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ORCIDJing Han 0010
Person information
- affiliation: University of Cambridge, UK
- affiliation (former): University of Augsburg, Chair of Embedded Intelligence for Health Care and Wellbeing, Germany
- affiliation (former): University of Passau, Chair of Complex and Intelligent Systems, Germany
Other persons with the same name
- Jing Han — disambiguation page
- Jing Han 0001 — Chinese Academy of Sciences, Institute of Systems Science, China (and 1 more)
- Jing Han 0002 — Beijing University of Posts and Telecommunications
- Jing Han 0003 — U.S. Food and Drug Administration, Center for Biologics Evaluation and Research
- Jing Han 0004 — China Mobile (and 3 more)
- Jing Han 0005 — Huainan Vocational & Technical College, China
- Jing Han 0006 — Tongji University, Broadband Wireless Communications and Multimedia Laboratory
- Jing Han 0007
![[0000-0003-3696-7099]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3696-7099")
— Central South University, School of Mathematics and Statistics, Changsha, China - Jing Han 0008 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
- Jing Han 0009 — Nanjing University of Science and Technology, Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, China
- Jing Han 0011 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
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2020 – today
- 2024
[j19]Zixing Zhang, Liyizhe Peng, Tao Pang, Jing Han, Huan Zhao, Björn W. Schuller:
Refashioning Emotion Recognition Modeling: The Advent of Generalized Large Models. IEEE Trans. Comput. Soc. Syst. 11(5): 6690-6704 (2024)- [j18]Tong Xia, Ting Dang, Jing Han, Lorena Qendro, Cecilia Mascolo:
Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning. IEEE J. Biomed. Health Informatics 28(11): 6417-6428 (2024) - [c35]Zixing Zhang, Tao Pang, Jing Han, Björn W. Schuller:
Intelligent Cardiac Auscultation for Murmur Detection via Parallel-Attentive Models with Uncertainty Estimation. ICASSP 2024: 861-865 - [c34]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: 11246-11250 - [c33]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: 11326-11330 - [i26]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 abs/2405.03952 (2024) - [i25]Zixing Zhang, Tao Pang, Jing Han, Björn W. Schuller:
Intelligent Cardiac Auscultation for Murmur Detection via Parallel-Attentive Models with Uncertainty Estimation. CoRR abs/2405.03953 (2024) - [i24]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 abs/2406.16148 (2024) - [i23]Yuanchao Li, Zixing Zhang, Jing Han, Peter Bell, Catherine Lai:
Semi-Supervised Cognitive State Classification from Speech with Multi-View Pseudo-Labeling. CoRR abs/2409.16937 (2024) - 2023
- [j17]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) - [c32]Erika Bondareva, Georgios Rizos, Jing Han, Cecilia Mascolo:
Embracing the Imaginary: Deep Complex-valued Networks for Heart Murmur Detection. CinC 2023: 1-4 - [c31]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: 1-5 - [c30]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: 3914-3925 - [i22]Tong Xia, Jing Han, Abhirup Ghosh, Cecilia Mascolo:
Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection. CoRR abs/2303.07067 (2023) - [i21]Zixing Zhang, Liyizhe Peng, Tao Pang, Jing Han, Huan Zhao, Björn W. Schuller:
Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models. CoRR abs/2308.11578 (2023) - [i20]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 abs/2310.14225 (2023) - 2022
- [j16]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) - [j15]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: 108403 (2022) - [c29]Erika Bondareva, Tong Xia, Jing Han, Cecilia Mascolo:
Towards Uncertainty-Aware Murmur Detection in Heart Sounds via Tandem Learning. CinC 2022: 1-4 - [i19]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 abs/2201.01232 (2022) - [i18]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 abs/2202.08981 (2022) - 2021
- [j14]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): 231-240 (2021) - [j13]Zixing Zhang, Ding Liu, Jing Han, Kun Qian, Björn W. Schuller:
Learning audio sequence representations for acoustic event classification. Expert Syst. Appl. 178: 115007 (2021) - [j12]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: 294-306 (2021) - [j11]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): 16035-16046 (2021) - [j10]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): 1022-1040 (2021) - [j9]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): 96-105 (2021) - [j8]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): 553-564 (2021) - [j7]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: 4131-4142 (2021) - [c28]Erika Bondareva, Jing Han, William Bradlow, Cecilia Mascolo:
Segmentation-free Heart Pathology Detection Using Deep Learning. EMBC 2021: 669-672 - [c27]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: 8328-8332 - [c26]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: 788-792 - [c25]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: 431-435 - [c24]Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo:
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. Interspeech 2021: 2951-2955 - [c23]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 - [i17]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 abs/2102.05225 (2021) - [i16]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 abs/2102.13468 (2021) - [i15]Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo:
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. CoRR abs/2104.02005 (2021) - [i14]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 abs/2104.09263 (2021) - [i13]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 abs/2106.15523 (2021) - [i12]Erika Bondareva, Jing Han, William Bradlow, Cecilia Mascolo:
Segmentation-free Heart Pathology Detection Using Deep Learning. CoRR abs/2108.04139 (2021) - [i11]Tong Xia, Jing Han, Cecilia Mascolo:
Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift. CoRR abs/2112.09196 (2021) - 2020
- [b1]Jing Han:
Automated Deep Audiovisual Emotional Behaviour Analysis in the Wild. University of Augsburg, Germany, 2020 - [j6]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): 300-310 (2020) - [c22]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: 7184-7188 - [c21]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: 496-500 - [c20]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: 4946-4950 - [c19]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: 3474-3484 - [i10]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 abs/2005.00096 (2020) - [i9]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 abs/2006.05919 (2020) - [i8]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 abs/2011.09299 (2020)
2010 – 2019
- 2019
- [j5]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): 68-81 (2019) - [j4]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: 116 (2019) - [j3]Zixing Zhang, Jing Han, Eduardo Coutinho, Björn W. Schuller:
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction. IEEE Trans. Multim. 21(5): 1289-1301 (2019) - [c18]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: 79-83 - [c17]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: 56-60 - [c16]Jing Han, Zixing Zhang, Zhao Ren, Björn W. Schuller:
Implicit Fusion by Joint Audiovisual Training for Emotion Recognition in Mono Modality. ICASSP 2019: 5861-5865 - [c15]Huan Zhao, Yufeng Xiao, Jing Han, Zixing Zhang:
Compact Convolutional Recurrent Neural Networks via Binarization for Speech Emotion Recognition. ICASSP 2019: 6690-6694 - [i7]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 abs/1901.02839 (2019) - [i6]Zixing Zhang, Jing Han, Kun Qian, Christoph Janott, Yanan Guo, Björn W. Schuller:
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data. CoRR abs/1903.12422 (2019) - [i5]Jing Han, Zixing Zhang, Zhao Ren, Björn W. Schuller:
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings. CoRR abs/1907.10428 (2019) - 2018
- [j2]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: 22196-22209 (2018) - [c14]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: 1-5 - [c13]Zhao Ren, Nicholas Cummins, Vedhas Pandit, Jing Han, Kun Qian, Björn W. Schuller:
Learning Image-based Representations for Heart Sound Classification. DH 2018: 143-147 - [c12]Jing Han, Zixing Zhang, Zhao Ren, Fabien Ringeval, Björn W. Schuller:
Towards Conditional Adversarial Training for Predicting Emotions from Speech. ICASSP 2018: 6822-6826 - [c11]Ya'nan 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: 569-573 - [c10]Zixing Zhang, Jing Han, Kun Qian, Björn W. Schuller:
Evolving Learning for Analysing Mood-Related Infant Vocalisation. INTERSPEECH 2018: 142-146 - [c9]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: 3082-3086 - [c8]Jing Han, Maximilian Schmitt, Björn W. Schuller:
You Sound Like Your Counterpart: Interpersonal Speech Analysis. SPECOM 2018: 188-197 - [i4]Jing Han, Zixing Zhang, Nicholas Cummins, Björn W. Schuller:
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives. CoRR abs/1809.08927 (2018) - [i3]Zixing Zhang, Jing Han, Eduardo Coutinho, Björn W. Schuller:
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction. CoRR abs/1810.05507 (2018) - [i2]Gil Keren, Jing Han, Björn W. Schuller:
Scaling Speech Enhancement in Unseen Environments with Noise Embeddings. CoRR abs/1810.12757 (2018) - 2017
- [j1]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: 76-86 (2017) - [c7]Jing Han, Zixing Zhang, Fabien Ringeval, Björn W. Schuller:
Reconstruction-error-based learning for continuous emotion recognition in speech. ICASSP 2017: 2367-2371 - [c6]Jing Han, Zixing Zhang, Fabien Ringeval, Björn W. Schuller:
Prediction-based learning for continuous emotion recognition in speech. ICASSP 2017: 5005-5009 - [c5]Zixing Zhang, Felix Weninger, Martin Wöllmer, Jing Han, Björn W. Schuller:
Towards intoxicated speech recognition. IJCNN 2017: 1555-1559 - [c4]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: 890-897 - [i1]Zixing Zhang, Ding Liu, Jing Han, Björn W. Schuller:
Learning Audio Sequence Representations for Acoustic Event Classification. CoRR abs/1707.08729 (2017) - 2016
- [c3]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: 652-666 - [c2]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: 5800-5804 - [c1]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: 3593-3597
Coauthor Index
[j19] [c35] [c34] [c33] [i26] [i25] [j17] [i21] [i20] [j15] [i18] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [c26] [c25] [i16] [i14] [j6] [c22] [c21] [c20] [i10] [i8] [j5] [j4] [j3] [c18] [c17] [c16] [i7] [i6] [i5] [j2] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [i4] [i3] [i2] [j1] [c7] [c6] [c5] [c4] [i1] [c3] [c2] [c1]
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