My name is
Kien X. Nguyen
I am a Ph.D. student in the Department of Computer & Information Sciences at University of Delaware, where I work under the advising of Dr. Ilya Safro in Algorithms, AI and Computational Science Lab.
My current research focus involves Machine Learning for Quantum Computing. Before coming to UD, I obtained my B.S. at Texas Christian University.
News
Udaily article
on Explainable Seafloor Intelligence research
Featured in a UDaily article discussing Explainable AI research for seabed morphodynamics analysis, funded by the Department of Defense.
- Two papers accepted to AAAI'25
- Paper accepted to NeurIPS'24
- Participated in UD ATOM Hackathon
- Paper accepted to CIKM'24
- Participated in UD DS+AI Hackathon
- Paper accepted to CVIU'23, Volume 235
Teaching
- Instructor, CISC484/684: Intro to Machine Learning (Summer 2023)
- Instructor, CISC181: Intro to Computer Science II (Summer 2022)
- Teaching Assistant, CISC684: Intro to Machine Learning (Fall 2023, Fall 2022)
- Teaching Assistant, CISC372: Parallel Computing (Spring 2023)
- Teaching Assistant, CISC181: Intro to Computer Science II (Spring 2022)
- Teaching Assistant, CISC106: General Computer Science for Engineers (Fall 2021)
Publications
Interpretable Failure Detection with Human-Level Concepts
[AAAI'25 Oral] Kien X. Nguyen,Tang Li, and Xi Peng. Interpretable Failure Detection with Human-Level Concepts. In Proceedings of the AAAI Conference on Artificial Intelligence, 2025. [pdf] [arXiv] [code]
Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model's Prediction Rationality
[AAAI'25] Qitong Wang, Tang Li, Kien X. Nguyen, and Xi Peng. Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model's Prediction Rationality. In Proceedings of the AAAI Conference on Artificial Intelligence, 2025. [pdf] [arXiv] [code]
A Large-scale Vision-Language Dataset for Seafloor Geological Survey
[NeurIPS'24] Kien X. Nguyen, Fengchun Qiao, Arthur Trembanis, and Xi Peng. A Large-scale Vision-Language Dataset for Seafloor Geological Survey. In Proceedings of the Annual Conference on Neural Information Processing Systems, 2024. [pdf] [arXiv] [code]
Adaptive Cascading Network for Continual Test-time Adaptation
[CIKM'24] Kien X. Nguyen*, Fengchun Qiao*, and Xi Peng. Adaptive Cascading Network for Continual Test-time Adaptation. In the 33rd ACM International Conference on Information and Knowledge Management, 2024. [pdf] [arXiv] [code]
Deep Learning-based Estimation of Whole-body Kinematics from Multi-view Images
[CVIU'23] Kien X. Nguyen, Liying Zheng, Ashley L. Hawke, Robert E. Carey, Scott P. Breloff, Kang Li, and Xi Peng. Deep Learning-based Estimation of Whole-body Kinematics from Multi-view Images. In Computer Vision and Image Understanding, Volume 235, October 2023. [pdf] [arXiv] [code]
CoConv: Learning Dynamic Cooperative Convolution for Image Recognition
[ICME'21 Oral] Kien X. Nguyen, Tiffany Ryu, Jocelyn Zhang, Xu Ma, Qing Yang, Song Fu, Paparao Palacharla, Nannan Wang, and Xi Wang. CoConv: Learning Dynamic Cooperative Convolution for Image Recognition. In IEEE International Conference on Multimedia & Expo, July 2021. [pdf] [code]
Paradox of AlphaZero: Strategic vs. Optimal Plays
[IPCCC'20] Ze-Li Dou, Liran Ma, Khiem Nguyen, and Kien X. Nguyen. Paradox of AlphaZero: Strategic vs. Optimal Plays. In The 39th IEEE International Performance Computing and Communications Conference, November 2020. [pdf]