ACSSC Accepts Paper by SSE Student Lin Zhen
Minimax Design of Constant Modulus MIMO Waveforms, a paper written by CUHK-Shenzhen student LIN Zhen, was accepted by the IEEE-ACSSC conference in July 2018. Lin, currently an SSE undergraduate majoring in Statistical Science, is invited to give a speech at the conference as the first author.
Academic Seminar | Advances in Robust Statistics for Signal Processing
You are cordially invited to the academic seminar delivered by Professor Abdelhak M. Zoubir.
Academic Seminar | Toward safe physical human interactions: Wearable sensing and soft sensing technologies
You are cordially invited to the speech delivered by Professor Jung Kim.
【CUHK Distinguished Lecture Series】AI in Spoken Language Technologies for Learning and Wellbeing
Spoken language is a primary form of human communication. AI in spoken language technologies must incorporate knowledge of acoustics, phonetics and linguistics in analyzing speech. While AI has made great strides in general speech recognition and achieved human parity in performance, our research team at CUHK has been focusing on the problems of recognizing and analyzing non-native, learners’ speech for the purpose of mispronunciation detection and diagnosis in computer-aided pronunciation training. To generate corrective feedback that is personalized to enhance the learning experience, we have also developed an approach that uses phonetic posterior-grams (PPGs) for personalized, cross-lingual text-to-speech synthesis given arbitrary textual input, based on voice conversion techniques. We have also extended our work to benefit those with speech disorders, focusing on assistive technologies for alternative and augmented communication, as well as automated recognition and analyses of dysarthric speech recordings. The analyses are intended to inform intervention strategies. Additionally, voice conversion is further developed to restore disordered speech to normal speech, based only on very sparse data from the target speaker. In this talk, I will present the challenges in these problems, our approaches and solutions, as well as our ongoing work.
Lv Yiwei from SSE Selected for the RISS Programme at Carnegie Mellon University
Lv Yiwei was selected for this year's RISS programme at the prestigious School of Computer Science at Carnegie Mellon University (CMU). RISS is a top summer scholarship programme and only about 35 people are eligible for inclusion.
With deep grief, we inform you sad demise of our best friend, colleague--Prof. Yang Zijiang of School of Science and Engineering. He left us on 26th June because of the illness.
Forum || Change-point Detection and Diagnosis, Quality Data Analytics, and Applications to Finance, Health and Manufacturing
The forum “Change-point Detection and Diagnosis, Quality Data Analytics, and Applications to Finance, Health and Manufacturing” is going to be held by Shenzhen Research Institute of Bid Data and The Chinese University of Hong Kong, Shenzhen. We have invited speakers from top academia (Stanford, CUHK, SBU, HKUST, SJTU, SCUT, CUHKSZ) to share views on change-point detection and diagnosis, quality data analytics, and applications to finance, health and manufacturing.
Forum || Intelligence and Networking
The forum " Intelligence and Networking " is going to be held in CUHK-Shenzhen. We have invited more than ten academicians of the Chinese Academy of Engineering, academicians of the Chinese Academy of Sciences, and guests from academics and industry. The forum will be conducted in Chinese.
CUHKSZ Conference on Computational Biology and Bioinformatics
The Conference on Computational Biology and Bioinformatics, sponsored by the Warshel Institute for Computational Biology and the School of Science and Engineering at CUHKSZ, will be held on April 19, 2018.
Academic Forum | Complex Data in Modern Science and Technology
The forum "Complex Data in Modern Science and Technology" is going to be held by Shenzhen Research Institute of Big Data and CUHKSZ-Stanford Center for Data Science, AI, and Frontier Applications. We have invited speakers from top industries (Tencent and Huawei) and top academia (BGI, HKU, CUHK, HKUST, MPI, UM, Stanford, and Tsinghua) to share with us their views on computational medicine and mobile technology.