Master of Language Technologies
Research-Oriented Master Program
Yulun Du is a graduate student of Language Technologies Institute in the School of Computer Science at Carnegie Mellon University. He is working in the Dialog Research Center under the supervisions of Dr. Maxine Eskenazi and Prof. Alan W. Black.
He is broadly interested in research problems in intersection with Machine Learning and Natural Language Processing with a research goal to develop intelligent systems that can understand language and interact with human.
• 2018-02: We have released the integral Let's Go dataset. You could check it out in this GitHub repo.
Multimodal Polynomial Fusion for Detecting Driver Distraction
Yulun Du, Alan W Black, Louis-Philippe Morency and Maxine Eskenazi.
Controllable Invariance through Adversarial Feature Learning
Qizhe Xie, Zihang Dai, Yulun Du, Eduard Hovy and Graham Neubig.
NIPS 2017 [slides] [code]
DialPort, Gone Live: An Update After A Year of Development
Kyusong Lee, Tiancheng Zhao, Yulun Du, Edward Cai, Allen Lu, Eli Pincus, David Traum, Stefan Ultes, Lina M. Rojas-Barahona, Milica Gasic, Steve Young and Maxine Eskenazi.
DialPort: Real-World Data for Academia Spoken Dialog Systems
Tiancheng Zhao, Yulun Du, Kyusong Lee and Maxine Eskenazi.
NIPS 2017 Workshop on Conversational AI
Worked with Prof. Kevin C. Chang on topic modeling on tweets for profiling locations.
Worked with Prof. Aditya Parameswaran on cost-senstive text classification.