SHUTS Multi-Modal Lab

Chivalrous hunters, chasing SOTAs.

Sota-HUnTerS (SHUTS) Lab is an open research group founded by members from Shanghai University (SHU) and the University of Technology Sydney (UTS), dedicated to multi-modal learning and any other compelling areas of AI research.

SHUTS Lab welcomes AI enthusiasts from all around the world to join in the pursuit of state-of-the-art advancements.

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Members

People	Introduction
Haoyang Li	Joint Ph.D. student at the University of Technology Sydney (UTS) and Shanghai University (SHU), and founding member of the SHUTS Multi-modal Lab. His primary research focuses on parameter-efficient fine-tuning of pre-trained vision-language models. 悉尼科技大学 & 上海大学联合培养博士生，SHUTS MM-Lab 创始人。主要研究方向为视觉-语言模型的参数高效微调。
Liang Wang	Joint Ph.D. student at the University of Technology Sydney (UTS) and Shanghai University (SHU). His primary research focuses on parameter-efficient fine-tuning of pre-trained vision-language models. 悉尼科技大学 & 上海大学联合培养博士生。主要研究方向为视觉-语言模型的参数高效微调。
Qile He	A master student at Shanghai University (SHU), engaged in the research of music generation. 上海大学硕士生。主要研究方向为音乐生成。
Siyu Zhou	A Ph.D. student at the University of Technology Sydney (UTS), with primary research interests in embodied agents based on Large Language Models (LLMs) and reinforcement learning. 悉尼科技大学博士生。主要研究方向为基于 LLMs 的具身代理、强化学习。
Jiacheng Sun	Ph.D. student at Shanghai University (SHU), with primary research interests in 2D/3D instance segmentation. 上海大学博士生。主要研究方向为 2D/3D 实例分割。