Lu Wang 王璐
Lu Wang is an Assistant Professor of Computer Science and Engineering at University of Michigan. Previously until 2020, she was at Khoury College of Computer Sciences, Northeastern University. She completed her Ph.D. in the Department of Computer Science at Cornell University, under supervision of Professor Claire Cardie in 2015.
Lu's research is focused on natural language processing, computational social science, and machine learning. More specifically, Lu works on algorithms for text summarization, language generation, reasoning, argument mining, information extraction, and discourse analysis, as well as novel applications that apply such techniques to understand media bias and polarization and other interdisciplinary subjects. Her work won outstanding short paper award at ACL 2017, and best paper nomination award at SIGDIAL 2012.
Lu's work has been mainly funded by National Science Foundation (NSF, including a CAREER award), Air Force Office of Scientific Research (AFOSR), Intelligence Advanced Research Projects Activity (IARPA), and industry partnerships (LG AI Research, Tencent AI Lab, ByteDance AI Lab, NVIDIA GPU program, Oracle Research cloud credits, Amazon Web Service credits, Google Cloud Platform credits).
Announcements
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Winter 2023
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Winter 2023
I'm teaching EECS 487: Introduction to Natural Language Processing.
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Current
We are recruiting! For prospective Ph.D. students, postdocs, and master and undergrad students who are interested in doing research with me, please read this page.
Recent Grants
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2021–2026National Science Foundation (long document summarization)
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2022–2025Air Force Office of Scientific Research (narrative modeling and understanding)"Computational Modeling of Narrative Representation, Shaping, and Influence", PI.
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2021–2024National Science Foundation (media bias detection)"Collaborative Research: III: Small: Entity- and Event-driven Media Bias Detection", No. 2127747, PI, with PI Ruihong Huang and PI Nick Beauchamp.
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2021–2024National Science Foundation (AI augmented design)"Collaborative Research: From User Reviews to User-Centered Generative Design: Automated Methods for Augmented Designer Performance", No. 2050130, PI, with PI Mohsen Moghaddam, and co-PIs Tucker Marion and Paolo Ciuccarelli.
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2022–2023LG AI Research"Knowledge-grounded Scientific Reasoning", PI.
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2021–2022LG AI Research"Reasoning with Large Models", PI.
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2018–2021National Science Foundation (argument mining and generation)"RI: Small: Collaborative Research: Computational Methods for Argument Mining: Extraction, Aggregation, and Generation", No. 1813341, PI, with PI Claire Cardie.
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2017–2021Intelligence Advanced Research Projects Activity (MATERIAL)"Machine Translation for English Retrieval of Information in Any Language (MATERIAL)", subcontract to USC ISI.
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2019–2020The Social Science Research Council (news sharing)"Measuring the Effects of Peer Sharing on Fake and Polarized News Consumption", with PI Nick Beauchamp, co-PIs David Lazer, Donghee Jo, and Kenneth Joseph.
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2016–2018National Science Foundation (meeting summarization)"CRII: RI: Towards Abstractive Summarization of Meetings", No. 1566382, PI.
Academic Position
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Present 2020
Assistant Professor
University of Michigan, Computer Science and Engineering
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2020 2015
Assistant Professor
Northeastern University, Khoury College of Computer Sciences
Education
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Ph.D. 2016
Ph.D., Computer Science
Cornell University
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B.Sc.2009
Intelligence Science and Technology
Peking University
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B.Econ.2009
Economics
Peking University