| 2026 | AAAI | Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering. | Chen Wang, Yue-Jiao Gong, Zhiguang Cao, Zeyuan Ma |
| 2026 | AAAI | TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization. | Yuanting Zhong, Ting Huang, Xiaolin Xiao, Yue-Jiao Gong |
| 2026 | ACL | GMFL: Efficient Global Masking for Federated LLM Fine-tuning. | Xin Huang, Yan Hu, Yue-Jiao Gong, Xinglin Zhang |
| 2026 | GECCO | Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization. | Zijian Gao, Zeyuan Ma, Yuanting Zhong, Yue-Jiao Gong, Hongshu Guo |
| 2026 | GECCO | Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization. | Wenjie Qiu, Hao Guo, Zeyuan Ma, Yue-Jiao Gong |
| 2026 | GECCO | A Learning-Based Cooperative Coevolution Framework for Heterogeneous Large-Scale Global Optimization. | Wenjie Qiu, Zixin Wang, Hongyu Fang, Zeyuan Ma, Yue-Jiao Gong |
| 2026 | GECCO | GeM-EA: A Generative and Meta-learning Enhanced Evolutionary Algorithm for Streaming Data-Driven Optimization. | Yue Wu, Yuanting Zhong, Zeyuan Ma, Yue-Jiao Gong |
| 2026 | GECCO | COBRA++: Enhanced COBRA Optimizer with Augmented Surrogate Pool and Reinforced Surrogate Selection. | Zipei Yu, Zhiyang Huang, Hongshu Guo, Yue-Jiao Gong, Zeyuan Ma |
| 2025 | AAAI | ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning. | Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao, Xinglin Zhang, Yue-Jiao Gong |
| 2025 | CIKM | ConsensNet: A Unified Consensus-Centric Framework for Incomplete Multi-View Clustering. | Yifei Chen, Xiaolin Xiao, Yue-Jiao Gong |
| 2025 | GECCO | A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping. | Wenjie Qiu, Hongshu Guo, Zeyuan Ma, Yue-Jiao Gong |
| 2025 | GECCO | Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning. | Hongshu Guo, Sijie Ma, Zechuan Huang, Yuzhi Hu, Zeyuan Ma, Xinglin Zhang, Yue-Jiao Gong |
| 2025 | GECCO | Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study. | Zeyuan Ma, Zhiyang Huang, Jiacheng Chen, Zhiguang Cao, Yue-Jiao Gong |
| 2025 | GECCO | Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning. | Zeyuan Ma, Hongqiao Lian, Wenjie Qiu, Yue-Jiao Gong |
| 2025 | ICASSP | Lightweight Clustered Federated Learning via Feature Extraction. | Guanzhang Lao, Xinglin Zhang, Yun Li, Yue-Jiao Gong |
| 2025 | ICLR | Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding. | Jinbiao Chen, Zhiguang Cao, Jiahai Wang, Yaoxin Wu, Hanzhang Qin, Zizhen Zhang, Yue-Jiao Gong |
| 2025 | ICLR | Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization. | Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao Gong |
| 2025 | ICML | Meta-Black-Box-Optimization through Offline Q-function Learning. | Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong |
| 2025 | KDD | Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning. | Qi Li, Zhiguang Cao, Yining Ma, Yaoxin Wu, Yue-Jiao Gong |
| 2025 | KDD | Learn to Refine: Synergistic Multi-Agent Path Optimization for Lifelong Conflict-Free Navigation of Autonomous Vehicles. | Junjun Li, Zeyuan Ma, Ting Huang, Yue-Jiao Gong |
| 2024 | GECCO | RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning. | Hongqiao Lian, Zeyuan Ma, Hongshu Guo, Ting Huang, Yue-Jiao Gong |
| 2024 | GECCO | Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. | Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong |
| 2024 | GECCO | SDDObench: A Benchmark for Streaming Data-Driven Optimization with Concept Drift. | Yuanting Zhong, Xincan Wang, Yuhong Sun, Yue-Jiao Gong |
| 2024 | ICLR | SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. | Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong |
| 2024 | SMC | Transforming GP-CNN Tree Search Into Trainable Architectures for Image Classification. | Feng Sun, Yan Ke, Yue-Jiao Gong, Yun Li |
| 2023 | ICONIP | A High-Performance Tensorial Evolutionary Computation for Solving Spatial Optimization Problems. | Si-chao Lei, Hongshu Guo, Xiaolin Xiao, Yue-Jiao Gong, Jun Zhang |
| 2023 | ICONIP | DeepLink: Triplet Embedding and Spatio-Temporal Dynamics Learning of Link Representations for Travel Time Estimation. | Jiezhang Li, Yue-Jiao Gong, Ting Huang, Wei-Neng Chen |
| 2022 | KDD | Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival. | Zebin Chen, Xiaolin Xiao, Yue-Jiao Gong, Jun Fang, Nan Ma, Hua Chai, Zhiguang Cao |
| 2021 | GECCO | An efficient computational approach for automatic itinerary planning on web servers. | Zeyuan Ma, Hongshu Guo, Yinxuan Gui, Yue-Jiao Gong |
| 2020 | CEC | Niching Evolutionary Computation With a Priori Estimate for Solving Multi-Solution Traveling Salesman Problem. | Ting Huang, Yue-Jiao Gong, Xiaoyan Li, Xiao-Min Hu, Jun Zhang |
| 2020 | ICONIP | Multi-strategy Evolutionary Computation for Automated Jigsaw Puzzles. | Senhua Zhao, Yue-Jiao Gong, Xiaolin Xiao |
| 2020 | SMC | Enhancing the Performance of Evolutionary Clustering by Genetic Sequence Resorting. | Ying Wang, Yuan Li, Yue-Jiao Gong |
| 2020 | SMC | Adaptively Transferring Deep Neural Networks with a Hybrid Evolution Strategy. | Xiaoling Zhang, Yue-Jiao Gong, Xiaolin Xiao |
| 2019 | CEC | A Histogram Estimation of Distribution Algorithm for Reversible Lanes Optimization Problems. | Rui You, Wei-Neng Chen, Yue-Jiao Gong, Ying Lin, Jun Zhang |
| 2018 | GECCO | Multimodal optimization of traveling salesman problem: a niching ant colony system. | Xin-Chi Han, Hao-Wen Ke, Yue-Jiao Gong, Ying Lin, Wei-Li Liu, Jun Zhang |
| 2018 | ISNN | Video Server Deployment Using a Genetic Algorithm with Deterministic Initialization Strategy. | Xin-Yi Hu, Yue-Jiao Gong, Xinyuan Zhang, Yining Ma, Jun Zhang |
| 2017 | CEC | A parallel Ant Colony System based on region decomposition for Taxi-Passenger Matching. | Xin Situ, Wei-Neng Chen, Yue-Jiao Gong, Ying Lin, Wei-Jie Yu, Zhiwen Yu, Jun Zhang |
| 2017 | CEC | Link mapping-oriented ant colony system for virtual network embedding. | Hong-Kun Zheng, Jing-Jing Li, Yue-Jiao Gong, Wei-Neng Chen, Zhiwen Yu, Zhi-Hui Zhan, Ying Lin |
| 2017 | ICASSP | Adaptive superpixel segmentation aggregating local contour and texture features. | Xiaolin Xiao, Yue-Jiao Gong, Yicong Zhou |
| 2017 | SMC | Overlapped cooperative co-evolution for large scale optimization. | An Song, Wei-Neng Chen, Peng-Ting Luo, Yue-Jiao Gong, Jun Zhang |
| 2016 | CEC | A hybrid evolutionary algorithm with dual populations for many-objective optimization. | Yuhui Zhang, Yue-Jiao Gong, Jun Zhang, Ying-Biao Ling |
| 2015 | CEC | Composite differential evolution with queueing selection for multimodal optimization. | Yuhui Zhang, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang |
| 2015 | GECCO | Reconstructing Cross-Cut Shredded Text Documents: A Genetic Algorithm with Splicing-Driven Reproduction. | Yong-Feng Ge, Yue-Jiao Gong, Wei-Jie Yu, Xiaomin Hu, Jun Zhang |
| 2014 | GECCO | A novel genetic algorithm based on partitioning for large-scale network design problems. | Xiao-ma Huang, Yue-Jiao Gong, Jing-Jing Li, Xiaomin Hu |
| 2014 | GECCO | Multi-swarm particle swarm optimization with multiple learning strategies. | Mengqi Peng, Yue-Jiao Gong, Jing-Jing Li, Ying-Biao Lin |
| 2014 | GECCO | Automatic path planning for autonomous underwater vehicles based on an adaptive differential evolution. | Chuanbin Zhang, Yue-Jiao Gong, Jing-Jing Li, Ying Lin |
| 2014 | ICNC | Pseudo multi-population differential evolution for multimodal optimization. | Hao-Feng Li, Yue-Jiao Gong, Zhi-Hui Zhan, Wei-Neng Chen, Jun Zhang |
| 2014 | SMC | From the social learning theory to a social learning algorithm for global optimization. | Yue-Jiao Gong, Jun Zhang, Yun Li |