Zhao Ren

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Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGZweryfikowany adres z tum.de
Kun Qian 钱昆 (Prof. Dr.-Ing., SMIEEE)Professor, Beijing Institute of TechnologyZweryfikowany adres z bit.edu.cn
Zixing ZhangProfessor, Hunan UniversityZweryfikowany adres z hnu.edu.cn
Nicholas CumminsKing's College LondonZweryfikowany adres z kcl.ac.uk
Jing HanUniversity of CambridgeZweryfikowany adres z cam.ac.uk
Vedhas PanditUniversity of Augsburg, AmdocsZweryfikowany adres z informatik.uni-augsburg.de
Shahin AmiriparianHuawei; Technische Universität MünchenZweryfikowany adres z huawei.com
Yoshiharu YamamotoUniversity of TokyoZweryfikowany adres z p.u-tokyo.ac.jp
Alice BairdUniversity of Augburg, Hume AIZweryfikowany adres z hume.ai
Ziping ZhaoTianjin Normal UniversityZweryfikowany adres z tjnu.edu.cn
Fabien RingevalAssociate Professor, Université Grenoble Alpes, LIG, FranceZweryfikowany adres z imag.fr
Wolfgang NejdlProfessor of Computer Science, Leibniz Universität Hannover, L3S Research Center, Hannover, GermanyZweryfikowany adres z kbs.uni-hannover.de
Adria Mallol-RagoltaResearcher, Chair of Health Informatics, Technical University of MunichZweryfikowany adres z tum.de
Qiuqiang KongThe Chinese University of Hong KongZweryfikowany adres z ee.cuhk.edu.hk
Mark D. PlumbleyCentre for Vision, Speech and Signal Processing (CVSSP), University of SurreyZweryfikowany adres z surrey.ac.uk
Meishu SongThe University of TokyoZweryfikowany adres z p.u-tokyo.ac.jp
Eva-Maria MessnerScientific staff, Ulm UniversityZweryfikowany adres z uni-ulm.de
Maja PanticFacebook (United States) / Imperial College LondonZweryfikowany adres z imperial.ac.uk
Katrin D. Bartl-PokornyMedical University of Graz, Austria & Technical University of Munich, GermanyZweryfikowany adres z medunigraz.at
Florian B. PokornyMedical University of Graz, Austria & Technical University of Munich, GermanyZweryfikowany adres z medunigraz.at

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Zhao Ren

Univeristy of Bremen

Zweryfikowany adres z uni-bremen.de - Strona główna

Deep Learning Computational Paralinguistics Computer Audition Silent Speech Interface Healthcare


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition F Ringeval, B Schuller, M Valstar, N Cummins, R Cowie, L Tavabi, ... Proceedings of the 9th International on Audio/visual Emotion Challenge and …, 2019	365	2019
A survey of machine unlearning TT Nguyen, TT Huynh, Z Ren, PL Nguyen, AWC Liew, H Yin, ... arXiv preprint arXiv:2209.02299, 2022	282	2022
The interspeech 2018 computational paralinguistics challenge: Atypical & self-assessed affect, crying & heart beats BW Schuller, S Steidl, A Batliner, PB Marschik, H Baumeister, F Dong, ... 19th Annual Conference of the International Speech Communication …, 2018	151	2018
Deep Scalogram Representations for Acoustic Scene Classification Z Ren, K Qian, Z Zhang, V Pandit, A Baird, B Schuller IEEE/CAA Journal of Automatica Sinica 5 (3), 662-669, 2018	146	2018
An early study on intelligent analysis of speech under COVID-19: Severity, sleep quality, fatigue, and anxiety J Han, K Qian, M Song, Z Yang, Z Ren, S Liu, J Liu, H Zheng, W Ji, ... arXiv preprint arXiv:2005.00096, 2020	134	2020
Exploring Deep Spectrum Representations via Attention-based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition Z Zhao, Z Bao, Y Zhao, Z Zhang, N Cummins, Z Ren, B Schuller IEEE Access, 2019	134	2019
Learning image-based representations for heart sound classification Z Ren, N Cummins, V Pandit, J Han, K Qian, B Schuller Proceedings of the 2018 international conference on digital health, 143-147, 2018	91	2018
Attention-based Convolutional Neural Networks for Acoustic Scene Classification Z Ren, Q Kong, K Qian, MD Plumbley, BW Schuller DCASE Workshop, 39-43, 2018	78	2018
A comparison of acoustic and linguistics methodologies for Alzheimer’s dementia recognition N Cummins, Y Pan, Z Ren, J Fritsch, VS Nallanthighal, H Christensen, ... Interspeech 2020, 2182-2186, 2020	77	2020
Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes Z Ren, Q Kong, J Han, M Plumbley, BW Schuller 2019 Proceedings IEEE International Conference on Acoustics, Speech and …, 2019	74	2019
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings J Han, Z Zhang, Z Ren, B Schuller IEEE Transactions on Affective Computing, 2019	68	2019
Deep attention-based neural networks for explainable heart sound classification Z Ren, K Qian, F Dong, Z Dai, W Nejdl, Y Yamamoto, BW Schuller Machine Learning with Applications 9, 100322, 2022	55	2022
Deep sequential image features on acoustic scene classification Z Ren, V Pandit, K Qian, Z Yang, Z Zhang, B Schuller DCASE, 113-117, 2017	54	2017
Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS–the Heart Sounds Shenzhen Corpus F Dong, K Qian, Z Ren, A Baird, X Li, Z Dai, B Dong, F Metze, ... IEEE Journal of Biomedical and Health Informatics, 1--13, 2019	53	2019
Implicit fusion by joint audiovisual training for emotion recognition in mono modality J Han, Z Zhang, Z Ren, B Schuller ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019	52	2019
Wavelets revisited for the classification of acoustic scenes K Qian, Z Ren, V Pandit, Z Yang, Z Zhang, B Schuller DCASE, 108-112, 2017	41	2017
Generating and Protecting Against Adversarial Attacks for Deep Speech-based Emotion Recognition Models Z Ren, A Baird, J Han, Z Zhang, B Schuller Proc. ICASSP, 2020	39	2020
CAA-Net: Conditional atrous CNNs with attention for explainable device-robust acoustic scene classification Z Ren, Q Kong, J Han, MD Plumbley, BW Schuller IEEE Transactions on Multimedia 23, 4131-4142, 2020	35	2020
Prototype learning for interpretable respiratory sound analysis Z Ren, TT Nguyen, W Nejdl ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022	34	2022
The University of Passau open emotion recognition system for the multimodal emotion challenge J Deng, N Cummins, J Han, X Xu, Z Ren, V Pandit, Z Zhang, B Schuller Pattern Recognition: 7th Chinese Conference, CCPR 2016, Chengdu, China …, 2016	32	2016

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