Xin Qiu
Collaborator
Xin as a senior research scientist at Cognizant AI Labs. He has a PhD from National University of Singapore in 2016.
Publications
     [Expand to show all 13][Minimize]
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning 2025
Xin Qiu, Yulu Gan, Conor F. Hayes, Qiyao Liang, Elliot Meyerson, Babak Hodjat, Risto Miikkulainen, arXiv:2509.24372 (2025).
NeuroSAN+NeuroAI: AI-assisted Decision-making through a Synergy of Technologies 2025
Risto Miikkulainen, Dan Fink, Olivier Francon, Babak Hodjat, Noravee Kanchanavatee, Elliot Meyerson, Xin Qiu, Darren Sargent, Hormoz Shahrzad, Deepak Singh, Jean Celestin Yamegni Noubeyo, and Daniel Young, Technical Report 2025-01, Cognizant AI Lab.
Solving a Million-Step LLM Task with Zero Errors 2025
Elliot Meyerson, Giuseppe Paolo, Roberto Dailey, Hormoz Shahrzad, Olivier Francon, Conor F. Hayes, Xin Qiu, Babak Hodjat, Risto Miikkulainen, arXiv:2511.09030 (2025).
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space 2024
Xin Qiu, Risto Miikkulainen, In Proceedings of the 38th Conference on Neural Information Processing Systems, 2024. (also arXiv:2405.13845).
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search 2023
Xin Qiu and Risto Miikkulainen, In Proceedings of the International Conference on Machine Learning (ICML-2023), , 2023. Also arXiv:2210.14016.
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model 2022
Xin Qiu and Risto Miikkulainen, In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-2022), 2022. (Also arXiv:2010.02065, which also includes the appendices).
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings) 2022
Elliot Meyerson, Xin Qiu, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 739--748, 2022.
Evaluating Medical Aesthetics Treatments through Evolved Age-Estimation Models 2021
Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Matt Yan, Michael Ye, Jingyuan Yang, Damon Caiazza, and Stephanie Manson Brown, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1009–1017, 2021.
From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic 2021
Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak Hodjat, IEEE Transactions on Evolutionary Computation, Vol. 25 (2021), pp. 386-401.
Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization 2020
Risto Miikkulainen, Myles Brundage, Jonathan Epstein, Tyler Foster, Babak Hodjat, Neil Iscoe, Jingbo Jiang, Diego Legrand, Sam Nazari, Xin Qiu, Michael Scharff, Cory Schoolland, Robert Severn, Aaron Shagrin, AI Magazine, Vol. 41 (2020), pp. 44-60.
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription 2020
Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2020), 2020.
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel 2020
Xin Qiu, Elliot Meyerson, Risto Miikkulainen, In International Conference on Learning Representations, 2020.
Enhancing Evolutionary Conversion Rate Optimization via Multi-armed Bandit Algorithms 2019
Xin Qiu and Risto Miikkulainen, In Proceedings of the 31st Conference on Innovative Applications of Artificial Intelligence 2019.
Areas of Interest
Evolutionary Computation Neuroevolution Supervised Learning Theory of Evolutionary Computation
Labs
Currently affiliated with Neural Networks