Papers by Zichen Tian
PhD candidate, Singapore Management University · Google PhD Fellowship 2026 · Parameter-efficient fine-tuning, LoRA, multi-task learning, remote sensing
ICLR 2026Scalable Multi-Task Low-Rank Model Adaptation (mtLoRA)
Zichen Tian, Antoine Ledent, Qianru Sun. Scales multi-task LoRA to 15-25 tasks with Spectral-Aware Regularization, Block-Level Adaptation and Fine-Grained Routing: +2.3% over SOTA, 47% fewer parameters.
CVPR 2025HighlightMeta-Learning Hyperparameters for Parameter Efficient Fine-Tuning (MetaPEFT / MetaLoRA)
Zichen Tian, Yaoyao Liu, Qianru Sun. Meta-learns module insertion, layer selection and module-wise learning rates for PEFT on long-tailed remote-sensing data.
NeurIPS 2024Learning De-Biased Representations for Remote-Sensing Imagery (debLoRA)
Zichen Tian, Zhaozheng Chen, Qianru Sun. Unsupervised, LoRA-agnostic de-biasing of long-tailed remote-sensing features via clustering and calibration; up to +4.7 tail-class points.