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Journal Articles
- 2024
[j4]Naiqi Li
, Wenjie Li, Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia:
Node-Level Graph Regression With Deep Gaussian Process Models. IEEE Trans. Artif. Intell. 5(6): 3257-3269 (2024)- [j3]Yinghua Gao, Yiming Li, Xueluan Gong, Zhifeng Li, Shu-Tao Xia, Qian Wang:
Backdoor Attack With Sparse and Invisible Trigger. IEEE Trans. Inf. Forensics Secur. 19: 6364-6376 (2024) - [j2]Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama:
On the Effectiveness of Adversarial Training Against Backdoor Attacks. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14878-14888 (2024) - 2023
- [j1]Yinghua Gao, Yiming Li, Linghui Zhu, Dongxian Wu, Yong Jiang, Shu-Tao Xia:
Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks. Pattern Recognit. 139: 109512 (2023)
Conference and Workshop Papers
- 2021
- [c4]Naiqi Li, Yinghua Gao, Wenjie Li, Yong Jiang, Shu-Tao Xia:
H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression. ICASSP 2021: 2955-2959 - [c3]Yinghua Gao, Li Shen, Shu-Tao Xia:
DAG-GAN: Causal Structure Learning with Generative Adversarial Nets. ICASSP 2021: 3320-3324 - 2020
- [c2]Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia:
Generalized Local Aggregation for Large Scale Gaussian Process Regression. IJCNN 2020: 1-8 - [c1]Naiqi Li, Wenjie Li, Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia:
Stochastic Deep Gaussian Processes over Graphs. NeurIPS 2020
Informal and Other Publications
- 2023
- [i2]Yinghua Gao, Yiming Li, Xueluan Gong, Shu-Tao Xia, Qian Wang:
Backdoor Attack with Sparse and Invisible Trigger. CoRR abs/2306.06209 (2023) - 2022
- [i1]Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama:
On the Effectiveness of Adversarial Training against Backdoor Attacks. CoRR abs/2202.10627 (2022)
Coauthor Index
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