Zichen Tian (Jason)
PhD candidate in Artificial Intelligence at Singapore Management University (SMU CVML Lab, advised by Prof. Qianru Sun). Research on parameter-efficient fine-tuning (LoRA, PEFT), multi-task adaptation, long-tailed learning and remote-sensing foundation models.
Honors
- Google PhD Fellowship 2026
- SMU Presidential Doctoral Fellowship 2026 and 2025
- SMU SCIS Dean's List 2026 and 2025
- CVPR 2025 Highlight
Selected Publications
- Scalable Multi-Task Low-Rank Model Adaptation (mtLoRA). Zichen Tian, Antoine Ledent, Qianru Sun. ICLR 2026. Scales multi-task LoRA to 15-25 tasks with Spectral-Aware Regularization, Block-Level Adaptation and Fine-Grained Routing.
- Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning (MetaPEFT / MetaLoRA). Zichen Tian, Yaoyao Liu, Qianru Sun. CVPR 2025 Highlight. Meta-learns PEFT module insertion, layer selection and module-wise learning rates for long-tailed remote-sensing adaptation.
- Learning De-Biased Representations for Remote-Sensing Imagery (debLoRA). Zichen Tian, Zhaozheng Chen, Qianru Sun. NeurIPS 2024. Unsupervised, LoRA-agnostic de-biasing of long-tailed remote-sensing features.