Extend Wave Function Collapse Algorithm to Large-Scale Content Generation. - Yuhe Nie; Shaoming Zheng; Zhan Zhuang; Xuan Song 001 (CoG, 2023)

Extend Wave Function Collapse to Large-Scale Content Generation. - Yuhe Nie; Shaoming Zheng; Zhan Zhuang; Xuan Song (CoRR, 2023)

Gradual Domain Adaptation via Gradient Flow. - Zhan Zhuang; Yu Zhang; Ying Wei (ICLR, 2024)

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)

CopRA: A Progressive LoRA Training Strategy. - Zhan Zhuang; Xiequn Wang; Yulong Zhang; Wei Li; Yu Zhang; Ying Wei (CoRR, 2024)

Nested Wave Function Collapse Enables Large-Scale Content Generation. - Yuhe Nie; Shaoming Zheng; Zhan Zhuang; Julian Togelius (IEEE Trans. Games, 2024)

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)

HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models. - Qiushi Huang; Tom Ko; Zhan Zhuang; Lilian Tang; Yu Zhang 006 (ICLR, 2025)

MTSAM: Multi-Task Fine-Tuning for Segment Anything Model. - Xuehao Wang; Zhan Zhuang; Feiyang Ye 001; Yu Zhang 006 (ICLR, 2025)

Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction. - Yanbin Wei; Xuehao Wang; Zhan Zhuang; Yang Chen; Shuhao Chen; Yulong Zhang; Yu Zhang 006; James T. Kwok (CoRR, 2025)

MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition. - Hao Zhang; Zhan Zhuang; Xuehao Wang; Xiaodong Yang; Yu Zhang (CoRR, 2025)

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation. - Zhan Zhuang; Xiequn Wang; Wei Li; Yulong Zhang; Qiushi Huang; Shuhao Chen; Xuehao Wang; Yanbin Wei; Yuhe Nie; Kede Ma; Yu Zhang 006; Ying Wei 001 (CoRR, 2025)