Yuan Shen

I am a Computer Science PhD Candidate at UIUC. My PhD advisor is Prof. Shenlong Wang. During my Phd, I also collaborate with Prof. Katie Driggs-Campbell. My research area is Computer Vision. Specifically, I am working on exciting projects related to infinite 3D scene generation.

Previously, I completed my Bachelor's degree with the highest honor at UIUC, with a major in Computer Science and minor in Mathematics. I was a research assistant at the Data-Driven Design group, led by Prof. Ranjitha Kumar. My undergrad research focused on fashion AI.

Inspired by Wei-chiu Ma, I have decided to commit 1~2 hours every week to provide guidance, suggestions, and/or mentorships for students from underrepresented groups or whoever is in need. Please fill in this form if you are interested.

E-Mail | Github | LinkedIn | CV | Google Scholar

News

October 2022	Our paper, "To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles", won Best Paper Award at NeurIPS 2022 Progress and Challenges in Building Trustworthy Embodied AI Workshop (TEA 2022).
October 2022	Our paper, "To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles", is accepted at NeurIPS 2022 Progress and Challenges in Building Trustworthy Embodied AI Workshop (TEA 2022).
September 2022	Our paper, "SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping", is accepted at NeurIPS 2022.
June 2022	Our paper, "CoCAtt: A Cognitive-Conditioned Driver Attention Dataset", is accepted at ITSC 2022.
November 2021	Passed my PhD Qualifying Exam! Very excited to be admitted to PhD Candidancy at UIUC!
July 2021	Our paper, "Effectively Leveraging Attributes for Visual Similarity", is accepted at International Conference on Computer Vision, ICCV 2021.
April 2021	Our peer-reviewed workshop paper, "Effectively Leveraging Attributes for Visual Similarity", is accepted at Fourth Workshop on Computer Vision for Fashion, Art and Design at CVPR 2021.
March 2021	Our peer-reviewed extended abstract, "AutoPreview: A Framework for Autopilot Behavior Understanding", is accepted at CHI2021 Late Breaking Work (Acceptance Rate: 39%).
Jan 2021	Our peer-reviewed extended abstract, "Building Mental Models through Preview of Autopilot Behaviors", is accepted at TRAITS workshop at HRI2021.
March 2020	Our workshop Paper, "Can AI decrypt fashion jargon for you?", is accepted at AI4HCI workshop at CHI 2020.
June 2019	Intern at Reconstruct Inc.
May 2019	Graduated with highest honor in UIUC.
April 2019	Accepted CS PhD offer at UIUC and joined Data Driven Design group led by Prof. Kumar.

Publications

	SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping Yuan Shen, Wei-Chiu Ma, Shenlong Wang Thirty-sixth Conference on Neural Information Processing Systems. (NeurIPS 2022) (Acceptance Rate: 25.6%) project \| paper \| poster \| video \| codebase \| colab quickstart
	To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles Yuan Shen, Shanduojiao Jiang, Yanlin Chen, Eileen Yang, Xilun Jin, Yuliang Fan, Katie Driggs-Campbell Best Paper Award at NeurIPS 2022 Progress and Challenges in Building Trustworthy Embodied AI Workshop (TEA 2022) paper \| poster \| video \| dataset
	CoCAtt: A Cognitive-Conditioned Driver Attention Dataset Yuan Shen, Niviru Wijayaratne & Pranav Sriram, Aamir Hasan, Peter Du and Katherine Driggs-Campbell The 25th IEEE International Conference on Intelligent Transportation Systems. (ITSC 2022) project \| paper \| dataset
	Effectively Using Attributes for Visual Similarity Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan Plummer International Conference on Computer Vision (IEEE). (ICCV 2021) Conference on Computer Vision and Pattern Recognition Workshop (IEEE). (CVPRW 2021) paper
	AutoPreview: A Framework for Autopilot Behavior Understanding Yuan Shen, Niviru Wijayaratne, Peter Du, Shanduojiao Jiang, Katherine Driggs Campbell SIGCHI Conference on Human Factors in Computing Systems (CHI 2021) Late Breaking Work (Acceptance Rate: 39%) paper
	Building Mental Models through Preview of Autopilot Behaviors Yuan Shen, Niviru Wijayaratne, Katherine Driggs Campbell The Road to a successful HRI: AI, Trust and ethicS (TRAITS) Workshop at ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021) paper
	Can AI decrypt fashion jargon for you? Yuan Shen, Shanduojiao Jiang, Muhammad Rizky Wellyanto, Ranjitha Kumar SIGCHI Conference on Human Factors in Computing Systems (CHI 2020) Workshop paper at AI4HCI workshop paper

Affiliations

Teaching Assistant

Template credits: Saurabh