A progressive segmentation with weight contrast label enhancement for weakly supervised video salient object detection. - Zelin Lu; Haoran Liang 001; Binwei Xu; Ronghua Liang (IET Image Process., 2023)

Towards Finding the Sources of Polymorphism in Polymorphic Gates (Invited). - Timothy Dunlap; Zelin Lu; Gang Qu 001 (ASPDAC, 2024)

Non-destructive detection and grading of chilling injury-induced lignification of kiwifruit using X-ray computer tomography and machine learning. - Jiahua Wang; Yuqing Lin; Qiaocong Li; Zelin Lu; Jiangjin Qian; Huang Dai; Fuwei Pi; Xiaodan Liu; Yong He (Comput. Electron. Agric., 2024)

ML-EMFI: A Machine Learning-Driven Pre-Silicon Electromagnetic Fault Injection Security Evaluation for Robust IC Design. - Pantha Protim Sarker; Tianze Kan; Jingchen Liang; Ozgur Tuncer; Bo He; Zelin Lu; Sudarshan Mallu; Lang Lin; Norman Chang; Rikuu Hasegawa; Kazuki Monta; Makoto Nagata; et al. (HOST, 2025)

Semantic-aware representations for unsupervised Camouflaged Object Detection. - Zelin Lu; Xing Zhao 001; Liang Xie 003; Haoran Liang 001; Ronghua Liang (J. Vis. Commun. Image Represent., 2025)

A Weakly-Supervised Cross-Domain Query Framework for Video Camouflage Object Detection. - Zelin Lu; Liang Xie 003; Xing Zhao 001; Binwei Xu; Haoran Liang 001; Ronghua Liang (IEEE Trans. Circuits Syst. Video Technol., 2025)