Yujia Chen
Personal academic site
中文

YuJia Chen

Biography

I am a Ph.D. student in Control Science and Engineering at the School of Information Science and Technology, University of Science and Technology of China, advised by Prof. Tianzhu Zhang.

My research interests include computer vision, 2D/3D perception, transfer learning, and multimodal large models.

Before joining USTC, I received my B.Eng. in Data Science and Big Data Technology from the School of Computer Science, Central South University.

Research interests

  • Computer Vision
  • 2D/3D Perception
  • Transfer Learning
  • Multimodal Large Models

Selected publications

  • Yujia Chen, Rui Sun, Wangkai Li, Tianzhu Zhang. “DA2-LiDAR: A Generic Density-Adaptive Framework for Unsupervised Domain Adaptation in LiDAR Point Cloud Semantic Segmentation. IEEE Transactions on Image Processing, 2026.TIP 2026
  • Yujia Chen, Rui Sun, Wangkai Li, Huayu Mai, Bingzhou Wang, Zhangyu He, Wenzhang Sun, Tianzhu Zhang. “Attention Contrastive Decoding: Preserving Coherence While Mitigating Hallucinations in Large Vision-Language Models. International Conference on Machine Learning, 2026.ICML 2026
  • Yujia Chen#, Rui Sun#, Wangkai Li, Huayu Mai, Naisong Luo, Yuwen Pan, Tianzhu Zhang. “Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective. Proceedings of the AAAI Conference on Artificial Intelligence, 2025.AAAI 2025
  • Yujia Chen, Rui Sun, Wangkai Li, Huayu Mai, Si Chen, Zhuoyuan Li, Zhixin Cheng, Tianzhu Zhang. “BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation. The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025.NeurIPS 2025
  • Yujia Chen, Wangkai Li, Zhaoyang Li, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu. “SAM-Glomeruli: Enhanced Segment Anything Model for Precise Glomeruli Segmentation. MICCAI Workshop, 2024.MICCAI Workshop 2024

News

  • 2026Paper accepted to ICML 2026.
  • 2025Paper accepted to NeurIPS 2025.
  • 2025Paper accepted to AAAI 2025.
  • 2024Won the Large-Scale Pathological Image Challenge at MICCAI Workshop 2024.

Awards

  • Jun 2024Champion of Large-Scale Pathological Image ChallengeMICCAI Workshop 2024
    First-author team champion in the Large-Scale Pathological Image Challenge.
  • Sept 2023 - Oct 2025First-Class ScholarshipUniversity of Science and Technology of China
    Awarded three times during Ph.D. study.
  • Nov 2024 - Oct 2025National ScholarshipUniversity of Science and Technology of China
    Awarded twice during Ph.D. study.
  • Apr 2023Outstanding GraduateCentral South University
    Recognized as an outstanding graduate.
  • Oct 2019 - Sept 2023Outstanding StudentCentral South University
    Awarded twice during undergraduate study.

Services

  • 2025 - 2026Conference ReviewerAAAI, NeurIPS, CVPR, ICCV, ICLR, ECCV, ICML
    Reviewer for AAAI 2026, NeurIPS 2025, CVPR 2026, ICCV 2025, ICLR 2026, ECCV 2026, and ICML 2026. Received the ICML 2026 Silver Reviewer Award.
  • 2022VolunteerGAMES 2022
    Served as a volunteer for GAMES 2022.