Jiancheng Lyu

According to our database, Jiancheng Lyu authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MobileInst: Video Instance Segmentation on the Mobile.

Renhong Zhang, Tianheng Cheng, Shusheng Yang, Haoyi Jiang, Shuai Zhang, Jiancheng Lyu, Xin Li, Xiaowen Ying, Dashan Gao, Wenyu Liu, Xinggang Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

POP: Prompt Of Prompts for Continual Learning.

Zhiyuan Hu, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos

CoRR, 2023

Dense Network Expansion for Class Incremental Learning.

Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2020

AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks.

Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets.

Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin

Proceedings of the 7th International Conference on Learning Representations, 2019

Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks.

Jiancheng Lyu, Jack Xin, Yifeng Yu

Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2019

A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting.

Jiancheng Lyu, Spencer Sheen

Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2019

Median Binary-Connect Method and a Binary Convolutional Neural Network for Word Recognition.

Spencer Sheen, Jiancheng Lyu

Proceedings of the Data Compression Conference, 2019

Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method.

Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin

Proceedings of the Second International Conference on Artificial Intelligence for Industries, 2019

Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks.

Fanghui Xue, Jack Xin, Jiancheng Lyu, Shuai Zhang, Yingyong Qi

Proceedings of the Second International Conference on Artificial Intelligence for Industries, 2019

2018

BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights.

Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin

SIAM J. Imaging Sci., 2018

Median Binary-Connect Method and a Binary Convolutional Neural Nework for Word Recognition.

Spencer Sheen, Jiancheng Lyu

CoRR, 2018

Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks.

Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin

CoRR, 2018