A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization. - Sen Bong Gee; Xin Qiu 001; Kay Chen Tan (IDEAL, 2013)

Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition. - Yung Siang Liau; Kay Chen Tan; Jun Hu; Xin Qiu 001; Sen Bong Gee (IDEAL, 2013)

A novel Differential Evolution (DE) algorithm for multi-objective optimization. - Xin Qiu 001; Jian-Xin Xu 001; Kay Chen Tan (IEEE Congress on Evolutionary Computation, 2014)

A Novel Hybrid Multi-objective Optimization Framework: Rotating the Objective Space. - Xin Qiu 001; Ye Huang; Jian-Xin Xu 001; Kay Chen Tan (SEAL, 2014)

A New Framework for Self-adapting Control Parameters in Multi-objective Optimization. - Xin Qiu 001; Weinan Xu; Jian-Xin Xu 001; Kay Chen Tan (GECCO, 2015)

An opposition-based self-adaptive differential evolution with decomposition for solving the multiobjective multiple salesman problem. - Jin Kiat Chong; Xin Qiu 001 (CEC, 2016)

Enhancing exploration in differential evolution via exponential recombination. - Xin Qiu 001; Jian-Xin Xu 001; Kay Chen Tan (CEC, 2016)

Adaptive Cross-Generation Differential Evolution Operators for Multiobjective Optimization. - Xin Qiu 001; Jian-Xin Xu 001; Kay Chen Tan; Hussein A. Abbass (IEEE Trans. Evol. Comput., 2016)

Multiple Exponential Recombination for Differential Evolution. - Xin Qiu 001; Kay Chen Tan; Jian-Xin Xu 001 (IEEE Trans. Cybern., 2017)

Enhancing Evolutionary Optimization in Uncertain Environments by Allocating Evaluations via Multi-armed Bandit Algorithms. - Xin Qiu 001; Risto Miikkulainen (CoRR, 2018)

A New Differential Evolution Algorithm for Minimax Optimization in Robust Design. - Xin Qiu 001; Jian-Xin Xu 001; Ying hao Xu; Kay Chen Tan (IEEE Trans. Cybern., 2018)

Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms. - Xin Qiu 001; Risto Miikkulainen (AAAI, 2019)

Effective reinforcement learning through evolutionary surrogate-assisted prescription. - Olivier Francon; Santiago Gonzalez; Babak Hodjat; Elliot Meyerson; Risto Miikkulainen; Xin Qiu 001; Hormoz Shahrzad (GECCO, 2020)

Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. - Xin Qiu 001; Elliot Meyerson; Risto Miikkulainen (ICLR, 2020)

Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization. - Risto Miikkulainen; Myles Brundage; Jonathan Epstein; Tyler Foster; Babak Hodjat; Neil Iscoe; Jingbo Jiang; Diego Legrand; Sam Nazari; Xin Qiu 001; Michael Scharff; Cory Schoolland; et al. (AI Mag., 2020)

From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic. - Risto Miikkulainen; Olivier Francon; Elliot Meyerson; Xin Qiu 001; Elisa Canzani; Babak Hodjat (CoRR, 2020)

Evaluating medical aesthetics treatments through evolved age-estimation models. - Risto Miikkulainen; Elliot Meyerson; Xin Qiu 001; Ujjayant Sinha; Raghav Kumar; Karen Hofmann; Yiyang Matt Yan; Michael Ye; Jingyuan Yang 003; Damon Caiazza; Stephanie Manson Brown (GECCO, 2021)

From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic. - Risto Miikkulainen; Olivier Francon; Elliot Meyerson; Xin Qiu 001; Darren Sargent; Elisa Canzani; Babak Hodjat (IEEE Trans. Evol. Comput., 2021)

Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model. - Xin Qiu 001; Risto Miikkulainen (AAAI, 2022)

Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings). - Elliot Meyerson; Xin Qiu 001; Risto Miikkulainen (GECCO, 2022)

Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search. - Xin Qiu 001; Risto Miikkulainen (ICML, 2023)

Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space. - Xin Qiu 001; Risto Miikkulainen (NeurIPS, 2024)

Semantic Density: Uncertainty Quantification in Semantic Space for Large Language Models. - Xin Qiu 001; Risto Miikkulainen (CoRR, 2024)

Effective Regularization Through Evolutionary Loss-Function Metalearning. - Santiago Gonzalez; Xin Qiu 001; Risto Miikkulainen (CEC, 2025)

Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives. - Elliot Meyerson; Xin Qiu 001 (CoRR, 2025)