Cho-Jui Hsieh and Kai-Wei Chang, assistant professors of computer science in the UCLA Samueli School of Engineering, have been awarded the 2019 Facebook Research Award on computationally efficient natural language processing.
The program focused on making natural language processing models more efficient both at training and testing time to enable production applications of such models at scale and potentially make them directly runnable on mobile devices without losing the quality of models run on servers.
Hsieh is interested in developing new algorithms and optimization techniques for large-scale machine learning problems. He is working on developing new machine learning models as well as improving the model size, training speed, prediction speed and robustness of popular models.
Chang’s research goal is to build intelligence systems that solve real-world problems by automatically acquiring knowledge. He has published broadly in machine learning, natural language processing, artificial intelligence and data mining.
