Huiqiang Chen

According to our database, Huiqiang Chen authored at least 14 papers between 2022 and 2025.

Collaborative distances:

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

2025

AFed: Algorithmic Fair Federated Learning.

Huiqiang Chen, Tianqing Zhu, Wanlei Zhou, Wei Zhao

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

Fine-Tuning a Biased Model for Improving Fairness.

Huiqiang Chen, Tianqing Zhu, Bo Liu, Wanlei Zhou, Philip S. Yu

IEEE Trans. Big Data, June, 2025

Safe and Reliable Diffusion Models via Subspace Projection.

Huiqiang Chen, Tianqing Zhu, Linlin Wang, Xin Yu, Longxiang Gao, Wanlei Zhou

CoRR, March, 2025

Model Inversion Attack Against Transfer Learning: Inverting a Model Without Querying It.

Dayong Ye, Huiqiang Chen, Shuai Zhou, Tianqing Zhu, Wanlei Zhou, Shouling Ji

IEEE Trans. Dependable Secur. Comput., 2025

Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation.

Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou

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

2024

Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff.

Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu

ACM Comput. Surv., February, 2024

M3A: A multimodal misinformation dataset for media authenticity analysis.

Qingzheng Xu, Huiqiang Chen, Heming Du, Hu Zhang, Szymon Lukasik, Tianqing Zhu, Xin Yu

Comput. Vis. Image Underst., 2024

MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset.

Xin Shen, Heming Du, Hongwei Sheng, Shuyun Wang, Hui Chen, Huiqiang Chen, Zhuojie Wu, Xiaobiao Du, Jiaying Ying, Ruihan Lu, Qingzheng Xu, Xin Yu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Machine Unlearning via Null Space Calibration.

Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MMOOC: A Multimodal Misinformation Dataset for Out-of-Context News Analysis.

Qingzheng Xu, Heming Du, Huiqiang Chen, Bo Liu, Xin Yu

Proceedings of the Information Security and Privacy - 29th Australasian Conference, 2024

2023

Divide and Ensemble: Progressively Learning for the Unknown.

Hu Zhang, Xin Shen, Heming Du, Huiqiang Chen, Chen Liu, Hongwei Sheng, Qingzheng Xu, Wahiduzzaman Khan, Qingtao Yu, Tianqing Zhu, Scott Chapman, Zi Huang, Xin Yu

CoRR, 2023

Privacy and Fairness in Federated Learning: on the Perspective of Trade-off.

Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu

CoRR, 2023

2022

Influence of alternating electric field on crystallization of tunnel drainage pipes-based on indoor orthogonal test.

Jiarui Zhang, Bo Wang, Shiyang Liu, Xinghong Zhong, Huiqiang Chen

J. Comput. Methods Sci. Eng., 2022

Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It.

Dayong Ye, Huiqiang Chen, Shuai Zhou, Tianqing Zhu, Wanlei Zhou, Shouling Ji

CoRR, 2022