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Baisong Li
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2020 – today
- 2024
- [j2]Yunting Zhang
, Lin Ye, Zeshu Tian
UCTT: universal and low-cost adversarial example generation for tendency classification. Neural Comput. Appl. 36(22): 13865-13894 (2024) - [i2]Baisong Li, Xingwang Wang, Haixiao Xu:
HSR-KAN: Efficient Hyperspectral Image Super-Resolution via Kolmogorov-Arnold Networks. CoRR abs/2409.06705 (2024) - 2023
- [c4]Yunting Zhang
Robustness Evaluation of Cloud-Deployed Large Language Models against Chinese Adversarial Text Attacks. CloudNet 2023: 438-442 - [c3]Yue Wu, Lin Ye, Baisong Li, Hongli Zhang, Jing Cao:
Comparative Performance Analysis of Lightweight BERT-derived Models for Cybersecurity Corpus in Cloud Networks. CloudNet 2023: 443-447 - [i1]Baisong Li, Xingwang Wang, Haixiao Xu:
AWEQ: Post-Training Quantization with Activation-Weight Equalization for Large Language Models. CoRR abs/2311.01305 (2023) - 2022
- [c2]Baisong Li, Wenlong Tian, Ruixuan Li, Weijun Xiao, Zhongming Fu, Xuming Ye
Cross-domain Resemblance Detection based on Meta-learning for Cloud Storage. IPCCC 2022: 374-379 - 2020
- [j1]Songqiao Qi, Kaijun Jin, Baisong Li, Yufeng Qian
The exploration of internet finance by using neural network. J. Comput. Appl. Math. 369 (2020)
2010 – 2019
- 2018
- [c1]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:
City-Wide Influenza Forecasting based on Multi-Source Data. IEEE BigData 2018: 3930-3937
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last updated on 2024-10-14 23:30 CEST by the dblp team
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