Jianwu Dang

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Longbiao WangProfessor, Tianjin UniversityVerified email at tju.edu.cn
Jianguo WeiTianjin universityVerified email at tju.edu.cn
Xugang LuNational Institute of Information and Communications Technology (NICT), JapanVerified email at nict.go.jp
Meng GeTianjin University; CUHK-Shenzhen; National University of SingaporeVerified email at nus.edu.sg
Gaoyan ZhangTianjin key lab of cognitive computing and its application, Tianjin UniversityVerified email at tju.edu.cn
Di JinTianjin University, ProfessorVerified email at tju.edu.cn
Masato AkagiProfessor of Japan Advanced Institute of Science and TechnologyVerified email at jaist.ac.jp
Masashi UnokiJAISTVerified email at jaist.ac.jp
Qiang YuTianjin UniversityVerified email at tju.edu.cn
Qinghua HuProfessor of Computer Science, Tianjin UniversityVerified email at tju.edu.cn
Seiichi NakagawaChubu University (Toyohashi University of Technology, emeritus professor)Verified email at isc.chubu.ac.jp
Xiaobao Wang天津大学 Associate ProfessorVerified email at tju.edu.cn
He RuifangTianjin UniversityVerified email at tju.edu.cn
Haizhou LiThe Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China; NUS, SingaporeVerified email at u.nus.edu
Dongxiao HeTianjin University, Professor of Computer ScienceVerified email at tju.edu.cn
Pascal PerrierProfesseur, Gipsa-lab, Grenoble INP, Grenoble, FranceVerified email at gipsa-lab.grenoble-inp.fr
Yuke SiTianjin UniversityVerified email at tju.edu.cn
Ju ZhangPhD Candidate, School of Computer Science and Technology, Tianjin UniversityVerified email at tju.edu.cn
Konstantin MarkovProfessor of Information technology, The University of AizuVerified email at u-aizu.ac.jp
Satoshi NakamuraNara Institute of Science and TechnologyVerified email at is.naist.jp

Jianwu Dang

JAIST, Japan / Tianjin Univ., China

Verified email at jaist.ac.jp

Speech Science speech production EEG disorder speech


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Acoustic characteristics of the piriform fossa in models and humans J Dang, K Honda The Journal of the Acoustical Society of America 101 (1), 456-465, 1997	226	1997
Morphological and acoustical analysis of the nasal and the paranasal cavities J Dang, K Honda, H Suzuki The Journal of the Acoustical Society of America 96 (4), 2088-2100, 1994	222	1994
Construction and control of a physiological articulatory model J Dang, K Honda The Journal of the Acoustical Society of America 115 (2), 853-870, 2004	211	2004
An investigation of dependencies between frequency components and speaker characteristics for text-independent speaker identification X Lu, J Dang Speech communication 50 (4), 312-322, 2008	169	2008
Voice activity detection based on an unsupervised learning framework D Ying, Y Yan, J Dang, FK Soong IEEE Transactions on Audio, Speech, and Language Processing 19 (8), 2624-2633, 2011	155	2011
Spex+: A complete time domain speaker extraction network M Ge, C Xu, L Wang, ES Chng, J Dang, H Li arXiv preprint arXiv:2005.04686, 2020	149	2020
Multi-kernel SVM based depression recognition using social media data Z Peng, Q Hu, J Dang International Journal of Machine Learning and Cybernetics 10, 43-57, 2019	137	2019
Acoustic characteristics of the human paranasal sinuses derived from transmission characteristic measurement and morphological observation J Dang, K Honda The Journal of the Acoustical Society of America 100 (5), 3374-3383, 1996	103	1996
Estimation of vocal tract shapes from speech sounds with a physiological articulatory model J Dang, K Honda Journal of Phonetics 30 (3), 511-532, 2002	93	2002
Relation modeling with graph convolutional networks for facial action unit detection Z Liu, J Dong, C Zhang, L Wang, J Dang MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South …, 2020	82	2020
Speech emotion recognition using 3d convolutions and attention-based sliding recurrent networks with auditory front-ends Z Peng, X Li, Z Zhu, M Unoki, J Dang, M Akagi IEEE Access 8, 16560-16572, 2020	79	2020
Incorporating network structure with node contents for community detection on large networks using deep learning J Cao, D Jin, L Yang, J Dang Neurocomputing 297, 71-81, 2018	69	2018
Exploration of complementary features for speech emotion recognition based on kernel extreme learning machine L Guo, L Wang, J Dang, Z Liu, H Guan IEEE Access 7, 75798-75809, 2019	67	2019
Speech emotion recognition with local-global aware deep representation learning J Liu, Z Liu, L Wang, L Guo, J Dang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020	66	2020
A feature fusion method based on extreme learning machine for speech emotion recognition L Guo, L Wang, J Dang, L Zhang, H Guan 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018	66	2018
Fuzzy rough regression with application to wind speed prediction S An, H Shi, Q Hu, X Li, J Dang Information Sciences 282, 388-400, 2014	65	2014
Integration of articulatory and spectrum features based on the hybrid HMM/BN modeling framework K Markov, J Dang, S Nakamura Speech Communication 48 (2), 161-175, 2006	62	2006
A computational tongue model and its clinical application S Fujita, J Dang, N Suzuki, K Honda Oral Science International 4 (2), 97-109, 2007	61	2007
Combined node and link partitions method for finding overlapping communities in complex networks D Jin, B Gabrys, J Dang Scientific reports 5 (1), 8600, 2015	59	2015
Improved support vector machine algorithm for heterogeneous data S Peng, Q Hu, Y Chen, J Dang Pattern Recognition 48 (6), 2072-2083, 2015	58	2015

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