Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. - Penghang Yin; Shuai Zhang 009; Jiancheng Lyu; Stanley J. Osher; Yingyong Qi; Jack Xin (CoRR, 2018)

Median Binary-Connect Method and a Binary Convolutional Neural Nework for Word Recognition. - Spencer Sheen; Jiancheng Lyu (CoRR, 2018)

BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights. - Penghang Yin; Shuai Zhang 009; Jiancheng Lyu; Stanley J. Osher; Yingyong Qi; Jack Xin (SIAM J. Imaging Sci., 2018)

Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks. - Fanghui Xue; Jack Xin; Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi (AI4I, 2019)

Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method. - Biao Yang; Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi; Jack Xin (AI4I, 2019)

Median Binary-Connect Method and a Binary Convolutional Neural Network for Word Recognition. - Spencer Sheen; Jiancheng Lyu (DCC, 2019)

A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting. - Jiancheng Lyu; Spencer Sheen (ICCSAMA, 2019)

Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks. - Jiancheng Lyu; Jack Xin; Yifeng Yu (ICCSAMA, 2019)

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. - Penghang Yin; Jiancheng Lyu; Shuai Zhang 009; Stanley J. Osher; Yingyong Qi; Jack Xin (ICLR (Poster), 2019)

AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. - Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi; Jack Xin (KDD, 2020)

Dense Network Expansion for Class Incremental Learning. - Zhiyuan Hu; Yunsheng Li; Jiancheng Lyu; Dashan Gao 001; Nuno Vasconcelos (CVPR, 2023)

POP: Prompt Of Prompts for Continual Learning. - Zhiyuan Hu; Jiancheng Lyu; Dashan Gao 001; Nuno Vasconcelos (CoRR, 2023)

MobileInst: Video Instance Segmentation on the Mobile. - Renhong Zhang; Tianheng Cheng; Shusheng Yang; Haoyi Jiang; Shuai Zhang; Jiancheng Lyu; Xin Li 034; Xiaowen Ying; Dashan Gao 001; Wenyu Liu 001; Xinggang Wang (AAAI, 2024)

AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs. - Yunling Zheng; Zeyi Xu; Fanghui Xue; Biao Yang; Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi; Jack Xin (ISVC (1), 2024)

SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging. - Nhat Thanh Tran; Fanghui Xue; Shuai Zhang 009; Jiancheng Lyu; Yunling Zheng; Yingyong Qi; Jack Xin (CoRR, 2025)

EgoPrivacy: What Your First-Person Camera Says About You? - Yijiang Li; Genpei Zhang; Jiacheng Cheng; Yi Li 051; Xiaojun Shan; Dashan Gao 001; Jiancheng Lyu; Yuan Li; Ning Bi; Nuno Vasconcelos (CoRR, 2025)