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2020 – today
- 2024
[j2]Ya Zhou, Shaopeng Fu:
Low-carbon building evaluation index system based on hierarchical analysis method. J. Comput. Methods Sci. Eng. 24(2): 879-890 (2024)- [c3]Shaopeng Fu, Di Wang:
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach. ICLR 2024 - [i7]Shaopeng Fu, Xuexue Sun, Ke Qing, Tianhang Zheng, Di Wang:
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services. CoRR abs/2408.02814 (2024) - 2023
- [i6]Shaopeng Fu, Di Wang:
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach. CoRR abs/2310.06112 (2023) - 2022
- [c2]Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao:
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning. ICLR 2022 - [c1]Shaopeng Fu, Fengxiang He, Dacheng Tao:
Knowledge Removal in Sampling-based Bayesian Inference. ICLR 2022 - [i5]Shaopeng Fu, Fengxiang He, Dacheng Tao:
Knowledge Removal in Sampling-based Bayesian Inference. CoRR abs/2203.12964 (2022) - [i4]Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao:
Robust Unlearnable Examples: Protecting Data Against Adversarial Learning. CoRR abs/2203.14533 (2022) - 2021
- [j1]Zeke Xie
, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama:
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. Neural Comput. 33(8): 2163-2192 (2021) - [i3]Shaopeng Fu, Fengxiang He, Yue Xu, Dacheng Tao:
Bayesian Inference Forgetting. CoRR abs/2101.06417 (2021) - 2020
- [i2]Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama:
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. CoRR abs/2011.06220 (2020) - [i1]Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao:
Robustness, Privacy, and Generalization of Adversarial Training. CoRR abs/2012.13573 (2020)
Coauthor Index
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