Jing Han

Orcid: 0000-0001-5776-6849

Affiliations:

University of Cambridge, UK
University of Augsburg, Chair of Embedded Intelligence for Health Care and Wellbeing, Germany (former)
University of Passau, Chair of Complex and Intelligent Systems, Germany (former)

According to our database¹, Jing Han authored at least 66 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

Bibliography

2024

Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, November, 2024

Refashioning Emotion Recognition Modeling: The Advent of Generalized Large Models.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., October, 2024

Re-Parameterization of Lightweight Transformer for On-Device Speech Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

Semi-Supervised Cognitive State Classification from Speech with Multi-View Pseudo-Labeling.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking.

[BibT_eX]

[DOI]

CoRR, 2024

Customising General Large Language Models for Specialised Emotion Recognition Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's Disease Detection From Spontaneous Speech.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Intelligent Cardiac Auscultation for Murmur Detection via Parallel-Attentive Models with Uncertainty Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

A summary of the ComParE COVID-19 challenges.

[BibT_eX]

[DOI]

Frontiers Digit. Health, March, 2023

Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models.

[BibT_eX]

[DOI]

CoRR, 2023

Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Cross-Device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Embracing the Imaginary: Deep Complex-valued Networks for Heart Murmur Detection.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2023

2022

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Sounds of COVID-19: exploring realistic performance of audio-based digital testing.

[BibT_eX]

[DOI]

Apinan Hasthanasombat

Andres Floto

Pietro Cicuta

Cecilia Mascolo

npj Digit. Medicine, 2022

COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study.

[BibT_eX]

[DOI]

Apinan Hasthanasombat

Andres Floto

Pietro Cicuta

Cecilia Mascolo

CoRR, 2022

Towards Uncertainty-Aware Murmur Detection in Heart Sounds via Tandem Learning.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2022

2021

CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2021

Deep Learning for Mobile Mental Health: Challenges and recent advances.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2021

SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Internet of emotional people: Towards continual affective computing cross cultures via audiovisual signals.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2021

Learning audio sequence representations for acoustic event classification.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift.

[BibT_eX]

[DOI]

Tong Xia

Jing Han

Cecilia Mascolo

CoRR, 2021

Fitbeat: COVID-19 Estimation based on Wristband Heart Rate.

[BibT_eX]

[DOI]

CoRR, 2021

Exploring Perception Uncertainty for Emotion Recognition in Dyadic Conversation and Music Listening.

[BibT_eX]

[DOI]

Cogn. Comput., 2021

COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening.

[BibT_eX]

[DOI]

Apinan Hasthanasombat

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data.

[BibT_eX]

[DOI]

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates.

[BibT_eX]

[DOI]

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Towards Sonification in Multimodal and User-friendlyExplainable Artificial Intelligence.

[BibT_eX]

[DOI]

Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data.

[BibT_eX]

[DOI]

Apinan Hasthanasombat

Proceedings of the IEEE International Conference on Acoustics, 2021

Segmentation-free Heart Pathology Detection Using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Automated Deep Audiovisual Emotional Behaviour Analysis in the Wild.

[BibT_eX]

[DOI]

Jing Han

PhD thesis, 2020

Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data.

[BibT_eX]

[DOI]

Apinan Hasthanasombat

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Dynamic Difficulty Awareness Training for Continuous Emotion Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2019

Synchronization in Interpersonal Speech.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2019

SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives [Review Article].

[BibT_eX]

[DOI]

Jing Han

Zixing Zhang

Björn W. Schuller

IEEE Comput. Intell. Mag., 2019

Compact Convolutional Recurrent Neural Networks via Binarization for Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Implicit Fusion by Joint Audiovisual Training for Emotion Recognition in Mono Modality.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Digital Public Health, 2019

2018

Scaling Speech Enhancement in Unseen Environments with Noise Embeddings.

[BibT_eX]

[DOI]

Gil Keren

Jing Han

Björn W. Schuller

CoRR, 2018

Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives.

[BibT_eX]

[DOI]

CoRR, 2018

Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning.

[BibT_eX]

[DOI]

IEEE Access, 2018

You Sound Like Your Counterpart: Interpersonal Speech Analysis.

[BibT_eX]

[DOI]

Jing Han

Maximilian Schmitt

Björn W. Schuller

Proceedings of the Speech and Computer - 20th International Conference, 2018

Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech.

[BibT_eX]

[DOI]

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Evolving Learning for Analysing Mood-Related Infant Vocalisation.

[BibT_eX]

[DOI]

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Exploring A New Method for Food Likability Rating Based on DT-CWT Theory.

[BibT_eX]

[DOI]

Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

Towards Conditional Adversarial Training for Predicting Emotions from Speech.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Image-based Representations for Heart Sound Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Digital Health, 2018

Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks.

[BibT_eX]

[DOI]

Proceedings of the 13th ITG Symposium on Speech Communication, 2018

2017

Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals.

[BibT_eX]

[DOI]

Image Vis. Comput., 2017

Learning Audio Sequence Representations for Acoustic Event Classification.

[BibT_eX]

[DOI]

CoRR, 2017

From Hard to Soft: Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Towards intoxicated speech recognition.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Prediction-based learning for continuous emotion recognition in speech.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Reconstruction-error-based learning for continuous emotion recognition in speech.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

Jing Han

Timeline

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