data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli
People
Qiantong Xu
Research Engineer
I am a Research Engineer at Meta AI Research (previously, FAIR). I currently focus on acoustic modeling and language modeling in end-to-end speech recognition. I graduated from Cornell University with a master’s degree in computer science, and I received my bachelor’s degree in artificial intelligence from Peking University.
Interests
Machine learning, speech recognition, natural language processing, representation learning, metric learning
Latest Publications
ICML - 2022
Kaizen: Continuously Improving Teacher Using Exponential Moving Average For Semi-supervised Speech Recognition
Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed
slimIPL: Language-Model-Free Iterative Pseudo-Labeling
Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert
Self-Training for End-to-End Speech Translation
Juan Pino, Qiantong Xu, Xutai Ma, Mohammad Javad Dousti, Yun Tang
Libri-light: A benchmark for ASR with limited or no supervision
Jacob Kahn, Morgan Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux
Scaling up online speech recognition using ConvNets
Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert