Opening for PhD Students in Artificial Intelligence at UCSD
Fall 2023
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:
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Computer Vision: Video understanding, 3D vision, vision-language foundation models, self-supervised learning, implicit functions, generative model.
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Reinforcement Learning: Model-based RL, Imitation learning, Visual represetation learning for RL.
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Robotics: Manipulation and dexterous manipulation, locomotion control, hardware design. Students who have experience with real robots are preferred.
Xiaolong is interested in the intersection between computer vision and robotics. His aim for research is to build an AI system that can scale up its learning ability beyond high-cost 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: xiw012@ucsd.edu .
If you are applying the ECE department, I will be reviewing from the following 2 tracks and you can apply one of them:
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Signal and Image Processing (SIP).
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Intelligent Systems, Robotics, and Control (ISRC).
Recent Robotics Work Highlights
Sateesh Kumar, Jonathan Zamora*, Nicklas Hansen*, Rishabh Jangir, Xiaolong Wang.
Graph Inverse Reinforcement Learning from Diverse Videos.
Conference on Robot Learning (CoRL), 2022 (Oral Presentation).
Yuzhe Qin, Hao Su*, Xiaolong Wang*.
From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation.
Robotics and Automation Letters (RA-L), 2022.
International Conference on Intelligent Robots and Systems (IROS), 2022.
Yuzhe Qin*, Yueh-Hua Wu*, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang.
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos.
European Conference on Computer Vision (ECCV), 2022.
Ruihan Yang*, Minghao Zhang*, Nicklas Hansen, Huazhe Xu, Xiaolong Wang.
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers.
International Conference on Learning Representations (ICLR), 2022 (Spotlight Presentation).
Nicklas Hansen, Xiaolong Wang*, Hao Su*.
Temporal Difference Learning for Model Predictive Control.
International Conference on Machine Learning (ICML), 2022.
Recent Computer Vision Work Highlights
Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas Breuel, Jan Kautz, Xiaolong Wang.
GroupViT: Semantic Segmentation Emerges from Text Supervision.
Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Yang Fu, Xiaolong Wang.
Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset.
Conference on Neural Information Processing Systems (NeurIPS), 2022.
Yinbo Chen, Xiaolong Wang.
Transformers as Meta-Learners for Implicit Neural Representations.
European Conference on Computer Vision (ECCV), 2022.
Xuanchi Ren, Xiaolong Wang.
Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image.
Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Zihang Lai, Sifei Liu, Alexei A. Efros, Xiaolong Wang.
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion.
International Conference on Computer Vision (ICCV), 2021 (Oral Presentation).