Publications

Patents

  • Wenbo Liu,et al., 2020, GAN-based AI Synthesized Digital Human. (Filed)

  • Wenbo Liu,et al., 2015, A Machine Learning based ASD Prediction Method. (ID: 201510507634.0)

Journal Papers

  • Wenbo Liu, Ming Li, Xiaobing Zou and Bhiksha Raj, “Discriminative Dictionary Learning for Autism Spectrum Disorder Identification.” Frontiers in Computational Neuroscience, 2021.

    • Zhuo Hui, Wenbo Liu and Kin-Man Lam, “A Novel Correspondence-based Face-hallucination Method.” Image and Vision Computing, 2017.

    • Wenbo Liu, Ming Li and Li Yi, “Identifying Children with Autism Spectrum Disorder Based on Their Face Processing Abnormality: A Machine Learning Framework,” Autism Research, 2016.

    • Ming Li, Lun Liu, Weicheng Cai and Wenbo Liu, “Generalized I-vector Representation with Phonetic Tokenizations and Tandem Features for both Text Independent and Text Dependent Speaker Verification,” Journal of Signal Processing Systems, 2015.

Conference Papers

    • Weicheng Cai, Zexin Cai, Wenbo Liu, Xiaoqi Wang, Ming Li, “Insights into End-to-End Learning Scheme for Language Identification.” ICASSP, 2018.

    • Wenbo Liu, Tianyan Zhou, Chenghao Zhang, Xiaobing Zou, Ming Li, “Response to Name: A Dataset and A Multimodal Machine Learning Framework towards Autism Study.” ACII, 2017.

    • Weicheng Cai, Danwei Cai, Wenbo Liu, Ming Li, “Countermeasures for Automatic Speaker Verification Replay Spoofing Attack: On Data Augmentation, Feature Representation, Classification and Fusion.” INTERSPEECH, 2017.

    • Danwei Cai, Zhidong Ni, Wenbo Liu, Weicheng Cai, Gang Li, Ming Li, “End-to-End Deep Learning Framework for Speech Paralinguistics Detection Based on Perception Aware Spectrum.” INTERSPEECH, 2017.

    • Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li and B. V. K. Vijaya Kumar, “On Order Constrained Transitive Distance Clustering,” AAAI 2016. (26%)

    • Wenbo Liu, Zhiding Yu, Bhiksha Raj, Li Yi, Xiaobing Zou and Ming Li, “Efficient Autism Spectrum Disorder Prediction with Eye Movement: A Machine Learning Framework,” ACII 2015.

    • Wenbo Liu, Zhiding Yu, Bhiksha Raj and Ming Li, “Locality Constrained Transitive Distance Clustering on Speech Data,” INTERSPEECH 2015.

    • Yingxue Wang, Zhaohui Zhao, Wenbo Liu and Jingming Kuang, “Speech Bandwidth Extension Based on Deep Neural Networks,” INTERSPEECH 2015.

    • Zhiding Yu, Weiyang Liu, Wenbo Liu, Xi Peng, Zhuo Hui and B.V.K. Vijaya Kumar, “Generalized Transitive Distance with Minimum Spanning Random Forest,” IJCAI 2015. (Long Oral, 28.8%)

    • Wenbo Liu, Zhiding Yu and Ming Li, “An Iterative Framework for Unsupervised Learning in the PLDA based Speaker Verification,” Int. Symposium on Chinese Spoken Language Processing (ISCSLP) 2014. (Best Student Paper)

    • Ming Li and Wenbo Liu, “Speaker verification and spoken language identification using a generalized I-vector framework with phonetic tokenizations and tandem features,” INTERSPEECH 2014.

    • Zhiding Yu, Chunjing Xu, Deyu Meng, Zhuo Hui, Fanyi Xiao, Wenbo Liu and Jianzhuang Liu, “Transitive Distance Clustering with K-Means Duality,” CVPR 2014. (29.9%)

    • Wenbo Liu, Zhiding Yu and Deyu Meng, “Joint Recognition / Segmentation with Cascaded Multi-level Feature Classification and Confidence Propagation,” IEEE International Conference on Multimedia & Expo (ICME) 2013, San Jose, USA.