Zobrazeno 1 - 10
of 256
pro vyhledávání: '"Zhou, Qilin"'
Sharpening deep learning models by training them with examples close to the decision boundary is a well-known best practice. Nonetheless, these models are still error-prone in producing predictions. In practice, the inference of the deep learning mod
Externí odkaz:
http://arxiv.org/abs/2407.14114
In the testing-retraining pipeline for enhancing the robustness property of deep learning (DL) models, many state-of-the-art robustness-oriented fuzzing techniques are metric-oriented. The pipeline generates adversarial examples as test cases via suc
Externí odkaz:
http://arxiv.org/abs/2407.12428
Patch robustness certification is an emerging kind of defense technique against adversarial patch attacks with provable guarantees. There are two research lines: certified recovery and certified detection. They aim to label malicious samples with pro
Externí odkaz:
http://arxiv.org/abs/2405.07668
Compared to Full-Model Fine-Tuning (FMFT), Parameter Efficient Fine-Tuning (PEFT) has demonstrated superior performance and lower computational overhead in several code understanding tasks, such as code summarization and code search. This advantage c
Externí odkaz:
http://arxiv.org/abs/2402.06247
Patch robustness certification ensures no patch within a given bound on a sample can manipulate a deep learning model to predict a different label. However, existing techniques cannot certify samples that cannot meet their strict bars at the classifi
Externí odkaz:
http://arxiv.org/abs/2308.00452
Publikováno v:
电力工程技术, Vol 43, Iss 4, Pp 253-261 (2024)
When the earth faults occur in different phases of two feeders connected to the same bus in the resonant grounding system, the conventional fault line selection devices are inaccurate. To address the difficulties of fault line selection in the earth
Externí odkaz:
https://doaj.org/article/789c91cca3744dc49633d7652d13282d
Autor:
Liu, Zhen1,2 (AUTHOR), Zhou, Qilin2 (AUTHOR), He, Liangge3 (AUTHOR), Liao, Zhengdong2 (AUTHOR), Cha, Yajing2 (AUTHOR), Zhao, Hongyu2 (AUTHOR), Zheng, Wenchao2 (AUTHOR), Lu, Desheng4 (AUTHOR), Yang, Sheng2 (AUTHOR) tobyys2000@aliyun.com
Publikováno v:
Reproductive Biology & Endocrinology. 8/19/2024, Vol. 22 Issue 1, p1-15. 15p.
Autor:
Guo, Xin1,2,3 (AUTHOR), Zhou, Qilin4,5 (AUTHOR), Lu, Yueying6 (AUTHOR), Xu, Zhexue4 (AUTHOR), Wen, Zhenye7 (AUTHOR), Gu, Ping1,2,3 (AUTHOR), Tian, Shujuan1,2,3 (AUTHOR) jtian72@126.com, Wang, Yuping2,3,4,8,9,10,11 (AUTHOR) doctorwangyuping@163.com
Publikováno v:
Brain & Behavior. Aug2024, Vol. 14 Issue 8, p1-8. 8p.
Publikováno v:
Main Group Metal Chemistry, Vol 25, Iss 11, Pp 663-668 (2002)
Externí odkaz:
https://doaj.org/article/6cb24ba0b9684282b488d838af96c027
Autor:
Jiang, Xianyuan1 (AUTHOR), Zhou, Qilin1 (AUTHOR), Lu, Yue1 (AUTHOR), Liang, Hao1 (AUTHOR), Li, Wenzhuo1 (AUTHOR), Wei, Qi1 (AUTHOR), Pan, Mengling1 (AUTHOR), Wen, Xin1 (AUTHOR), Wang, Xingzhi2 (AUTHOR), Zhou, Wei1 (AUTHOR), Yu, Danni1 (AUTHOR), Wang, Hao1 (AUTHOR), Yin, Ni3 (AUTHOR), Chen, Hao1 (AUTHOR), Li, Hansheng1 (AUTHOR), Pan, Ting1 (AUTHOR), Ma, Mingyu1 (AUTHOR), Liu, Gaoqi1 (AUTHOR), Zhou, Wenjia1 (AUTHOR), Su, Zhenhuang4 (AUTHOR)
Publikováno v:
National Science Review. May2024, Vol. 11 Issue 5, p1-10. 10p.