Jing Han - RankMe

97 papers A* 8A 7B 3Misc 15Journal 54Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	SACodec: Asymmetric Quantization with Semantic Anchoring for Low-Bitrate High-Fidelity Neural Speech Codecs. AAAI Zhongren Dong, Bin Wang, Jing Han, Haotian Guo, Xiaojun Mo, Yimin Cao, Zixing Zhang
2026	J	`jnl`	Wearable Foundation Models Should Go Beyond Static Encoders. CoRR Yu Yvonne Wu, Yuwei Zhang, Hyungjun Yoon, Ting Dang, Dimitris Spathis, Tong Xia, Qiang Yang, Jing Han, Dong Ma, Sung-Ju Lee, Cecilia Mascolo
2025	A*	`conf`	AudioFab: Building A General and Intelligent Audio Factory through Tool Learning. ACM Multimedia Cheng Zhu, Jing Han, Qianshuai Xue, Kehan Wang, Huan Zhao, Zixing Zhang
2025	J	`jnl`	AudioFab: Building A General and Intelligent Audio Factory through Tool Learning. CoRR Cheng Zhu, Jing Han, Qianshuai Xue, Kehan Wang, Huan Zhao, Zixing Zhang
2025	J	`jnl`	DEBATE: A Dataset for Disentangling Textual Ambiguity in Mandarin Through Speech. CoRR Haotian Guo, Jing Han, Yongfeng Tu, Shihao Gao, Shengfan Shen, Wulong Xiang, Weihao Gan, Zixing Zhang
2025	Misc	`conf`	Heart Sounds for High Blood Pressure Prediction. ICASSP Erika Bondareva, Jing Han, Katarzyna Szczurek, Dawid Szczepanek, Tomasz Jadczyk, Cecilia Mascolo
2025	J	`jnl`	Pioneering Multimodal Emotion Recognition in the Era of Large Models: From Closed Sets to Open Vocabularies. CoRR Jing Han, Zhiqiang Gao, Shihao Gao, Jialing Liu, Hongyu Chen, Zixing Zhang, Björn W. Schuller
2025	J	`jnl`	Reparameterization of Lightweight Transformer for On-Device Speech Emotion Recognition. IEEE Internet Things J. Zixing Zhang, Zhongren Dong, Weixiang Xu, Jing Han
2025	J	`jnl`	SACodec: Asymmetric Quantization with Semantic Anchoring for Low-Bitrate High-Fidelity Neural Speech Codecs. CoRR Zhongren Dong, Bin Wang, Jing Han, Haotian Guo, Xiaojun Mo, Yimin Cao, Zixing Zhang
2025	Misc	`conf`	Semi-Supervised Cognitive State Classification from Speech with Multi-View Pseudo-Labeling. ICASSP Yuanchao Li, Zixing Zhang, Jing Han, Peter Bell, Catherine Lai
2025	A*	`conf`	Structured Prompting and LLM Ensembling for Multimodal Conversational Aspect-based Sentiment Analysis. ACM Multimedia Zhiqiang Gao, Shihao Gao, Zixing Zhang, Yihao Guo, Hongyu Chen, Jing Han
2025	J	`jnl`	Structured Prompting and LLM Ensembling for Multimodal Conversational Aspect-based Sentiment Analysis. CoRR Zhiqiang Gao, Shihao Gao, Zixing Zhang, Yihao Guo, Hongyu Chen, Jing Han
2025	A*	`conf`	Tyee: A Unified, Modular, and Fully-Integrated Configurable Toolkit for Intelligent Physiological Health Care. ACM Multimedia Tao Zhou, Lingyu Shu, Zixing Zhang, Jing Han
2025	J	`jnl`	Tyee: A Unified, Modular, and Fully-Integrated Configurable Toolkit for Intelligent Physiological Health Care. CoRR Tao Zhou, Lingyu Shu, Zixing Zhang, Jing Han
2024	Misc	`conf`	Customising General Large Language Models for Specialised Emotion Recognition Tasks. ICASSP Liyizhe Peng, Zixing Zhang, Tao Pang, Jing Han, Huan Zhao, Hao Chen, Björn W. Schuller
2024	Misc	`conf`	HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's Disease Detection From Spontaneous Speech. ICASSP Zhongren Dong, Zixing Zhang, Weixiang Xu, Jing Han, Jianjun Ou, Björn W. Schuller
2024	J	`jnl`	HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's Disease Detection From Spontaneous Speech. CoRR Zhongren Dong, Zixing Zhang, Weixiang Xu, Jing Han, Jianjun Ou, Björn W. Schuller
2024	Misc	`conf`	Intelligent Cardiac Auscultation for Murmur Detection via Parallel-Attentive Models with Uncertainty Estimation. ICASSP Zixing Zhang, Tao Pang, Jing Han, Björn W. Schuller
2024	J	`jnl`	Intelligent Cardiac Auscultation for Murmur Detection via Parallel-Attentive Models with Uncertainty Estimation. CoRR Zixing Zhang, Tao Pang, Jing Han, Björn W. Schuller
2024	J	`jnl`	Re-Parameterization of Lightweight Transformer for On-Device Speech Emotion Recognition. CoRR Zixing Zhang, Zhongren Dong, Weixiang Xu, Jing Han
2024	J	`jnl`	Refashioning Emotion Recognition Modeling: The Advent of Generalized Large Models. IEEE Trans. Comput. Soc. Syst. Zixing Zhang, Liyizhe Peng, Tao Pang, Jing Han, Huan Zhao, Björn W. Schuller
2024	J	`jnl`	Semi-Supervised Cognitive State Classification from Speech with Multi-View Pseudo-Labeling. CoRR Yuanchao Li, Zixing Zhang, Jing Han, Peter Bell, Catherine Lai
2024	A*	`conf`	Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking. NeurIPS Yuwei Zhang, Tong Xia, Jing Han, Yu Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily, Jagmohan Chauhan, Cecilia Mascolo
2024	J	`jnl`	Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking. CoRR Yuwei Zhang, Tong Xia, Jing Han, Yu Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily, Jagmohan Chauhan, Cecilia Mascolo
2024	J	`jnl`	Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning. IEEE J. Biomed. Health Informatics Tong Xia, Ting Dang, Jing Han, Lorena Qendro, Cecilia Mascolo
2023	J	`jnl`	A summary of the ComParE COVID-19 challenges. Frontiers Digit. Health 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
2023	A*	`conf`	Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. KDD Ting Dang, Jing Han, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo
2023	Misc	`conf`	Cross-Device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection. ICASSP Tong Xia, Jing Han, Abhirup Ghosh, Cecilia Mascolo
2023	J	`jnl`	Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection. CoRR Tong Xia, Jing Han, Abhirup Ghosh, Cecilia Mascolo
2023	J	`jnl`	Customising General Large Language Models for Specialised Emotion Recognition Tasks. CoRR Liyizhe Peng, Zixing Zhang, Tao Pang, Jing Han, Huan Zhao, Hao Chen, Björn W. Schuller
2023	—	`conf`	Embracing the Imaginary: Deep Complex-valued Networks for Heart Murmur Detection. CinC Erika Bondareva, Georgios Rizos, Jing Han, Cecilia Mascolo
2023	J	`jnl`	Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models. CoRR Zixing Zhang, Liyizhe Peng, Tao Pang, Jing Han, Huan Zhao, Björn W. Schuller
2022	J	`jnl`	A Summary of the ComParE COVID-19 Challenges. CoRR 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
2022	J	`jnl`	COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. CoRR Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo
2022	J	`jnl`	Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder. Pattern Recognit. 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
2022	J	`jnl`	Sounds of COVID-19: exploring realistic performance of audio-based digital testing. npj Digit. Medicine Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo
2022	—	`conf`	Towards Uncertainty-Aware Murmur Detection in Heart Sounds via Tandem Learning. CinC Erika Bondareva, Tong Xia, Jing Han, Cecilia Mascolo
2021	J	`jnl`	Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift. CoRR Tong Xia, Jing Han, Cecilia Mascolo
2021	J	`jnl`	CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification. IEEE Trans. Multim. Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Björn W. Schuller
2021	—	`conf`	COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening. NeurIPS Datasets and Benchmarks Tong Xia, Dimitris Spathis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Erika Bondareva, Ting Dang, Andres Floto, Pietro Cicuta, Cecilia Mascolo
2021	J	`jnl`	Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19. IEEE Internet Things J. 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
2021	J	`jnl`	Deep Learning for Mobile Mental Health: Challenges and recent advances. IEEE Signal Process. Mag. Jing Han, Zixing Zhang, Cecilia Mascolo, Elisabeth André, Jianhua Tao, Ziping Zhao, Björn W. Schuller
2021	J	`jnl`	EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings. IEEE Trans. Affect. Comput. Jing Han, Zixing Zhang, Zhao Ren, Björn W. Schuller
2021	Misc	`conf`	Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data. ICASSP Jing Han, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
2021	J	`jnl`	Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data. CoRR Jing Han, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
2021	J	`jnl`	Exploring Perception Uncertainty for Emotion Recognition in Dyadic Conversation and Music Listening. Cogn. Comput. Jing Han, Zixing Zhang, Zhao Ren, Björn W. Schuller
2021	J	`jnl`	Fitbeat: COVID-19 Estimation based on Wristband Heart Rate. CoRR 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
2021	J	`jnl`	Internet of emotional people: Towards continual affective computing cross cultures via audiovisual signals. Future Gener. Comput. Syst. Jing Han, Zixing Zhang, Maja Pantic, Björn W. Schuller
2021	J	`jnl`	Learning audio sequence representations for acoustic event classification. Expert Syst. Appl. Zixing Zhang, Ding Liu, Jing Han, Kun Qian, Björn W. Schuller
2021	J	`jnl`	SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 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
2021	—	`conf`	Segmentation-free Heart Pathology Detection Using Deep Learning. EMBC Erika Bondareva, Jing Han, William Bradlow, Cecilia Mascolo
2021	J	`jnl`	Segmentation-free Heart Pathology Detection Using Deep Learning. CoRR Erika Bondareva, Jing Han, William Bradlow, Cecilia Mascolo
2021	J	`jnl`	Sounds of COVID-19: exploring realistic performance of audio-based digital testing. CoRR Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo
2021	A	`conf`	The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. Interspeech 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
2021	J	`jnl`	The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. CoRR 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
2021	B	`conf`	Towards Sonification in Multimodal and User-friendlyExplainable Artificial Intelligence. ICMI Björn W. Schuller, Tuomas Virtanen, Maria Riveiro, Georgios Rizos, Jing Han, Annamaria Mesaros, Konstantinos Drossos
2021	A	`conf`	Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. Interspeech Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo
2021	J	`jnl`	Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. CoRR Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo
2020	A	`conf`	An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. INTERSPEECH 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
2020	J	`jnl`	An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. CoRR 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
2020	—	`—`	Automated Deep Audiovisual Emotional Behaviour Analysis in the Wild. Jing Han
2020	J	`jnl`	CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification. CoRR Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Björn W. Schuller
2020	A	`conf`	Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models. INTERSPEECH Zhao Ren, Jing Han, Nicholas Cummins, Björn W. Schuller
2020	A*	`conf`	Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. KDD Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
2020	J	`jnl`	Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. CoRR Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
2020	Misc	`conf`	Generating and Protecting Against Adversarial Attacks for Deep Speech-Based Emotion Recognition Models. ICASSP Zhao Ren, Alice Baird, Jing Han, Zixing Zhang, Björn W. Schuller
2020	J	`jnl`	Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data. IEEE J. Biomed. Health Informatics Zixing Zhang, Jing Han, Kun Qian, Christoph Janott, Yanan Guo, Björn W. Schuller
2019	J	`jnl`	Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives [Review Article]. IEEE Comput. Intell. Mag. Jing Han, Zixing Zhang, Björn W. Schuller
2019	Misc	`conf`	Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes. ICASSP Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Björn W. Schuller
2019	Misc	`conf`	Compact Convolutional Recurrent Neural Networks via Binarization for Speech Emotion Recognition. ICASSP Huan Zhao, Yufeng Xiao, Jing Han, Zixing Zhang
2019	J	`jnl`	Dynamic Difficulty Awareness Training for Continuous Emotion Prediction. IEEE Trans. Multim. Zixing Zhang, Jing Han, Eduardo Coutinho, Björn W. Schuller
2019	J	`jnl`	EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings. CoRR Jing Han, Zixing Zhang, Zhao Ren, Björn W. Schuller
2019	Misc	`conf`	Implicit Fusion by Joint Audiovisual Training for Emotion Recognition in Mono Modality. ICASSP Jing Han, Zixing Zhang, Zhao Ren, Björn W. Schuller
2019	—	`conf`	Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data. PDH Zhao Ren, Jing Han, Nicholas Cummins, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller
2019	J	`jnl`	SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. CoRR 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
2019	J	`jnl`	Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data. CoRR Zixing Zhang, Jing Han, Kun Qian, Christoph Janott, Yanan Guo, Björn W. Schuller
2019	J	`jnl`	Synchronization in Interpersonal Speech. Frontiers Robotics AI Shahin Amiriparian, Jing Han, Maximilian Schmitt, Alice Baird, Adria Mallol-Ragolta, Manuel Milling, Maurice Gerczuk, Björn W. Schuller
2018	J	`jnl`	Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives. CoRR Jing Han, Zixing Zhang, Nicholas Cummins, Björn W. Schuller
2018	A	`conf`	Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech. INTERSPEECH Jing Han, Zixing Zhang, Maximilian Schmitt, Zhao Ren, Fabien Ringeval, Björn W. Schuller
2018	J	`jnl`	Dynamic Difficulty Awareness Training for Continuous Emotion Prediction. CoRR Zixing Zhang, Jing Han, Eduardo Coutinho, Björn W. Schuller
2018	—	`conf`	Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks. ITG Symposium on Speech Communication Zhao Ren, Nicholas Cummins, Jing Han, Sebastian Schnieder, Jarek Krajewski, Björn W. Schuller
2018	A	`conf`	Evolving Learning for Analysing Mood-Related Infant Vocalisation. INTERSPEECH Zixing Zhang, Jing Han, Kun Qian, Björn W. Schuller
2018	B	`conf`	Exploring A New Method for Food Likability Rating Based on DT-CWT Theory. ICMI Ya'nan Guo, Jing Han, Zixing Zhang, Björn W. Schuller, Yide Ma
2018	—	`conf`	Learning Image-based Representations for Heart Sound Classification. DH Zhao Ren, Nicholas Cummins, Vedhas Pandit, Jing Han, Kun Qian, Björn W. Schuller
2018	J	`jnl`	Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning. IEEE Access Zixing Zhang, Jing Han, Jun Deng, Xinzhou Xu, Fabien Ringeval, Björn W. Schuller
2018	J	`jnl`	Scaling Speech Enhancement in Unseen Environments with Noise Embeddings. CoRR Gil Keren, Jing Han, Björn W. Schuller
2018	Misc	`conf`	Towards Conditional Adversarial Training for Predicting Emotions from Speech. ICASSP Jing Han, Zixing Zhang, Zhao Ren, Fabien Ringeval, Björn W. Schuller
2018	—	`conf`	You Sound Like Your Counterpart: Interpersonal Speech Analysis. SPECOM Jing Han, Maximilian Schmitt, Björn W. Schuller
2017	A*	`conf`	From Hard to Soft: Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty. ACM Multimedia Jing Han, Zixing Zhang, Maximilian Schmitt, Maja Pantic, Björn W. Schuller
2017	J	`jnl`	Learning Audio Sequence Representations for Acoustic Event Classification. CoRR Zixing Zhang, Ding Liu, Jing Han, Björn W. Schuller
2017	Misc	`conf`	Prediction-based learning for continuous emotion recognition in speech. ICASSP Jing Han, Zixing Zhang, Fabien Ringeval, Björn W. Schuller
2017	Misc	`conf`	Reconstruction-error-based learning for continuous emotion recognition in speech. ICASSP Jing Han, Zixing Zhang, Fabien Ringeval, Björn W. Schuller
2017	J	`jnl`	Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals. Image Vis. Comput. Jing Han, Zixing Zhang, Nicholas Cummins, Fabien Ringeval, Björn W. Schuller
2017	B	`conf`	Towards intoxicated speech recognition. IJCNN Zixing Zhang, Felix Weninger, Martin Wöllmer, Jing Han, Björn W. Schuller
2016	Misc	`conf`	Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace. ICASSP Hesam Sagha, Jun Deng, Maryna Gavryukova, Jing Han, Björn W. Schuller
2016	A	`conf`	Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks. INTERSPEECH Zixing Zhang, Fabien Ringeval, Jing Han, Jun Deng, Erik Marchi, Björn W. Schuller
2016	—	`conf`	The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge. CCPR (2) Jun Deng, Nicholas Cummins, Jing Han, Xinzhou Xu, Zhao Ren, Vedhas Pandit, Zixing Zhang, Björn W. Schuller