Qiu, Xin

7 publications

ICML 2025 Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives Elliot Meyerson, Xin Qiu

NeurIPS 2024 Semantic Density: Uncertainty Quantification for Large Language Models Through Confidence Measurement in Semantic Space Xin Qiu, Risto Miikkulainen

ICML 2023 Shortest Edit Path Crossover: A Theory-Driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search Xin Qiu, Risto Miikkulainen

CVPR 2022 BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster Jason Dai, Ding Ding, Dongjie Shi, Shengsheng Huang, Jiao Wang, Xin Qiu, Kai Huang, Guoqiong Song, Yang Wang, Qiyuan Gong, Jiaming Song, Shan Yu, Le Zheng, Yina Chen, Junwei Deng, Ge Song

AAAI 2022 Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model Xin Qiu, Risto Miikkulainen

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

AAAI 2019 Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms Xin Qiu, Risto Miikkulainen