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 | 271 | 2016 |
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 | 83 | 2017 |
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 | 74 | 2015 |
Speech Bandwidth Extension Based on Deep Neural Networks Y Wang, Z Zhao, W Liu, J Kuang INTERSPEECH 2015, 2015 | 43 | 2015 |
Insights in-to-end learning scheme for language identification W Cai, Z Cai, W Liu, X Wang, M Li 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 38 | 2018 |
Speaker verification and spoken language identification using a generalized i-vector framework with phonetic tokenizations and tandem features M Li, W Liu INTERSPEECH 2014, 2014 | 31 | 2014 |
End-to-End Deep Learning Framework for Speech Paralinguistics Detection Based on Perception Aware Spectrum. D Cai, Z Ni, W Liu, W Cai, G Li, M Li, D Cai, Z Ni, W Liu, W Cai INTERSPEECH, 3452-3456, 2017 | 26 | 2017 |
Response to name: A dataset and a multimodal machine learning framework towards autism study W Liu, T Zhou, C Zhang, X Zou, M Li 2017 Seventh International Conference on Affective Computing and Intelligent …, 2017 | 22 | 2017 |
Generalized I-vector Representation with Phonetic Tokenizations and Tandem Features for both Text Independent and Text Dependent Speaker Verification M Li, W Liu Journal of Signal Processing Systems, 1-9, 2015 | 21 | 2015 |
Generalized Transitive Distance with Minimum Spanning Random Forest Z Yu, W Liu, L Wenbo, X Peng, Z Hui, V Bhagavatula Proceedings of the Twenty-Fourth international joint conference on …, 2015 | 15 | 2015 |
A multimodal machine learning system in early screening for toddlers with autism spectrum disorders based on the response to name F Zhu, S Wang, W Liu, H Zhu, M Li, X Zou Frontiers in Psychiatry 14, 1039293, 2023 | 14 | 2023 |
Transitive Distance Clustering with K-Means Duality Z Yu, C Xu, D Meng, Z Hui, F Xiao, W Liu, J Liu Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014 | 12 | 2014 |
A novel correspondence-based face-hallucination method Z Hui, W Liu, KM Lam Image and Vision Computing 60, 171-184, 2017 | 10 | 2017 |
An iterative framework for unsupervised learning in the plda based speaker verification W Liu, Z Yu, M Li The 9th International Symposium on Chinese Spoken Language Processing, 78-82, 2014 | 10 | 2014 |
On order-constrained transitive distance clustering Z Yu, W Liu, W Liu, Y Yang, M Li, BVKV Kumar Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 7 | 2016 |
Discriminative dictionary learning for autism Spectrum disorder identification W Liu, M Li, X Zou, B Raj Frontiers in Computational Neuroscience 15, 662401, 2021 | 1 | 2021 |
Fixation Based Object Recognition in Autism Clinic Setting S Sun, S Li, W Liu, X Zou, M Li Intelligent Robotics and Applications: 12th International Conference, ICIRA …, 2019 | 1 | 2019 |
Joint recognition/segmentation with cascaded multi-level feature classification and confidence propagation W Liu, Z Yu, D Meng Multimedia and Expo, 2013 IEEE International Conference on, 1-4, 2013 | 1 | 2013 |
Identifying Children Autism Spectrum Disorder via Machine Learning based Behavior Analysis W Liu Carnegie Mellon University, 2022 | | 2022 |
Locality Constrained Transitive Distance Clustering on Speech Data W Liu, Z Yu, B Raj, ML Li INTERSPEECH 2015, 2015 | | 2015 |