neural networks research group
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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 17][Minimize]
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning Xin Qiu, Yulu Gan, Conor F. Hayes, Qiyao Liang, Yinggan Xu, Roberto Dailey, Elliot Meyerson, Babak H... In Proceedings of the 43rd International Conference on Machine Learning, 2026. (Also arXiv:... 2026
Fine-Tuning Language Models to Know What They Know Sangjun Park, Elliot Meyerson, Xin Qiu, Risto Miikkulainen arxiv:2602.02605, 2026. 2026
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost Yinggan Xu, Risto Miikkulainen, Xin Qiu arXiv:2602.03120, 2026. 2026
The Blessing of Dimensionality in LLM Fine-tuning: A Variance-Curvature Perspective Qiyao Liang, Jinyeop Song, Yizhou Liu, Jeff Gore, Ila Fiete, Risto Miikkulainen, Xin Qiu arXiv:2602.00170, 2026. 2026
Overcoming Forgetting in LLM Fine-Tuning with Evolution Strategies Kajetan Schweighofer, Conor F. Hayes, Roberto Dailey, Risto Miikkulainen, Xin Qiu arXiv:2605.30148, 2026. 2026
NeuroSAN+NeuroAI: AI-assisted Decision-making through a Synergy of Technologies Risto Miikkulainen, Dan Fink, Olivier Francon, Babak Hodjat, Noravee Kanchanavatee, Elliot Meyerson,... Technical Report 2025-01, Cognizant AI Lab, San Francisco, CA, 2025. 2025
Solving a Million-Step LLM Task with Zero Errors Elliot Meyerson, Giuseppe Paolo, Roberto Dailey, Hormoz Shahrzad, Olivier Francon, Conor F. Hayes, X... arXiv:2511.09030, 2025. 2025
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space Xin Qiu, Risto Miikkulainen In Proceedings of the 38th Conference on Neural Information Processing Systems, 2024. (also... 2024
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search Xin Qiu and Risto Miikkulainen In Proceedings of the International Conference on Machine Learning (ICML-2023)( ), 2023. Al... 2023
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model Xin Qiu and Risto Miikkulainen In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-2022), 2022. (A... 2022
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings) Elliot Meyerson, Xin Qiu, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 739--748, 2022. 2022
From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak ... IEEE Transactions on Evolutionary Computation, 25:386-401, 2021. 2021
Evaluating Medical Aesthetics Treatments through Evolved Age-Estimation Models Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Ma... In Proceedings of the Genetic and Evolutionary Computation Conference, 1009–1017, 2021. 2021
Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization Risto Miikkulainen, Myles Brundage, Jonathan Epstein, Tyler Foster, Babak Hodjat, Neil Iscoe, Jingbo... AI Magazine, 41:44-60, 2020. 2020
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel Xin Qiu, Elliot Meyerson, Risto Miikkulainen In International Conference on Learning Representations, 2020. 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Horm... In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2020), 2020. 2020
Enhancing Evolutionary Conversion Rate Optimization via Multi-armed Bandit Algorithms Xin Qiu and Risto Miikkulainen In Proceedings of the 31st Conference on Innovative Applications of Artificial Intelligence, ... 2019
Areas of Interest
Supervised Learning Evolutionary Computation Neuroevolution Theory of Evolutionary Computation
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