Publications

CopRA: A Progressive LoRA Training Strategy

Zhan Zhuang, Xiequn Wang, Yulong Zhang, Wei Li, Yu Zhang*, Ying Wei*

UniReps (Extended Abstract Track), NeurIPS 2024, Vancouver, Canada

PDF

HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models

Qiushi Huang, Tom Ko, Zhan Zhuang, Lilian Tang, Yu Zhang*

ICLR 2025 (Oral), Singapore

PDF

MTSAM: Multi-Task Fine-Tuning for Segment Anything Model

Xuehao Wang, Zhan Zhuang, Feiyang Ye, Yu Zhang*

ICLR 2025, Singapore

PDF

Moonshine: Distilling Game Content Generators into Steerable Generative Models

Yuhe Nie, Michael Middleton, Tim Merino, Nidhushan Kanagaraja, Ashutosh Kumar, Zhan Zhuang*, Julian Togelius*

AAAI 2025 (Oral), Philadelphia, USA   PDF

Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models

Zhan Zhuang, Yulong Zhang, Xuehao Wang, Jiangang Lu, Ying Wei*, Yu Zhang*

NeurIPS 2024, Vancouver, Canada

PDF / Code

Gradual Domain Adaptation via Gradient Flow

Zhan Zhuang, Yu Zhang*, Ying Wei*

ICLR 2024 (Spotlight), Vienna, Austria

PDF / Code

Extend Wave Function Collapse Algorithm to Large-Scale Content Generation

Yuhe Nie, Shaoming Zheng, Zhan Zhuang, Xuan Song*

IEEE CoG 2023 (Best Paper), Boston, USA

PDF

Nested Wave Function Collapse Enables Large-Scale Content Generation

Yuhe Nie, Shaoming Zheng, Zhan Zhuang, Julian Togelius*

IEEE Transactions on Games, 2024

PDF

Accurate and Generalizable Photovoltaic Panel Segmentation Using Deep Learning for Imbalanced Datasets

Zhiling Guo, Zhan Zhuang, Hongjun Tan, Zhengguang Liu, Peiran Li, Zhengyuan Lin, Wen-Long Shang*, Haoran Zhang, Jinyue Yan

Renewable Energy, 2023   PDF