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
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.