Xin Qiu - RankMe

36 papers A* 5A 4B 4C 2Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fine-Tuning Language Models to Know What They Know. CoRR Sangjun Park, Elliot Meyerson, Xin Qiu, Risto Miikkulainen
2026	J	`jnl`	Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost. CoRR Yinggan Xu, Risto Miikkulainen, Xin Qiu
2026	J	`jnl`	The Blessing of Dimensionality in LLM Fine-tuning: A Variance-Curvature Perspective. CoRR Qiyao Liang, Jinyeop Song, Yizhou Liu, Jeff Gore, Ila Fiete, Risto Miikkulainen, Xin Qiu
2025	B	`conf`	Effective Regularization Through Evolutionary Loss-Function Metalearning. CEC Santiago Gonzalez, Xin Qiu, Risto Miikkulainen
2025	J	`jnl`	Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning. CoRR Xin Qiu, Yulu Gan, Conor F. Hayes, Qiyao Liang, Elliot Meyerson, Babak Hodjat, Risto Miikkulainen
2025	—	`conf`	Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives. ICML (Position Papers) Elliot Meyerson, Xin Qiu
2025	J	`jnl`	Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives. CoRR Elliot Meyerson, Xin Qiu
2025	J	`jnl`	Solving a Million-Step LLM Task with Zero Errors. CoRR Elliot Meyerson, Giuseppe Paolo, Roberto Dailey, Hormoz Shahrzad, Olivier Francon, Conor F. Hayes, Xin Qiu, Babak Hodjat, Risto Miikkulainen
2024	A*	`conf`	Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space. NeurIPS Xin Qiu, Risto Miikkulainen
2024	J	`jnl`	Semantic Density: Uncertainty Quantification in Semantic Space for Large Language Models. CoRR Xin Qiu, Risto Miikkulainen
2023	A*	`conf`	Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search. ICML Xin Qiu, Risto Miikkulainen
2022	A*	`conf`	Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model. AAAI Xin Qiu, Risto Miikkulainen
2022	J	`jnl`	Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search. CoRR Xin Qiu, Risto Miikkulainen
2022	J	`jnl`	Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings). CoRR Elliot Meyerson, Xin Qiu, Risto Miikkulainen
2022	A	`conf`	Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings). GECCO Elliot Meyerson, Xin Qiu, Risto Miikkulainen
2021	A	`conf`	Evaluating medical aesthetics treatments through evolved age-estimation models. GECCO Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Matt Yan, Michael Ye, Jingyuan Yang, Damon Caiazza, Stephanie Manson Brown
2021	J	`jnl`	From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic. IEEE Trans. Evol. Comput. Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak Hodjat
2020	J	`jnl`	Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization. AI Mag. 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
2020	J	`jnl`	Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model. CoRR Xin Qiu, Risto Miikkulainen
2020	J	`jnl`	Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription. CoRR Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad
2020	A	`conf`	Effective reinforcement learning through evolutionary surrogate-assisted prescription. GECCO Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad
2020	J	`jnl`	From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic. CoRR Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Elisa Canzani, Babak Hodjat
2020	A*	`conf`	Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. ICLR Xin Qiu, Elliot Meyerson, Risto Miikkulainen
2019	A*	`conf`	Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms. AAAI Xin Qiu, Risto Miikkulainen
2019	J	`jnl`	Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. CoRR Xin Qiu, Elliot Meyerson, Risto Miikkulainen
2018	J	`jnl`	A New Differential Evolution Algorithm for Minimax Optimization in Robust Design. IEEE Trans. Cybern. Xin Qiu, Jian-Xin Xu, Ying hao Xu, Kay Chen Tan
2018	J	`jnl`	Enhancing Evolutionary Optimization in Uncertain Environments by Allocating Evaluations via Multi-armed Bandit Algorithms. CoRR Xin Qiu, Risto Miikkulainen
2017	J	`jnl`	Multiple Exponential Recombination for Differential Evolution. IEEE Trans. Cybern. Xin Qiu, Kay Chen Tan, Jian-Xin Xu
2016	J	`jnl`	Adaptive Cross-Generation Differential Evolution Operators for Multiobjective Optimization. IEEE Trans. Evol. Comput. Xin Qiu, Jian-Xin Xu, Kay Chen Tan, Hussein A. Abbass
2016	B	`conf`	An opposition-based self-adaptive differential evolution with decomposition for solving the multiobjective multiple salesman problem. CEC Jin Kiat Chong, Xin Qiu
2016	B	`conf`	Enhancing exploration in differential evolution via exponential recombination. CEC Xin Qiu, Jian-Xin Xu, Kay Chen Tan
2015	A	`conf`	A New Framework for Self-adapting Control Parameters in Multi-objective Optimization. GECCO Xin Qiu, Weinan Xu, Jian-Xin Xu, Kay Chen Tan
2014	—	`conf`	A Novel Hybrid Multi-objective Optimization Framework: Rotating the Objective Space. SEAL Xin Qiu, Ye Huang, Jian-Xin Xu, Kay Chen Tan
2014	B	`conf`	A novel Differential Evolution (DE) algorithm for multi-objective optimization. IEEE Congress on Evolutionary Computation Xin Qiu, Jian-Xin Xu, Kay Chen Tan
2013	C	`conf`	A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization. IDEAL Sen Bong Gee, Xin Qiu, Kay Chen Tan
2013	C	`conf`	Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition. IDEAL Yung Siang Liau, Kay Chen Tan, Jun Hu, Xin Qiu, Sen Bong Gee