Zhao Ren

Orcid: 0000-0003-0707-5016

According to our database1, Zhao Ren authored at least 62 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition.
CoRR, 2024

2023
Guest Editorial Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things.
IEEE J. Biomed. Health Informatics, November, 2023

A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era.
CoRR, 2023

An Overview of the ICASSP Special Session on AI Security and Privacy in Speech and Audio Processing.
Proceedings of the ACM Multimedia Asia Workshops, 2023

Self-Explaining Neural Networks for Respiratory Sound Classification with Scale-free Interpretability.
Proceedings of the International Joint Conference on Neural Networks, 2023

10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention.
Proceedings of the International Joint Conference on Neural Networks, 2023

Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2023

Cutting Through the Noise: An Empirical Comparison of Psycho-Acoustic and Envelope-based Features for Machinery Fault Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

Fast Yet Effective Speech Emotion Recognition with Self-Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Knowledge Transfer for on-Device Speech Emotion Recognition With Neural Structured Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Efficient ECG-Based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Deep learning techniques for computer audition.
PhD thesis, 2022

Towards Efficient ECG-based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks.
CoRR, 2022

Cutting Through the Noise: An Empirical Comparison of Psychoacoustic and Envelope-based Features for Machinery Fault Detection.
CoRR, 2022

Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition.
CoRR, 2022

High-dimension to high-dimension screening for detecting genome-wide epigenetic and noncoding RNA regulators of gene expression.
Bioinform., 2022

Short-Term Traffic Speed Prediction Using Hybrid LSTM-SVR Model.
Proceedings of the Robot Intelligence Technology and Applications 7, 2022

Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis.
Proceedings of the Interspeech 2022, 2022

Convoluational Transformer With Adaptive Position Embedding For Covid-19 Detection From Cough Sounds.
Proceedings of the IEEE International Conference on Acoustics, 2022

Prototype Learning for Interpretable Respiratory Sound Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Frustration recognition from speech during game interaction using wide residual networks.
Virtual Real. Intell. Hardw., 2021

CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification.
IEEE Trans. Multim., 2021

EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings.
IEEE Trans. Affect. Comput., 2021

Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19.
IEEE Internet Things J., 2021

CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough Sounds.
Frontiers Digit. Health, 2021

Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech.
Comput. Speech Lang., 2021

The EIHW-GLAM Deep Attentive Multi-model Fusion System for Cough-based COVID-19 Recognition in the DiCOVA 2021 Challenge.
CoRR, 2021

Deep Attention-based Representation Learning for Heart Sound Classification.
CoRR, 2021

Exploring Perception Uncertainty for Emotion Recognition in Dyadic Conversation and Music Listening.
Cogn. Comput., 2021

Speaking Corona? Human and Machine Recognition of COVID-19 from Voice.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Deformable Dilated Faster R-CNN for Universal Lesion Detection in CT Images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Transformer-based CNNs: Mining Temporal Context Information for Multi-sound COVID-19 Diagnosis.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS - The Heart Sounds Shenzhen Corpus.
IEEE J. Biomed. Health Informatics, 2020

Covariance-engaged Classification of Sets via Linear Programming.
CoRR, 2020

Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models.
Proceedings of the Interspeech 2020, 2020

Towards Speech Robustness for Acoustic Scene Classification.
Proceedings of the Interspeech 2020, 2020

A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition.
Proceedings of the Interspeech 2020, 2020

Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition.
Proceedings of the Interspeech 2020, 2020

An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety.
Proceedings of the Interspeech 2020, 2020

Generating and Protecting Against Adversarial Attacks for Deep Speech-Based Emotion Recognition Models.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition.
IEEE Access, 2019

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition.
Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop, 2019

Deep Wavelets for Heart Sound Classification.
Proceedings of the 2019 International Symposium on Intelligent Signal Processing and Communication Systems, 2019

Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes.
Proceedings of the IEEE International Conference on Acoustics, 2019

Implicit Fusion by Joint Audiovisual Training for Emotion Recognition in Mono Modality.
Proceedings of the IEEE International Conference on Acoustics, 2019

Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data.
Proceedings of the 9th International Conference on Digital Public Health, 2019

2018
SILGGM: An extensive R package for efficient statistical inference in large-scale gene networks.
PLoS Comput. Biol., 2018

Deep Scalogram Representations for Acoustic Scene Classification.
IEEE CAA J. Autom. Sinica, 2018


Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech.
Proceedings of the Interspeech 2018, 2018

Towards Conditional Adversarial Training for Predicting Emotions from Speech.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Image-based Representations for Heart Sound Classification.
Proceedings of the 2018 International Conference on Digital Health, 2018

Attention-based convolutional neural networks for acoustic scene classification.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks.
Proceedings of the 13th ITG Symposium on Speech Communication, 2018

2017
Extending the FOV from disparity and color consistencies in multiview light fields.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep Sequential Image Features on Acoustic Scene Classification.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

Wavelets Revisited for the Classification of Acoustic Scenes.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

2016
FastGGM: An Efficient Algorithm for the Inference of Gaussian Graphical Model in Biological Networks.
PLoS Comput. Biol., 2016

Sincerity and Deception in Speech: Two Sides of the Same Coin? A Transfer- and Multi-Task Learning Perspective.
Proceedings of the Interspeech 2016, 2016

The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016


  Loading...