Xin Qiu
Orcid: 0000-0001-5358-8854Affiliations:
- Cognizant Technology Solutions, San Francisco, CA, USA
- National University of Singapore, Singapore (PhD 2016)
According to our database1,
Xin Qiu
authored at least 25 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
CoRR, February, 2025
Proceedings of the IEEE Congress on Evolutionary Computation, 2025
2024
Semantic Density: Uncertainty Quantification in Semantic Space for Large Language Models.
CoRR, 2024
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search.
Proceedings of the International Conference on Machine Learning, 2023
2022
Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings).
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic.
IEEE Trans. Evol. Comput., 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic.
CoRR, 2020
AI Mag., 2020
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel.
Proceedings of the 8th International Conference on Learning Representations, 2020
Effective reinforcement learning through evolutionary surrogate-assisted prescription.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Cybern., 2018
Enhancing Evolutionary Optimization in Uncertain Environments by Allocating Evaluations via Multi-armed Bandit Algorithms.
CoRR, 2018
2017
IEEE Trans. Cybern., 2017
2016
Adaptive Cross-Generation Differential Evolution Operators for Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
An opposition-based self-adaptive differential evolution with decomposition for solving the multiobjective multiple salesman problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
A New Framework for Self-adapting Control Parameters in Multi-objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013