Jing Han

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 77

Top Topics

Emotion Recognition

Affective Computing

Recent Advances

Transductive Svm

Top Venues

IEEE Trans. Multim.

Publications

Zhongren Dong, Zixing Zhang, Weixiang Xu, Jing Han, Jianjun Ou, Björn W. Schuller
HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's Disease Detection From Spontaneous Speech. CoRR (2024)
Zixing Zhang, Tao Pang, Jing Han, Björn W. Schuller
Intelligent Cardiac Auscultation for Murmur Detection via Parallel-Attentive Models with Uncertainty Estimation. ICASSP (2024)
Zixing Zhang, Tao Pang, Jing Han, Björn W. Schuller
Intelligent Cardiac Auscultation for Murmur Detection via Parallel-Attentive Models with Uncertainty Estimation. CoRR (2024)
Yuwei Zhang, Tong Xia, Jing Han, Yu Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily, Jagmohan Chauhan, Cecilia Mascolo
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking. CoRR (2024)
Zhongren Dong, Zixing Zhang, Weixiang Xu, Jing Han, Jianjun Ou, Björn W. Schuller
HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's Disease Detection From Spontaneous Speech. ICASSP (2024)
Liyizhe Peng, Zixing Zhang, Tao Pang, Jing Han, Huan Zhao, Hao Chen, Björn W. Schuller
Customising General Large Language Models for Specialised Emotion Recognition Tasks. ICASSP (2024)
Liyizhe Peng, Zixing Zhang, Tao Pang, Jing Han, Huan Zhao, Hao Chen, Björn W. Schuller
Customising General Large Language Models for Specialised Emotion Recognition Tasks. CoRR (2023)
Ting Dang, Jing Han, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo
Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. KDD (2023)
Tong Xia, Jing Han, Abhirup Ghosh, Cecilia Mascolo
Cross-Device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection. ICASSP (2023)
Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller
A summary of the ComParE COVID-19 challenges. Frontiers Digit. Health 5 (2023)
Zixing Zhang, Liyizhe Peng, Tao Pang, Jing Han, Huan Zhao, Björn W. Schuller
Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models. CoRR (2023)
Erika Bondareva, Georgios Rizos, Jing Han, Cecilia Mascolo
Embracing the Imaginary: Deep Complex-valued Networks for Heart Murmur Detection. CinC (2023)
Tong Xia, Jing Han, Abhirup Ghosh, Cecilia Mascolo
Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection. CoRR (2023)
Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller
A Summary of the ComParE COVID-19 Challenges. CoRR (2022)
Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo
COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. CoRR (2022)
Shuo Liu, Jing Han, Estela Laporta Puyal, Spyridon Kontaxis, Shaoxiong Sun, Patrick Locatelli, Judith Dineley, Florian B. Pokorny, Gloria Dalla Costa, Letizia Leocani, Ana Isabel Guerrero, Carlos Nos, Ana Zabalza, Per Soelberg Sørensen, Mathias Buron, Melinda Magyari, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum L. Stewart, Amos A. Folarin, Richard J. B. Dobson, Raquel Bailón, Srinivasan Vairavan, Nicholas Cummins, Vaibhav A. Narayan, Matthew Hotopf, Giancarlo Comi, Björn W. Schuller, RADAR-CNS Consortium
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder. Pattern Recognit. 123 (2022)
Erika Bondareva, Tong Xia, Jing Han, Cecilia Mascolo
Towards Uncertainty-Aware Murmur Detection in Heart Sounds via Tandem Learning. CinC (2022)
Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. npj Digit. Medicine 5 (2022)
Erika Bondareva, Jing Han, William Bradlow, Cecilia Mascolo
Segmentation-free Heart Pathology Detection Using Deep Learning. CoRR (2021)
Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Björn W. Schuller
CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification. IEEE Trans. Multim. 23 (2021)
Kun Qian, Maximilian Schmitt, Huaiyuan Zheng, Tomoya Koike, Jing Han, Juan Liu, Wei Ji, Junjun Duan, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller
Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19. IEEE Internet Things J. 8 (21) (2021)
Jing Han, Zixing Zhang, Cecilia Mascolo, Elisabeth André, Jianhua Tao, Ziping Zhao, Björn W. Schuller
Deep Learning for Mobile Mental Health: Challenges and recent advances. IEEE Signal Process. Mag. 38 (6) (2021)
Tong Xia, Dimitris Spathis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Erika Bondareva, Ting Dang, Andres Floto, Pietro Cicuta, Cecilia Mascolo
COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening. NeurIPS Datasets and Benchmarks (2021)
Jing Han, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data. ICASSP (2021)
Erika Bondareva, Jing Han, William Bradlow, Cecilia Mascolo
Segmentation-free Heart Pathology Detection Using Deep Learning. EMBC (2021)
Jing Han, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data. CoRR (2021)
Jing Han, Zixing Zhang, Maja Pantic, Björn W. Schuller
Internet of emotional people: Towards continual affective computing cross cultures via audiovisual signals. Future Gener. Comput. Syst. 114 (2021)
Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Antoine Toisoul, Björn W. Schuller, Kam Star, Elnar Hajiyev, Maja Pantic
SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 43 (3) (2021)
Shuo Liu, Jing Han, Estela Laporta Puyal, Spyridon Kontaxis, Shaoxiong Sun, Patrick Locatelli, Judith Dineley, Florian B. Pokorny, Gloria Dalla Costa, Letizia Leocani, Ana Isabel Guerrero, Carlos Nos, Ana Zabalza, Per Soelberg Sørensen, Mathias Buron, Melinda Magyari, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum L. Stewart, Amos A. Folarin, Richard J. B. Dobson, Raquel Bailón, Srinivasan Vairavan, Nicholas Cummins, Vaibhav A. Narayan, Matthew Hotopf, Giancarlo Comi, Björn W. Schuller
Fitbeat: COVID-19 Estimation based on Wristband Heart Rate. CoRR (2021)
Zixing Zhang, Ding Liu, Jing Han, Kun Qian, Björn W. Schuller
Learning audio sequence representations for acoustic event classification. Expert Syst. Appl. 178 (2021)
Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Léon J. M. Rothkrantz, Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. Interspeech (2021)
Björn W. Schuller, Tuomas Virtanen, Maria Riveiro, Georgios Rizos, Jing Han, Annamaria Mesaros, Konstantinos Drossos
Towards Sonification in Multimodal and User-friendlyExplainable Artificial Intelligence. ICMI (2021)
Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Léon J. M. Rothkrantz, Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. CoRR (2021)
Jing Han, Zixing Zhang, Zhao Ren, Björn W. Schuller
Exploring Perception Uncertainty for Emotion Recognition in Dyadic Conversation and Music Listening. Cogn. Comput. 13 (2) (2021)
Jing Han, Zixing Zhang, Zhao Ren, Björn W. Schuller
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings. IEEE Trans. Affect. Comput. 12 (3) (2021)
Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. CoRR (2021)
Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. Interspeech (2021)
Tong Xia, Jing Han, Cecilia Mascolo
Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift. CoRR (2021)
Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. CoRR (2021)
Zhao Ren, Jing Han, Nicholas Cummins, Björn W. Schuller
Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models. INTERSPEECH (2020)
Jing Han, Kun Qian, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Juan Liu, Huaiyuan Zheng, Wei Ji, Tomoya Koike, Xiao Li, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller
An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. INTERSPEECH (2020)
Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. CoRR (2020)
Zixing Zhang, Jing Han, Kun Qian, Christoph Janott, Yanan Guo, Björn W. Schuller
Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data. IEEE J. Biomed. Health Informatics 24 (1) (2020)
Zhao Ren, Alice Baird, Jing Han, Zixing Zhang, Björn W. Schuller
Generating and Protecting Against Adversarial Attacks for Deep Speech-Based Emotion Recognition Models. ICASSP (2020)
Jing Han, Kun Qian, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Juan Liu, Huaiyuan Zheng, Wei Ji, Tomoya Koike, Xiao Li, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller
An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. CoRR (2020)
Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Björn W. Schuller
CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification. CoRR (2020)
Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. KDD (2020)
Zhao Ren, Jing Han, Nicholas Cummins, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller
Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data. PDH (2019)
Jing Han, Zixing Zhang, Zhao Ren, Björn W. Schuller
Implicit Fusion by Joint Audiovisual Training for Emotion Recognition in Mono Modality. ICASSP (2019)
Huan Zhao, Yufeng Xiao, Jing Han, Zixing Zhang
Compact Convolutional Recurrent Neural Networks via Binarization for Speech Emotion Recognition. ICASSP (2019)
Jing Han, Zixing Zhang, Björn W. Schuller
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives [Review Article]. IEEE Comput. Intell. Mag. 14 (2) (2019)
Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Björn W. Schuller
Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes. ICASSP (2019)
Zixing Zhang, Jing Han, Kun Qian, Christoph Janott, Yanan Guo, Björn W. Schuller
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data. CoRR (2019)
Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Björn W. Schuller, Kam Star, Elnar Hajiyev, Maja Pantic
SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. CoRR (2019)
Shahin Amiriparian, Jing Han, Maximilian Schmitt, Alice Baird, Adria Mallol-Ragolta, Manuel Milling, Maurice Gerczuk, Björn W. Schuller
Synchronization in Interpersonal Speech. Frontiers Robotics AI 6 (2019)
Zixing Zhang, Jing Han, Eduardo Coutinho, Björn W. Schuller
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction. IEEE Trans. Multim. 21 (5) (2019)
Jing Han, Zixing Zhang, Zhao Ren, Björn W. Schuller
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings. CoRR (2019)
Zhao Ren, Nicholas Cummins, Jing Han, Sebastian Schnieder, Jarek Krajewski, Björn W. Schuller
Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks. ITG Symposium on Speech Communication (2018)
Jing Han, Zixing Zhang, Nicholas Cummins, Björn W. Schuller
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives. CoRR (2018)
Jing Han, Zixing Zhang, Maximilian Schmitt, Zhao Ren, Fabien Ringeval, Björn W. Schuller
Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech. INTERSPEECH (2018)
Zixing Zhang, Jing Han, Kun Qian, Björn W. Schuller
Evolving Learning for Analysing Mood-Related Infant Vocalisation. INTERSPEECH (2018)
Zhao Ren, Nicholas Cummins, Vedhas Pandit, Jing Han, Kun Qian, Björn W. Schuller
Learning Image-based Representations for Heart Sound Classification. DH (2018)
Gil Keren, Jing Han, Björn W. Schuller
Scaling Speech Enhancement in Unseen Environments with Noise Embeddings. CoRR (2018)
Jing Han, Maximilian Schmitt, Björn W. Schuller
You Sound Like Your Counterpart: Interpersonal Speech Analysis. SPECOM (2018)
Jing Han, Zixing Zhang, Zhao Ren, Fabien Ringeval, Björn W. Schuller
Towards Conditional Adversarial Training for Predicting Emotions from Speech. ICASSP (2018)
Yanan Guo, Jing Han, Zixing Zhang, Björn W. Schuller, Yide Ma
Exploring A New Method for Food Likability Rating Based on DT-CWT Theory. ICMI (2018)
Zixing Zhang, Jing Han, Jun Deng, Xinzhou Xu, Fabien Ringeval, Björn W. Schuller
Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning. IEEE Access 6 (2018)
Zixing Zhang, Jing Han, Eduardo Coutinho, Björn W. Schuller
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction. CoRR (2018)
Zixing Zhang, Ding Liu, Jing Han, Björn W. Schuller
Learning Audio Sequence Representations for Acoustic Event Classification. CoRR (2017)
Jing Han, Zixing Zhang, Fabien Ringeval, Björn W. Schuller
Prediction-based learning for continuous emotion recognition in speech. ICASSP (2017)
Jing Han, Zixing Zhang, Maximilian Schmitt, Maja Pantic, Björn W. Schuller
From Hard to Soft: Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty. ACM Multimedia (2017)
Jing Han, Zixing Zhang, Fabien Ringeval, Björn W. Schuller
Reconstruction-error-based learning for continuous emotion recognition in speech. ICASSP (2017)
Zixing Zhang, Felix Weninger, Martin Wöllmer, Jing Han, Björn W. Schuller
Towards intoxicated speech recognition. IJCNN (2017)
Jing Han, Zixing Zhang, Nicholas Cummins, Fabien Ringeval, Björn W. Schuller
Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals. Image Vis. Comput. 65 (2017)
Zixing Zhang, Fabien Ringeval, Jing Han, Jun Deng, Erik Marchi, Björn W. Schuller
Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks. INTERSPEECH (2016)
Hesam Sagha, Jun Deng, Maryna Gavryukova, Jing Han, Björn W. Schuller
Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace. ICASSP (2016)
Jun Deng, Nicholas Cummins, Jing Han, Xinzhou Xu, Zhao Ren, Vedhas Pandit, Zixing Zhang, Björn W. Schuller
The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge. CCPR (2) (2016)