CoRR, April, 2026

AdaptiveWordBug: Generating adversarial texts with an adaptive scoring strategy against deep learning classifiers.

Yunting Zhang, Lin Ye, Baisong Li, Hongli Zhang

Neural Networks, 2026

PIF-Net: Ill-Posed Prior Guided Multispectral and Hyperspectral Image Fusion via Invertible Mamba and Fusion-Aware LoRA.

Baisong Li, Xingwang Wang, Haixiao Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Chinese legal adversarial text generation based on interpretable perturbation strategies.

Yunting Zhang, Lin Ye, Shang Li, Yue Wu, Baisong Li, Hongli Zhang

World Wide Web (WWW), April, 2025

ChatGPT in threefold: As attacker, target, and evaluator in adversarial attacks.

Yunting Zhang, Lin Ye, Kai Tan, Zeshu Tian, Baisong Li, Hongli Zhang

Neurocomputing, 2025

EFSNet: Efficient Frequency Selective Network for Hyperspectral Image Super-Resolution.

Baisong Li, Xingwang Wang, Haixiao Xu

Proceedings of the International Joint Conference on Neural Networks, 2025

HSR-KAN: Efficient Hyperspectral Image Super-Resolution via Kolmogorov-Arnold Networks.

Baisong Li, Xingwang Wang, Haixiao Xu

Proceedings of the International Joint Conference on Neural Networks, 2025

HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-Resolution.

Baisong Li, Xingwang Wang, Haixiao Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

SSRMamba: Efficient Visual State Space Model for Spectral Super-Resolution.

Baisong Li, Xingwang Wang, Haixiao Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

KSSANet: KAN-Driven Spatial-Spectral Attention Networks for Hyperspectral Image Super-Resolution.

Baisong Li, Xingwang Wang, Haixiao Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multi-Modal Follow-Up Data-Guided Aggregated Representation for Predicting Gout Recurrence Risk.

Baisong Li, Ruohan Liu, Ling Zheng, Qian Wang, Xuegong Zhang, Hairong Lv

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

UCTT: universal and low-cost adversarial example generation for tendency classification.

Yunting Zhang, Lin Ye, Zeshu Tian, Zhe Chen, Hongli Zhang, Baisong Li, Binxing Fang

Neural Comput. Appl., August, 2024

2023

AWEQ: Post-Training Quantization with Activation-Weight Equalization for Large Language Models.

Baisong Li, Xingwang Wang, Haixiao Xu

CoRR, 2023

Robustness Evaluation of Cloud-Deployed Large Language Models against Chinese Adversarial Text Attacks.

Yunting Zhang, Lin Ye, Baisong Li, Hongli Zhang

Proceedings of the 12th IEEE International Conference on Cloud Networking, 2023

Comparative Performance Analysis of Lightweight BERT-derived Models for Cybersecurity Corpus in Cloud Networks.

Yue Wu, Lin Ye, Baisong Li, Hongli Zhang, Jing Cao

Proceedings of the 12th IEEE International Conference on Cloud Networking, 2023

2022

Cross-domain Resemblance Detection based on Meta-learning for Cloud Storage.

Baisong Li, Wenlong Tian, Ruixuan Li, Weijun Xiao, Zhongming Fu, Xuming Ye, Renjiao Duan, Yusheng Li, Zhiyong Xu

Proceedings of the IEEE International Performance, 2022

2020

The exploration of internet finance by using neural network.

Songqiao Qi, Kaijun Jin, Baisong Li, Yufeng Qian

J. Comput. Appl. Math., 2020

2018

City-Wide Influenza Forecasting based on Multi-Source Data.

Kun Su, Yu Xiong, Li Qi, Yu Xia, Baisong Li, Lin Yang, Qin Li, Wenge Tang, Xian Li, Xiaowen Ruan, Shaofeng Lu, Xianxian Chen, Chaobo Shen, Jiaying Xu, Liang Xu, Mei Han, Jing Xiao

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018