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
Di JinTianjin University, ProfessorVerified email at tju.edu.cn
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
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
He RuifangTianjin UniversityVerified email at tju.edu.cn
Pascal PerrierProfesseur, Gipsa-lab, Grenoble INP, Grenoble, FranceVerified email at gipsa-lab.grenoble-inp.fr
Haizhou LiThe Chinese University of Hong Kong, Shenzhen, China; NUS, SingaporeVerified email at u.nus.edu
Xiaobao Wang天津大学 Assistant ProfessorVerified email at tju.edu.cn
Dongxiao HeTianjin University, Associate Professor of Computer ScienceVerified email at tju.edu.cn
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	213	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	213	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	208	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	159	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	145	2011
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	101	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	99	1996
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	93	2020
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	90	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	69	2020
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
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	61	2018
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	59	2020
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	59	2014
A computational tongue model and its clinical application S Fujita, J Dang, N Suzuki, K Honda Oral Science International 4 (2), 97-109, 2007	56	2007
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	55	2019
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	55	2018
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	55	2015
Implicit discourse relation recognition using neural tensor network with interactive attention and sparse learning F Guo, R He, D Jin, J Dang, L Wang, X Li Proceedings of the 27th International Conference on Computational …, 2018	54	2018
Improved support vector machine algorithm for heterogeneous data S Peng, Q Hu, Y Chen, J Dang Pattern Recognition 48 (6), 2072-2083, 2015	54	2015

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