Johns Hopkins University, HLTCOE
Stieff Building / 810 Wyman Park Drive
Baltimore, MD 21211-2840, USA
Email: firstname.lastname@example.org where x=kevinduh
Hi! I am a senior research scientist at the Johns Hopkins University Human Language Technology Center of Excellence (HLTCOE). I am also an assistant research professor in the Department of Computer Science and a member of the Center for Language and Speech Processing (CLSP). Previously, I was assistant professor at the Nara Institute of Science and Technology (2012-2015) and research associate at NTT CS Labs (2009-2012). I received my B.S. in 2003 from Rice University, and PhD in 2009 from the University of Washington, both in Electrical Engineering. My research interests lie at the intersection of Natural Language Processing and Machine Learning, in particular on areas relating to machine translation, semantics, and deep learning.
My recent projects include: (a) domain adaptation for neural machine translation [see 1, 2, 3, 4, 5], (b) end-to-end cross-lingual information extraction and retrieval, (c) multi-objective optimization for fast, small, and accurate deep learning models. I'm fortunate to have great collaborators.
- Current Ph.D. Advisees: Pamela Shapiro, Shuo Sun, Xuan Zhang, Suzanna Sia, Mitchell Gordon, Sheng Zhang (co-advised with Ben Van Durme)
- Previous Ph.D. graduates, Post-Docs, Visiting Researchers: Muhammad Rahman (now at NIH), Sorami Hisamoto (now at WorksApplications), Hiroki Ouchi (now at RIKEN), Fei Cheng (now at NII), Xiaoyi Wu, Frances Yung (now at Saarland University), Masashi Tsubaki (now at AIST), Xiaodong Liu (now at Microsoft), Yanyan Luo (now at Baidu)
Selected Publications [click here for full list, or Google scholar profile]:
- HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation (EMNLP2019)
- Curriculum Learning for Domain Adaptation in Neural Machine Translation (NAACL2019)
- Character-Aware Decoder for Translation into Morphologically Rich Languages (MT-Summit2019)
- Stochastic Answer Networks for Machine Reading Comprehension (ACL2018)
- Ordinal Common-sense Inference (TACL2017)
- Representation Learning using Multi-Task Deep Neural Nets for Semantic Classification & IR (NAACL2015)
To prospective students: Thanks for your interest! I am not able to reply to your inquiries individually, due to the large volumes of email I receive ("email event horizon"). If you are seeking admission, please refer to the official CS admissions page. I am currently not accepting internship students (including self-funded ones).