Jiahai Wang
Orcid: 0000-0002-4129-512X
According to our database1,
Jiahai Wang
authored at least 164 papers
between 2003 and 2024.
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Bibliography
2024
Incremental feature selection for dynamic incomplete data using sub-tolerance relations.
Pattern Recognit., April, 2024
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems.
CoRR, 2024
2023
J. Intell. Manuf., December, 2023
Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems.
IEEE Trans. Neural Networks Learn. Syst., October, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Soft Comput., June, 2023
IEEE Trans. Neural Networks Learn. Syst., April, 2023
IEEE Trans. Neural Networks Learn. Syst., April, 2023
Balancing Constraints and Objectives by Considering Problem Types in Constrained Multiobjective Optimization.
IEEE Trans. Cybern., 2023
Information-Theory-based Nondominated Sorting Ant Colony Optimization for Multiobjective Feature Selection in Classification.
IEEE Trans. Cybern., 2023
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning.
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Multi-Agent Meta-Reinforcement Learning with Coordination and Reward Shaping for Traffic Signal Control.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Diversity-Enhanced Recommendation with Knowledge-Aware Devoted and Diverse Interest Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Cooperative Multiobjective Evolutionary Algorithm With Propulsive Population for Constrained Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Synthesis of Bis(N, N-diethyl)aniline-Based, Nonlinear, Optical Chromophores with Increased Electro-Optic Activity by Optimizing the Thiolated Isophorone Bridge.
Symmetry, 2022
Scale-free network-based differential evolution to solve function optimization and parameter estimation of photovoltaic models.
Swarm Evol. Comput., 2022
J. Comb. Optim., 2022
Comput. Ind. Eng., 2022
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Weight-Specific-Decoder Attention Model to Solve Multiobjective Combinatorial Optimization Problems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Deep Reinforcement Learning with Two-Stage Training Strategy for Practical Electric Vehicle Routing Problem with Time Windows.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Edge-based Formulation with Graph Attention Network for Practical Vehicle Routing Problem with Time Windows.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Graph Neural Networks with Dynamic and Static Representations for Social Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Multiobjective Multiple Neighborhood Search Algorithms for Multiobjective Fleet Size and Mix Location-Routing Problem With Time Windows.
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Planning of Garbage Collection Service: An Arc-Routing Problem With Time-Dependent Penalty Cost.
IEEE Trans. Intell. Transp. Syst., 2021
Neural Networks, 2021
Anti-synchronization of delayed memristive neural networks with leakage term and reaction-diffusion terms.
Knowl. Based Syst., 2021
An Adaptive Multi-Objective Evolutionary Algorithm with Two-Stage Local Search for Flexible Job-Shop Scheduling.
Int. J. Comput. Intell. Syst., 2021
IEEE Intell. Syst., 2021
Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems.
CoRR, 2021
Ein hybrides RNN-Modell für die mittel- bis langfristige Vorhersage des Strombedarfs unter Berücksichtigung von Wettereinflüssen.
Autom., 2021
Solving Time-Dependent Traveling Salesman Problem with Time Windows with Deep Reinforcement Learning.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
Multi-agent Deep Reinforcement Learning with Spatio-Temporal Feature Fusion for Traffic Signal Control.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2021
A Cooperative Framework with Generative Adversarial Networks and Entropic Auto-Encoders for Text Generation.
Proceedings of the International Joint Conference on Neural Networks, 2021
A Semi-supervised Framework with Efficient Feature Extraction and Network Alignment for User Identity Linkage.
Proceedings of the Database Systems for Advanced Applications, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
A Hybrid Multiobjective Memetic Algorithm for Multiobjective Periodic Vehicle Routing Problem With Time Windows.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Cooperative Evolutionary Framework With Focused Search for Many-Objective Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., 2020
A Graph-Based Fuzzy Evolutionary Algorithm for Solving Two-Echelon Vehicle Routing Problems.
IEEE Trans. Evol. Comput., 2020
IEEE Trans. Cybern., 2020
IEEE Trans Autom. Sci. Eng., 2020
Solving multitrip pickup and delivery problem with time windows and manpower planning using multiobjective algorithms.
IEEE CAA J. Autom. Sinica, 2020
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts.
CoRR, 2020
Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference.
CoRR, 2020
The Research of Flexible Scheduling of Workshop Based on Artificial Fish Swarm Algorithm and Knowledge Mining.
Proceedings of the Advances in Swarm Intelligence - 11th International Conference, 2020
Multi-objective Dynamic Scheduling Model of Flexible Job Shop Based on NSGAII Algorithm and Scroll Window Technology.
Proceedings of the Advances in Swarm Intelligence - 11th International Conference, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Template-Enhanced Aspect Term Extraction with Bi-Contextual Convolutional Neural Networks.
Proceedings of the Neural Computing for Advanced Applications, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
CatGAN: Category-Aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2019
A Scalar Projection and Angle-Based Evolutionary Algorithm for Many-Objective Optimization Problems.
IEEE Trans. Cybern., 2019
A Two-Stage Multiobjective Evolutionary Algorithm for Multiobjective Multidepot Vehicle Routing Problem With Time Windows.
IEEE Trans. Cybern., 2019
Cooperative Differential Evolution Framework for Constrained Multiobjective Optimization.
IEEE Trans. Cybern., 2019
IEEE Intell. Syst., 2019
GMMA: GPU-based multiobjective memetic algorithms for vehicle routing problem with route balancing.
Appl. Intell., 2019
Proceedings of the Natural Language Processing and Chinese Computing, 2019
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization.
Proceedings of the Artificial Intelligence Algorithms and Applications, 2019
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems.
Proceedings of the Artificial Intelligence Algorithms and Applications, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019
2018
IEEE Trans Autom. Sci. Eng., 2018
A historical solutions based evolution operator for decomposition-based many-objective optimization.
Swarm Evol. Comput., 2018
A multi-objective tabu search algorithm based on decomposition for multi-objective unconstrained binary quadratic programming problem.
Knowl. Based Syst., 2018
Frontiers Comput. Sci., 2018
2017
Soft Comput., 2017
Understanding differential evolution: A Poisson law derived from population interaction network.
J. Comput. Sci., 2017
IEICE Trans. Inf. Syst., 2017
Appl. Soft Comput., 2017
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
2016
Cooperative Differential Evolution With Multiple Populations for Multiobjective Optimization.
IEEE Trans. Cybern., 2016
Multiobjective Vehicle Routing Problems With Simultaneous Delivery and Pickup and Time Windows: Formulation, Instances, and Algorithms.
IEEE Trans. Cybern., 2016
Soft Comput., 2016
Knowl. Based Syst., 2016
Appl. Soft Comput., 2016
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016
2015
Multiobjective evolutionary algorithm for frequency assignment problem in satellite communications.
Soft Comput., 2015
A Local Search-Based Multiobjective Optimization Algorithm for Multiobjective Vehicle Routing Problem With Time Windows.
IEEE Syst. J., 2015
Multiobjective optimization algorithm with objective-wise learning for continuous multiobjective problems.
J. Ambient Intell. Humaniz. Comput., 2015
Constrained differential evolution with multiobjective sorting mutation operators for constrained optimization.
Appl. Soft Comput., 2015
2014
Differential Evolution Enhanced With Multiobjective Sorting-Based Mutation Operators.
IEEE Trans. Cybern., 2014
2013
Differential Evolution With Neighborhood and Direction Information for Numerical Optimization.
IEEE Trans. Cybern., 2013
Proceedings of the 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies, 2013
A Soft Subspace Clustering Algorithm Based on Multi-Objective Optimization and Reliability Measure.
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013
2012
Learnable tabu search guided by estimation of distribution for maximum diversity problems.
Soft Comput., 2012
Soft Comput., 2012
2011
Cooperative annealing Hopfield network for unconstrained binary quadratic programming problem.
Expert Syst. Appl., 2011
Combining tabu Hopfield network and estimation of distribution for unconstrained binary quadratic programming problem.
Expert Syst. Appl., 2011
Expert Syst. Appl., 2011
Multi-start stochastic competitive Hopfield neural network for frequency assignment problem in satellite communications.
Expert Syst. Appl., 2011
Memetic clonal selection algorithm with EDA vaccination for unconstrained binary quadratic programming problems.
Expert Syst. Appl., 2011
Discrete particle swarm optimization based on estimation of distribution for terminal assignment problems.
Comput. Ind. Eng., 2011
2010
Discrete Hopfield network combined with estimation of distribution for unconstrained binary quadratic programming problem.
Expert Syst. Appl., 2010
2009
Competitive Hopfield Network Combined With Estimation of Distribution for Maximum Diversity Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2009
Expert Syst. Appl., 2009
Discrete particle swarm optimization based on estimation of distribution for polygonal approximation problems.
Expert Syst. Appl., 2009
Proceedings of the Advances in Neural Networks, 2009
2008
Hopfield Neural Network Based on Estimation of Distribution for Two-Page Crossing Number Problem.
IEEE Trans. Circuits Syst. II Express Briefs, 2008
A Chaotic Neural Network Combined Heuristic Strategy for Multidimensional Knapsack Problem.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008
Competitive Hopfield Neural Network with Periodic Stochastic Dynamics for Partitional Clustering.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008
MATLAB Simulink modeling and simulation of Zhang neural networks for online time-varying sylvester equation solving.
Proceedings of the International Joint Conference on Neural Networks, 2008
Genetic Particle Swarm Optimization Based on Multiagent Model for Combinatorial Optimization Problem.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
Discrete quantum-behaved particle swarm optimization based on estimation of distribution for combinatorial optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
A Genetic Algorithm with Conditional Crossover and Mutation Operators and Its Application to Combinatorial Optimization Problems.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007
A Memetic Algorithm with Genetic Particle Swarm Optimization and Neural Network for Maximum Cut Problems.
Proceedings of the Bio-Inspired Computational Intelligence and Applications, 2007
Proceedings of the Bio-Inspired Computational Intelligence and Applications, 2007
A Hybrid of Particle Swarm Optimization and Hopfield Networks for Bipartite Subgraph Problems.
Proceedings of the Advances in Neural Networks, 2007
A Discrete Estimation of Distribution Particle Swarm Optimization for Combinatorial Optimization Problems.
Proceedings of the Third International Conference on Natural Computation, 2007
Quantum-Behaved Particle Swarm Optimization with Generalized Local Search Operator for Global Optimization.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007
Hybrid quantum particle swarm optimization algorithm for combinatorial optimization problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
2006
Neurocomputing, 2006
2005
An Improved Neural Computing Algorithm for the m_Way Graph Partitioning Problem.
Neural Parallel Sci. Comput., 2005
Neurocomputing, 2005
A discrete competitive Hopfield neural network for cellular channel assignment problems.
Neurocomputing, 2005
2004
Neurocomputing, 2004
Neurocomputing, 2004
An improved transiently chaotic neural network for the maximum independent set problem.
Int. J. Neural Syst., 2004
Int. J. Neural Syst., 2004
Optimal competitive hopfield network with stochastic dynamics for maximum cut problem.
Int. J. Neural Syst., 2004
IEICE Trans. Inf. Syst., 2004
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the Advances in Neural Networks, 2004
2003
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003