Robust scheduling method based on workflow simulation model and biological immune principle. - Xingquan Zuo (GECCO, 2007)

A robust scheduling method based on a multi-objective immune algorithm. - Xingquan Zuo; Hongwei Mo; Jianping Wu (Inf. Sci., 2009)

An urban traffic speed fusion method based on principle component analysis and neural network. - Chenye Qiu; Xingquan Zuo; Chunlu Wang; Jianping Wu; Tianle Zhang (IJCNN, 2010)

A Bayesian regularized neural network approach to short-term traffic speed prediction. - Chenye Qiu; Chunlu Wang; Xingquan Zuo; Binxing Fang (SMC, 2011)

A PSO- Based Robust Optimization Approach for Supply Chain Collaboration with Demand Uncertain. - Yutian Jia; Xingquan Zuo; Jianping Wu (ICSI (1), 2011)

A cultural clonal selection algorithm based fast vehicle scheduling approach. - Xinguo Shui; Xingquan Zuo; Cheng Chen (IEEE Congress on Evolutionary Computation, 2012)

Multi-DEPSO: A DE and PSO based hybrid algorithm in dynamic environments. - Li Xiao; Xingquan Zuo (IEEE Congress on Evolutionary Computation, 2012)

Deadline Constrained Task Scheduling Based on Standard-PSO in a Hybrid Cloud. - Guoxiang Zhang; Xingquan Zuo (ICSI (1), 2013)

A novel multi-objective particle swarm optimization with K-means based global best selection strategy. - Chenye Qiu; Chunlu Wang; Xingquan Zuo (Int. J. Comput. Intell. Syst., 2013)

Solving dynamic double-row layout problem via an improved simulated annealing algorithm. - Shengli Wang; Xingquan Zuo; Xinchao Zhao (IEEE Congress on Evolutionary Computation, 2014)

A tabu search heuristic for the single row layout problem with shared clearances. - Meng Yu; Xingquan Zuo; Chase C. Murray (IEEE Congress on Evolutionary Computation, 2014)

A Very Fast Convergent Evolutionary Algorithm for Satisfactory Solutions. - Xinchao Zhao; Xingquan Zuo (ICSI (1), 2014)

A Multiobjective Particle Swarm Optimization-Based Partial Classification for Accident Severity Analysis. - Chenye Qiu; Chunlu Wang; Binxing Fang; Xingquan Zuo (Appl. Artif. Intell., 2014)

An Accident Severity Classification Model Based on Multi-Objective Particle Swarm Optimization. - Chunlu Wang; Chenye Qiu; Xingquan Zuo; Chuanyi Liu (IEICE Trans. Inf. Syst., 2014)

A DE and PSO based hybrid algorithm for dynamic optimization problems. - Xingquan Zuo; Li Xiao (Soft Comput., 2014)

Solving an Extended Double Row Layout Problem Using Multiobjective Tabu Search and Linear Programming. - Xingquan Zuo; Chase C. Murray; Alice E. Smith (IEEE Trans Autom. Sci. Eng., 2014)

Cigarette Production Scheduling by Combining Workflow Model and Immune Algorithm. - Xingquan Zuo; Wei Tan 001; Huiping Lin (IEEE Trans Autom. Sci. Eng., 2014)

Self-Adaptive Learning PSO-Based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud. - Xingquan Zuo; Guoxiang Zhang; Wei Tan 001 (IEEE Trans Autom. Sci. Eng., 2014)

A MOEA/D based approach for solving robust double row layout problem. - Lingling Tang; Xingquan Zuo; Chunlu Wang; Xinchao Zhao (CEC, 2015)

A clonal selection algorithm for urban bus vehicle scheduling. - Xinguo Shui; Xingquan Zuo; Cheng Chen; Alice E. Smith (Appl. Soft Comput., 2015)

Solving dynamic double row layout problem via combining simulated annealing and mathematical programming. - Shengli Wang; Xingquan Zuo; Xueqing Liu; Xinchao Zhao; Jianqiang Li 002 (Appl. Soft Comput., 2015)

Supply Chain Inventory Coordination under Uncertain Demand via Combining Monte Carlo Simulation and Fitness Inheritance PSO. - Heting Cao; Xingquan Zuo (Int. J. Swarm Intell. Res., 2015)

Vehicle Scheduling of an Urban Bus Line via an Improved Multiobjective Genetic Algorithm. - Xingquan Zuo; Cheng Chen; Wei Tan 001; MengChu Zhou (IEEE Trans. Intell. Transp. Syst., 2015)

Differential Evolution Algorithm with the Second Order Difference Vector. - Xinchao Zhao; Dongyue Liu; Xingquan Zuo; Huiping Liu; Rui Li 043 (BIC-TA (2), 2016)

A MOEA/D based approach for hospital department layout design. - Yanmei Ma; Xingquan Zuo; Xuewen Huang; Fulai Gu; Chunlu Wang; Xinchao Zhao (CEC, 2016)

New modified bare-bones particle swarm optimization. - Xinchao Zhao; Huiping Liu; Dongyue Liu; Wenbao Ai; Xingquan Zuo (CEC, 2016)

Predicting Virtual Machine's Power via a RBF Neural Network. - Hao Xu; Xingquan Zuo; Chuanyi Liu; Xinchao Zhao (ICSI (2), 2016)

Clustering and pattern search for enhancing particle swarm optimization with Euclidean spatial neighborhood search. - Xinchao Zhao; Wenqiao Lin; Junling Hao; Xingquan Zuo; Jianhua Yuan (Neurocomputing, 2016)

A Recommendation Approach Based on Latent Factors Prediction of Recurrent Neural Network. - Ruihong Li; Xingquan Zuo; Pan Wang; Xinchao Zhao (BIC-TA, 2017)

Conservatism and Adventurism in Particle Swarm Optimization Algorithm. - Guangzhi Xu; Rui Li 043; Xinchao Zhao; Xingquan Zuo (SEAL, 2017)

A multiobjective genetic algorithm based hybrid recommendation approach. - Pan Wang; Xingquan Zuo; Congcong Guo; Ruihong Li; Xinchao Zhao; Chaomin Luo (SSCI, 2017)

Elite-Leading Fireworks Algorithm. - Xinchao Zhao; Rui Li 043; Xingquan Zuo; Ying Tan 002 (ICSI (1), 2017)

Second-order DE algorithm. - Xinchao Zhao; Guangzhi Xu; Dongyue Liu; Xingquan Zuo (CAAI Trans. Intell. Technol., 2017)

Two-layer simulated annealing and tabu search heuristics for a vehicle routing problem with cross docks and split deliveries. - Junling Wang; Arun Kumar Ranganathan Jagannathan; Xingquan Zuo; Chase C. Murray (Comput. Ind. Eng., 2017)

Semi-self-adaptive harmony search algorithm. - Xinchao Zhao; Zhaohua Liu; Junling Hao; Rui Li 043; Xingquan Zuo (Nat. Comput., 2017)

Barebones Particle Swarm Optimization with a Neighborhood Search Strategy for Feature Selection. - Chenye Qiu; Xingquan Zuo (BIC-TA (2), 2018)

A Multiobjective Genetic Algorithm Based Dynamic Bus Vehicle Scheduling Approach. - Hongyi Shi; Chunlu Wang; Xingquan Zuo; Xinchao Zhao (BIC-TA (2), 2018)

A Decomposition Based Multiobjective Evolutionary Algorithm for Dynamic Overlapping Community Detection. - Xing Wan; Xingquan Zuo; Feng Song (BIC-TA (2), 2018)

Hybridizing tabu search with mathematical programming for solving a single row layout problem. - Meng Yu; Xingquan Zuo; Xinchao Zhao; Chunlu Wang (CASE, 2018)

Inner Product Based Particle Swarm Optimization. - Xinchao Zhao; Jia Liu; Jiaqi Chen; Min Chen; Sai Guo; Xingquan Zuo (ICNC-FSKD, 2018)

An Ant Colony Optimization based Approach to Adjust Public Transportation Network. - Wei Hu; Chunlu Wang; Xingquan Zuo (CEC, 2019)

A memetic algorithm to optimize bus timetable with unequal time intervals. - Pengfei Gao; Xingquan Zuo; Qiang Bian; Xinchao Zhao (GECCO (Companion), 2019)

A genetic algorithm based column generation method for multi-depot electric bus vehicle scheduling. - Congcong Guo; Chunlu Wang; Xingquan Zuo (GECCO (Companion), 2019)

Second Order Differential Evolution for Constrained Optimization. - Xinchao Zhao; Jia Liu; Junling Hao; Jiaqi Chen; Xingquan Zuo (ICSI (1), 2019)

Guest Editorial: Advances in Bio-inspired Heuristics for Computing. - Xinchao Zhao; Maoguo Gong; Xingquan Zuo; Linqiang Pan (CAAI Trans. Intell. Technol., 2019)

Advances on QoS-aware web service selection and composition with nature-inspired computing. - Xinchao Zhao; Rui Li 043; Xingquan Zuo (CAAI Trans. Intell. Technol., 2019)

A Three-Stage Approach to a Multirow Parallel Machine Layout Problem. - Xingquan Zuo; Shubing Gao; MengChu Zhou; Xin Yang 016; Xinchao Zhao (IEEE Trans Autom. Sci. Eng., 2019)

Optimizing Hospital Emergency Department Layout via Multiobjective Tabu Search. - Xingquan Zuo; Bin Li; Xuewen Huang; MengChu Zhou; Chunyang Cheng; Xinchao Zhao; Zhishuo Liu (IEEE Trans Autom. Sci. Eng., 2019)

Guest editorial on S.I.: Bio-inspired computing: theories and application. - Xinchao Zhao; Maoguo Gong; Xingquan Zuo; Linqiang Pan (Evol. Intell., 2020)

Solving dynamic overlapping community detection problem by a multiobjective evolutionary algorithm based on decomposition. - Xing Wan; Xingquan Zuo; Feng Song (Swarm Evol. Comput., 2020)

A multi-objective genetic algorithm based approach for dynamical bus vehicles scheduling under traffic congestion. - Chunlu Wang; Hongyi Shi; Xingquan Zuo (Swarm Evol. Comput., 2020)

Base Station Network Traffic Prediction Approach Based on LMA -DeepAR. - Jiachen Zhang; Xingquan Zuo; Mingying Xu; Jing Han; Baisheng Zhang (ICCCS, 2021)

Solving multi-depot electric vehicle scheduling problem by column generation and genetic algorithm. - Chunlu Wang; Congcong Guo; Xingquan Zuo (Appl. Soft Comput., 2021)

An Effective Cloud Workflow Scheduling Approach Combining PSO and Idle Time Slot-Aware Rules. - Yun Wang; Xingquan Zuo (IEEE CAA J. Autom. Sinica, 2021)

Memetic algorithm with non-smooth penalty for capacitated arc routing problem. - Rui Li 043; Xinchao Zhao; Xingquan Zuo; Jianmei Yuan; Xin Yao (Knowl. Based Syst., 2021)

Neighborhood opposition-based differential evolution with Gaussian perturbation. - Xinchao Zhao; Shuai Feng; Junling Hao; Xingquan Zuo; Yong Zhang 016 (Soft Comput., 2021)

MOEA/D With Linear Programming for Double Row Layout Problem With Center-Islands. - Xingquan Zuo; Xueqing Liu; Qingfu Zhang 001; Weiping Li; Xing Wan; Xinchao Zhao (IEEE Trans. Cybern., 2021)

Fine-Grained Service-Level Passenger Flow Prediction for Bus Transit Systems Based on Multitask Deep Learning. - Dan Luo; Dong Zhao 001; Qixue Ke; Xiaoyong You; Liang Liu 001; Desheng Zhang; Huadong Ma; Xingquan Zuo (IEEE Trans. Intell. Transp. Syst., 2021)

Dynamic Bus Holding Control Using Spatial-Temporal Data - A Deep Reinforcement Learning Approach. - Yuguang Zhao; Gang Chen 002; Hui Ma 001; Xingquan Zuo; Guanqun Ai (AI, 2022)

Saliency Map-Based Local White-Box Adversarial Attack Against Deep Neural Networks. - Haohan Liu; Xingquan Zuo; Hai Huang; Xing Wan (CICAI (2), 2022)

A Two-Stage Approach With a Departure Time Based Solution Representation for Electric Bus Vehicle Scheduling. - Yahong Liu; Chunyang Cheng; Hongyi Shi; Xingquan Zuo; Shaohua Chen (IEEE Access, 2022)

Deep Reinforcement Learning based dynamic optimization of bus timetable. - Guanqun Ai; Xingquan Zuo; Gang Chen 002; Binglin Wu (Appl. Soft Comput., 2022)

A differential evolution algorithm combined with linear programming for solving a closed loop facility layout problem. - Xing Wan; Xingquan Zuo; Xinchao Zhao (Appl. Soft Comput., 2022)

A hybrid multiobjective GRASP for a multi-row facility layout problem with extra clearances. - Xing Wan; Xingquan Zuo; Xiaodong Li 001; Xinchao Zhao (Int. J. Prod. Res., 2022)

Variable neighborhood search based multiobjective ACO-list scheduling for cloud workflows. - Yun Wang; Xingquan Zuo; Zhiqiang Wu; Hui Wang; Xinchao Zhao (J. Supercomput., 2022)

A Local Interpretability Model-Based Approach for Black-Box Adversarial Attack. - Yuanjie Duan; Xingquan Zuo; Hai Huang; Binglin Wu; Xinchao Zhao (DMBD (2), 2023)

A construction-and-repair based method for vehicle scheduling of bus line with branch lines. - Yahong Liu; Xingquan Zuo; Guanqun Ai; Xinchao Zhao (Comput. Ind. Eng., 2023)

A reinforcement learning-based approach for online bus scheduling. - Yingzhuo Liu; Xingquan Zuo; Guanqun Ai; Yahong Liu (Knowl. Based Syst., 2023)

Electric Vehicle Routing Problem With Variable Vehicle Speed and Soft Time Windows for Perishable Product Delivery. - Zhishuo Liu; Xingquan Zuo; Mengchu Zhou; Wei Guan; Yusuf Al-Turki 001 (IEEE Trans. Intell. Transp. Syst., 2023)

A Novel Evolutionary Neural Network-based Approach for Online Bus Scheduling. - Wenyang Tian; Feiyang Wang; Xingquan Zuo (ICNSC, 2024)

Random Mask Perturbation Based Explainable Method of Graph Neural Networks. - Xinyue Yang; Hai Huang; Xingquan Zuo (PAKDD (3), 2024)

Multi-agent deep reinforcement learning based real-time planning approach for responsive customized bus routes. - Binglin Wu; Xingquan Zuo; Gang Chen 002; Guanqun Ai; Xing Wan (Comput. Ind. Eng., 2024)

ADBA:Approximation Decision Boundary Approach for Black-Box Adversarial Attacks. - Feiyang Wang; Xingquan Zuo; Hai Huang; Gang Chen (CoRR, 2024)

A bidirectional workflow scheduling approach with feedback mechanism in clouds. - Mingjie Fan; Lingjuan Ye; Xingquan Zuo; Xinchao Zhao (Expert Syst. Appl., 2024)

Heterogeneous Electric Vehicle Routing Problem with Multiple Compartments and Multiple Trips for the Collection of Classified Waste. - Zhishuo Liu; Lujing Sun; Xingquan Zuo; Haoxiang Li (Int. J. Crowd Sci., 2024)

Request Dispatching Over Distributed SDN Control Plane: A Multiagent Approach. - Victoria Huang 001; Gang Chen 002; Xingquan Zuo; Albert Y. Zomaya; Nasrin Sohrabi; Zahir Tari; Qiang Fu 011 (IEEE Trans. Cybern., 2024)

Millisecond-Scale Real-Time Scheduling of Buses: A Controller-Based Approach. - Feiyang Wang; Xingquan Zuo; Binglin Wu; Mengchu Zhou; Xing Wan; Yahong Liu; Xinchao Zhao (IEEE Trans. Intell. Transp. Syst., 2024)

A Multi-Objective Ant Colony System-Based Approach to Transit Route Network Adjustment. - Binglin Wu; Xingquan Zuo; Mengchu Zhou; Xing Wan; Xinchao Zhao; Senyan Yang (IEEE Trans. Intell. Transp. Syst., 2024)

Inventory Routing Problem With Split Delivery and Variable Time Windows for Customers With Small Capacity and Large Sales. - Zhishuo Liu; Xingquan Zuo (IEEE Trans. Intell. Transp. Syst., 2024)

ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks. - Feiyang Wang; Xingquan Zuo; Hai Huang; Gang Chen (AAAI, 2025)

Multi-granularity Policy Explanation of Deep Reinforcement Learning Based on Saliency Map Clustering. - Yujiao Wang; Hai Huang; Xingquan Zuo (PAKDD (6), 2025)

RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features. - Jialei Song; Xingquan Zuo; Feiyang Wang; Hai Huang; Tianle Zhang (UAI, 2025)

Adaptive large neighborhood search incorporating mixed-integer linear programming for electric vehicle routing problem with mobile charging and nonlinear battery degradation. - Senyan Yang; Ruiyan Zhang; Ying Ma; Xingquan Zuo (Appl. Soft Comput., 2025)

Fuzzy clustering-based large-scale multimodal multi-objective differential evolution algorithm. - Lingyu Wu; Xinchao Zhao; Lingjuan Ye; Zenglin Qiao; Xingquan Zuo (Swarm Evol. Comput., 2025)

A Budget-Constrained Workflow Scheduling Approach With Priority Adjustment and Critical Task Optimizing in Clouds. - Mingjie Fan; Xinchao Zhao; Xingquan Zuo; Lingjuan Ye (IEEE Trans Autom. Sci. Eng., 2025)

Meal Delivery Routing Problem With a Hybrid Fleet of Riders and Autonomous Vehicles Under Dynamic Environment. - Zhishuo Liu; Xingquan Zuo; MengChu Zhou; Bin Jia; Chongyang Xin (IEEE Trans Autom. Sci. Eng., 2025)

Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning. - Zeyu Jiang; Hai Huang; Xingquan Zuo (CoRR, 2025)

Boosting Graph Robustness Against Backdoor Attacks: An Over-Similarity Perspective. - Chang Liu; Hai Huang; Yujie Xing; Xingquan Zuo (CoRR, 2025)

Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective. - Chang Liu; Hai Huang; Yujie Xing; Xingquan Zuo (CoRR, 2025)

RDI: An adversarial robustness evaluation metric for deep neural networks based on sample clustering features. - Jialei Song; Xingquan Zuo; Feiyang Wang; Hai Huang; Tianle Zhang (CoRR, 2025)

Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion. - Anjali de Silva; Gang Chen 002; Hui Ma 001; Seyed Mohammad Nekooei; Xingquan Zuo (CoRR, 2025)

Integrated Optimization of Order Processing and Robot Scheduling in Parts-to-Picker System. - Zhishuo Liu; Fang Tian; Xingquan Zuo; Simeng Lin (IEEE Trans. Intell. Transp. Syst., 2025)

XRL-TO: An explainable reinforcement learning-based approach for bus timetable dynamic optimization. - Guanqun Ai; Xingquan Zuo; Gang Chen 002; Mengchu Zhou; Binglin Wu; Xinchao Zhao (Expert Syst. Appl., 2026)

Learning to determine task priority for budget-constrained workflow scheduling in cloud. - Mingjie Fan; Mingzhang Han; Xinchao Zhao; Lingjuan Ye; Xingquan Zuo; Junfeng Chen (Future Gener. Comput. Syst., 2026)