Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees. - Panpan Qi; Wei Wang 059; Lei Zhu 015; See-Kiong Ng (CIKM, 2021)

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines. - Zhaojing Luo; Sai Ho Yeung; Meihui Zhang 001; Kaiping Zheng; Lei Zhu 015; Gang Chen 001; Feiyi Fan; Qian Lin 002; Kee Yuan Ngiam; Beng Chin Ooi (ICDE, 2021)

Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation. - Lei Zhu 015; Kaiyuan Yang 003; Meihui Zhang 001; Ling Ling Chan; Teck Khim Ng; Beng Chin Ooi (MICCAI (2), 2021)

Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal. - Lei Zhu 015; Zhaojing Luo; Wei Wang 059; Meihui Zhang 001; Gang Chen 001; Kaiping Zheng (ACM Multimedia, 2021)

BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation. - Wenqiao Zhang; Lei Zhu 015; James Hallinan; Shengyu Zhang 001; Andrew Makmur; Qingpeng Cai 002; Beng Chin Ooi (CVPR, 2022)

Deep Co-Training for Cross-Modality Medical Image Segmentation. - Lei Zhu 015; Ling Ling Chan; Teck Khim Ng; Meihui Zhang 001; Beng Chin Ooi (ECAI, 2023)