Opening for PhD Students in Artificial Intelligence at UCSD

Fall 2021

Xiaolong Wang [Homepage] [GitHub] [Google Scholar]

Applications are invited for PhD student positions in Professor Xiaolong Wang's group (Group Page) at UC San Diego. Students with experience in the following topics are encrouaged to apply:

Xiaolong's research lies in exploiting the structure in data for learning visual representations, with a focus on the spatial-temporal structure in videos and its connection to 3D structure as well as semantic structure. There are two principal directions he has explored: first, to use the structure information from the data itself as a supervisory signal for learning visual representations (i.e., self-supervised learning), eliminating the need for manual labels; second, to explicitly model the structure in data for human activity analysis, scene affordance reasoning and learning object physical interaction.

Xiaolong is interested in the intersection between computer vision and robotics, and applying visual learning in robotics. His aim for research is to build an AI system that can scale up its learning ability beyond human supervision, acquire common sense knowledge, and interact with the world using the knowledge it has learned. Importantly, more knowledge can be acquired throughout the interaction.

If you are interested in applying, you can apply to UCSD ECE department or CSE department and select or fill my name in the application system. You can also state your interested in my group in your statement of purpose. For any further questions, you can email me: .

If you are applying the CSE department and cannot find my name in the system, you can choose "other" and fill my name in text in the system. You are also encouraged to send me an email to remind me your application. I might not be able to reply due to the high volumn of applications, but I will check the emails.

If you are applying the ECE department, you should also be able to choose my name from the system. I will be reviewing from the following 3 tracks and you can apply one of them: