Lu Wang 王璐
Lu Wang is an Associate 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.
Lu's research is focused on natural language processing, computational social science, and machine learning. More specifically, Lu aims to build trustworthy language models that produce factual, accurate, and safe content. She has worked on problems of summarization, generation, reasoning, argument mining, as well as creating novel applications to understand narratives and media bias and to support education. Her work won area chair award at ACL 2024, best paper honorable mention award at CHI 2023, outstanding 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.
Lu currently serves as ACL equity director. She is a co-founder and an officer of ACL Special Interest Group on Summarization (SIGSUMM).
Announcements
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Fall 2024
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Fall 2024
We're recruiting a postdoc researcher who is interested in narrative understanding, reasoning, or AI alignment. If you're interested, please email me with a 1-page statement of interest, your CV, two representative publications, and two contacts (one is PhD advisor) who can provide references. UM job portal link.
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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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2023–2026National Science Foundation (NLP for writing assistance)"Argument Graph Supported Multi-Level Approach for Argumentative Writing Assistance", No. 2302564, PI, with co-PI Xu Wang and senior personnel Anne Gere.
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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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2023–2024LG AI Research"Effective and Fine-grained Feedback for Enhanced Language Model Reasoning and Alignment", PI.
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2023–2024Cisco Systems"Multi-Document Reasoning with Large Language Models", 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.
Academic Position
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Present 2023
Associate Professor
University of Michigan, Computer Science and Engineering
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2023 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