人员简介

刘李

研究科学家

教育背景

法国格勒诺布尔-阿尔卑斯大学电子工程博士学位

研究领域
视听识别、医学影像、多媒体信息处理、机器学习、人工智能以及Cued Speech的发明和应用
个人简介

刘李博士目前在深圳市大数据研究院-香港中文大学深圳担任研究科学家。从2018年9月到2019年9月,她在加拿大多伦多瑞尔森大学(Ryerson University)计算机工程学院从事博士后研究。2015年10月到2018年9月,她在法国格勒诺布尔阿尔卑斯大学(Universite Grenoble Alpes)和法国国家科学研究中心(CNRS)共属的GIPSA-lab实验室攻读工程与机器学习博士,并于2018年9月11日获得博士学位。她现为国际电子电气工程师学会会员,信号处理协会会员以及中科院自动化所模式识别与人工智能专委会委员,中国女工委员会委员。担任IEEE/ACM Transactions on Audio, Speech, and Language Processing, Neurocomputing,Interspeech, SIGNAL等国际期刊和会议的审稿人。她的主要研究方向是:自动视听语音识别,医学影像,多媒体信息处理、小样本学习、机器学习与人工智能以及Cued Speech的发明和应用。

 

她现已以第一作者身份或通讯作者发表论文15篇,其中包括SCI论文 IEEE Transactions on Multimedia, EURASIP Journal on Image and Video Processing,SSCI论文American Annals of the Deaf,会议论文包括语音图像处理国际顶级会议ICASSP,语音处理国际顶级会议Interspeech,欧洲信号处理顶级会议Eusipco以及人工智能CCF级会议ICTAI,ICPR和ISBI。她在2017年荣获法国Sephora Berribi数学与计算机领域女性科学家奖学金 (全球当年共四位,法国与以色列各两位)。 同年获得法国语音协会(AFCP) 青年研究者奖学金。2016年,获得法国EEATS博士研究生院最佳报告奖(The best poster award)。

学术著作

[1] Li Liu*, Gang Feng, Denis Beautemps, and Xiao-Ping Zhang*. “Re-synchronization using the Hand Preceding Model for Multi-modal Fusion in Automatic Continuous Cued Speech Recognition,” IEEE Transactions on Multimedia, vol. 23, pp: 292-305, 2020.

[2] Li Liu, and Gang Feng. “A Pilot Study on Mandarin Chinese Cued Speech,” American Annals of the Deaf, vol. 164, no. 4, pp: 496-518, 2019.

[3] Li Liu*, Gang Feng, and Denis Beautemps. “Inner Lips Feature Extraction based on CLNF with Hybrid Dynamic Template for Cued Speech,” EURASIP Journal on Image and Video Processing, 2017: 88, 2017.

[4] Li Liu, Gang Feng, and Denis Beautemps. “Automatic Temporal Segmentation of Hand Movements for Hand Positions Recognition in French Cued Speech,” in Proc. ICASSP, pp: 3061-306, 2018.

[5] Li Liu, Gang Feng, and Denis Beautemps. “Automatic Dynamic Template Tracking of Inner Lips based on CLNF,” in Proc. ICASSP, pp: 5130–5134, 2017.

[6] Li Liu, Jianze Li, Gang Feng, and Xiao-Ping Zhang. “Automatic Detection of the Temporal Segmentation of Hand Movements in British English Cued Speech,” in Proc. Interspeech, pp: 2285-2289, 2019.

[7] Li Liu, Thomas Hueber, Gang Feng, and Denis Beautemps. “Visual Recognition of Continuous Cued Speech Using a Tandem CNN-HMM Approach,” in Proc. Interspeech, pp: 2643-2647, 2018.

[8] Li Liu, Gang Feng, Denis Beautemps, and Xiao-Ping Zhang. “A Novel Resynchronization Procedure for Hand-lips Fusion applied to Continuous French Cued Speech Recognition,” in Proc. EUSIPCO, pp: 1-5, 2019.

[9] Li Liu, Gang Feng, and Denis Beautemps. “Inner Lips Parameter Estimation based on Adaptive Ellipse Model,” in Proc. AVSP, 2017.

[10] Li Liu, Gang Feng, and Denis Beautemps. “Extraction Automatique de Contour de Lèvre à partir du Modèle CLNF,” in Proc. JEP, 2016.

[11] Li Liu, Jian-Ze Li. Quotient and pseudo unit in non-unital operator system, Bull. Aust. Math. Soc., 92(1), 123-132, 2015.

[12] Jianrong Wang, Ge Zhang, Zhenyu Wu, Xuewei Li, and Li Liu*. “Self-supervised Depth Estimation via Implicit Cues from Videos,” accepted by ICASSP, 2021.

[13] Jianrong Wang, Tong Wu, Shanyu Wang, Mei Yu, Qiang Fang, Ju Zhang, and Li Liu*. “Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition,” in Proc. ICPR, 2020.

[14] Lei Liu, Wentao Lei, Yongfang Luo, Cheng Feng, Xiang Wan, and Li Liu*. “Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification,” in Proc. ICTAI, 2020.

[15] Lufei Gao, Ruisong Zhou, Changfeng Dong, Cheng Feng, Zhen Li, Xiang Wan, and Li Liu*. “Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography,” accepted by ISBI, 2021.