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publications
Paradox of AlphaZero: Strategic vs. Optimal Plays
Published in International Performance Computing and Communications Conference, 2020
Recommended citation: 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, 2020.
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CoConv: Learning Dynamic Cooperative Convolution for Image Recognition
Published in International Conference on Multimedia & Expo (Oral), 2021
Recommended citation: 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, 2021.
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Deep Learning-based Estimation of Whole-body Kinematics from Multi-view Images
Published in Computer Vision and Image Understanding, 2023
Recommended citation: 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.
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Adaptive Cascading Network for Continual Test-time Adaptation
Published in ACM International Conference on Information and Knowledge Management, 2024
Recommended citation: 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.
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SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey
Published in Annual Conference on Neural Information Processing Systems, 2024
Recommended citation: Kien X. Nguyen, Fengchun Qiao, Arthur Trembanis, and Xi Peng. "SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey." In Proceedings of the Annual Conference on Neural Information Processing Systems, 2024.
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Interpretable Failure Detection with Human-Level Concepts
Published in The AAAI Conference on Artificial Intelligence (Oral), 2025
Recommended citation: 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.
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Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model’s Prediction Rationality
Published in The AAAI Conference on Artificial Intelligence, 2025
Recommended citation: 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.
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Cross-Problem Parameter Transferability in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
Published in The IEEE Quantum Computing and Engineering, 2025
Recommended citation: Kien X. Nguyen, Bao Bach, and Ilya Safro. "Cross-Problem Parameter Transferability in Quantum Approximate Optimization Algorithm: A Machine Learning Approach." In Proceedings of the IEEE Quantum Computing and Engineering, 2025.
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Graph-Conditioned Meta-Optimizer for QAOA Parameter Generation on Multiple Problem Classes
Published in The IEEE Quantum Computing and Engineering, 2026
Recommended citation: Kien X. Nguyen and Ilya Safro. "Graph-Conditioned Meta-Optimizer for QAOA Parameter Generation on Multiple Problem Classes." In Proceedings of the IEEE Quantum Computing and Engineering, 2026.
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Quantum Hypergraph Partitioning
Published in The IEEE Quantum Computing and Engineering, 2026
Recommended citation: Cameron Ibrahim, Bao G. Bach, Jad Salem, Reuben Tate, Kien X. Nguyen, Stephan Eidenbenz, and Ilya Safro. "Quantum Hypergraph Partitioning." In Proceedings of the IEEE Quantum Computing and Engineering, 2026.
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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
Intro to Programming II
Undergraduate course, University of Delaware, Department of Computer and Information Sciences, 2022
I taught about Java and OOP concepts.
Intro to Machine Learning
Graduate course, University of Delaware, Department of Computer and Information Sciences, 2023
I taught about machine learning fundamentals, deep learning (DNN, CNN, RNN), and some applications.