YuJia Chen
Ph.D. Student
University of Science and Technology of China
🔬 Research Interests
👋 About
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.
🎓 Education
- 2023.09 – present — Ph.D. student, Department of Automation, University of Science and Technology of China (USTC), Hefei.
- 2019.09 – 2023.06 — B.Eng., Data Science and Big Data Technology, Central South University, Changsha.
📚 Selected Publications
View All →DA2-LiDAR: A Generic Density-Adaptive Framework for Unsupervised Domain Adaptation in LiDAR Point Cloud Semantic Segmentation
Yujia Chen, Rui Sun, Wangkai Li, Tianzhu Zhang
IEEE Transactions on Image ProcessingTIP 2026
A generic density-adaptive framework for unsupervised domain adaptation in LiDAR point cloud semantic segmentation.
Attention Contrastive Decoding: Preserving Coherence While Mitigating Hallucinations in Large Vision-Language Models
Yujia Chen, Rui Sun, Wangkai Li, Huayu Mai, Bingzhou Wang, Zhangyu He, Wenzhang Sun, Tianzhu Zhang
International Conference on Machine LearningICML 2026
Attention contrastive decoding for preserving coherence while mitigating hallucinations in large vision-language models.
Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective
Yujia Chen, Rui Sun, Wangkai Li, Huayu Mai, Naisong Luo, Yuwen Pan, Tianzhu Zhang
Proceedings of the AAAI Conference on Artificial IntelligenceAAAI 2025
Unsupervised domain adaptation for mitochondria segmentation from a pseudo-label perspective.
BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation
Yujia Chen, Rui Sun, Wangkai Li, Huayu Mai, Si Chen, Zhuoyuan Li, Zhixin Cheng, Tianzhu Zhang
The Thirty-ninth Annual Conference on Neural Information Processing SystemsNeurIPS 2025
Domain-invariant LiDAR segmentation using structural priors and long-range dependencies.
SAM-Glomeruli: Enhanced Segment Anything Model for Precise Glomeruli Segmentation
Yujia Chen, Wangkai Li, Zhaoyang Li, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu
MICCAI WorkshopMICCAI Workshop 2024
Enhanced Segment Anything Model for precise glomeruli segmentation.
📰 News
📄 Paper accepted to ICML 2026.
📄 Paper accepted to NeurIPS 2025.
📄 Paper accepted to AAAI 2025.
🏆 Won the Large-Scale Pathological Image Challenge at MICCAI Workshop 2024.
🏆 Awards
🏆 Champion of Large-Scale Pathological Image Challenge — MICCAI Workshop 2024
First-author team champion in the Large-Scale Pathological Image Challenge.
🎓 First-Class Scholarship — University of Science and Technology of China
Awarded three times during Ph.D. study.
🎖️ National Scholarship — University of Science and Technology of China
Awarded twice during Ph.D. study.
✨ Outstanding Graduate — Central South University
Recognized as an outstanding graduate.
🌟 Outstanding Student — Central South University
Awarded twice during undergraduate study.
🤝 Services
📝 Conference Reviewer — AAAI, 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.
🎀 Volunteer — GAMES 2022
Served as a volunteer for GAMES 2022.
💼 Internships
- 2023.12 – 2025.06 — Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei.