Dense CNN Learning with Equivalent Mappings. - Jianxin Wu 001; Chen-Wei Xie; Jian-Hao Luo (CoRR, 2016)

ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression. - Jian-Hao Luo; Jianxin Wu 001; Weiyao Lin (ICCV, 2017)

In Defense of Fully Connected Layers in Visual Representation Transfer. - Chen-Lin Zhang; Jian-Hao Luo; Xiu-Shen Wei; Jianxin Wu 001 (PCM (2), 2017)

An Entropy-based Pruning Method for CNN Compression. - Jian-Hao Luo; Jianxin Wu 001 (CoRR, 2017)

Image categorization with resource constraints: introduction, challenges and advances. - Jian-Hao Luo; Wang Zhou; Jianxin Wu 001 (Frontiers Comput. Sci., 2017)

Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval. - Xiu-Shen Wei; Jian-Hao Luo; Jianxin Wu 001; Zhi-Hua Zhou (IEEE Trans. Image Process., 2017)

Learning Effective Binary Visual Representations with Deep Networks. - Jianxin Wu 001; Jian-Hao Luo (CoRR, 2018)

ThiNet: Pruning CNN Filters for a Thinner Net. - Jian-Hao Luo; Hao Zhang 038; Hong-Yu Zhou; Chen-Wei Xie; Jianxin Wu 001; Weiyao Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Fast SRC using quadratic optimisation in downsized coefficient solution subspace. - Xiaoning Song; Guosheng Hu; Jian-Hao Luo; Zhenhua Feng 001; Dong-Jun Yu; Xiao-Jun Wu 001 (Signal Process., 2019)

Neural Network Pruning With Residual-Connections and Limited-Data. - Jian-Hao Luo; Jianxin Wu 001 (CVPR, 2020)

AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference. - Jian-Hao Luo; Jianxin Wu 001 (Pattern Recognit., 2020)