Yinghua Gao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Gaussian Process

Top Venues

Pattern Recognit.

IEEE Trans. Artif. Intell.

Publications

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 (2024)
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) (2024)
Yinghua Gao, Yiming Li, Xueluan Gong, Shu-Tao Xia, Qian Wang
Backdoor Attack with Sparse and Invisible Trigger. CoRR (2023)
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 (2023)
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 (2022)
Yinghua Gao, Li Shen, Shu-Tao Xia
DAG-GAN: Causal Structure Learning with Generative Adversarial Nets. ICASSP (2021)
Naiqi Li, Yinghua Gao, Wenjie Li, Yong Jiang, Shu-Tao Xia
H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression. ICASSP (2021)
Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia
Generalized Local Aggregation for Large Scale Gaussian Process Regression. IJCNN (2020)
Naiqi Li, Wenjie Li, Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia
Stochastic Deep Gaussian Processes over Graphs. NeurIPS (2020)