Yue-Jiao Gong - RankMe

195 papers A* 9A 13B 18C 1Misc 3Journal 125Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	COBRA++: Enhanced COBRA Optimizer with Augmented Surrogate Pool and Reinforced Surrogate Selection. CoRR Zipei Yu, Zhiyang Huang, Hongshu Guo, Yue-Jiao Gong, Zeyuan Ma
2026	J	`jnl`	Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization. CoRR Zijian Gao, Yuanting Zhong, Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo
2026	J	`jnl`	Evolution of Benchmark: Black-Box Optimization Benchmark Design through Large Language Model. CoRR Chen Wang, Sijie Ma, Zeyuan Ma, Yue-Jiao Gong
2026	J	`jnl`	Evolutionary neural architecture search with dual contrastive learning. Appl. Soft Comput. Xian-Rong Zhang, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang
2026	J	`jnl`	Incomplete Multi-View Clustering With Joint Shared and Private Self-Representation Learning. IEEE Trans. Circuits Syst. Video Technol. Yue Wu, Xiaolin Xiao, Yue-Jiao Gong
2026	A*	`conf`	Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering. AAAI Chen Wang, Yue-Jiao Gong, Zhiguang Cao, Zeyuan Ma
2026	J	`jnl`	Large language model as meta-surrogate for offline data-driven many-task optimization: A proof-of-principle study. Inf. Sci. Xian-Rong Zhang, Yue-Jiao Gong, Yuanting Zhong, Ting Huang, Jun Zhang
2026	J	`jnl`	READY: Reward Discovery for Meta-Black-Box Optimization. CoRR Zechuan Huang, Zhiguang Cao, Hongshu Guo, Yue-Jiao Gong, Zeyuan Ma
2026	J	`jnl`	Reinforcement Learning-assisted Constraint Relaxation for Constrained Expensive Optimization. CoRR Qianhao Zhu, Sijie Ma, Zeyuan Ma, Hongshu Guo, Yue-Jiao Gong
2026	J	`jnl`	Surrogate Ensemble in Expensive Multi-Objective Optimization via Deep Q-Learning. CoRR Yuxin Wu, Hongshu Guo, Ting Huang, Yue-Jiao Gong, Zeyuan Ma
2026	A*	`conf`	TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization. AAAI Yuanting Zhong, Ting Huang, Xiaolin Xiao, Yue-Jiao Gong
2026	J	`jnl`	Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization. IEEE Trans. Evol. Comput. Zeyuan Ma, Hongshu Guo, Yue-Jiao Gong, Jun Zhang, Kay Chen Tan
2026	J	`jnl`	Tree Structured Cooperative Coevolutionary Genetic Algorithm for Fragment Reconstruction. IEEE Trans. Evol. Comput. Xin-Yuan Zhang, Jin-Hao Yang, Yue-Jiao Gong, Zhi-Hui Zhan, Jun Zhang
2025	—	`conf`	A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping. GECCO Companion Wenjie Qiu, Hongshu Guo, Zeyuan Ma, Yue-Jiao Gong
2025	J	`jnl`	A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping. CoRR Wenjie Qiu, Hongshu Guo, Zeyuan Ma, Yue-Jiao Gong
2025	J	`jnl`	A Robust Lifelong Multi-Agent Path Finding With Active Conflict Resolution and Decentralized Execution. IEEE Robotics Autom. Lett. Feng Zhuang, Ting Huang, Quan Xu, Yue-Jiao Gong, Jing Liu
2025	A	`conf`	Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning. GECCO Zeyuan Ma, Hongqiao Lian, Wenjie Qiu, Yue-Jiao Gong
2025	J	`jnl`	Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning. CoRR Zeyuan Ma, Hongqiao Lian, Wenjie Qiu, Yue-Jiao Gong
2025	J	`jnl`	Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization. CoRR Hongshu Guo, Wenjie Qiu, Zeyuan Ma, Xinglin Zhang, Jun Zhang, Yue-Jiao Gong
2025	J	`jnl`	An efficient history-guided surrogate models-assisted niching evolutionary algorithm for expensive multimodal optimization. Swarm Evol. Comput. Ting Huang, Bing-Bing Niu, Yue-Jiao Gong, Jing Liu
2025	A*	`conf`	ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning. AAAI Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao, Xinglin Zhang, Yue-Jiao Gong
2025	A	`conf`	ConsensNet: A Unified Consensus-Centric Framework for Incomplete Multi-View Clustering. CIKM Yifei Chen, Xiaolin Xiao, Yue-Jiao Gong
2025	J	`jnl`	Continuous Berth Allocation and Time-Variant Quay Crane Assignment: Memetic Algorithm With a Heuristic Decoding Method. IEEE Trans. Intell. Transp. Syst. Li-Sha Xu, Ting Huang, Bowen Zhao, Yue-Jiao Gong, Jing Liu
2025	J	`jnl`	DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization. CoRR Hongshu Guo, Zeyuan Ma, Yining Ma, Xinglin Zhang, Wei-Neng Chen, Yue-Jiao Gong
2025	—	`conf`	Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning. KDD (1) Qi Li, Zhiguang Cao, Yining Ma, Yaoxin Wu, Yue-Jiao Gong
2025	J	`jnl`	Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning. CoRR Qi Li, Zhiguang Cao, Yining Ma, Yaoxin Wu, Yue-Jiao Gong
2025	J	`jnl`	Evolutionary Neural Architecture Search with Dual Contrastive Learning. CoRR Xian-Rong Zhang, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang
2025	J	`jnl`	Evolutionary System 2 Reasoning: An Empirical Proof. CoRR Zeyuan Ma, Wenqi Huang, Guo-Huan Song, Hongshu Guo, Sijie Ma, Zhiguang Cao, Yue-Jiao Gong
2025	J	`jnl`	Incremental learning-enhanced ensemble surrogate-assisted evolutionary algorithm for lifelong berth allocation and quay crane assignment problems. Swarm Evol. Comput. Li-Sha Xu, Yi-Ming Wang, Ting Huang, Yue-Jiao Gong, Jing Liu
2025	J	`jnl`	Instance Generation for Meta-Black-Box Optimization through Latent Space Reverse Engineering. CoRR Chen Wang, Zeyuan Ma, Zhiguang Cao, Yue-Jiao Gong
2025	J	`jnl`	Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven Optimization. CoRR Xian-Rong Zhang, Yue-Jiao Gong, Zhiguang Cao, Jun Zhang
2025	J	`jnl`	Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven Optimization. ACM Trans. Evol. Learn. Optim. Xian-Rong Zhang, Yue-Jiao Gong, Zhiguang Cao, Jun Zhang
2025	J	`jnl`	Large Language Model as Meta-Surrogate for Data-Driven Many-Task Optimization: A Proof-of-Principle Study. CoRR Xian-Rong Zhang, Yue-Jiao Gong, Jun Zhang
2025	—	`conf`	Learn to Refine: Synergistic Multi-Agent Path Optimization for Lifelong Conflict-Free Navigation of Autonomous Vehicles. KDD (2) Junjun Li, Zeyuan Ma, Ting Huang, Yue-Jiao Gong
2025	J	`jnl`	Learning Orthogonal Latent Representations for Multi-View Clustering. IEEE Trans. Multim. Xiaolin Xiao, Yue-Jiao Gong, Yicong Zhou
2025	J	`jnl`	Learning Where, What and How to Transfer: A Multi-Role Reinforcement Learning Approach for Evolutionary Multitasking. CoRR Jiajun Zhan, Zeyuan Ma, Yue-Jiao Gong, Kay Chen Tan
2025	Misc	`conf`	Lightweight Clustered Federated Learning via Feature Extraction. ICASSP Guanzhang Lao, Xinglin Zhang, Yun Li, Yue-Jiao Gong
2025	A*	`conf`	Meta-Black-Box-Optimization through Offline Q-function Learning. ICML Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong
2025	J	`jnl`	Meta-Black-Box-Optimization through Offline Q-function Learning. CoRR Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong
2025	J	`jnl`	MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization. CoRR Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo, Wenjie Qiu, Sijie Ma, Hongqiao Lian, Jiajun Zhan, Kaixu Chen, Chen Wang, Zhiyang Huang, Zechuan Huang, Guojun Peng, Ran Cheng, Yining Ma
2025	A*	`conf`	Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization. ICLR Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao Gong
2025	J	`jnl`	Offline Multi-Task Multi-Objective Data-Driven Evolutionary Algorithm with Language Surrogate Model and Implicit Q-Learning. CoRR Xian-Rong Zhang, Yue-Jiao Gong, Zeyuan Ma, Jun Zhang
2025	A	`conf`	Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning. GECCO Hongshu Guo, Sijie Ma, Zechuan Huang, Yuzhi Hu, Zeyuan Ma, Xinglin Zhang, Yue-Jiao Gong
2025	J	`jnl`	Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning. CoRR Hongshu Guo, Sijie Ma, Zechuan Huang, Yuzhi Hu, Zeyuan Ma, Xinglin Zhang, Yue-Jiao Gong
2025	A*	`conf`	Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding. ICLR Jinbiao Chen, Zhiguang Cao, Jiahai Wang, Yaoxin Wu, Hanzhang Qin, Zizhen Zhang, Yue-Jiao Gong
2025	A	`conf`	Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study. GECCO Zeyuan Ma, Zhiyang Huang, Jiacheng Chen, Zhiguang Cao, Yue-Jiao Gong
2025	J	`jnl`	Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study. CoRR Zeyuan Ma, Zhiyang Huang, Jiacheng Chen, Zhiguang Cao, Yue-Jiao Gong
2025	J	`jnl`	Symbolic Regression-Assisted Offline Data-Driven Evolutionary Computation. IEEE Trans. Evol. Comput. Yugong Sun, Ting Huang, Jing-Hui Zhong, Jun Zhang, Yue-Jiao Gong
2025	J	`jnl`	TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization. CoRR Yuanting Zhong, Ting Huang, Xiaolin Xiao, Yue-Jiao Gong
2025	J	`jnl`	nLKH-ACS: A Niching Lin-Kernighan-Helsgaun-Based Ant Colony System for Multisolution Traveling Salesman Problems. IEEE Trans. Evol. Comput. Ting Huang, Zhen-Quan Zhang, Yue-Jiao Gong, Jing Liu
2024	J	`jnl`	A Multiagent Co-Evolutionary Algorithm With Penalty-Based Objective for Network-Based Distributed Optimization. IEEE Trans. Syst. Man Cybern. Syst. Tai-You Chen, Wei-Neng Chen, Xiao-Qi Guo, Yue-Jiao Gong, Jun Zhang
2024	J	`jnl`	Accurate Complementarity Learning for Graph-Based Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. Xiaolin Xiao, Yue-Jiao Gong
2024	A	`conf`	Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. GECCO Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong
2024	J	`jnl`	Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. CoRR Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong
2024	J	`jnl`	Boosting Diversity in Visual Search with Pareto Non-Dominated Re-Ranking. ACM Trans. Multim. Comput. Commun. Appl. Si-chao Lei, Yue-Jiao Gong, Xiaolin Xiao, Yicong Zhou, Jun Zhang
2024	J	`jnl`	ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning. CoRR Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao, Xinglin Zhang, Yue-Jiao Gong
2024	J	`jnl`	Customized influence maximization in attributed social networks: heuristic and meta-heuristic algorithms. Complex Intell. Syst. Jun-Chao Liang, Yue-Jiao Gong, Xiao-Kun Wu, Yuan Li
2024	J	`jnl`	Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. CoRR Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong
2024	J	`jnl`	Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. IEEE Trans. Syst. Man Cybern. Syst. Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong
2024	J	`jnl`	EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering. IEEE Trans. Knowl. Data Eng. Jun-Xian Chen, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang
2024	J	`jnl`	LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation. CoRR Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Guojun Peng, Zhiguang Cao, Yining Ma, Yue-Jiao Gong
2024	J	`jnl`	Neural Exploratory Landscape Analysis. CoRR Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao Gong
2024	J	`jnl`	Offline Data-Driven Optimization at Scale: A Cooperative Coevolutionary Approach. IEEE Trans. Evol. Comput. Yue-Jiao Gong, Yuanting Zhong, Hao-Gan Huang
2024	A	`conf`	RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning. GECCO Hongqiao Lian, Zeyuan Ma, Hongshu Guo, Ting Huang, Yue-Jiao Gong
2024	J	`jnl`	RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning. CoRR Hongqiao Lian, Zeyuan Ma, Hongshu Guo, Ting Huang, Yue-Jiao Gong
2024	J	`jnl`	Relative Comparison-Based Consensus Learning for Multi-View Subspace Clustering. IEEE Trans. Circuits Syst. Video Technol. Xiaolin Xiao, Yue Wu, Yue-Jiao Gong
2024	A	`conf`	SDDObench: A Benchmark for Streaming Data-Driven Optimization with Concept Drift. GECCO Yuanting Zhong, Xincan Wang, Yuhong Sun, Yue-Jiao Gong
2024	A*	`conf`	SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. ICLR Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong
2024	J	`jnl`	Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. CoRR Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong
2024	J	`jnl`	Tensorial Evolutionary Computation for Spatial Optimization Problems. IEEE Trans. Artif. Intell. Si-chao Lei, Xiaolin Xiao, Yue-Jiao Gong, Yun Li, Jun Zhang
2024	J	`jnl`	Tensorial Evolutionary Optimization for Natural Image Matting. ACM Trans. Multim. Comput. Commun. Appl. Si-chao Lei, Yue-Jiao Gong, Xiaolin Xiao, Yicong Zhou, Jun Zhang
2024	J	`jnl`	Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization. CoRR Zeyuan Ma, Hongshu Guo, Yue-Jiao Gong, Jun Zhang, Kay Chen Tan
2024	B	`conf`	Transforming GP-CNN Tree Search Into Trainable Architectures for Image Classification. SMC Feng Sun, Yan Ke, Yue-Jiao Gong, Yun Li
2024	J	`jnl`	Two-Layer Optimization With Utility Game and Resource Control for Federated Learning in Edge Networks. IEEE Trans. Mob. Comput. Fengsen Tian, Xinglin Zhang, Xiumin Wang, Yue-Jiao Gong
2023	—	`conf`	A High-Performance Tensorial Evolutionary Computation for Solving Spatial Optimization Problems. ICONIP (7) Si-chao Lei, Hongshu Guo, Xiaolin Xiao, Yue-Jiao Gong, Jun Zhang
2023	J	`jnl`	Adaptive encoding-based evolutionary approach for Chinese document clustering. Complex Intell. Syst. Jun-Xian Chen, Yue-Jiao Gong, Wei-Neng Chen, Xiaolin Xiao
2023	J	`jnl`	Automated Team Assembly in Mobile Games: A Data-Driven Evolutionary Approach Using a Deep Learning Surrogate. IEEE Trans. Games Yue-Jiao Gong, Jian-Xiong Guo, Da-Lue Lin, Yuan-Lin Zuo, Jun-Chao Liang, Linjun Luo, Xian-Xin Shao, Chao Zhou, Meng-Ting Li
2023	J	`jnl`	Contrastive Learning: An Alternative Surrogate for Offline Data-Driven Evolutionary Computation. IEEE Trans. Evol. Comput. Hao-Gan Huang, Yue-Jiao Gong
2023	—	`conf`	DeepLink: Triplet Embedding and Spatio-Temporal Dynamics Learning of Link Representations for Travel Time Estimation. ICONIP (14) Jiezhang Li, Yue-Jiao Gong, Ting Huang, Wei-Neng Chen
2023	J	`jnl`	Length adaptive hashing for semi-supervised semantic image retrieval. Multim. Tools Appl. Si-chao Lei, Xing Tian, Wing W. Y. Ng, Yue-Jiao Gong
2023	J	`jnl`	Locality sensitive hashing-driven multifactorial evolutionary algorithms for multitask optimization. Appl. Soft Comput. Tuo-Bin Yu, Yu-Hui Zhang, Yue-Jiao Gong, Yuan Li
2023	J	`jnl`	MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous Underwater Vehicles. IEEE Trans. Intell. Transp. Syst. Yue-Jiao Gong, Ting Huang, Yining Ma, Sang-Woon Jeon, Jun Zhang
2023	A*	`conf`	MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning. NeurIPS Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao
2023	J	`jnl`	MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning. CoRR Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao
2023	J	`jnl`	Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter
2023	J	`jnl`	Travel Time Distribution Estimation by Learning Representations Over Temporal Attributed Graphs. IEEE Trans. Intell. Transp. Syst. Wanyi Zhou, Xiaolin Xiao, Yue-Jiao Gong, Jia Chen, Jun Fang, Naiqiang Tan, Nan Ma, Qun Li, Hua Chai, Sang-Woon Jeon, Jun Zhang
2022	J	`jnl`	A Probabilistic Niching Evolutionary Computation Framework Based on Binary Space Partitioning. IEEE Trans. Cybern. Ting Huang, Yue-Jiao Gong, Wei-Neng Chen, Hua Wang, Jun Zhang
2022	J	`jnl`	Bipartite Cooperative Coevolution for Energy-Aware Coverage Path Planning of UAVs. IEEE Trans. Artif. Intell. Xian-Xin Shao, Yue-Jiao Gong, Zhi-Hui Zhan, Jun Zhang
2022	A*	`conf`	Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival. KDD Zebin Chen, Xiaolin Xiao, Yue-Jiao Gong, Jun Fang, Nan Ma, Hua Chai, Zhiguang Cao
2022	J	`jnl`	Multi-task Learning for Sparse Traffic Forecasting. CoRR Jiezhang Li, Junjun Li, Yue-Jiao Gong
2022	J	`jnl`	Multiclass Classification on High Dimension and Low Sample Size Data Using Genetic Programming. IEEE Trans. Emerg. Top. Comput. Tingyang Wei, Wei-Li Liu, Jinghui Zhong, Yue-Jiao Gong
2021	A	`conf`	An efficient computational approach for automatic itinerary planning on web servers. GECCO Zeyuan Ma, Hongshu Guo, Yinxuan Gui, Yue-Jiao Gong
2021	J	`jnl`	Elastic Differential Evolution for Automatic Data Clustering. IEEE Trans. Cybern. Jun-Xian Chen, Yue-Jiao Gong, Wei-Neng Chen, Mengting Li, Jun Zhang
2021	—	`conf`	Geo-Attention Network for Traffic Condition Prediction and Travel Time Estimation. SIGSPATIAL/GIS Jiezhang Li, Wanyi Zhou, Zebin Chen, Yue-Jiao Gong
2021	—	`conf`	Heterogeneous Multiobjective Differential Evolution for Electric Vehicle Charging Scheduling. SSCI Wei-Li Liu, Yue-Jiao Gong, Wei-Neng Chen, Jinghu Zhong, Sang-Woon Jean, Jun Zhang
2021	J	`jnl`	Low-Rank Preserving t-Linear Projection for Robust Image Feature Extraction. IEEE Trans. Image Process. Xiaolin Xiao, Yongyong Chen, Yue-Jiao Gong, Yicong Zhou
2021	J	`jnl`	Maximizing Lifetime of Range-Adjustable Wireless Sensor Networks: A Neighborhood-Based Estimation of Distribution Algorithm. IEEE Trans. Cybern. Zong-Gan Chen, Ying Lin, Yue-Jiao Gong, Zhi-Hui Zhan, Jun Zhang
2021	J	`jnl`	On Reliable Multi-View Affinity Learning for Subspace Clustering. IEEE Trans. Multim. Xiaolin Xiao, Yue-Jiao Gong, Zhongyun Hua, Wei-Neng Chen
2021	J	`jnl`	Prior Knowledge Regularized Multiview Self-Representation and its Applications. IEEE Trans. Neural Networks Learn. Syst. Xiaolin Xiao, Yongyong Chen, Yue-Jiao Gong, Yicong Zhou
2021	J	`jnl`	Real-Time Taxi-Passenger Matching Using a Differential Evolutionary Fuzzy Controller. IEEE Trans. Syst. Man Cybern. Syst. Yue-Jiao Gong, Yi-Wen Liu, Ying Lin, Wei-Neng Chen, Jun Zhang
2021	—	`conf`	Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. NeurIPS (Competition and Demos) Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter
2020	J	`jnl`	2D Quaternion Sparse Discriminant Analysis. IEEE Trans. Image Process. Xiaolin Xiao, Yongyong Chen, Yue-Jiao Gong, Yicong Zhou
2020	J	`jnl`	A Divide-and-Conquer Evolutionary Algorithm for Large-Scale Virtual Network Embedding. IEEE Trans. Evol. Comput. An Song, Wei-Neng Chen, Yue-Jiao Gong, Xiaonan Luo, Jun Zhang
2020	J	`jnl`	A Niching Memetic Algorithm for Multi-Solution Traveling Salesman Problem. IEEE Trans. Evol. Comput. Ting Huang, Yue-Jiao Gong, Sam Kwong, Hua Wang, Jun Zhang
2020	B	`conf`	Adaptively Transferring Deep Neural Networks with a Hybrid Evolution Strategy. SMC Xiaoling Zhang, Yue-Jiao Gong, Xiaolin Xiao
2020	J	`jnl`	Automatic Planning of Multiple Itineraries: A Niching Genetic Evolution Approach. IEEE Trans. Intell. Transp. Syst. Ting Huang, Yue-Jiao Gong, Yu-Hui Zhang, Zhi-Hui Zhan, Jun Zhang
2020	J	`jnl`	Concurrent optimization of multiple base learners in neural network ensembles: An adaptive niching differential evolution approach. Neurocomputing Ting Huang, Dan-Ting Duan, Yue-Jiao Gong, Long Ye, Wing W. Y. Ng, Jun Zhang
2020	J	`jnl`	Coordinated Charging Scheduling of Electric Vehicles: A Mixed-Variable Differential Evolution Approach. IEEE Trans. Intell. Transp. Syst. Wei-Li Liu, Yue-Jiao Gong, Wei-Neng Chen, Zhiqin Liu, Hua Wang, Jun Zhang
2020	B	`conf`	Enhancing the Performance of Evolutionary Clustering by Genetic Sequence Resorting. SMC Ying Wang, Yuan Li, Yue-Jiao Gong
2020	J	`jnl`	EvoTSC: An evolutionary computation-based traffic signal controller for large-scale urban transportation networks. Appl. Soft Comput. Wei-Li Liu, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang
2020	—	`conf`	Multi-strategy Evolutionary Computation for Automated Jigsaw Puzzles. ICONIP (2) Senhua Zhao, Yue-Jiao Gong, Xiaolin Xiao
2020	B	`conf`	Niching Evolutionary Computation With a Priori Estimate for Solving Multi-Solution Traveling Salesman Problem. CEC Ting Huang, Yue-Jiao Gong, Xiaoyan Li, Xiao-Min Hu, Jun Zhang
2020	J	`jnl`	Parameter-Free Voronoi Neighborhood for Evolutionary Multimodal Optimization. IEEE Trans. Evol. Comput. Yu-Hui Zhang, Yue-Jiao Gong, Ying Gao, Hua Wang, Jun Zhang
2019	J	`jnl`	A Discrete Multiobjective Particle Swarm Optimizer for Automated Assembly of Parallel Cognitive Diagnosis Tests. IEEE Trans. Cybern. Ying Lin, Ye-shi Jiang, Yue-Jiao Gong, Zhi-Hui Zhan, Jun Zhang
2019	J	`jnl`	A Distributed Coevolution Algorithm for Black Box Optimization of Demand Response. IEEE Access Xinyuan Zhang, Yue-Jiao Gong, Yuren Zhou, Ying Lin
2019	J	`jnl`	A Dual-Colony Ant Algorithm for the Receiving and Shipping Door Assignments in Cross-Docks. IEEE Trans. Intell. Transp. Syst. Yu-Hui Zhang, Yue-Jiao Gong, Wei-Neng Chen, Tianlong Gu, Huaqiang Yuan, Jun Zhang
2019	B	`conf`	A Histogram Estimation of Distribution Algorithm for Reversible Lanes Optimization Problems. CEC Rui You, Wei-Neng Chen, Yue-Jiao Gong, Ying Lin, Jun Zhang
2019	J	`jnl`	A tree-structured random walking swarm optimizer for multimodal optimization. Appl. Soft Comput. Yu-Hui Zhang, Yue-Jiao Gong, Huaqiang Yuan, Jun Zhang
2019	J	`jnl`	An Optimization and Auction-Based Incentive Mechanism to Maximize Social Welfare for Mobile Crowdsourcing. IEEE Trans. Comput. Soc. Syst. Yingjie Wang, Zhipeng Cai, Zhi-Hui Zhan, Yue-Jiao Gong, Xiangrong Tong
2019	J	`jnl`	DECAL: Decomposition-Based Coevolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Cybern. Yu-Hui Zhang, Yue-Jiao Gong, Tianlong Gu, Huaqiang Yuan, Wei Zhang, Sam Kwong, Jun Zhang
2019	J	`jnl`	Dynamic Cooperative Coevolution for Large Scale Optimization. IEEE Trans. Evol. Comput. Xinyuan Zhang, Yue-Jiao Gong, Ying Lin, Jie Zhang, Sam Kwong, Jun Zhang
2019	J	`jnl`	Ensemble mating selection in evolutionary many-objective search. Appl. Soft Comput. Yu-Hui Zhang, Yue-Jiao Gong, Tianlong Gu, Jun Zhang
2019	J	`jnl`	Historical and Heuristic-Based Adaptive Differential Evolution. IEEE Trans. Syst. Man Cybern. Syst. Xiao-Fang Liu, Zhi-Hui Zhan, Ying Lin, Wei-Neng Chen, Yue-Jiao Gong, Tianlong Gu, Huaqiang Yuan, Jun Zhang
2019	J	`jnl`	Multi-objective Genetic Algorithm for Continuous Network Design Problems. Aust. J. Intell. Inf. Process. Syst. Rui You, Wei-Neng Chen, An Song, Jinghui Zhong, Yue-Jiao Gong
2019	J	`jnl`	Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach. IEEE Trans. Cybern. Zong-Gan Chen, Zhi-Hui Zhan, Ying Lin, Yue-Jiao Gong, Tianlong Gu, Feng Zhao, Huaqiang Yuan, Xiaofeng Chen, Qing Li, Jun Zhang
2019	J	`jnl`	Path Planning for Autonomous Underwater Vehicles: An Ant Colony Algorithm Incorporating Alarm Pheromone. IEEE Trans. Veh. Technol. Yining Ma, Yue-Jiao Gong, Chu-Feng Xiao, Ying Gao, Jun Zhang
2019	J	`jnl`	RGB-'D' Saliency Detection With Pseudo Depth. IEEE Trans. Image Process. Xiaolin Xiao, Yicong Zhou, Yue-Jiao Gong
2018	—	`conf`	A novel genetic algorithm for lifetime maximization of wireless sensor networks with adjustable sensing range. GECCO (Companion) Zihui Wu, Ying Lin, Yue-Jiao Gong, Zhengjia Dai, Jun Zhang
2018	J	`jnl`	A tri-objective differential evolution approach for multimodal optimization. Inf. Sci. Wei-Jie Yu, Jing-Yu Ji, Yue-Jiao Gong, Qiang Yang, Jun Zhang
2018	J	`jnl`	AntMapper: An Ant Colony-Based Map Matching Approach for Trajectory-Based Applications. IEEE Trans. Intell. Transp. Syst. Yue-Jiao Gong, En Chen, Xinglin Zhang, Lionel M. Ni, Jun Zhang
2018	J	`jnl`	Content-Adaptive Superpixel Segmentation. IEEE Trans. Image Process. Xiaolin Xiao, Yicong Zhou, Yue-Jiao Gong
2018	J	`jnl`	Differential Evolutionary Superpixel Segmentation. IEEE Trans. Image Process. Yue-Jiao Gong, Yicong Zhou
2018	J	`jnl`	Distributed Differential Evolution Based on Adaptive Mergence and Split for Large-Scale Optimization. IEEE Trans. Cybern. Yong-Feng Ge, Wei-Jie Yu, Ying Lin, Yue-Jiao Gong, Zhi-Hui Zhan, Wei-Neng Chen, Jun Zhang
2018	J	`jnl`	Learning Multimodal Parameters: A Bare-Bones Niching Differential Evolution Approach. IEEE Trans. Neural Networks Learn. Syst. Yue-Jiao Gong, Jun Zhang, Yicong Zhou
2018	—	`conf`	Multi-Population Ant Colony System for Multiple Path Planning of Food Delivery Applications. SSCI Yi-Bin Cheng, Ting Huang, Huntley Ting Huang, Yue-Jiao Gong, Jun Zhang
2018	—	`conf`	Multimodal optimization of traveling salesman problem: a niching ant colony system. GECCO (Companion) Xin-Chi Han, Hao-Wen Ke, Yue-Jiao Gong, Ying Lin, Wei-Li Liu, Jun Zhang
2018	J	`jnl`	Multiobjective optimization with ϵ-constrained method for solving real-parameter constrained optimization problems. Inf. Sci. Jing-Yu Ji, Wei-Jie Yu, Yue-Jiao Gong, Jun Zhang
2018	—	`conf`	Seeking Multiple Solutions of Combinatorial optimization Problems: A Proof of Principle Study. SSCI Ting Huang, Yue-Jiao Gong, Jun Zhang
2018	C	`conf`	Video Server Deployment Using a Genetic Algorithm with Deterministic Initialization Strategy. ISNN Xin-Yi Hu, Yue-Jiao Gong, Xinyuan Zhang, Yining Ma, Jun Zhang
2017	J	`jnl`	A Multi-Label Learning Method Using Affinity Propagation and Support Vector Machine. IEEE Access Jing-Jing Li, Farrikh Alzami, Yue-Jiao Gong, Zhiwen Yu
2017	B	`conf`	A parallel Ant Colony System based on region decomposition for Taxi-Passenger Matching. CEC Xin Situ, Wei-Neng Chen, Yue-Jiao Gong, Ying Lin, Wei-Jie Yu, Zhiwen Yu, Jun Zhang
2017	—	`conf`	A parallel genetic algorithm with region division strategy to solve taxi-passenger matching problem. SSCI Yi-Wen Liu, Xinyuan Zhang, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang
2017	Misc	`conf`	Adaptive superpixel segmentation aggregating local contour and texture features. ICASSP Xiaolin Xiao, Yue-Jiao Gong, Yicong Zhou
2017	J	`jnl`	An adaptive ant colony optimization algorithm for constructing cognitive diagnosis tests. Appl. Soft Comput. Ying Lin, Yue-Jiao Gong, Jun Zhang
2017	J	`jnl`	Corrigendum to "A splicing-driven memetic algorithm for reconstructing cross-cut shredded text documents" [Applied Soft Computing, 45 (2016), 163-172]. Appl. Soft Comput. Yue-Jiao Gong, Yong-Feng Ge, Jing-Jing Li, Jun Zhang, W. H. Ip
2017	J	`jnl`	Flexible genetic algorithm: A simple and generic approach to node placement problems. Appl. Soft Comput. Yu-Hui Zhang, Yue-Jiao Gong, Tianlong Gu, Yun Li, Jun Zhang
2017	B	`conf`	Link mapping-oriented ant colony system for virtual network embedding. CEC Hong-Kun Zheng, Jing-Jing Li, Yue-Jiao Gong, Wei-Neng Chen, Zhiwen Yu, Zhi-Hui Zhan, Ying Lin
2017	B	`conf`	Overlapped cooperative co-evolution for large scale optimization. SMC An Song, Wei-Neng Chen, Peng-Ting Luo, Yue-Jiao Gong, Jun Zhang
2017	J	`jnl`	SpatialRecruiter: Maximizing Sensing Coverage in Selecting Workers for Spatial Crowdsourcing. IEEE Trans. Veh. Technol. Xinglin Zhang, Zheng Yang, Yue-Jiao Gong, Yunhao Liu, Shaohua Tang
2017	J	`jnl`	Toward Fast Niching Evolutionary Algorithms: A Locality Sensitive Hashing-Based Approach. IEEE Trans. Evol. Comput. Yu-Hui Zhang, Yue-Jiao Gong, Huaxiang Zhang, Tianlong Gu, Jun Zhang
2016	B	`conf`	A hybrid evolutionary algorithm with dual populations for many-objective optimization. CEC Yu-Hui Zhang, Yue-Jiao Gong, Jun Zhang, Ying-Biao Ling
2016	J	`jnl`	A splicing-driven memetic algorithm for reconstructing cross-cut shredded text documents. Appl. Soft Comput. Yue-Jiao Gong, Yong-Feng Ge, Jing-Jing Li, Jun Zhang, W. H. Ip
2016	A	`conf`	A superpixel segmentation algorithm based on differential evolution. ICME Yue-Jiao Gong, Yicong Zhou, Xinglin Zhang
2016	J	`jnl`	Fast Micro-Differential Evolution for Topological Active Net Optimization. IEEE Trans. Cybern. Yuan-Long Li, Zhi-Hui Zhan, Yue-Jiao Gong, Jun Zhang, Yun Li, Qing Li
2016	J	`jnl`	Genetic Learning Particle Swarm Optimization. IEEE Trans. Cybern. Yue-Jiao Gong, Jing-Jing Li, Yicong Zhou, Yun Li, Henry Shu-Hung Chung, Yu-hui Shi, Jun Zhang
2016	J	`jnl`	Kuhn-Munkres Parallel Genetic Algorithm for the Set Cover Problem and Its Application to Large-Scale Wireless Sensor Networks. IEEE Trans. Evol. Comput. Xinyuan Zhang, Jun Zhang, Yue-Jiao Gong, Zhi-Hui Zhan, Wei-Neng Chen, Yun Li
2016	J	`jnl`	Localization for Drifting Restricted Floating Ocean Sensor Networks. IEEE Trans. Veh. Technol. Hanjiang Luo, Kaishun Wu, Yue-Jiao Gong, Lionel M. Ni
2016	J	`jnl`	T-DesP: Destination Prediction Based on Big Trajectory Data. IEEE Trans. Intell. Transp. Syst. Xiang Li, Mengting Li, Yue-Jiao Gong, Xinglin Zhang, Jian Yin
2015	J	`jnl`	An Evolutionary Algorithm with Double-Level Archives for Multiobjective Optimization. IEEE Trans. Cybern. Ni Chen, Wei-Neng Chen, Yue-Jiao Gong, Zhi-Hui Zhan, Jun Zhang, Yun Li, Yusong Tan
2015	J	`jnl`	Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches. ACM Comput. Surv. Zhi-Hui Zhan, Xiao Fang Liu, Yue-Jiao Gong, Jun Zhang, Henry Shu-Hung Chung, Yun Li
2015	B	`conf`	Composite differential evolution with queueing selection for multimodal optimization. CEC Yu-Hui Zhang, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang
2015	—	`conf`	Differential Evolution with Random Walk Mutation and an External Archive for Multimodal Optimization. SSCI Yu-Hui Zhang, Meng-Ting Li, Yue-Jiao Gong, Jun Zhang
2015	J	`jnl`	Differential Evolution with an Evolution Path: A DEEP Evolutionary Algorithm. IEEE Trans. Cybern. Yuan-Long Li, Zhi-Hui Zhan, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang, Yun Li
2015	J	`jnl`	Distributed evolutionary algorithms and their models: A survey of the state-of-the-art. Appl. Soft Comput. Yue-Jiao Gong, Wei-Neng Chen, Zhi-Hui Zhan, Jun Zhang, Yun Li, Qingfu Zhang, Jing-Jing Li
2015	—	`conf`	Particle Swarm Optimization with Minimum Spanning Tree Topology for Multimodal Optimization. SSCI Yu-Hui Zhang, Ying Lin, Yue-Jiao Gong, Jun Zhang
2015	A	`conf`	Reconstructing Cross-Cut Shredded Text Documents: A Genetic Algorithm with Splicing-Driven Reproduction. GECCO Yong-Feng Ge, Yue-Jiao Gong, Wei-Jie Yu, Xiaomin Hu, Jun Zhang
2014	—	`conf`	A generic archive technique for enhancing the niching performance of evolutionary computation. SIS Yu-Hui Zhang, Yue-Jiao Gong, Wei-Neng Chen, Zhi-Hui Zhan, Jun Zhang
2014	—	`conf`	A novel genetic algorithm based on partitioning for large-scale network design problems. GECCO (Companion) Xiao-ma Huang, Yue-Jiao Gong, Jing-Jing Li, Xiaomin Hu
2014	A	`conf`	Automatic path planning for autonomous underwater vehicles based on an adaptive differential evolution. GECCO Chuanbin Zhang, Yue-Jiao Gong, Jing-Jing Li, Ying Lin
2014	J	`jnl`	Bi-Velocity Discrete Particle Swarm Optimization and Its Application to Multicast Routing Problem in Communication Networks. IEEE Trans. Ind. Electron. Meie Shen, Zhi-Hui Zhan, Wei-Neng Chen, Yue-Jiao Gong, Jun Zhang, Yun Li
2014	J	`jnl`	Differential Evolution With Two-Level Parameter Adaptation. IEEE Trans. Cybern. Wei-Jie Yu, Meie Shen, Wei-Neng Chen, Zhi-Hui Zhan, Yue-Jiao Gong, Ying Lin, Ou Liu, Jun Zhang
2014	—	`conf`	Evolutionary computation for lifetime maximization of wireless sensor networks in complex 3D environments. GECCO (Companion) Xinyuan Zhang, Yue-Jiao Gong, Jing-Jing Li, Ying Lin
2014	B	`conf`	From the social learning theory to a social learning algorithm for global optimization. SMC Yue-Jiao Gong, Jun Zhang, Yun Li
2014	—	`conf`	Load Balance Aware Genetic Algorithm for Task Scheduling in Cloud Computing. SEAL Zhi-Hui Zhan, Ge-Yi Zhang, Ying Lin, Yue-Jiao Gong, Jun Zhang
2014	—	`conf`	Multi-swarm particle swarm optimization with multiple learning strategies. GECCO (Companion) Mengqi Peng, Yue-Jiao Gong, Jing-Jing Li, Ying-Biao Lin
2014	Misc	`conf`	Pseudo multi-population differential evolution for multimodal optimization. ICNC Hao-Feng Li, Yue-Jiao Gong, Zhi-Hui Zhan, Wei-Neng Chen, Jun Zhang
2014	J	`jnl`	Real-Time Traffic Signal Control for Modern Roundabouts by Using Particle Swarm Optimization-Based Fuzzy Controller. CoRR Yue-Jiao Gong, Jun Zhang
2014	—	`conf`	Real-Time Traffic Signal Control with Dynamic Evolutionary Computation. IIAI-AAI Zeng Kai, Yue-Jiao Gong, Jun Zhang
2013	B	`conf`	A Set-Based Discrete Differential Evolution Algorithm. SMC Yu Liu, Wei-Neng Chen, Zhi-Hui Zhan, Ying Lin, Yue-Jiao Gong, Jun Zhang
2013	—	`conf`	A novel pheromone-based evolutionary algorithm for solving degree-constrained minimum spanning tree problem. GECCO (Companion) Xiao-ma Huang, Yue-Jiao Gong, Jun Zhang
2013	—	`conf`	A set-based locally informed discrete particle swarm optimization. GECCO (Companion) Yun-yang Ma, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang
2013	—	`conf`	Multiobjective genetic algorithm for demand side management of smart grid. CISched Xiaomin Hu, Zhi-Hui Zhan, Ying Lin, Yue-Jiao Gong, Wei-Jie Yu, Yao-Xiu Hu, Jun Zhang
2013	—	`conf`	Parameter investigation in brain storm optimization. SIS Zhi-Hui Zhan, Wei-Neng Chen, Ying Lin, Yue-Jiao Gong, Yuan-Long Li, Jun Zhang
2013	A	`conf`	Small-world particle swarm optimization with topology adaptation. GECCO Yue-Jiao Gong, Jun Zhang
2012	J	`jnl`	An Efficient Resource Allocation Scheme Using Particle Swarm Optimization. IEEE Trans. Evol. Comput. Yue-Jiao Gong, Jun Zhang, Henry Shu-Hung Chung, Wei-Neng Chen, Zhi-Hui Zhan, Yun Li, Yu-hui Shi
2012	J	`jnl`	Optimizing RFID Network Planning by Using a Particle Swarm Optimization Algorithm With Redundant Reader Elimination. IEEE Trans. Ind. Informatics Yue-Jiao Gong, Meie Shen, Jun Zhang, Okyay Kaynak, Wei-Neng Chen, Zhi-Hui Zhan
2012	J	`jnl`	Optimizing the Vehicle Routing Problem With Time Windows: A Discrete Particle Swarm Optimization Approach. IEEE Trans. Syst. Man Cybern. Part C Yue-Jiao Gong, Jun Zhang, Ou Liu, Rui-zhang Huang, Henry Shu-Hung Chung, Yu-hui Shi
2012	B	`conf`	Real-time traffic signal control for roundabouts by using a PSO-based fuzzy controller. IEEE Congress on Evolutionary Computation Yue-Jiao Gong, Jun Zhang
2011	B	`conf`	A novel fuzzy model for the traffic signal control of modern roundabouts. SMC Yue-Jiao Gong, Jun Zhang, Ou Liu, Yi Li
2011	J	`jnl`	Evolutionary Computation Meets Machine Learning: A Survey. IEEE Comput. Intell. Mag. Jun Zhang, Zhi-Hui Zhan, Ying Lin, Ni Chen, Yue-Jiao Gong, Jing-Hui Zhong, Henry Shu-Hung Chung, Yun Li, Yu-hui Shi
2010	B	`conf`	A linear map-based mutation scheme for real coded genetic algorithms. IEEE Congress on Evolutionary Computation Yue-Jiao Gong, Xiaomin Hu, Jun Zhang, Ou Liu, Hai-Lin
2010	B	`conf`	A multi-objective comprehensive learning particle swarm optimization with a binary search-based representation scheme for bed allocation problem in general hospital. SMC Yue-Jiao Gong, Jun Zhang, Zhun Fan
2009	B	`conf`	A Clustering-based Adaptive Parameter Control Method for Continuous Ant Colony Optimization. SMC Yue-Jiao Gong, Rui-tian Xu, Jun Zhang, Ou Liu
2009	A	`conf`	Ant colony system based on receding horizon control for aircraft arrival sequencing and scheduling. GECCO Zhi-Hui Zhan, Jun Zhang, Yue-Jiao Gong
2009	B	`conf`	Solving the flight frequency programming problem with particle swarm optimization. IEEE Congress on Evolutionary Computation Zhi-Hui Zhan, Xin-ling Feng, Yue-Jiao Gong, Jun Zhang