cv
A concise web version of my curriculum vitae. Use the PDF icon to download the full CV.
General Information
| Full Name | Yuanjie Shi |
| Position | PhD Candidate in Computer Science, Washington State University |
| yuanjie.shi@wsu.edu | |
| GitHub | github.com/YuanjieSh |
Research Interests
- Robust machine learning
- Uncertainty quantification and conformal prediction
- Federated learning
- Reliable and controllable large language models
- Generative models
Education
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2021 - Present PhD in Computer Science
Washington State University, Pullman, Washington - Advisor: Prof. Yan Yan
- Research topic: Robust Machine Learning: From Representation to Uncertainty Quantification
- Expected graduation in 2026
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2017 - 2019 MS in Electrical Engineering
Stevens Institute of Technology, Hoboken, New Jersey - Advisor: Prof. Kevin Lu
- Thesis: An Auto-drive Car based on Raspberry Pi
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2012 - 2016 BE in Automation
Chongqing University, Chongqing, China - Advisor: Prof. Jianghong Ren
- Thesis: Research on Failure Modes of Urban Secondary Water Supply System
Research and Professional Experience
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2021 - Present Research Assistant
Washington State University, EECS -
2017 Research Intern
Tsinghua University, Department of Automation - Worked with Prof. Lingxuan Zhang on genetic-algorithm-based production scheduling for assembly lines.
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2016 Automation Engineering Intern
No. 3 Research Institute of State-owned Dazhong Machine Works, China
Teaching and Outreach
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2026 Teaching Assistant / Guest Lecturer
Washington State University, EECS - Assisted with CptS 434 and delivered three lectures on neural network design and applications.
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2026 Project Assistant, Girls Who Tech Camp
Washington State University, EECS - Supported hands-on computing and project-based learning activities for high school students.
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2025 Teaching Assistant
Washington State University, EECS - CptS 434 - Neural Network Design and Applications.
Honors and Awards
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2026 - ICML Gold Reviewer
- Outstanding Dissertation in EECS, College of VCEA, Washington State University
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2025 - NeurIPS Top Reviewer
- Outstanding Research Assistant in EECS, College of VCEA, Washington State University
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2023 - 2024 - Mahmoud M. Dillsi Family Graduate Fellowship, Washington State University
Professional Service
- Program committee member / reviewer for UAI 2026, AISTATS 2026, ICLR 2026, AAAI 2026, NeurIPS 2025-2026, and ICML 2025-2026.
Mentoring
- Mentored approximately eight undergraduate and junior PhD researchers at Washington State University since 2022 on conformal prediction and uncertainty quantification.