Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It. - Dayong Ye; Huiqiang Chen; Shuai Zhou 001; Tianqing Zhu; Wanlei Zhou 001; Shouling Ji (CoRR, 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)

Privacy and Fairness in Federated Learning: on the Perspective of Trade-off. - Huiqiang Chen; Tianqing Zhu; Tao Zhang 055; Wanlei Zhou 001; Philip S. Yu (CoRR, 2023)

Divide and Ensemble: Progressively Learning for the Unknown. - Hu Zhang 005; Xin Shen; Heming Du; Huiqiang Chen; Chen Liu 028; Hongwei Sheng; Qingzheng Xu; Wahiduzzaman Khan; Qingtao Yu; Tianqing Zhu; Scott Chapman; Zi Huang; et al. (CoRR, 2023)

MMOOC: A Multimodal Misinformation Dataset for Out-of-Context News Analysis. - Qingzheng Xu; Heming Du; Huiqiang Chen; Bo Liu 001; Xin Yu 002 (ACISP (3), 2024)

Machine Unlearning via Null Space Calibration. - Huiqiang Chen; Tianqing Zhu; Xin Yu 002; Wanlei Zhou 001 (IJCAI, 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 002 (NeurIPS, 2024)

M3A: A multimodal misinformation dataset for media authenticity analysis. - Qingzheng Xu; Huiqiang Chen; Heming Du; Hu Zhang 005; Szymon Lukasik; Tianqing Zhu; Xin Yu 002 (Comput. Vis. Image Underst., 2024)

Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff. - Huiqiang Chen; Tianqing Zhu; Tao Zhang 055; Wanlei Zhou 001; Philip S. Yu (ACM Comput. Surv., 2024)

Model Inversion Attack Against Transfer Learning: Inverting a Model Without Querying It. - Dayong Ye; Huiqiang Chen; Shuai Zhou 001; Tianqing Zhu; Wanlei Zhou 001; Shouling Ji (IEEE Trans. Dependable Secur. Comput., 2025)

Safe and Reliable Diffusion Models via Subspace Projection. - Huiqiang Chen; Tianqing Zhu; Linlin Wang; Xin Yu 002; Longxiang Gao; Wanlei Zhou 001 (CoRR, 2025)

Fine-Tuning a Biased Model for Improving Fairness. - Huiqiang Chen; Tianqing Zhu; Bo Liu 001; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Big Data, 2025)

Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation. - Huiqiang Chen; Tianqing Zhu; Xin Yu 002; Wanlei Zhou 001 (CoRR, 2025)

AFed: Algorithmic Fair Federated Learning. - Huiqiang Chen; Tianqing Zhu; Wanlei Zhou 001; Wei Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)