Zhao Ren
Orcid: 0000-0003-0707-5016
According to our database1,
Zhao Ren
authored at least 71 papers
between 2016 and 2024.
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Bibliography
2024
IEEE Comput. Intell. Mag., August, 2024
Knowl. Based Syst., 2024
CoRR, 2024
Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances.
CoRR, 2024
CoRR, 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures.
CoRR, 2024
STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition.
CoRR, 2024
Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition.
Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Diff-ETS: Learning a Diffusion Probabilistic Model for Electromyography-to-Speech Conversion.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
emg2vec: Self-supervised Pretraining in Electromyography-based Silent Speech Interfaces.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
Guest Editorial Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things.
IEEE J. Biomed. Health Informatics, November, 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
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
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
Proceedings of the Robot Intelligence Technology and Applications 7, 2022
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Convoluational Transformer With Adaptive Position Embedding For Covid-19 Detection From Cough Sounds.
Proceedings of the IEEE International Conference on Acoustics, 2022
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
CoRR, 2021
Exploring Perception Uncertainty for Emotion Recognition in Dyadic Conversation and Music Listening.
Cogn. Comput., 2021
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
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
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 21st Annual Conference of the International Speech Communication Association, 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 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
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
IEEE CAA J. Autom. Sinica, 2018
The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 International Conference on Digital Health, 2018
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
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017
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 17th Annual Conference of the International Speech Communication Association, 2016
The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016