The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge. - Jun Deng; Nicholas Cummins; Jing Han 010; Xinzhou Xu; Zhao Ren; Vedhas Pandit; Zixing Zhang 001; Björn W. Schuller (CCPR (2), 2016)

Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace. - Hesam Sagha; Jun Deng; Maryna Gavryukova; Jing Han 010; Björn W. Schuller (ICASSP, 2016)

Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks. - Zixing Zhang 001; Fabien Ringeval; Jing Han 010; Jun Deng; Erik Marchi; Björn W. Schuller (INTERSPEECH, 2016)

Reconstruction-error-based learning for continuous emotion recognition in speech. - Jing Han 010; Zixing Zhang 001; Fabien Ringeval; Björn W. Schuller (ICASSP, 2017)

Prediction-based learning for continuous emotion recognition in speech. - Jing Han 010; Zixing Zhang 001; Fabien Ringeval; Björn W. Schuller (ICASSP, 2017)

Towards intoxicated speech recognition. - Zixing Zhang 001; Felix Weninger; Martin Wöllmer; Jing Han 010; Björn W. Schuller (IJCNN, 2017)

From Hard to Soft: Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty. - Jing Han 010; Zixing Zhang 001; Maximilian Schmitt; Maja Pantic; Björn W. Schuller (ACM Multimedia, 2017)

Learning Audio Sequence Representations for Acoustic Event Classification. - Zixing Zhang 001; Ding Liu; Jing Han 010; Björn W. Schuller (CoRR, 2017)

Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals. - Jing Han 010; Zixing Zhang 001; Nicholas Cummins; Fabien Ringeval; Björn W. Schuller (Image Vis. Comput., 2017)

Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks. - Zhao Ren; Nicholas Cummins; Jing Han 010; Sebastian Schnieder; Jarek Krajewski; Björn W. Schuller (ITG Symposium on Speech Communication, 2018)

Learning Image-based Representations for Heart Sound Classification. - Zhao Ren; Nicholas Cummins; Vedhas Pandit; Jing Han 010; Kun Qian 003; Björn W. Schuller (DH, 2018)

Towards Conditional Adversarial Training for Predicting Emotions from Speech. - Jing Han 010; Zixing Zhang 001; Zhao Ren; Fabien Ringeval; Björn W. Schuller (ICASSP, 2018)

Exploring A New Method for Food Likability Rating Based on DT-CWT Theory. - Ya'nan Guo 001; Jing Han 010; Zixing Zhang 001; Björn W. Schuller; Yide Ma (ICMI, 2018)

Evolving Learning for Analysing Mood-Related Infant Vocalisation. - Zixing Zhang 001; Jing Han 010; Kun Qian 003; Björn W. Schuller (INTERSPEECH, 2018)

Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech. - Jing Han 010; Zixing Zhang 001; Maximilian Schmitt; Zhao Ren; Fabien Ringeval; Björn W. Schuller (INTERSPEECH, 2018)

You Sound Like Your Counterpart: Interpersonal Speech Analysis. - Jing Han 010; Maximilian Schmitt; Björn W. Schuller (SPECOM, 2018)

Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning. - Zixing Zhang 001; Jing Han 010; Jun Deng; Xinzhou Xu; Fabien Ringeval; Björn W. Schuller (IEEE Access, 2018)

Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives. - Jing Han 010; Zixing Zhang 001; Nicholas Cummins; Björn W. Schuller (CoRR, 2018)

Scaling Speech Enhancement in Unseen Environments with Noise Embeddings. - Gil Keren; Jing Han 010; Björn W. Schuller (CoRR, 2018)

Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data. - Zhao Ren; Jing Han 010; Nicholas Cummins; Qiuqiang Kong; Mark D. Plumbley; Björn W. Schuller (PDH, 2019)

Implicit Fusion by Joint Audiovisual Training for Emotion Recognition in Mono Modality. - Jing Han 010; Zixing Zhang 001; Zhao Ren; Björn W. Schuller (ICASSP, 2019)

Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes. - Zhao Ren; Qiuqiang Kong; Jing Han 010; Mark D. Plumbley; Björn W. Schuller (ICASSP, 2019)

Compact Convolutional Recurrent Neural Networks via Binarization for Speech Emotion Recognition. - Huan Zhao 003; Yufeng Xiao; Jing Han 010; Zixing Zhang 001 (ICASSP, 2019)

Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives [Review Article]. - Jing Han 010; Zixing Zhang 001; Björn W. Schuller (IEEE Comput. Intell. Mag., 2019)

SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. - Jean Kossaifi; Robert Walecki; Yannis Panagakis; Jie Shen 008; Maximilian Schmitt; Fabien Ringeval; Jing Han 010; Vedhas Pandit; Björn W. Schuller; Kam Star; Elnar Hajiyev; Maja Pantic (CoRR, 2019)

Synchronization in Interpersonal Speech. - Shahin Amiriparian; Jing Han 010; Maximilian Schmitt; Alice Baird; Adria Mallol-Ragolta; Manuel Milling; Maurice Gerczuk; Björn W. Schuller (Frontiers Robotics AI, 2019)

Dynamic Difficulty Awareness Training for Continuous Emotion Prediction. - Zixing Zhang 001; Jing Han 010; Eduardo Coutinho; Björn W. Schuller (IEEE Trans. Multim., 2019)

Generating and Protecting Against Adversarial Attacks for Deep Speech-Based Emotion Recognition Models. - Zhao Ren; Alice Baird; Jing Han 010; Zixing Zhang 001; Björn W. Schuller (ICASSP, 2020)

An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. - Jing Han 010; Kun Qian 003; Meishu Song; Zijiang Yang 007; Zhao Ren; Shuo Liu 012; Juan Liu; Huaiyuan Zheng; Wei Ji; Tomoya Koike; Xiao Li; Zixing Zhang 001; et al. (INTERSPEECH, 2020)

Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models. - Zhao Ren; Jing Han 010; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2020)

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. - Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Jing Han 010; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Cecilia Mascolo (KDD, 2020)

Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data. - Zixing Zhang 001; Jing Han 010; Kun Qian 003; Christoph Janott; Yanan Guo 001; Björn W. Schuller (IEEE J. Biomed. Health Informatics, 2020)

Automated Deep Audiovisual Emotional Behaviour Analysis in the Wild. - Jing Han 010 (2020)

Segmentation-free Heart Pathology Detection Using Deep Learning. - Erika Bondareva; Jing Han 010; William Bradlow; Cecilia Mascolo (EMBC, 2021)

Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data. - Jing Han 010; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Cecilia Mascolo (ICASSP, 2021)

Towards Sonification in Multimodal and User-friendlyExplainable Artificial Intelligence. - Björn W. Schuller; Tuomas Virtanen; Maria Riveiro 001; Georgios Rizos; Jing Han 010; Annamaria Mesaros; Konstantinos Drossos (ICMI, 2021)

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. - Björn W. Schuller; Anton Batliner; Christian Bergler; Cecilia Mascolo; Jing Han 010; Iulia Lefter; Heysem Kaya; Shahin Amiriparian; Alice Baird; Lukas Stappen; Sandra Ottl; Maurice Gerczuk; et al. (Interspeech, 2021)

Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. - Tong Xia; Jing Han 010; Lorena Qendro; Ting Dang; Cecilia Mascolo (Interspeech, 2021)

COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening. - Tong Xia; Dimitris Spathis; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Jing Han 010; Apinan Hasthanasombat; Erika Bondareva; Ting Dang; Andres Floto; Pietro Cicuta; Cecilia Mascolo (NeurIPS Datasets and Benchmarks, 2021)

Exploring Perception Uncertainty for Emotion Recognition in Dyadic Conversation and Music Listening. - Jing Han 010; Zixing Zhang 001; Zhao Ren; Björn W. Schuller (Cogn. Comput., 2021)

Fitbeat: COVID-19 Estimation based on Wristband Heart Rate. - Shuo Liu 012; Jing Han 010; Estela Laporta Puyal; Spyridon Kontaxis; Shaoxiong Sun; Patrick Locatelli; Judith Dineley; Florian B. Pokorny; Gloria Dalla Costa; Letizia Leocani; Ana Isabel Guerrero; Carlos Nos; et al. (CoRR, 2021)

Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift. - Tong Xia; Jing Han 010; Cecilia Mascolo (CoRR, 2021)

Learning audio sequence representations for acoustic event classification. - Zixing Zhang 001; Ding Liu; Jing Han 010; Kun Qian 003; Björn W. Schuller (Expert Syst. Appl., 2021)

Internet of emotional people: Towards continual affective computing cross cultures via audiovisual signals. - Jing Han 010; Zixing Zhang 001; Maja Pantic; Björn W. Schuller (Future Gener. Comput. Syst., 2021)

Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19. - Kun Qian 003; Maximilian Schmitt; Huaiyuan Zheng; Tomoya Koike; Jing Han 010; Juan Liu; Wei Ji; Junjun Duan; Meishu Song; Zijiang Yang 007; Zhao Ren; Shuo Liu 012; et al. (IEEE Internet Things J., 2021)

SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. - Jean Kossaifi; Robert Walecki; Yannis Panagakis; Jie Shen 008; Maximilian Schmitt; Fabien Ringeval; Jing Han 010; Vedhas Pandit; Antoine Toisoul; Björn W. Schuller; Kam Star; Elnar Hajiyev; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Deep Learning for Mobile Mental Health: Challenges and recent advances. - Jing Han 010; Zixing Zhang 001; Cecilia Mascolo; Elisabeth André; Jianhua Tao 001; Ziping Zhao 001; Björn W. Schuller (IEEE Signal Process. Mag., 2021)

EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings. - Jing Han 010; Zixing Zhang 001; Zhao Ren; Björn W. Schuller (IEEE Trans. Affect. Comput., 2021)

CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification. - Zhao Ren; Qiuqiang Kong; Jing Han 010; Mark D. Plumbley; Björn W. Schuller (IEEE Trans. Multim., 2021)

Towards Uncertainty-Aware Murmur Detection in Heart Sounds via Tandem Learning. - Erika Bondareva; Tong Xia; Jing Han 010; Cecilia Mascolo (CinC, 2022)

COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. - Ting Dang; Jing Han 010; Tong Xia; Dimitris Spathis; Erika Bondareva; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Andres Floto; Pietro Cicuta; Cecilia Mascolo (CoRR, 2022)

Sounds of COVID-19: exploring realistic performance of audio-based digital testing. - Jing Han 010; Tong Xia; Dimitris Spathis; Erika Bondareva; Chloë Brown; Jagmohan Chauhan; Ting Dang; Andreas Grammenos; Apinan Hasthanasombat; Andres Floto; Pietro Cicuta; Cecilia Mascolo (npj Digit. Medicine, 2022)

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder. - Shuo Liu 012; Jing Han 010; Estela Laporta Puyal; Spyridon Kontaxis; Shaoxiong Sun; Patrick Locatelli; Judith Dineley; Florian B. Pokorny; Gloria Dalla Costa; Letizia Leocani; Ana Isabel Guerrero; Carlos Nos; et al. (Pattern Recognit., 2022)

Embracing the Imaginary: Deep Complex-valued Networks for Heart Murmur Detection. - Erika Bondareva; Georgios Rizos; Jing Han 010; Cecilia Mascolo (CinC, 2023)

Cross-Device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection. - Tong Xia; Jing Han 010; Abhirup Ghosh; Cecilia Mascolo (ICASSP, 2023)

Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. - Ting Dang; Jing Han 010; Tong Xia; Erika Bondareva; Chloë Siegele-Brown; Jagmohan Chauhan; Andreas Grammenos; Dimitris Spathis; Pietro Cicuta; Cecilia Mascolo (KDD, 2023)

Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models. - Zixing Zhang 001; Liyizhe Peng; Tao Pang; Jing Han 010; Huan Zhao 003; Björn W. Schuller (CoRR, 2023)

A summary of the ComParE COVID-19 challenges. - Harry Coppock; Alican Akman; Christian Bergler; Maurice Gerczuk; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Jing Han 010; et al. (Frontiers Digit. Health, 2023)

Intelligent Cardiac Auscultation for Murmur Detection via Parallel-Attentive Models with Uncertainty Estimation. - Zixing Zhang 001; Tao Pang; Jing Han 010; Björn W. Schuller (ICASSP, 2024)

HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's Disease Detection From Spontaneous Speech. - Zhongren Dong; Zixing Zhang 001; Weixiang Xu; Jing Han 010; Jianjun Ou; Björn W. Schuller (ICASSP, 2024)

Customising General Large Language Models for Specialised Emotion Recognition Tasks. - Liyizhe Peng; Zixing Zhang 001; Tao Pang; Jing Han 010; Huan Zhao 003; Hao Chen; Björn W. Schuller (ICASSP, 2024)

Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking. - Yuwei Zhang; Tong Xia; Jing Han 010; Yu Wu 021; Georgios Rizos; Yang Liu 101; Mohammed Mosuily; Jagmohan Chauhan; Cecilia Mascolo (NeurIPS, 2024)

Re-Parameterization of Lightweight Transformer for On-Device Speech Emotion Recognition. - Zixing Zhang 001; Zhongren Dong; Weixiang Xu; Jing Han 010 (CoRR, 2024)

Refashioning Emotion Recognition Modeling: The Advent of Generalized Large Models. - Zixing Zhang 001; Liyizhe Peng; Tao Pang; Jing Han 010; Huan Zhao 003; Björn W. Schuller (IEEE Trans. Comput. Soc. Syst., 2024)

Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning. - Tong Xia; Ting Dang; Jing Han 010; Lorena Qendro; Cecilia Mascolo (IEEE J. Biomed. Health Informatics, 2024)

Heart Sounds for High Blood Pressure Prediction. - Erika Bondareva; Jing Han 010; Katarzyna Szczurek; Dawid Szczepanek; Tomasz Jadczyk; Cecilia Mascolo (ICASSP, 2025)

Semi-Supervised Cognitive State Classification from Speech with Multi-View Pseudo-Labeling. - Yuanchao Li; Zixing Zhang 001; Jing Han 010; Peter Bell 001; Catherine Lai (ICASSP, 2025)

Reparameterization of Lightweight Transformer for On-Device Speech Emotion Recognition. - Zixing Zhang 001; Zhongren Dong; Weixiang Xu; Jing Han 010 (IEEE Internet Things J., 2025)

DEBATE: A Dataset for Disentangling Textual Ambiguity in Mandarin Through Speech. - Haotian Guo; Jing Han 010; Yongfeng Tu; Shihao Gao; Shengfan Shen; Wulong Xiang; Weihao Gan; Zixing Zhang 001 (CoRR, 2025)