Jialiang Tang

Search-and-Train: Two-Stage Model Compression and Acceleration

Jinjia Zhou, Ning Jiang, Wenxin Yu, 2020, ICONIP.

Customizable GAN: Customizable Image Synthesis Based on Adversarial Learning

Jinjia Zhou, Ning Jiang, Siyuan Li, 2020, ICONIP.

Spatial and Channel Dimensions Attention Feature Transfer for Better Convolutional Neural Networks

Ning Jiang, Wenxin Yu, Jialiang Tang, 2021, 2021 IEEE International Symposium on Circuits and Systems (ISCAS).

Gradient Local Binary Pattern Layer to Initialize the Convolutional Neural Networks

Jinjia Zhou, Ning Jiang, Wenxin Yu, 2021, 2021 IEEE International Symposium on Circuits and Systems (ISCAS).

The Detection of Attentive Mental State Using a Mixed Neural Network Model

Yangsong Zhang, Huan Cai, Jialiang Tang, 2021, 2021 IEEE International Symposium on Circuits and Systems (ISCAS).

Knowledge Distillation Based on Positive-Unlabeled Classification and Attention Mechanism

Jinjia Zhou, Ning Jiang, Wenxin Yu, 2021, 2021 IEEE International Symposium on Circuits and Systems (ISCAS).

Data-Free Network Pruning for Model Compression

Jinjia Zhou, Ning Jiang, Wenxin Yu, 2021, 2021 IEEE International Symposium on Circuits and Systems (ISCAS).