Di Hu is tenure-track faculty at Gaoling School of Artificial Intelligence, Renmin University of China. Before that, he was previously a research scientist at Baidu Research. Di Hu obtained the Ph.D degree from Northwestern Polytechnical University in 2019, supervised by Xuelong Li. Currently, Di Hu is leading the GeWu Lab and exploring how to understand and interact with the world via the natural multimodal messages. He is an aficionado of cognitive neuroscience and has wrote one study note during his undergraduate. Inspired by what he learned from cognitive neuroscience, and what he observed and deliberated from the daily-life, he strongly convinced that the pervasive, free, natural multimodal messages can provide sufficient information for perceiving, learning and understanding environment, even the agent itself, which promisingly makes multimodal learning become one of the key to achieve machine intelligence.

Yake is a PhD student at Gaoling School of Artificial Intelligence, Renmin University of China. She received her bachelor’s degree in Computer Science and Technology from University of Electronic Science and Technology of China in 2021. Now her research interests focus on the effective mechanism of multi-modal learning.

Wenke is a Ph.D student since 2022 Fall at Gaoling School of Artificial Intelligence, Renmin University of China, advised by Prof. Di Hu. His research interests include reinforcement learning and embodied AI. Now, he focus on building a generalizable manipulation policy with computer vision.

Wenxuan is a second-year Ph.D student in the GeWu-Lab, Gaoling School of Artificial Intelligence, Renmin University of China. He has got his bachelor’s degree and master’s degree in Northwestern Polytechnical University and Xi’an Jiaotong University, respectively. Now his main research focuses on multimodal learning towards real-world scene understanding, aiming to guide the machine to perceive and understand natural scenes like human beings.

Zequn is a second-year Ph.D. student at GeWu-Lab, Gaoling School of Artificial Intelligence, Renmin University of China. He currently focuses on the mechanism of multi-modal learning, including theoretical comprehension and algorithm design. He also has a keen interest in developing efficient and effective multi-view clustering techniques utilizing machine learning methods.

Dongnuan is a fourth-year student of School of Automation Science and Engineering, South China University of Technology. He is interested in multimodal understanding and multimodal large language models.

Youquan is a PhD student at Gaoling School of Artificial Intelligence, Renmin University of China. He received his bachelor’s degree in School of Artificial Intelligence, Xidian University in 2025. Now his research interests focus on the audio and visual.

Yu Miao is a prospective Ph.D. student at Gaoling School of Artificial Intelligence, Renmin University of China, advised by Prof. Di Hu. She will soon receive her bachelor’s degree in Beijing University of Posts and Telecommunications in 2025. Now she has a keen interest in multimodal large language models.

Xincheng is a master student in GeWu-Lab at Renmin University of China, advised by Prof. Di Hu. Currently his research interests focus on scene understanding in embodied ai with multi-modal.

Henghui is a first-year master student in GeWu-Lab at Gaoling School of Artificial Intelligence, Renmin University of China, advised by Prof. Di Hu. He has got his bachelor’s degree in Dalian University of Technology in 2023. Currently his research instrests focus on Large language Models and cross-modal generation.

Ruoxuan is a first-year master student in GeWu-Lab at Gaoling School of Artificial Intelligence, Renmin University of China, advised by Prof. Di Hu. He is interested in multi-modal learning and embodied AI.

Yuchen is a master student in GeWu-Lab at Renmin University of China, advised by Prof. Di Hu. He has got his bachelor’s degree in Zhejiang University in 2024.

Jingxian is a fourth-year student of Gaoling School of Artificial Intelligence, Renmin University of China. He is interested in robot manipulation and perception from interaction.

Yaoting is currently working as an intern at the Deepwise AI Lab for multimodal medical data processing. He received his master’s degree from the University of Edinburgh in 2022. His research interests include multimodal deep learning, cross-modal transformers, and affective computing.

Jirui is a second-year MPhil student of the School of Computer and Artificial Intelligence, Wuhan University of Technology. She is interested in multimodal understanding and cross-modal generation.