Yilun Hao

I am an incoming Ph.D. student in the Department of Aeronautics and Astronautics at MIT working in REALM lab led by Prof. Chuchu Fan. My research interest lies in the area of robot learning and human robot interactions.

Previously I received my M.S. in Computer Science with Distinction in Research from Stanford University. I worked with Prof. Dorsa Sadigh at ILIAD and Prof. Jiajun Wu at SVL on robotics and machine learning.

I received my B.S. in Computer Science and a minor in Mathematics from University of California San Diego, where I worked on Hyperdimensional Computing supervised by Prof. Tajana Rosing

Email  /  CV  /  Linkedin  /  Google Scholar  /  Github

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Recent Research (Robotics)
diffcloud Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations
Yilun Hao*, Ruinan Wang*, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
Website /arXiv
diffcloud A Dual Representation Framework for Robot Learning with Human Guidance
Ruohan Zhang*, Dhruva Bansal*, Yilun Hao*, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martín-Martín, Li Fei-Fei, Jiajun Wu
Conference on Robot Learning (CoRL), 2022
Website /arXiv
diffcloud Weakly Supervised Correspondence Learning
Zihan Wang*, Zhangjie Cao*, Yilun Hao, Dorsa Sadigh
International Conference on Robotics and Automation (ICRA), 2022
Website / arXiv
diffcloud Learning Feasibility to Imitate Demonstrators with Different Dynamics
Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh
Conference on Robot Learning (CoRL), 2021
Website / arXiv
Previous Research (Hyperdimensional Computing)
Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline
Justin Morris, Yilun Hao, Saransh Gupta, Behnam Khaleghi, Baris Aksanli, Tajana Rosing
Frontiers in Neuroscience, 2022
Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing
Yilun Hao, Saransh Gupta, Justin Morris, Behnam Khaleghi, Baris Aksanli, Tajana Rosing
IEEE 39th International Conference on Computer Design (ICCD), 2021
Multi-label HD Classification in 3D Flash
Justin Morris, Yilun Hao, Saransh Gupta, Ranganathan Ramkumar, Jeffrey Yu, Mohsen Imani, Baris Aksanli, Tajana Rosing
IFIP/IEEE 28th International Conference on Very Large Scale Integration (VLSI-SOC), 2020
Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing
Justin Morris, Roshan Fernando, Yilun Hao, Mohsen Imani, Baris Aksanli, Tajana Rosing
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2020

Thanks Jon Barron for the template!