Yinghua Yao

According to our database, Yinghua Yao authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

Auto-Clustering with Continuous Distribution Estimation on Centroids.

Yuangang Pan, Yinghua Yao, Atsushi Nitanda, Joey Tianyi Zhou, Ivor W. Tsang

Mach. Learn., April, 2026

VulReaD: Knowledge-Graph-guided Software Vulnerability Reasoning and Detection.

Samal Mukhtar, Yinghua Yao, Zhu Sun, Mustafa Mustafa, Yew Soon Ong, Youcheng Sun

CoRR, February, 2026

2025

Generalized Probabilistic Graphical Modeling for Multi-View Bipartite Graph Clustering.

Liang Li, Yuangang Pan, Yinghua Yao, Junpu Zhang, Moyun Liu, Xueling Zhu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li

IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

Alpha and Prejudice: Improving α-Sized Worst Case Fairness via Intrinsic Reweighting.

Jing Li, Yinghua Yao, Yuangang Pan, Xuanqian Wang, Ivor W. Tsang, Xiuju Fu

IEEE Trans. Neural Networks Learn. Syst., October, 2025

Generation With Nuanced Changes: Continuous Image-to-Image Translation With Adversarial Preferences.

Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao

IEEE Trans. Artif. Intell., April, 2025

Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space.

Yinghua Yao, Yuangang Pan, Xixian Chen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization.

Yuanyuan Chang, Yinghua Yao, Tao Qin, Mengmeng Wang, Ivor W. Tsang, Guang Dai

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

PROUD: PaRetO-gUided diffusion model for multi-objective generation.

Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

Mach. Learn., September, 2024

Sanitized clustering against confounding bias.

Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

Mach. Learn., June, 2024

Differential-Critic GAN: Generating What You Want by a Cue of Preferences.

Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao

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

Generative Adversarial Ranking Nets.

Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

J. Mach. Learn. Res., 2024

PC-X: Profound Clustering via Slow Exemplars.

Yuangang Pan, Yinghua Yao, Ivor W. Tsang

Proceedings of the Conference on Parsimony and Learning, 2024

2023

Earning Extra Performance From Restrictive Feedbacks.

Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Robust Deep Learning Models against Semantic-Preserving Adversarial Attack.

Yunce Zhao, Dashan Gao, Yinghua Yao, Zeqi Zhang, Bifei Mao, Xin Yao

Proceedings of the International Joint Conference on Neural Networks, 2023

2021

TRIP: Refining Image-to-Image Translation via Rival Preferences.

Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao

CoRR, 2021

2019

Support Matching: A Novel Regularization to Escape from Mode Collapse in GANs.

Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao

Proceedings of the Neural Information Processing - 26th International Conference, 2019