Jiancheng Lyu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Temporal Segmentation

Word Recognition

Synaptic Weights

Top Venues

Publications

Renhong Zhang, Tianheng Cheng, Shusheng Yang, Haoyi Jiang, Shuai Zhang, Jiancheng Lyu, Xin Li, Xiaowen Ying, Dashan Gao, Wenyu Liu, Xinggang Wang
MobileInst: Video Instance Segmentation on the Mobile. AAAI (2024)
Yunling Zheng, Zeyi Xu, Fanghui Xue, Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs. CoRR (2024)
Zhiyuan Hu, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos
POP: Prompt Of Prompts for Continual Learning. CoRR (2023)
Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos
Dense Network Expansion for Class Incremental Learning. CVPR (2023)
Renhong Zhang, Tianheng Cheng, Shusheng Yang, Haoyi Jiang, Shuai Zhang, Jiancheng Lyu, Xin Li, Xiaowen Ying, Dashan Gao, Wenyu Liu, Xinggang Wang
MobileInst: Video Instance Segmentation on the Mobile. CoRR (2023)
Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos
Dense Network Expansion for Class Incremental Learning. CoRR (2023)
Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. KDD (2020)
Jiancheng Lyu, Jack Xin, Yifeng Yu
Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks. CoRR (2019)
Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. ICLR (Poster) (2019)
Spencer Sheen, Jiancheng Lyu
Median Binary-Connect Method and a Binary Convolutional Neural Network for Word Recognition. DCC (2019)
Fanghui Xue, Jack Xin, Jiancheng Lyu, Shuai Zhang, Yingyong Qi
Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks. AI4I (2019)
Jiancheng Lyu, Spencer Sheen
A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting. CoRR (2019)
Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method. AI4I (2019)
Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. CoRR (2019)
Jiancheng Lyu, Spencer Sheen
A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting. ICCSAMA (2019)
Jiancheng Lyu, Jack Xin, Yifeng Yu
Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks. ICCSAMA (2019)
Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. CoRR (2019)
Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights. CoRR (2018)
Spencer Sheen, Jiancheng Lyu
Median Binary-Connect Method and a Binary Convolutional Neural Nework for Word Recognition. CoRR (2018)
Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights. SIAM J. Imaging Sci. 11 (4) (2018)
Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. CoRR (2018)