Kuan Wei Huang's Homepage

Kuan Wei Huang

Computer Science Ph.D. Student

Cornell University

Email / Scholar / LinkedIn / Photos

Bio

I am a Ph.D. student at Cornell University, advised by Prof. Bharath Hariharan and honored to be supported by the Cornell Graduate School Fellowship. I completed my M.Eng at MIT in EECS, where I was advised by Prof. William T. Freeman. I earned my S.B. from MIT EECS, where I had the chance to collaborate with Prof. Antonio Torralba and Prof. Dimitrios Papadopoulos. I am grateful to be one of seven MIT QuestBridge Scholars in the US, provided with a four-year full college scholarship. In my free time, I enjoy basketball, poker, and the nature. I am also committed to volunteer in all stages of my life.

Publications

	C3Po: Cross-View Cross-Modality Correspondence by Pointmap Prediction Kuan Wei Huang, Brandon Li, Bharath Hariharan, Noah Snavely In review, 2025 Created a novel cross-view, cross domain correspondence dataset (floorplan images and ground-view photos) and improved correspondence estimation via pointmap prediction.
	MultiEarth 2022 – Multimodal Learning for Earth and Environment Workshop and Challenge Miriam Cha, Kuan Wei Huang, Morgan Schmidt, Gregory Angelides, Mark Hamilton, Sam Goldberg, Armando Cabrera, Phillip Isola, Taylor Perron, Bill Freeman, Yen-Chen Lin, Brandon Swenson, Jean Piou CVPR Workshop, 2022 project page / arXiv Created the first multimodal remote sensing satellite dataset with deforestation masks.
	Developing a Series of AI Challenges for the United States Department of the Air Force Vijay Gadepally, ..., Kuan Wei Huang, et al. HPEC, 2022 arXiv MultiEarth was one of the projects that addressed Federal AI priorities.
	Learning Program Representations for Food Images and Cooking Recipes Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko, Kuan Wei Huang, Ferda Ofli, Antonio Torralba CVPR, 2022 project page / arXiv Modeled cooking recipes and food images as "programs," a structured representation of the cooking process.
	Distributed Motion Control for Multiple Connected Surface Vessels Wei Wang, Zijian Wang, Luis Mateos, Kuan Wei Huang, Mac Schwager, Carlo Ratti, Daniela Rus IROS, 2020 arXiv Proposed a scalable, communication-free cooperative control framework for multiple physically connected autonomous surface vessels (Roboats) that move as a single modular floating structure.
	Cooperative Control of an Autonomous Floating Modular Structure Without Communication Wei Wang, Luis Mateos, Zijian Wang, Kuan Wei Huang, Mac Schwager, Carlo Ratti, Daniela Rus MRS, 2019 paper Presented a novel control algorithm for multiple autonomous surface vessels to move synchronously without direct communication between modules.

Miscellanea

Teaching	Head TA, Cornell 4670/5670 (Introduction to Computer Vision), SP25 TA, MIT 6.0001/6.0002 (Introduction to Computer Science), FA22 TA, MIT 6.0001/6.0002 (Introduction to Computer Science), SP22 TA, MIT 6.0001/6.0002 (Introduction to Computer Science), FA21 LA; MIT 6.08 (Introduction to Embedded Systems); SP20
Service	Mentor, Cornell University EMpower, 2023-Present Reviewer, CVPR, 2023 Reviewer, NeurIPS Datasets and Benchmarks, 2022 Alumni Interviewer, MIT Educational Council, 2021-Present Volunteer, Massachusetts General Hospital - Martinos Center for Biomedical Imaging, 2021 Volunteer, Boston Cares, 2018-2023 Volunteer and administrator, MIT Educational Studies Program, 2017-2023 Volunteer, Stonegate Nursing Center, 2010-Present
Honor	Cornell Graduate School Fellowship, 2023-Present US Department of the Air Force and MIT Artificial Intelligence Accelerator Challenge Award, 2023 Salesforce Global Futureforce Pitch Competition - Winning Team, 2021 MIT QuestBridge Scholar - one of seven in the US, 2017-2021
Features	MIT News, Autonomous boats could be your next ride, 2020 MIT News, Undergraduates develop next-generation intelligence tools, 2020

Website inspired by Jon Barron.