Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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This post will show up by default. To disable scheduling of future posts, edit config.yml
and set future: false
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Make your favorite music curative: Music style transfer for anxiety reduction
Published in Proceedings of the 28th ACM International Conference on Multimedia, 2020
Recommended citation: Z. Hu, Y. Liu, G. Chen, S. Zhong, A. Zhang. Make your favorite music curative: Music style transfer for anxiety reduction. Proceedings of the 28th ACM International Conference on Multimedia (2020).
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[Short Paper] Multi-modal perception dataset of in-water objects for autonomous surface vehicles
Published in Workshop on Field Robotics at 2024 IEEE International Conference on Robotics and Automation (ICRA)., 2024
Recommended citation: M. Jeong*, A. Chadda*, Z. Ren, L. Zhao, H. Liu, M. Roznere, A. Zhang, Y. Jiang, S. Achong, S. Lensgraf, and A. Quattrini Li. Multi-modal Perception Dataset of In-water Objects for Autonomous Surface Vehicles. Workshop on Field Robotics at 2024 IEEE International Conference on Robotics and Automation (ICRA). [Best Paper Award Nominee] (* equal contribution)
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SeePerSea: Multi-modal perception dataset of in-water objects for autonomous surface vehicles
Published in Submitted to IEEE Transaction on Field Robotics, 2024
Recommended citation: M. Jeong*, A. Chadda*, Z. Ren, L. Zhao, H. Liu, M. Roznere, A. Zhang, Y. Jiang, S. Achong, S. Lensgraf, and A. Quattrini Li. Multi-modal Perception Dataset of In-water Objects for Autonomous Surface Vehicles. (* equal contribution)
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AI Foundation Models for Wearable Movement Data in Mental Health Research
Published in In submission, 2024
Recommended citation: F. Y. Ruan*, A. Zhang*, J. Y. Oh, S. Jin, N. C. Jacobson. Is Attention All You Need For Actigraphy? Foundation Models of Wearable Accelerometer Data for Mental Health Research. (* equal contribution) Submitted to a top-tier journal. Available on arXiv at https://doi.org/10.48550/arXiv.2411.15240.
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching Assistant, COSC 10 [Fall 2022, Winter 2023]
Undergraduate course, Dartmouth College, Department of Computer Science, 2022
Problem Solving via Object Oriented Programming, 80+ students.
Teaching Assistant, COSC 31 [Spring 2023]
Undergraduate course, Dartmouth College, Department of Computer Science, 2023
Algorithms, 30+ students.
Teaching Assistant, COSC 70 [Fall 2023]
Undergraduate course, Dartmouth College, Department of Computer Science, 2023
Foundations of Applied Computer Science, 70+ Students.
Teaching Assistant, COSC 83 [Winter 2025]
Graduate-level course, Dartmouth College, Department of Computer Science, 2025
Computer Vision, 39 students total (including 27 graduate students & 12 undergraduate students).