Yinghua Gao

According to our database, Yinghua Gao authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

On the Effectiveness of Adversarial Training Against Backdoor Attacks.

Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Node-Level Graph Regression With Deep Gaussian Process Models.

Naiqi Li, Wenjie Li, Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia

IEEE Trans. Artif. Intell., June, 2024

Backdoor Attack With Sparse and Invisible Trigger.

Yinghua Gao, Yiming Li, Xueluan Gong, Zhifeng Li, Shu-Tao Xia, Qian Wang

IEEE Trans. Inf. Forensics Secur., 2024

2023

Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks.

Yinghua Gao, Yiming Li, Linghui Zhu, Dongxian Wu, Yong Jiang, Shu-Tao Xia

Pattern Recognit., July, 2023

Backdoor Attack with Sparse and Invisible Trigger.

Yinghua Gao, Yiming Li, Xueluan Gong, Shu-Tao Xia, Qian Wang

CoRR, 2023

2021

H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression.

Naiqi Li, Yinghua Gao, Wenjie Li, Yong Jiang, Shu-Tao Xia

Proceedings of the IEEE International Conference on Acoustics, 2021

DAG-GAN: Causal Structure Learning with Generative Adversarial Nets.

Yinghua Gao, Li Shen, Shu-Tao Xia

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Stochastic Deep Gaussian Processes over Graphs.

Naiqi Li, Wenjie Li, Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generalized Local Aggregation for Large Scale Gaussian Process Regression.

Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020