I’m Ruoyu Chen (陈若愚), a Ph.D. candidate in Institute of Information Engineering, Chinese Academy of Sciences (IIE, CAS), under the tutelage of Prof. Xiaochun Cao (currently the Dean of School of Cyber Science and Technology, Sun Yat-sen University). My research interests include Interpretable AI and Foundation Model.

I’m committed to making XAI meaningful and actually helping us with AI systems. Including in the model testing phase, building an interpretation method for debugging the model to help us discover potential biases and errors in the model. In the model training phase, specific defects are discovered through interpretability, and a reasonable feedback mechanism is designed to enable the model to automatically repair errors to improve model performance and generalization, while making the training process transparent. In the model deployment phase, improve the explanation of the model and study the human-computer interaction or AI agent processes in dynamic environments.

I received my B.E. degree from School of Control Engineering, Northeastern University and mentored by Prof. Yuliang Zhao at NEU, Prof. Yongliang Yang at SIA, CAS, and Prof. Wen Jung Li (Fellow, IEEE) at CityU.

I am open for collaborations in research. I am also actively looking for collaborators, especially in the fields of Trustworthy AI and Foundation Model. Please feel free to contact me.

🔥 News

  • 2024.01.16: 🎉🎉 One paper is accepted by ICLR Oral!
  • 2023.05: Created a new home page.

📝 Selected Publications

Preprint 2024
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Object Detectors in the Open Environment: Challenges, Solutions, and Outlook

Siyuan Liang, Wei Wang$^\dagger$, Ruoyu Chen$^{\dagger}$, Aishan Liu, Boxi Wu, Ee-Chien Chang, Xiaochun Cao, and Dacheng Tao ($\dagger$: Equal contribution)

Paper / Project

Preprint 2024,
Survey paper

ICLR 2024 Oral
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Less is More: Fewer Interpretable Region via Submodular Subset Selection

Ruoyu Chen, Hua Zhang, Siyuan Liang, Jingzhi Li, and Xiaochun Cao

Code / Paper / Slide / Poster / AI Time Presentation

International Conference on Learning Representations (ICLR),
Oral (85/7262, 1.16%)

ACM TOMM 2023
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Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual Explanations

Ruoyu Chen, Jingzhi Li, Hua Zhang, Changchong Sheng, Li Liu, and Xiaochun Cao

Code / Paper / Poster

ACM Transactions on Multimedia Computing, Communications, and Applications,

Impact factor: 5.1
Poultry Science 2023
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Online Estimating Weight of White Pekin Duck Carcass by Computer Vision

Ruoyu Chen, Yuliang Zhao, Yongliang Yang, Shuyu Wang, Lianjiang Li, Xiaopeng Sha, Lianqing Liu, Guanglie Zhang and Wen Jung Li

Code / Paper / Poster

Poultry Science (Top Journal in Agricultural and Biological Sciences),

Impact factor: 4.4
  • Identity-Preserving Face Anonymization via Adaptively Facial Attributes Obfuscation,
    Jingzhi Li, Lutong Han, Ruoyu Chen, Hua Zhang, Bing Han, Lili Wang, and Xiaochun Cao, ACM MM 2021, Oral,
    Code / Paper

  • More papers are being submitted, or please visit my Google Scholar to view all papers.

🎖 Honors and Awards

  • 2020.12 China National Scholarship, Ministry of Education of the People’s Republic of China (Top 1.5%), NEU.
  • 2019.12 China National Scholarship, Ministry of Education of the People’s Republic of China (Top 1.5%), NEU.
  • 2018.12 China National Scholarship, Ministry of Education of the People’s Republic of China (Top 1.5%), NEU.

📖 Educations

  • 2021.09 - 2026.06 (excepted),
    School of Cyberspace Security, University of Chinese Academy of Sciences, China.
    Ph.D. Candidate
  • 2017.09 - 2021.06,
    School of Control Engineering, Northeastern University, China.
    Bachelor of Engineering
    Ranking: 2/119

🎤 Talking & Teaching

💬 Professional Service

Journal Reviewer

Conference Reviewer

  • CVPR 23, 24
  • ICLR 24
  • NeurIPS 23, 24
  • ICML 23, 24
  • ICCV 23
  • ECCV 22, 24