Improving the Efficiency and Robustness of Deepfakes Detection Through Precise Geometric Features. - Zekun Sun; Yujie Han; Zeyu Hua; Na Ruan; Weijia Jia 001 (CVPR, 2021)

Curious Objects: How Visual Complexity Guides Attention and Engagement. - Zekun Sun; Chaz Firestone (Cogn. Sci., 2021)

An inter-cell resource usage analysis of large-scale datacentre trace logs. - Zekun Sun; John Panneerselvam; Lu Liu 001; Yao Lu; Wan Tang (UCC, 2022)

Fool Attackers by Imperceptible Noise: A Privacy-Preserving Adversarial Representation Mechanism for Collaborative Learning. - Na Ruan; Jikun Chen; Tu Huang; Zekun Sun; Jie Li 002 (IEEE Trans. Mob. Comput., 2024)

LMSR: A Low-Jitter Multiple Slots Routing Algorithm in LEO Satellite Networks. - Shiran Sun; Ran Zhang 004; Kai Liu; Zekun Sun; Qinqin Tang; Tao Huang 005 (WCNC, 2025)

PINE: Local patch reweighting and mixed independent neural encoder for datacentre workload prediction. - Haowen Zheng; Yao Lu; Lu Liu 001; Zekun Sun; John Panneerselvam; Xiang Sun (Neurocomputing, 2025)

DDL: Effective and Comprehensible Interpretation Framework for Diverse Deepfake Detectors. - Zekun Sun; Na Ruan; Jianhua Li 001 (IEEE Trans. Inf. Forensics Secur., 2025)

GANK: Dynamic Geometric and Appearance Features for Efficient and Robust Detection of Face Forgery. - Zekun Sun; Na Ruan (ACM Trans. Multim. Comput. Commun. Appl., 2025)