Jingzhao Hu

According to our database, Jingzhao Hu authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

One-to-One or One-to-Many? Suggesting Extract Class Refactoring Opportunities with Intra-class Dependency Hypergraph Neural Network.

Di Cui, Qiangqiang Wang, Yutong Zhao, Jiaqi Wang, Minjie Wei, Jingzhao Hu, Luqiao Wang, Qingshan Li

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

2023

Speech Emotion Recognition Based on Low-Level Auto-Extracted Time-Frequency Features.

Ke Liu, Jingzhao Hu, Jun Feng

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

TransferSense: towards environment independent and one-shot wifi sensing.

Qirong Bu, Xingxia Ming, Jingzhao Hu, Tuo Zhang, Jun Feng, Jing Zhang

Pers. Ubiquitous Comput., 2022

BBW: a batch balance wrapper for training deep neural networks on extremely imbalanced datasets with few minority samples.

Jingzhao Hu, Hao Zhang, Yang Liu, Richard F. E. Sutcliffe, Jun Feng

Appl. Intell., 2022

Speech Emotion Recognition Based on Discriminative Features Extraction.

Ke Liu, Jingzhao Hu, Yutao Liu, Jun Feng

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

Classification of EEG Signals for Epileptic Seizures Using Feature Dimension Reduction Algorithm based on LPP.

Yang Liu, Bo Jiang, Jun Feng, Jingzhao Hu, Haibo Zhang

Multim. Tools Appl., 2021

ScalingNet: Extracting features from raw EEG data for emotion recognition.

Jingzhao Hu, Chen Wang, Qiaomei Jia, Qirong Bu, Richard F. E. Sutcliffe, Jun Feng

Neurocomputing, 2021

ScalingNet: extracting features from raw EEG data for emotion recognition.

Jingzhao Hu, Chen Wang, Qiaomei Jia, Qirong Bu, Jun Feng

CoRR, 2021

Lookup subnet based Spatial Graph Convolutional neural Network.

Jingzhao Hu, Xiaoqi Zhang, Qiaomei Jia, Chen Wang, Qirong Bu, Jun Feng

CoRR, 2021

EEG-Based Emotion Recognition Fusing Spacial-Frequency Domain Features and Data-Driven Spectrogram-Like Features.

Chen Wang, Jingzhao Hu, Ke Liu, Qiaomei Jia, Jiayue Chen, Kun Yang, Jun Feng

Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

2020

Feature Enhancement And Fusion For Image-Based Particle Matter Estimation With F-MSE Loss.

Xiaoyu Wang, Lei Zhang, Qirong Bo, Jun Feng, Jingzhao Hu, Yuxin Kang, Jing Zhang

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Causal Analysis of Learning Performance Based on a Bayesian Network and Mutual Information.

Jing Chen, Jun Feng, Jingzhao Hu, Xia Sun

Entropy, 2019