Publications | zwebrain

(___: equal contribution, *: corresponding author)

Conference Papers

NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs
Shuaidi Wang, Zhan Zhuang, Ruping Huang, and Yu Zhang*
ICML 2026, Seoul, South Korea
Rethinking the Flow-Based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective
Zhichao Chen, Zhan Zhuang, Yunfei Teng, Hao Wang, Fangyikang Wang, Zhengnan Li, Tianqiao Liu, Haoxuan Li*, Zhouchen Lin*
ICML 2026, Seoul, South Korea
HAD: Heterogeneity-Aware Distillation for Lifelong Heterogeneous Learning
Xuerui Zhang, Xuehao Wang, Zhan Zhuang, Linglan Zhao, Ziyue Li, Xinmin Zhang, Zhihuan Song, and Yu Zhang*
CVPR 2026, Denver, Colorado, USA
MoSA: Mosaic Shared Adaptation of Large Language Models
Xiequn Wang, Zhan Zhuang, Shengda Luo, and Yu Zhang*
ICLR 2026, Rio de Janeiro, Brazil

MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition
Hao Zhang, Zhan Zhuang, Xuehao Wang, Xiaodong Yang, Yu Zhang*
NeurIPS 2025, San Diego, USA
PLAN: Proactive Low-Rank Allocation for Continual Learning
Xiequn Wang, Zhan Zhuang, and Yu Zhang*
ICCV 2025, Honolulu, USA
Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation (PDF)
Zhan Zhuang, Xiequn Wang, Wei Li, Yulong Zhang, Qiushi Huang, Shuhao Chen, Xuehao Wang, Yanbin Wei, Yuhe Nie, Kede Ma*, Yu Zhang*, Ying Wei*
ICML 2025, Vancouver, Canada
Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction (PDF)
Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen, Yulong Zhang, James Kwok, Yu Zhang*
ICML 2025, Vancouver, Canada
HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models (PDF)
Qiushi Huang, Tom Ko, Zhan Zhuang, Lilian Tang, Yu Zhang*
ICLR 2025 (Oral), Singapore
MTSAM: Multi-Task Fine-Tuning for Segment Anything Model (PDF)
Xuehao Wang, Zhan Zhuang, Feiyang Ye, Yu Zhang*
ICLR 2025, Singapore
Moonshine: Distilling Game Content Generators into Steerable Generative Models (PDF)
Yuhe Nie, Michael Middleton, Tim Merino, Nidhushan Kanagaraja, Ashutosh Kumar, Zhan Zhuang*, Julian Togelius*
AAAI 2025 (Oral), Philadelphia, USA

Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models (PDF / Code)
Zhan Zhuang, Yulong Zhang, Xuehao Wang, Jiangang Lu, Ying Wei*, Yu Zhang*
NeurIPS 2024, Vancouver, Canada
Gradual Domain Adaptation via Gradient Flow (PDF / Code)
Zhan Zhuang, Yu Zhang*, Ying Wei*
ICLR 2024 (Spotlight), Vienna, Austria

Extend Wave Function Collapse Algorithm to Large-Scale Content Generation (PDF)
Yuhe Nie, Shaoming Zheng, Zhan Zhuang, Xuan Song*
IEEE CoG 2023 (Best Paper Award), Boston, USA

Nested Wave Function Collapse Enables Large-Scale Content Generation (PDF)
Yuhe Nie, Shaoming Zheng, Zhan Zhuang, Julian Togelius*
IEEE Transactions on Games, 2024
Accurate and Generalizable Photovoltaic Panel Segmentation Using Deep Learning for Imbalanced Datasets (PDF)
Zhiling Guo, Zhan Zhuang, Hongjun Tan, Zhengguang Liu, Peiran Li, Zhengyuan Lin, Wen-Long Shang*, Haoran Zhang, Jinyue Yan
Renewable Energy, 2023

[Granted] Data processing method and device based on block chain, equipment and storage medium. CN112635061B.
Xuan Song, Zhan Zhuang, Haoran Zhang, Musheng Yun, Guixu Lin
[Granted] Method and device for acquiring information of close contact person, server and storage medium. CN112866991B.
Xuan Song, Yuhe Nie, Haoran Zhang, Zhan Zhuang