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2020 – today
- 2024
[c9]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: 7260-7268- [i11]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 abs/2407.12217 (2024) - 2023
- [c8]Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos
:
Dense Network Expansion for Class Incremental Learning. CVPR 2023: 11858-11867 - [i10]Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos:
Dense Network Expansion for Class Incremental Learning. CoRR abs/2303.12696 (2023) - [i9]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 abs/2303.17594 (2023) - [i8]Zhiyuan Hu, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos:
POP: Prompt Of Prompts for Continual Learning. CoRR abs/2306.08200 (2023) - 2020
- [c7]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: 608-616
2010 – 2019
- 2019
- [c6]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: 89-90 - [c5]Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin:
Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method. AI4I 2019: 97-98 - [c4]Spencer Sheen, Jiancheng Lyu:
Median Binary-Connect Method and a Binary Convolutional Neural Network for Word Recognition. DCC 2019: 604 - [c3]Jiancheng Lyu, Spencer Sheen:
A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting. ICCSAMA 2019: 243-254 - [c2]Jiancheng Lyu, Jack Xin, Yifeng Yu:
Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks. ICCSAMA 2019: 279-290 - [c1]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 - [i7]Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin:
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. CoRR abs/1901.08624 (2019) - [i6]Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin:
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. CoRR abs/1903.05662 (2019) - [i5]Jiancheng Lyu, Spencer Sheen:
A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting. CoRR abs/1909.05623 (2019) - [i4]Jiancheng Lyu, Jack Xin, Yifeng Yu:
Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks. CoRR abs/1910.00403 (2019) - 2018
- [j1]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): 2205-2223 (2018) - [i3]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 abs/1801.06313 (2018) - [i2]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 abs/1808.05240 (2018) - [i1]Spencer Sheen, Jiancheng Lyu:
Median Binary-Connect Method and a Binary Convolutional Neural Nework for Word Recognition. CoRR abs/1811.02784 (2018)
Coauthor Index
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