Jia Chen
Scholar

Jia Chen

Google Scholar ID: iD98H2sAAAAJ
University of California Riverside
Machine LearningSignal ProcessingMulti-view Data Analytics
Citations & Impact
All-time
Citations
277
 
H-index
9
 
i10-index
8
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • September 2025: One paper is accepted at NeurIPS TS4H Workshop
  • September 2025: One paper is accepted by ICCV SafeMM-AI Workshop
  • September 2025: One project is funded by NSF
  • August 2025: One paper is accepted by EMNLP, Findings
  • August 2025: One paper is accepted by IEEE Signal Processing Magazine
  • July 2025: Co-organized a week-long 'Data Science High School Summer Camp' for local high schoolers
  • February 2025: Our paper TRAWL: Tensor Reduced and Approximated Weights for Large Language Models has been accepted by 2025 PAKDD Special Sessions: Data Science: Foundations and Applications (DSFA)
  • January 2025: Our 2025 NSF REU program on Data Science will accept applications from January 6, 2025 till February 20, 2025 through ETAP platform
  • October 2024: Presented our paper 'Project or Factorize? A case study of Multiview CCA and PARAFAC2 tensor factorization' at 2024 Asilomar
  • October 2024: Our paper 'Automating Data Science Pipelines with Tensor Completion' led by our NSF REU students has been accepted to 2024 IEEE Big Data
  • September 2024: Our paper 'Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation' has been accepted to 2024 EMNLP Findings
  • August 2024: Our project 'The Computing Scholars Experience Lab Program' is funded by NSF (my role: senior personnel)
  • August 2024: Our project 'Trustworthy AI for Transportation Cyber-Physical Systems' led by UTRGV in collaboration with UPenn is funded by NSF
  • July 2024: Co-organized a week-long 'Data Science High School Summer Camp' for local high schoolers
  • June 2024: Welcome the REU students Teresa Garza, Mario Camarena, and Oziel Sauceda from UTRGV to join us for the 10-week Summer Internship
  • May 2024: Our paper 'Cross-Task Defense: Instruction-Tuning LLMs for Content Safety' has been accepted to NAACL TrustNLP 2024 workshop
  • March 2024: Our IEEE Inland Empire Data Science Workshop has been featured by the IEEE Computer Society News article
Research Experience
  • University of California, Riverside, Associate Professor of Teaching, July 2025 to Present
  • University of California, Riverside, Assistant Professor of Teaching, July 2021 to June 2025
  • University of Texas Rio Grande Valley, Assistant Professor, September 2019 to June 2021
  • University of Minnesota, Twin Cities, Postdoctoral Research Associate, January 2017 to August 2019, Advisor: Dr. Georgios B. Giannakis
  • University of Texas at Arlington, Research Associate, May 2016 to December 2016, Advisor: Dr. Ioannis D. Schizas
Background
  • Research interests include machine learning, signal processing, and multiview learning. Currently an Associate Professor of Teaching in the Department of Electrical and Computer Engineering at the University of California, Riverside.
Co-authors
0 total
Co-authors: 0 (list not available)