My name is Yujie Lin, a third-year master’s student at Tianjin University. My research interests include trustworthy AI and generative models. Recently, I have been exploring large language models.
🔥 News
- 2025.05: 🎉🎉 One paper was accepted by IJCAI 2025.
- 2025.03: 🎉🎉 I graduated from Tianjin University with a master’s degree！
📝 Publications
(underline indicates equal contribution, * indicates corresponding author)
Yujie Lin, Dong Li, Minglai Shao, Guihong Wan, Chen Zhao
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen
Adaptation Speed Analysis for Fairness-aware Causal Models
Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen
-[KDD'2025] MLDGG: Meta-Learning for Domain Generalization on Graphs Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang, Yujie Lin, Dong Li
-[ICASSP'2025] Hypergraph-Based Dynamic Graph Node Classification Xiaoxu Ma, Chen Zhao, Minglai Shao, Yujie Lin
-[IJCAI'2024] Supervised Algorithmic Fairness in Distribution Shifts: A Survey Minglai Shao, Dong Li, Chen Zhao, Xintao Wu, Yujie Lin*, Qin Tian
-[Knowledge-based System 2023] Learning graph deep autoencoder for anomaly detection in multi-attributed networks
Minglai Shao, Yujie Lin, Qiyao Peng, Jun Zhao, Zhan Pei, Yueheng Sun
📝 Preprint
🎖 Honors and Awards
- 2024.10, First-Class Academic Scholarship, Tianjin University
- 2023.10, First-Class Academic Scholarship, Tianjin University
- 2023.9, Outstanding Student, Tianjin University
📖 Educations
- 2022.09 - 2025.03 (now), Tianjin University, Master.
- 2018.09 - 2022.06, Fuzhou University, Bachelor.
💬 Invited Talks
- 2024.10, Algorithmic Fairness under Distribution Shifts, AI time (Tsinghua University) | [video]
💻 Internships
TBA