Causal Analysis of Learning Performance Based on a Bayesian Network and Mutual Information. - Jing Chen; Jun Feng 003; Jingzhao Hu; Xia Sun (Entropy, 2019)

Feature Enhancement And Fusion For Image-Based Particle Matter Estimation With F-MSE Loss. - Xiaoyu Wang; Lei Zhang; Qirong Bo; Jun Feng 003; Jingzhao Hu; Yuxin Kang; Jing Zhang (ICIP, 2020)

EEG-Based Emotion Recognition Fusing Spacial-Frequency Domain Features and Data-Driven Spectrogram-Like Features. - Chen Wang 093; Jingzhao Hu; Ke Liu; Qiaomei Jia; Jiayue Chen; Kun Yang 001; Jun Feng 003 (ISBRA, 2021)

Lookup subnet based Spatial Graph Convolutional neural Network. - Jingzhao Hu; Xiaoqi Zhang; Qiaomei Jia; Chen Wang 093; Qirong Bu; Jun Feng 003 (CoRR, 2021)

ScalingNet: extracting features from raw EEG data for emotion recognition. - Jingzhao Hu; Chen Wang 093; Qiaomei Jia; Qirong Bu; Jun Feng 003 (CoRR, 2021)

ScalingNet: Extracting features from raw EEG data for emotion recognition. - Jingzhao Hu; Chen Wang 093; Qiaomei Jia; Qirong Bu; Richard F. E. Sutcliffe; Jun Feng 003 (Neurocomputing, 2021)

Classification of EEG Signals for Epileptic Seizures Using Feature Dimension Reduction Algorithm based on LPP. - Yang Liu; Bo Jiang; Jun Feng 003; Jingzhao Hu; Haibo Zhang (Multim. Tools Appl., 2021)

Speech Emotion Recognition Based on Discriminative Features Extraction. - Ke Liu; Jingzhao Hu; Yutao Liu; Jun Feng (ICME, 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 003 (Appl. Intell., 2022)

TransferSense: towards environment independent and one-shot wifi sensing. - Qirong Bu; Xingxia Ming; Jingzhao Hu; Tuo Zhang; Jun Feng 003; Jing Zhang (Pers. Ubiquitous Comput., 2022)

Speech Emotion Recognition Based on Low-Level Auto-Extracted Time-Frequency Features. - Ke Liu; Jingzhao Hu; Jun Feng 003 (ICASSP, 2023)

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 (ISSTA, 2024)

Three Heads Are Better Than One: Suggesting Move Method Refactoring Opportunities with Inter-class Code Entity Dependency Enhanced Hybrid Hypergraph Neural Network. - Di Cui; Jiaqi Wang; Qiangqiang Wang; Peng Ji; Minglang Qiao; Yutong Zhao; Jingzhao Hu; Luqiao Wang; Qingshan Li (ASE, 2024)

Explainable service recommendation for interactive mashup development counteracting biases. - Yueshen Xu; Shaoyuan Zhang; Honghao Gao; Yuyu Yin; Jingzhao Hu; Rui Li 047 (Inf. Sci., 2025)

Dual-tower model with semantic perception and timespan-coupled hypergraph for next-basket recommendation. - Yangtao Zhou; Hua Chu; Qingshan Li; Jianan Li 003; Shuai Zhang; Feifei Zhu; Jingzhao Hu; Luqiao Wang; Wanqiang Yang (Neural Networks, 2025)