| 2025 | IJCNN | Evolutionary Multi-Task Feature Selection Algorithm Enhanced by Heterogeneous Auxiliary Tasks. | Hao Li, Zefeng Chen, Yuren Zhou, Xiaoyun Xia |
| 2024 | AAAI | Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection. | Xiaoyuan Guan, Jiankang Chen, Shenshen Bu, Yuren Zhou, Wei-Shi Zheng, Ruixuan Wang |
| 2024 | IJCAI | Feedback-Based Adaptive Crossover-Rate in Evolutionary Computation. | Xiaoyuan Guan, Tianyi Yang, Chunliang Zhao, Yuren Zhou |
| 2024 | PPSN | Pareto-Informed Multi-objective Neural Architecture Search. | Ganyuan Luo, Hao Li, Zefeng Chen, Yuren Zhou |
| 2024 | SMC | A Multiform Evolutionary Approach with Enhanced Diversity and Opposition-Based Learning for Multi-Objective Feature Selection. | Gaohui Li, Zefeng Chen, Yuren Zhou |
| 2023 | ICCV | Revisit PCA-based technique for Out-of-Distribution Detection. | Xiaoyuan Guan, Zhouwu Liu, Wei-Shi Zheng, Yuren Zhou, Ruixuan Wang |
| 2023 | ICONIP | Towards Scalable Feature Selection: An Evolutionary Multitask Algorithm Assisted by Transfer Learning Based Co-surrogate. | Liangjiang Lin, Zefeng Chen, Yuren Zhou |
| 2023 | Mobiquitous | FedRC: Representational Consistency Guided Model Uploading Mechanism for Asynchronous Federated Learning. | Sheng Liu, Linlin You, Yuren Zhou |
| 2023 | SMC | Adaptive Multitask Evolutionary Optimization for Tasks with Non-Uniform Evaluation Cost. | Wenhui Wang, Zefeng Chen, Yuren Zhou |
| 2022 | ICSE | Search-based Diverse Sampling from Real-world Software Product Lines. | Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin, Miqing Li, Xiaowei Yang |
| 2022 | ICTAI | Reinforcement Learning Based Incentive Mechanism for Federated Meta Learning: A Game-Theoretic Perspective. | Shenglv Zhang, Yuren Zhou, Haohao Qu, Yiting Zhu, Linlin You |
| 2022 | PPSN | Towards Efficient Multiobjective Hyperparameter Optimization: A Multiobjective Multi-fidelity Bayesian Optimization and Hyperband Algorithm. | Zefeng Chen, Yuren Zhou, Zhengxin Huang, Xiaoyun Xia |
| 2021 | IJCAI | A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems. | Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin |
| 2020 | AAAI | Runtime Analysis of Somatic Contiguous Hypermutation Operators in MOEA/D Framework. | Zhengxin Huang, Yuren Zhou |
| 2020 | PPSN | Analysis on the Efficiency of Multifactorial Evolutionary Algorithms. | Zhengxin Huang, Zefeng Chen, Yuren Zhou |
| 2019 | AAAI | Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem. | Zhengxin Huang, Yuren Zhou, Zefeng Chen, Xiaoyu He |
| 2019 | ICML | Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory. | Huizhuo Yuan, Yuren Zhou, Chris Junchi Li, Qingyun Sun |
| 2019 | IJCAI | A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning. | Zefeng Chen, Yuren Zhou, Xiaoyu He, Siyu Jiang |
| 2019 | INFOCOM | Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network. | Weili Chen, Jun Wu, Zibin Zheng, Chuan Chen, Yuren Zhou |
| 2019 | SMC | Auto-creation of Effective Neural Network Architecture by Evolutionary Algorithm and ResNet for Image Classification. | Zefeng Chen, Yuren Zhou, Zhengxin Huang |
| 2018 | ICSE | Efficient blockchain-based software systems via hierarchical bucket tree. | Weili Chen, Zibin Zheng, Mingjie Ma, Pinjia He, Peilin Zheng, Yuren Zhou |
| 2018 | WWW | Detecting Ponzi Schemes on Ethereum: Towards Healthier Blockchain Technology. | Weili Chen, Zibin Zheng, Jiahui Cui, Edith C. H. Ngai, Peilin Zheng, Yuren Zhou |
| 2017 | GECCO | An initial error analysis for evolutionary algorithms. | Jun He, Yuren Zhou, Guangming Li |
| 2017 | ICSOC | Efficient Influential Individuals Discovery on Service-Oriented Social Networks: A Community-Based Approach. | Fanghua Ye, Jiahao Liu, Chuan Chen, Guohui Ling, Zibin Zheng, Yuren Zhou |
| 2014 | CEC | A theoretical assessment of solution quality in evolutionary algorithms for the knapsack problem. | Jun He, Boris Mitavskiy, Yuren Zhou |
| 2007 | GECCO | A comparison of GAs using penalizing infeasible solutions and repairing infeasible solutions on restrictive capacity knapsack problem. | Jun He, Yuren Zhou |
| 2005 | ICNC | The Convergence of a Multi-objective Evolutionary Algorithm Based on Grids. | Yuren Zhou, Jun He |
| 2003 | CEC | Multi-objective and MGG evolutionary algorithm for constrained optimization. | Yuren Zhou, Yuanxing Li, Jun He, Lishan Kang |