Associate Professor (tenure-track)
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.
Since 2021
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.
Since 2022
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.
Since 2022
Wenxuan is a 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.
Since 2022
Co-advised by Feiping Nie
Zequn is a 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.
Mingxin Wang
Since 2025
Mingxin is a first-year Ph.D. student at the GeWu-Lab, Gaoling School of Artificial Intelligence, Renmin University of China, advised by Prof. Di Hu. She obtained her master’s degree from University of Electronic Science and Technology of China in 2025. She is also jointly trained by the Beijing Academy of Artificial Intelligence (BAAI). Her research interests focus on multimodal interaction and embodied intelligence.
Dongnuan Cai
Since 2025
Dongnuan is a Ph.D student since 2025 Fall at Gaoling School of Artificial Intelligence, Renmin University of China, advised by Prof. Di Hu. He received his bachelor’s degree in South China University of Technology. He is interested in multimodal understanding and multimodal large language models.
Youquan Fu
Since 2025
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
Since 2025
Yu Miao is a first-year Ph.D. student at Gaoling School of Artificial Intelligence, Renmin University of China, advised by Prof. Di Hu. She received her bachelor’s degree in Beijing University of Posts and Telecommunications in 2025. Now she has a keen interest in multimodal large language models.
Jifan Li
Since 2026
Jifan Li is a fourth-year student at the School of Automation Science and Electrical Engineering(SASEE), Beihang University(BUAA). He will be a doctoral candidate in joint training with Beijing Academy of Artificial Intelligence(BAAI) in 2026 fall . His research focuses on embodied AI.
Yizhuo Zhang
Since 2026
Yizhuo is a fourth-year student of School of Computer Science and Technology, Jilin University. He is interested in embodied intelligence and world models.
Ziheng Chen
Since 2026
Ziheng is a fourth-year student of School of Computer Science and Technology, Jilin University. He is interested in multimodal large language models.
Henghui Du
Since 2023
Henghui is a 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 Multi-modal Large Language Models for audio-visual scene understanding.
Since 2023
Ruoxuan is a third-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 Hunan University in 2023. He is interested in multi-modal embodied AI, focusing on enabling robots to perceive and interact with the physical world through vision, audition, touch, and force sensing.
Yuchen Li
Since 2024
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 Lu
Since 2023
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.
Chengxiang Huang
Since 2024
Chengxiang is a fourth-year undergraduate student of Beijing University of Posts and Telecommunications. He is interested in multimodal learning and currently focuses on the multimodal imbalance problem.
Haotian Ni
Since 2024
HaoTian Ni is a third-year undergraduate student at the School of Computer Science and Engineering (SCSE), Beihang University (BUAA). He joined GeWu-Lab as a research assistant in July 2024, with research interests in multimodal learning and generative models.
Guikai Lin
Since 2025
Guikai Lin is a third-year undergraduate student at School of Information, Renmin University of China. She is interested in robot manipulation and embodied AI.
Kailin Huang
Since 2025
Kailin is a third-year undergraduate student at the School of Computer Science, Wuhan University. He is currently interested in multimodal learning, particularly the multimodal imbalance problem.
Siyu Mei
Since 2025
Siyu Mei is a fourth-year undergraduate student at Beijing Jiaotong University. He is interested in multimodal interaction and perception.
Hao Wang
Since 2025
Hao Wang is a third-year undergraduate student at China University of Geosciences (Beijing). He joined GeWu-Lab in July 2025, and his research interests include robot manipulation and embodied AI.
Weitao Zhang
Since 2025
Weitao Zhang is a second-year undergraduate student at Gaoling School of Artificial Intelligence, Renmin University of China. He is interested in embodied intelligence and computer vision.
Wenbo Yu
Since 2025
Wenbo Yu is an undergraduate student at Beijing Forestry University. His research interests lie in foundational challenges within embodied intelligence, including Sim2Real transfer.
Xiangyun Lu
Since 2025
Xiangyun is a third-year undergraduate student at School of Automation, Beijing Institute of Technology. He is interested in robotic multimodal arms.
Yuxuan Zhou
Since 2025
Yuxuan is a fourth-year undergraduate student at School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, and an incoming master student of Tsinghua Shenzhen International Graduate School. He joined GeWu-Lab as a research assistant in January 2025, and his research interests lie in tactile representation learning.