Jie Xie

Orcid: 0000-0002-7897-9584

Affiliations:
  • Nanjing Normal University, School of Computer and Electronic Information, School of Artificial Intelligence, China
  • Jiangnan University, School of Internet of Things Engineering, Wuxi, China
  • University of Waterloo, Department of Electrical and Computer Engineering, ON, Canada
  • Queensland University of Technology (QUT), Faculty of Science and Technology, Department of electrical engineering and computer science, Brisbane, QLD, Australia (PhD 2016)


According to our database1, Jie Xie authored at least 38 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Investigation of attention mechanism for speech command recognition.
Multim. Tools Appl., July, 2025

2024
Robust scientific text classification using prompt tuning based on data augmentation with L2 regularization.
Inf. Process. Manag., January, 2024

Using pre-trained models and graph convolution networks to find the causal relations among events in the Chinese financial text data.
Multim. Tools Appl., 2024

2023
Fusion-based speech emotion classification using two-stage feature selection.
Speech Commun., July, 2023

Instance hardness and multivariate Gaussian distribution-based oversampling technique for imbalance classification.
Pattern Anal. Appl., May, 2023

Investigation of nearby monitoring station for hourly PM2.5 forecasting using parallel multi-input 1D-CNN-biLSTM.
Expert Syst. Appl., January, 2023

2022
Sliding-window based scale-frequency map for bird sound classification using 2D- and 3D-CNN.
Expert Syst. Appl., November, 2022

An adaptive feature selection schema using improved technical indicators for predicting stock price movements.
Expert Syst. Appl., 2022

Improved seabird image classification based on dual transfer learning framework and spatial pyramid pooling.
Ecol. Informatics, 2022

Hierarchical Ensemble Based Imbalance Classification.
Proceedings of the Computational Science - ICCS 2022, 2022

2021
Bipartite Network of Interest (BNOI): Extending Co-Word Network with Interest of Researchers Using Sensor Data and Corresponding Applications as an Example.
Sensors, 2021

LBP-based bird sound classification using improved feature selection algorithm.
Int. J. Speech Technol., 2021

CNN-based driving maneuver classification using multi-sliding window fusion.
Expert Syst. Appl., 2021

On loss functions and CNNs for improved bioacoustic signal classification.
Ecol. Informatics, 2021

Bioacoustic signal denoising: a review.
Artif. Intell. Rev., 2021

2020
Investigation of Acoustic and Visual Features for Frog Call Classification.
J. Signal Process. Syst., 2020

Bioacoustic signal classification in continuous recordings: Syllable-segmentation vs sliding-window.
Expert Syst. Appl., 2020

Data-driven analysis of global research trends in bioacoustics and ecoacoustics from 1991 to 2018.
Ecol. Informatics, 2020

Investigation of CNN-based models for Frog Calling Activity Detection.
Proceedings of the IEEE International Conference on Signal Processing, 2020

2019
Investigation of acoustic and visual features for acoustic scene classification.
Expert Syst. Appl., 2019

Investigation of Different CNN-Based Models for Improved Bird Sound Classification.
IEEE Access, 2019

2018
Investigation of domain adaptation for acoustic frog species classification.
PeerJ Prepr., 2018

Frog call classification: a survey.
Artif. Intell. Rev., 2018

Driver Distraction Recognition Based on Smartphone Sensor Data.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017
Multi-label classification of frog species via deep learning.
PeerJ Prepr., 2017

Long-term monitoring of cane-toads using acoustic sensors: poster abstract.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

Multi-Label Classification of Frog Species via Deep Learning.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016
Adaptive frequency scaled wavelet packet decomposition for frog call classification.
Ecol. Informatics, 2016

Feature Extraction Based on Bandpass Filtering for Frog Call Classification.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016

Multiple-Instance Multiple-Label Learning for the Classification of Frog Calls with Acoustic Event Detection.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016

Detecting Frog Calling Activity Based on Acoustic Event Detection and Multi-label Learning.
Proceedings of the International Conference on Computational Science 2016, 2016

2015
Generalised features for bird vocalisation retrieval in acoustic recordings.
Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

Image Processing and Classification Procedure for the Analysis of Australian Frog Vocalisations.
Proceedings of the 2nd International Workshop on Environmental Multimedia Retrieval, 2015

Detection of anuran calling activity in long field recordings for bio-acoustic monitoring.
Proceedings of the Tenth IEEE International Conference on Intelligent Sensors, 2015

Acoustic classification of Australian anurans using syllable features.
Proceedings of the Tenth IEEE International Conference on Intelligent Sensors, 2015

Application of image processing techniques for frog call classification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Acoustic Feature Extraction Using Perceptual Wavelet Packet Decomposition for Frog Call Classification.
Proceedings of the 11th IEEE International Conference on e-Science, 2015

Acoustic features for multi-level classification of Australian frogs.
Proceedings of the 10th International Conference on Information, 2015


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