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 GeNational 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
Zhilei LiuTianjin UniversityVerified email at tju.edu.cn
Qiang YuTianjin UniversityVerified email at tju.edu.cn
Seiichi NakagawaChubu University (Toyohashi University of Technology, emeritus professor)Verified email at isc.chubu.ac.jp
Qinghua HuProfessor of Computer Science, Tianjin UniversityVerified email at tju.edu.cn
He RuifangTianjin UniversityVerified email at tju.edu.cn
Pascal PerrierProfesseur, Gipsa-lab, Grenoble INP, Grenoble, FranceVerified email at gipsa-lab.grenoble-inp.fr
Dongxiao HeTianjin University, Associate Professor of Computer ScienceVerified email at tju.edu.cn
Ju ZhangPhD Candidate, School of Computer Science and Technology, Tianjin UniversityVerified email at tju.edu.cn
Haizhou LiThe Chinese University of Hong Kong, Shenzhen, China; NUS, SingaporeVerified email at u.nus.edu
Yuke SiTianjin UniversityVerified email at tju.edu.cn
Xiaobao Wang天津大学 Assistant ProfessorVerified email at tju.edu.cn
Konstantin MarkovProfessor of Information technology, The University of AizuVerified email at u-aizu.ac.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	211	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	211	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	202	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	156	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	142	2011
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	97	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	87	2002
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	83	2019
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	70	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	60	2018
Combined node and link partitions method for finding overlapping communities in complex networks D Jin, B Gabrys, J Dang Scientific reports 5 (1), 1-8, 2015	56	2015
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	55	2014
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	54	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	53	2020
A computational tongue model and its clinical application S Fujita, J Dang, N Suzuki, K Honda Oral Science International 4 (2), 97-109, 2007	52	2007
Improved support vector machine algorithm for heterogeneous data S Peng, Q Hu, Y Chen, J Dang Pattern Recognition 48 (6), 2072-2083, 2015	51	2015
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	48	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	47	2019
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	46	2018

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