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Ming Li
Ming Li
Duke Kunshan University
Verified email at dukekunshan.edu.cn
Title
Cited by
Cited by
Year
Sphereface: Deep hypersphere embedding for face recognition
W Liu, Y Wen, Z Yu, M Li, B Raj, L Song
Proceedings of the IEEE conference on computer vision and pattern …, 2017
20942017
Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System
W Cai, J Chen, M Li
ODYSSEY, 2018
2592018
Automatic speaker age and gender recognition using acoustic and prosodic level information fusion
M Li, KJ Han, S Narayanan
Computer Speech & Language 27 (1), 151-167, 2013
2042013
Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework
W Liu, M Li, L Yi
Autism Research 9 (8), 888-898, 2016
1572016
Multimodal physical activity recognition by fusing temporal and cepstral information
M Li, V Rozgić, G Thatte, S Lee, A Emken, M Annavaram, U Mitra, ...
IEEE Transactions on neural systems and rehabilitation engineering 18 (4 …, 2010
1492010
Robust ECG biometrics by fusing temporal and cepstral information
M Li, S Narayanan
2010 20th International Conference on Pattern Recognition, 1326-1329, 2010
1292010
KNOWME: a case study in wireless body area sensor network design
U Mitra, BA Emken, S Lee, M Li, V Rozgic, G Thatte, H Vathsangam, ...
IEEE Communications Magazine 50 (5), 116-125, 2012
1002012
Polyphone Disambiguation for Mandarin Chinese Using Conditional Neural Network with Multi-level Embedding Features
Z Cai, Y Yang, C Zhang, X Qin, M Li
Interspeech 2019, 2019
95*2019
Entity disambiguation by knowledge and text jointly embedding
W Fang, J Zhang, D Wang, Z Chen, M Li
Proceedings of The 20th SIGNLL Conference on Computational Natural Language …, 2016
802016
Automatic intelligibility classification of sentence-level pathological speech
J Kim, N Kumar, A Tsiartas, M Li, SS Narayanan
Computer speech & language 29 (1), 132-144, 2015
782015
Countermeasures for Automatic Speaker Verification Replay Spoofing Attack: On Data Augmentation, Feature Representation, Classification and Fusion.
W Cai, D Cai, W Liu, G Li, M Li
INTERSPEECH, 17-21, 2017
652017
A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification
W Cai, Z Cai, X Zhang, X Wang, M Li
ICASSP, 2018
622018
Simplified supervised i-vector modeling with application to robust and efficient language identification and speaker verification
M Li, S Narayanan
Computer Speech & Language 28 (4), 940-958, 2014
582014
Speaker verification using sparse representations on total variability i-vectors
M Li, X Zhang, Y Yan, S Narayanan
Twelfth Annual Conference of the International Speech Communication Association, 2011
582011
Innovations in the Use of Interactive Technology to Support Weight Management
D Spruijt-Metz, CKF Wen, G O’Reilly, M Li, S Lee, BA Emken, U Mitra, ...
Current Obesity Reports 4 (4), 510-519, 2015
562015
LSTM Based Similarity Measurement with Spectral Clustering for Speaker Diarzation
Q Lin, R Yin, M Li, H Bredin, C Barras
Interspeech, 2019
532019
Robust real-time distributed optimal control based energy management in a smart grid
Y Xu, Z Yang, W Gu, M Li, Z Deng
IEEE Transactions on Smart Grid 8 (4), 1568-1579, 2015
522015
Intoxicated speech detection by fusion of speaker normalized hierarchical features and GMM supervectors
D Bone, MP Black, M Li, A Metallinou, S Lee, S Narayanan
Twelfth Annual Conference of the International Speech Communication Association, 2011
482011
Facial Expression Recognition with Identity and Emotion Joint Learning
X Li, Ming and Xu, Hao and Huang, Xingchang and Song, Zhanmei and Liu ...
IEEE Transactions on Affective Computing, 2018
462018
Efficient autism spectrum disorder prediction with eye movement: A machine learning framework
W Liu, X Yu, B Raj, L Yi, X Zou, M Li
2015 International Conference on Affective Computing and Intelligent …, 2015
462015
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Articles 1–20