Junyu Chen

Ph.D. Candidate, University of Rochester CS

jchen175@ur.rochester.edu

Bio

I am a third-year Ph.D. student in the Computer Science Department at the University of Rochester (UR), where I am advised by Prof. Christopher Kanan. Previously, I completed my master's in Data Science at UR and bachelor's at Peking University.
My current research focuses on computer vision and machine learning, particularly self-supervised and continual learning for discovering semantic structure in large-scale visual data.

Publications

Google Scholar
Unlocking ImageNet's Multi-Object Nature: Automated Large-Scale Multilabel Annotation teaser
Unlocking ImageNet's Multi-Object Nature: Automated Large-Scale Multilabel Annotation
Junyu Chen, Md Yousuf Harun, Christopher Kanan
CVPR Findings, 2026.
Learning to evaluate the artness of AI-generated images teaser
Learning to evaluate the artness of AI-generated images
Junyu Chen, Jie An, Hanjia Lyu, Christopher Kanan, Jiebo Luo
IEEE Transactions on Multimedia, 2024.
Holistic visual-textual sentiment analysis with prior models teaser
Holistic visual-textual sentiment analysis with prior models
Junyu Chen, Jie An, Hanjia Lyu, Christopher Kanan, Jiebo Luo
MIPR, 2024.
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis teaser
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis
Wenbo Zhang, Junyu Chen, Christopher Kanan
MLHC, 2025.
Grasp: A rehearsal policy for efficient online continual learning teaser
Grasp: A rehearsal policy for efficient online continual learning
Md Yousuf Harun, Jhair Gallardo, Junyu Chen, Christopher Kanan
CoLLAs, 2024.
Revisiting Multi-Modal LLM Evaluation teaser
Revisiting Multi-Modal LLM Evaluation
Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan
CVPR Workshop, 2024.
Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning teaser
Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning
Jingyang Lin, Junyu Chen, Hanjia Lyu, Igor Khodak, Divya Chhabra, Colby L Day Richardson, Irina Prelipcean, Andrew M Dylag, Jiebo Luo
ICDH, 2023.
Automated Detection and Quantitative Assessment of Dental Plaque in Intraoral Images teaser
Automated Detection and Quantitative Assessment of Dental Plaque in Intraoral Images
Ziyun Zeng, Junyu Chen, Noha Rashwan, Nisreen Al Jallad, Jin Xiao, Jiebo Luo
ACM Transactions on Computing for Healthcare, 2026.

Education

University of Rochester
Rochester, NY, US  |  Aug. 2023 - Present
Ph.D. Candidate in Computer Science
University of Rochester
Rochester, NY, US  |  Aug. 2021 - Dec. 2022
M.S. in Data Science
Advisor: Jiebo Luo
Peking University
Beijing, China  |  Aug. 2016 - Jun. 2020
B.S. in Psychology; B.A. in Economics

Experiences

Kuaishou Technology
Beijing, China  |  Sept. 2020 - Apr. 2021
Data Analyst Intern
DiDi Infinity Technology
Beijing, China  |  Nov. 2019 - Apr. 2020
Data Analyst Intern
Xiaomi Communications
Beijing, China  |  Mar. 2018 - Mar. 2019
Product Manager Intern

Service & Teaching

Reviewer
  • Conference: CVPR, NeurIPS, CoLLAs, MLHC
  • Journal: IEEE MultiMedia
Admissions Committee
  • PhD Admissions Committee, Computer Science Department, University of Rochester (2024–2026)

Teaching

Instructor
  • University of Rochester
    • Python 101, NSF REU Program — Summer 2023
Teaching Assistant
  • University of Rochester

Vitæ

Full Resume in PDF.