Prof. MENG, Mei Ling, Helen 蒙 美 玲 教授
Patrick Huen Wing Ming Professor of Systems Engineering & Engineering Management
SB,SM,PhD (Massachusetts Institute of Technology)
Research Interests :
* Big Data Decision
* Multilingual Speech and
* Multimedia Content
* Multimodal Human-
Office: Room 607, William M.W. Mong Engineering Building
Helen Meng is Patrick Huen Wing Ming Professor of Systems Engineering & Engineering Management at The Chinese University of Hong Kong. She received all her degrees from MIT and joined CUHK in 1998. She is the Founding Director of the Microsoft-CUHK Joint Laboratory for Human-Centric Computing and Interface Technologies in 2005, which has been recognized as a Ministry of Education of China (MoE) Key Laboratory since 2008. In 2006, she founded the Tsinghua-CUHK Joint Research Centre for Media Sciences, Technologies and Systems and has served as its Director. In 2013, she helped establish the CUHK Stanley Ho Big Data Decision Analytics Research Center and serves as its Founding Director. She served as former Associate Dean (Research) of Engineering (2006-2010), and former Chairman of the Department (2012-2018).
Helen’s professional services include former Editor-in-Chief of the IEEE Transactions on Audio, Speech and Language Processing, and a member of the IEEE Board of Governors. She has served or is serving as a member of the Advisory Panel of the Hong Kong Science and Technology Park Corporation, the review panels of the Swedish Research Council European Research Infrastructure Initiative, and the National Centres of Competence in Research of the Swiss National Science Foundation. She is a member of the HKSAR Government’s Steering Committee on eHealth Record Sharing, Convenor of the Engineering Panel HKSAR Government’s Competitive Research Funding Schemes for the Self-financing Degree Sector, member of the Hong Kong/Guangdong ICT Expert Committee and Coordinator of the Working Group on Big Data Research and Applications, Council membership of the Open University of Hong Kong, member of the Research Grants Council, former Council Member of the Hong Kong Productivity Council, former member of the HKSAR Government’s Digital 21 Strategy Advisory Committee, and Chairlady of the Working Party of the Manpower Survey of the Information Technology Sector (undertaken by the Hong Kong Census and Statistics Department) for 2014-2017.
Helen is a recognized scholar in her field. She leads the interdisciplinary research team that received the first Theme-based Research Scheme Project in Artificial Intelligence in 2019. Her recent awards include 2019 IEEE Signal Processing Society Leo L Beranek Meritorious Service Award, 2018 CogInfoComm Best Paper Award, 2017 Outstanding Women Professional Award (one of 20 since 1999), 2016 Microsoft Research Outstanding Collaborator Award (one of 32 academics worldwide), 2016 IBM Faculty Award, 2016 IEEE ICME Best Paper Award, 2015 ISCA Distinguished Lecturer, 2015 HKCS inaugural Outstanding ICT Women Professional Award and 2012 Asia-Pacific Signal and Information Processing Association (APSIPA) inaugural Distinguished Lecturer. Prior to that, she has also received such awards as the CUHK Faculty of Engineering Exemplary Teaching Award, Young Researcher Award and Service Award; APSIPA Best Oral Paper Award, and 2009 Ministry of Education Higher Education Outstanding Scientific Research Output Award in Technological Advancements. She has delivered numerous invited and keynote talks, such as IEEE SIDAS 2016, ASTRI-HPE Conference 2016, Internet Economy Summit 2017, GMIC 2017, INTERSPEECH 2018 Plenary, SIGDIAL 2019 Keynote, etc. She is a Fellow of the Hong Kong Computer Society, Hong Kong Institution of Engineers, International Speech Communication Association and IEEE.
Disong Wang, Jianwei Yu, Xixin Wu, Songxiang Liu, Lifa Sun, Xunying Liu, Helen Meng, “End-To-End Voice Conversion Via Cross-Modal Knowledge Distillation for Dysarthric Speech Reconstruction”, EEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020.
Wai-Kim Leung, Xunying Liu and Helen Meng, “CNN-RNN-CTC Based End-to-end Mispronunciation Detection and Diagnosis”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019.
King Keung Wu, Helen Meng, Yeung Yam, “Topic Discovery via Convex Polytopic Model: A Case Study with Small Corpora”, in the 9th IEEE International Conference on Cognitive Infocommunications (CogInfoCom). Budapest, Hungary, 22-24 August, 2018. (Best Paper Award)
Runnan Li, Zhiyong Wu, Yuchen Huang, Jia Jia, Helen Meng, Lianhong Cai, “Emphatic Speech Generation with Conditional Input Layer and Bidirectional LSTMs for Expressive Speech Synthesis”, in the Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5129-5133. Calgary, Canada, 15-20 April, 2018.
Xixin Wu, Lifa Sun, Shiyin Kang, Songxiang Liu, Zhiyong Wu, Xunying Liu, Helen Meng, “Feature Based Adaptation for Speaker Style Synthesis”, in the Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5304-5308. Calgary, Canada, 15-20 April, 2018.
Kun Li, Shaoguang Mao, Xu Li, Zhiyong Wu, Helen Meng, “Automatic lexical stress and pitch accent detection for L2 English speech using multi-distribution deep neural networks”, Speech Communication, 2018, 96: 28-36.
Pengfei Liu, King Keung Wu and Helen Meng, “A Model of Extended Paragraph Vector for Document Categorization and Trend Analysis”, In Proceedings of the International Joint Conference on Neural Networks (IJCNN), Alaska, USA, May 14-19, 2017, IEEE.
Kun Li, Xixin Wu and Helen Meng, “Intonation classification for L2 English speech using multi-distribution deep neural networks”, Computer Speech & Language, May 2017, Vol. 43: 18-33
Kun Li, Xiaojun Qian, and Helen Meng, “Mispronunciation Detection and Diagnosis in L2 English Speech Using Multi-Distribution Deep Neural Networks”, IEEE/ACM Trans. Audio, Speech & Language Processing, January 2017.
Lifa Sun, Kun Li, Hao Wang, Shiyin Kang and Helen Meng, “Phonetic Posteriorgrams for Many-to-one Voice Conversion without Parallel Data Training”, in the Proceedings of the 2016 IEEE International Conference on Multimedia and Expo (ICME 2016), Seattle, USA, 11-15 July, 2016. (Best Paper Award)