Felix Wu, PhD is a Research Scientist at ASAPP. He received his Ph.D. in Computer Science from Cornell University under the supervision of Prof. Kilian Q. Weinberger and his B.S. in Computer Science and Information Engineering from National Taiwan University. His research interest includes Machine Learning and its applications such as Natural Language Processing and Computer Vision. Recently, he is focusing on designing efficient neural models.
Wav2vec could be more efficient, so we created our own pre-trained ASR Model for better Conversational AI.
Wav2vec 2.0 is arguably the most popular approach for using self-supervised training in speech, but it could be more efficient. We introduce SEW for better efficiency and performance. Read more
Building on recent advances in natural language processing, new research from Felix Wu identifies ways to significantly stabilize BERT fine-tuning on small datasets. Read more