| 2025 | CEC | Effective Regularization Through Evolutionary Loss-Function Metalearning. | Santiago Gonzalez, Xin Qiu, Risto Miikkulainen |
| 2025 | COMPSAC | FRCS-LLM: A Framework for Refining Code Summarization in Large Language Models via Pre-trained Models. | Yuqi Wang, Chunli Xie, Wenbin Zhang, Xin Qiu |
| 2025 | ICML | Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives. | Elliot Meyerson, Xin Qiu |
| 2025 | QRS | SURec: A Semantic-Driven and User Behavior Collaborative Bug Report Recommendation Method. | Xin Qiu, Chunli Xie, Yuanfa Hu, You Zeng |
| 2023 | ICML | Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search. | Xin Qiu, Risto Miikkulainen |
| 2022 | AAAI | Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model. | Xin Qiu, Risto Miikkulainen |
| 2022 | CVPR | BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster. | Jason Jinquan 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 |
| 2022 | GECCO | Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings). | Elliot Meyerson, Xin Qiu, Risto Miikkulainen |
| 2021 | GECCO | Evaluating medical aesthetics treatments through evolved age-estimation models. | 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 | IJCNN | Local Interpretable Explanations for GBDT. | Xin Qiu, Rui Zhang, Honggang Xu, Xin Li |
| 2020 | GECCO | Effective reinforcement learning through evolutionary surrogate-assisted prescription. | Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad |
| 2020 | ICLR | Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. | Xin Qiu, Elliot Meyerson, Risto Miikkulainen |
| 2019 | AAAI | Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms. | Xin Qiu, Risto Miikkulainen |
| 2019 | CLOUD | BigDL: A Distributed Deep Learning Framework for Big Data. | Jason Jinquan Dai, Yiheng Wang, Xin Qiu, Ding Ding, Yao Zhang, Yanzhang Wang, Xianyan Jia, Cherry Li Zhang, Yan Wan, Zhichao Li, Jiao Wang, Shengsheng Huang, Zhongyuan Wu, Yang Wang, Yuhao Yang, Bowen She, Dongjie Shi, Qi Lu, Kai Huang, Guoqiong Song |
| 2017 | ICONIP | Improving Object Detection with Convolutional Neural Network via Iterative Mechanism. | Xin Qiu, Chun Yuan |
| 2016 | CEC | An opposition-based self-adaptive differential evolution with decomposition for solving the multiobjective multiple salesman problem. | Jin Kiat Chong, Xin Qiu |
| 2016 | CEC | Enhancing exploration in differential evolution via exponential recombination. | Xin Qiu, Jian-Xin Xu, Kay Chen Tan |
| 2015 | GECCO | A New Framework for Self-adapting Control Parameters in Multi-objective Optimization. | Xin Qiu, Weinan Xu, Jian-Xin Xu, Kay Chen Tan |
| 2014 | CEC | A novel Differential Evolution (DE) algorithm for multi-objective optimization. | Xin Qiu, Jian-Xin Xu, Kay Chen Tan |
| 2013 | IDEAL | A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization. | Sen Bong Gee, Xin Qiu, Kay Chen Tan |
| 2013 | IDEAL | Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition. | Yung Siang Liau, Kay Chen Tan, Jun Hu, Xin Qiu, Sen Bong Gee |
| 1993 | VCIP | Image compression with the wavelet transform. | Jeffrey D. Argast, Malan D. Rampton, Xin Qiu, Todd K. Moon |