Mixup Augmentation for Deep Hashing. - Weida Cao; Futao Liu; Xiaomin Yin; Mingrui Chen 002; Weizhi Lu; Ran Song 001 (VSIP, 2021)

Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning. - Weizhi Lu; Mingrui Chen 002; Kai Guo; Weiyu Li (CoRR, 2021)

Ternary and Binary Quantization for Improved Classification. - Weizhi Lu; Mingrui Chen 002; Kai Guo; Weiyu Li (CoRR, 2022)

Quantization: Is It Possible to Improve Classification? - Weizhi Lu; Mingrui Chen 002; Kai Guo; Weiyu Li (DCC, 2023)

Cascaded Compressed Sensing Networks. - Weizhi Lu; Mingrui Chen 002; Kai Guo; Weiyu Li (IEEE Signal Process. Lett., 2023)

Collaborative Dictionary Learning for Compressed Sensing. - Weiyu Li; Weizhi Lu; Xijun Liang; Mingrui Chen 002; Kai Guo (IEEE Trans. Ind. Informatics, 2024)

The Sparse Matrix-Based Random Projection: A Study of Binary and Ternary Quantization. - Weizhi Lu; Zhongzheng Li; Mingrui Chen 002; Weiyu Li (Trans. Mach. Learn. Res., 2025)

The Binary and Ternary Quantization Can Improve Feature Discrimination. - Weizhi Lu; Mingrui Chen 002; Weiyu Li (CoRR, 2025)

Random Projection-Induced Gaussian Latent Features for Arbitrary Style Transfer. - Weizhi Lu; Zhongzheng Li; Dongchen Gao; Mingrui Chen 002; Weiyu Li; Jinglin Zhang; Wei Zhang (Trans. Mach. Learn. Res., 2026)