Video Server Deployment Using a Genetic Algorithm with Deterministic Initialization Strategy. - Xin-Yi Hu; Yue-Jiao Gong; Xin-yuan Zhang; Yining Ma 001; Jun Zhang 003 (ISNN, 2018)

Path Planning for Autonomous Underwater Vehicles: An Ant Colony Algorithm Incorporating Alarm Pheromone. - Yining Ma 001; Yue-Jiao Gong; Chu-Feng Xiao 001; Ying Gao 004; Jun Zhang 003 (IEEE Trans. Veh. Technol., 2019)

Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee. - Flint Xiaofeng Fan; Yining Ma 001; Zhongxiang Dai; Wei Jing; Cheston Tan; Bryan Kian Hsiang Low (NeurIPS, 2021)

Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer. - Yining Ma 001; Jingwen Li; Zhiguang Cao; Wen Song; Le Zhang 001; Zhenghua Chen; Jing Tang 004 (NeurIPS, 2021)

Efficient Neural Neighborhood Search for Pickup and Delivery Problems. - Yining Ma 001; Jingwen Li; Zhiguang Cao; Wen Song; Hongliang Guo; Yuejiao Gong; Yeow Meng Chee (IJCAI, 2022)

Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation. - Jieyi Bi; Yining Ma 001; Jiahai Wang; Zhiguang Cao; Jinbiao Chen; Yuan Sun 003; Yeow Meng Chee (NeurIPS, 2022)

Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. - Jingwen Li; Yining Ma 001; Ruize Gao; Zhiguang Cao; Andrew Lim 001; Wen Song; Jie Zhang 002 (IEEE Trans. Cybern., 2022)

FedHQL: Federated Heterogeneous Q-Learning. - Flint Xiaofeng Fan; Yining Ma 001; Zhongxiang Dai; Cheston Tan; Bryan Kian Hsiang Low (AAMAS, 2023)

Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt. - Yining Ma 001; Zhiguang Cao; Yeow Meng Chee (NeurIPS, 2023)

Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. - Jinbiao Chen; Zizhen Zhang; Zhiguang Cao; Yaoxin Wu; Yining Ma 001; Te Ye; Jiahai Wang (NeurIPS, 2023)

MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning. - Zeyuan Ma; Hongshu Guo; Jiacheng Chen; Zhenrui Li; Guojun Peng; Yue-Jiao Gong; Yining Ma 001; Zhiguang Cao (NeurIPS, 2023)

FedHQL: Federated Heterogeneous Q-Learning. - Flint Xiaofeng Fan; Yining Ma 001; Zhongxiang Dai; Cheston Tan; Bryan Kian Hsiang Low; Roger Wattenhofer (CoRR, 2023)

MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous Underwater Vehicles. - Yue-Jiao Gong; Ting Huang 001; Yining Ma 001; Sang-Woon Jeon; Jun Zhang 003 (IEEE Trans. Intell. Transp. Syst., 2023)

Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. - Zeyuan Ma; Jiacheng Chen; Hongshu Guo; Yining Ma 001; Yue-Jiao Gong (GECCO, 2024)

SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. - Jiacheng Chen; Zeyuan Ma; Hongshu Guo; Yining Ma 001; Jie Zhang; Yue-Jiao Gong (ICLR, 2024)

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. - Jianan Zhou 002; Zhiguang Cao; Yaoxin Wu; Wen Song; Yining Ma 001; Jie Zhang 002; Chi Xu (ICML, 2024)

Disentangled Multi-interest Representation Learning for Sequential Recommendation. - Yingpeng Du; Ziyan Wang; Zhu Sun 001; Yining Ma 001; Hongzhi Liu 001; Jie Zhang 002 (KDD, 2024)

Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. - Yong Liang Goh; Zhiguang Cao; Yining Ma 001; Yanfei Dong; Mohammed Haroon Dupty; Wee Sun Lee (KDD, 2024)

Learning to Handle Complex Constraints for Vehicle Routing Problems. - Jieyi Bi; Yining Ma 001; Jianan Zhou 002; Wen Song; Zhiguang Cao; Yaoxin Wu; Jie Zhang 002 (NeurIPS, 2024)

Large Language Model with Graph Convolution for Recommendation. - Yingpeng Du; Ziyan Wang; Zhu Sun 001; Haoyan Chua; Hongzhi Liu 001; Zhonghai Wu; Yining Ma 001; Jie Zhang 002; Youchen Sun (CoRR, 2024)

LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation. - Zeyuan Ma; Hongshu Guo; Jiacheng Chen; Guojun Peng; Zhiguang Cao; Yining Ma 001; Yue-Jiao Gong (CoRR, 2024)

Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. - Hongshu Guo; Yining Ma 001; Zeyuan Ma; Jiacheng Chen; Xinglin Zhang; Zhiguang Cao; Jun Zhang 003; Yue-Jiao Gong (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Learning Feature Embedding Refiner for Solving Vehicle Routing Problems. - Jingwen Li; Yining Ma 001; Zhiguang Cao; Yaoxin Wu; Wen Song; Jie Zhang 002; Yeow Meng Chee (IEEE Trans. Neural Networks Learn. Syst., 2024)

Efficient Neural Collaborative Search for Pickup and Delivery Problems. - Detian Kong; Yining Ma 001; Zhiguang Cao; Tianshu Yu 001; Jianhua Xiao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning. - Hongshu Guo; Zeyuan Ma; Jiacheng Chen; Yining Ma 001; Zhiguang Cao; Xinglin Zhang; Yue-Jiao Gong (AAAI, 2025)

Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning. - Qi Li; Zhiguang Cao; Yining Ma 001; Yaoxin Wu; Yue-Jiao Gong (KDD (1), 2025)

Decision-Making With Speculative Opponent Models. - Jing Sun; Shuo Chen 006; Cong Zhang; Yining Ma 001; Jie Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization. - Zeyuan Ma; Yue-Jiao Gong; Hongshu Guo; Wenjie Qiu 007; Sijie Ma; Hongqiao Lian; Jiajun Zhan; Kaixu Chen; Chen Wang; Zhiyang Huang; Zechuan Huang; Guojun Peng; et al. (CoRR, 2025)

DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization. - Hongshu Guo; Zeyuan Ma; Yining Ma 001; Xinglin Zhang; Wei-Neng Chen; Yue-Jiao Gong (CoRR, 2025)

SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy. - Yong Liang Goh; Zhiguang Cao; Yining Ma 001; Jianan Zhou 002; Mohammed Haroon Dupty; Wee Sun Lee (CoRR, 2025)