Haoran Chen

Master's Student in Computer Science, Zhejiang Gongshang University

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Stay hungry, Stay foolish.

I am a Master’s student in Computer Science at Zhejiang Gongshang University. My research focuses on how multimodal systems select, combine, and preserve visual information.

research interests

Multimodal Language Models. Visual layer selection, multi-layer feature fusion, and connector design for more effective vision-language models.

AI-Generated Content Detection. Robust detection and analysis of AI-generated content, with an emphasis on practical and generalizable methods.

goals & plans

  1. Bring β€œai” (a Chinese pinyin meaning β€œlove”) and AI to the world.
  2. Expand AI services to millions of people through commercial applications.
  3. Share findings and insights from my research journey to advance practical applications.

open to discussion

Always up for knowledge sharing and potential collaborations. If you share similar interests, feel free to connect. Let’s collaborate and explore new ideas in the realm of AI!

academic service & teaching

academic service

  • ReviewerACM CIKM 2026
  • Volunteer: Oral Room Monitor and Poster AssistantEMRP 2025

teaching

  • Teaching AssistantFundamentals and Applications of Artificial Intelligence
  • Teaching AssistantDecrypting DeepSeek: From Basics to Creative Practice

news

Jul 2026 πŸŽ‰ One paper accepted to ACM MM 2026.
Aug 2025 πŸŽ‰ One paper accepted to EMNLP 2025 Main as an oral presentationπŸŽ™οΈ.
Mar 2025 πŸŽ‰ One paper accepted to CVPR 2025.
Sep 2024 πŸŽ‰ One paper accepted to EMNLP 2024 Main.

latest posts

selected publications

  1. Multimodal Language Models See Better When They Look Shallower
    Haoran Chen, Junyan Lin, Xinhao Chen, Yue Fan, Xin Jin, Hui Su, Jianfeng Dong, Jinlan Fu, and Xiaoyu Shen
    In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
    Main Conference, Oral Presentation
  2. Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices
    Junyan Lin*, Haoran Chen*, Yue Fan, Yingqi Fan, Xin Jin, Hui Su, Jinlan Fu, and Xiaoyu Shen
    In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025
  3. To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models
    Junyan Lin, Haoran Chen, Dawei Zhu, and Xiaoyu Shen
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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