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| Assistant Professor of Computer Science |
| University of California, Davis |
| Email: muhchen [Shift+2] ucdavis.edu |
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| CV Calendar Group Website
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I am an Assistant Professor at Department of Computer Science at UC Davis. I direct the Language Understanding and Knowledge Acquisition (LUKA) Lab. My research focuses on robust and minimally supervised data-driven machine learning for natural language Processing. Most recently, my group's research has been focusing on accountability and security problems of large language models and multi-modal language models. Previously, I was an Assistant Research Professor of Computer Science at USC from 2020 to 2023, and a Postdoctoral Fellow with Dan Roth at UPenn from 2019 to 2020. I received my Ph.D. degree from the Department of Computer Science at UCLA in 2019, where I worked with Carlo Zaniolo, Kai-Wei Chang and Wei Wang. Before joining UCLA as a Ph.D. student, I graduated with a Bachelor degree from Fudan University in 2014 where I worked with X. Sean Wang.
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- I am looking for highly motivated PhD/MS/Undergrad students to join the LUKA Lab. More information is available at here.
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- Ph.D. in Computer Science, University of California Los Angeles, Sept 2014 - June 2019.
- B.S. in Computer Science, Fudan University, Sept. 2010 - June 2014.
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- Outstanding Paper Award, EMNLP 2024
- Outstanding Paper Award, EMNLP 2023
- Amazon Research Award, 2023
- Keston Exploratory Research Award, 2023
- Amazon Research Award, 2022
- Cisco Research Award, 2022
- NSF CRII Award, 2021-2023
- ACM SIGBio Best Student Paper Award, 2020
- UCLA Dissertation Fellowship. 2018-2019
- Wang-Dao Scholarship (望道学者). Fudan University. 2014
- Chun-Tsung Scholarship (莙政学者). Hui-Chun Chin and Tsung-Dao Lee Chinese Undergraduate Research Endowment. 2013
- Tung OOCL Scholarships. 2012, 2013.
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- Association committee member.
ACL Special Interested Group on NLP Security (SIGSEC) -- Founding Officer and Secretary
- Organization/Senior committee member.
2024: NAACL (Area Chair), ACL (Area Chair), LREC-COLING (Area Chair)
2023: AAAI (Area Chair), ACL (Area Chair), EMNLP (Area Chair), AACL (Senior Area Chair), NLPCC (Area Chair)
2022: NAACL (Senior Area Chair), AAAI (Senior PC), AACL (Area Chair), EMNLP (Area Chair), DLG4NLP@NAACL (Co-chair), Wise-Supervision@AKBC (Co-chair)
2021: AAAI (Senior PC), IJCAI (Senior PC)
- PC member.
2022: NAACL SRW (Faculty Mentor)
2021: ACL, EACL, NAACL, WSDM, WWW
2020: AAAI, AACL, AKBC, COLING, EMNLP, IJCAI, ISWC, KDD, SIGIR, WSDM, *SEM
2019: AAAI, AKBC, NAACL, ACL, EMNLP, BigData, WISE, NLPCC, SoCALNLP, AIKE (Doctoral Consortium Chair)
2018: AAAI, BigData, EMNLP, NLPCC, SoCal NLP
- Journal Reviewer: TPAMI, TACL, TNNLS, TASLP, Pattern Recognition, Bioinformatics, PLOS Computational Biology, Briefings in Bioinformatics, Cell Systems, Clinical and Translational Medicine, Nature Machine Intelligience, Comput. & Struct. Biotechnol., TKDD, TOIS, WWWJ, TKDE, BMC Genomics, BMC Medical Genomics, BMC Human Genetics, Human Genomics, Quantitative Biology, GeoInformatica, Information Sciences.
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