Weakly Approximating Knapsack in Subquadratic Time.
CoRR, April, 2025
Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability.
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CoRR, February, 2025
A Note on Deterministic FPTAS for Partition.
CoRR, January, 2025
Approximating Partition in Near-Linear Time.
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024
A Nearly Quadratic-Time FPTAS for Knapsack.
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024
Faster Algorithms for Bounded Knapsack and Bounded Subset Sum Via Fine-Grained Proximity Results.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024
An Improved Pseudopolynomial Time Algorithm for Subset Sum.
Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024
An Equally-Split Bin Packing Problem.
Proceedings of the Combinatorial Optimization and Applications, 2024
Data Composition for Continual Learning in Application of Cyberattack Detection.
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024
Contributions to the Interface between Experimental Design and Machine Learning.
PhD thesis, 2023
Statistical Perspectives on Reliability of Artificial Intelligence Systems.
CoRR, 2021
Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments.
CoRR, 2020
Research on Design of Shared Bicycle Service System Based on Kansei Engineering.
Proceedings of the HCI International 2020 - Posters - 22nd International Conference, 2020