Jiahai Wang

Orcid: 0000-0002-6961-7813

According to our database1, Jiahai Wang authored at least 170 papers between 2003 and 2024.

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Bibliography

2024
Heterogeneous Interaction Modeling With Reduced Accumulated Error for Multiagent Trajectory Prediction.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Dynamic Population Structures-Based Differential Evolution Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

Incremental feature selection for dynamic incomplete data using sub-tolerance relations.
Pattern Recognit., April, 2024

Consistency approximation: Incremental feature selection based on fuzzy rough set theory.
Pattern Recognit., 2024

Locally-adaptive mapping for network alignment via meta-learning.
Inf. Process. Manag., 2024

AFL-DCS: An asynchronous federated learning framework with dynamic client scheduling.
Eng. Appl. Artif. Intell., 2024

A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems.
CoRR, 2024

ProtoTree-MIL: Interpretable Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
A systematic review of data-driven approaches to fault diagnosis and early warning.
J. Intell. Manuf., December, 2023

Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

TADC: A Topic-Aware Dynamic Convolutional Neural Network for Aspect Extraction.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Solving fuzzy scheduling using clustering method and bacterial foraging algorithm.
Soft Comput., June, 2023

Solving Dynamic Traveling Salesman Problems With Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Fully Complex-Valued Dendritic Neuron Model.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Improving task generalization via unified schema prompt.
AI Open, January, 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

DegUIL: Degree-Aware Graph Neural Networks for Long-Tailed User Identity Linkage.
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

Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization.
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

Democratizing Reasoning Ability: Tailored Learning from Large Language Model.
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

Split-Delivery Capacitated Arc-Routing Problem With Time Windows.
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

A simple two-agent system for multi-objective flexible job-shop scheduling.
J. Comb. Optim., 2022

Multiple userids identification with deep learning.
Expert Syst. Appl., 2022

Reasoning over Hybrid Chain for Table-and-Text Open Domain QA.
CoRR, 2022

Performance analysis of flexible flow shop with parallel manufacturing cells.
Comput. Ind. Eng., 2022

Solving Quadratic Traveling Salesman Problem with Deep Reinforcement Learning.
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

Analytical Reasoning of Text.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

ProQA: Structural Prompt-based Pre-training for Unified Question Answering.
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

Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Data Leakage Attack via Backdoor Misclassification Triggers of Deep Learning Models.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

A Coarse-to-Fine Training Paradigm for Dialogue Summarization.
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

UECA-Prompt: Universal Prompt for Emotion Cause Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Enhanced Branch-and-Bound Framework for a Class of Sequencing Problems.
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

Chaotic Local Search-Based Differential Evolution Algorithms for Optimization.
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

TACN: A Topical Adversarial Capsule Network for textual network embedding.
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

GSMNet: Global Semantic Memory Network for Aspect-Level Sentiment Classification.
IEEE Intell. Syst., 2021

Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems.
CoRR, 2021

AR-LSAT: Investigating Analytical Reasoning of Text.
CoRR, 2021

Scale-free Network-based Differential Evolution.
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

Topic-to-Essay Generation with Comprehensive Knowledge Enhancement.
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

UserAdapter: Few-Shot User Learning in Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Neural Relational Inference with Efficient Message Passing Mechanisms.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Tri-Goal Evolution Framework for Constrained Many-Objective Optimization.
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

Bi-objective Elite Differential Evolution Algorithm for Multivalued Logic Networks.
IEEE Trans. Cybern., 2020

Construction-Based Optimization Approaches to Airline Crew Rostering Problem.
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

Fusion-Extraction Network for Multimodal Sentiment Analysis.
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

Neural Deepfake Detection with Factual Structure of Text.
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

Multi-choice Relational Reasoning for Machine Reading Comprehension.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Reasoning Over Semantic-Level Graph for Fact Checking.
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

Segment-Level Joint Topic-Sentiment Model for Online Review Analysis.
IEEE Intell. Syst., 2019

Attentional Encoder Network for Targeted Sentiment Classification.
CoRR, 2019

GMMA: GPU-based multiobjective memetic algorithms for vehicle routing problem with route balancing.
Appl. Intell., 2019

Improving Question Answering by Commonsense-Based Pre-training.
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

A Position-aware Transformation Network for Aspect-level Sentiment Classification.
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

Targeted Sentiment Classification with Attentional Encoder Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018
The Quay Crane Scheduling Problem With Stability Constraints.
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

On the selection of solutions for mutation in differential evolution.
Frontiers Comput. Sci., 2018

2017
Ensemble of many-objective evolutionary algorithms for many-objective problems.
Soft Comput., 2017

Understanding differential evolution: A Poisson law derived from population interaction network.
J. Comput. Sci., 2017

Using a Single Dendritic Neuron to Forecast Tourist Arrivals to Japan.
IEICE Trans. Inf. Syst., 2017

Neighborhood-adaptive differential evolution for global numerical optimization.
Appl. Soft Comput., 2017

M-NSGA-II: A Memetic Algorithm for Vehicle Routing Problem with Route Balancing.
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

Multiobjective local search for community detection in networks.
Soft Comput., 2016

Adaptive direction information in differential evolution for numerical optimization.
Soft Comput., 2016

Financial time series prediction using a dendritic neuron model.
Knowl. Based Syst., 2016

Differential evolution with guiding archive for global numerical optimization.
Appl. Soft Comput., 2016

Improving Artificial Bee Colony Algorithm with Historical Archive.
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

Differential evolution with hybrid linkage crossover.
Inf. Sci., 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

Single Objective Guided Multiobjective Optimization Algorithm.
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

Learning-enhanced differential evolution for numerical optimization.
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

Improved stochastic competitive Hopfield network for polygonal approximation.
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

Stochastic optimal competitive Hopfield network for partitional clustering.
Expert Syst. Appl., 2009

Discrete particle swarm optimization based on estimation of distribution for polygonal approximation problems.
Expert Syst. Appl., 2009

Multi-start Stochastic Competitive Hopfield Neural Network for p-Median Problem.
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

A Self-Organizing Map Algorithm for the Traveling Salesman Problem.
Proceedings of the Fourth International Conference on Natural Computation, 2008

A Hopfield-Type Neural Network for Haplotype Assembly Problem.
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

Genetic Particle Swarm Optimization Based on Estimation of Distribution.
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

A Novel Discrete Particle Swarm Optimization Based on Estimation of Distribution.
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
An improved discrete Hopfield neural network for Max-Cut problems.
Neurocomputing, 2006

2005
An Improved Neural Computing Algorithm for the m_Way Graph Partitioning Problem.
Neural Parallel Sci. Comput., 2005

A method to improve the transiently chaotic neural network.
Neurocomputing, 2005

A binary Hopfield neural network with hysteresis for large crossbar packet-switches.
Neurocomputing, 2005

A discrete competitive Hopfield neural network for cellular channel assignment problems.
Neurocomputing, 2005

2004
Maximum neural network with nonlinear self-feedback for maximum clique problem.
Neurocomputing, 2004

An improved optimal competitive Hopfield network for bipartite subgraph problems.
Neurocomputing, 2004

An improved transiently chaotic neural network for the maximum independent set problem.
Int. J. Neural Syst., 2004

An Annealed Chaotic Maximum Neural Network For Bipartite Subgraph Problem.
Int. J. Neural Syst., 2004

Optimal competitive hopfield network with stochastic dynamics for maximum cut problem.
Int. J. Neural Syst., 2004

A Chaotic Maximum Neural Network for Maximum Clique Problem.
IEICE Trans. Inf. Syst., 2004

A Method to Improve the Transiently Chaotic Neural Network.
Proceedings of the Advances in Neural Networks, 2004

A New Parallel Improvement Algorithm for Maximum Cut Problem.
Proceedings of the Advances in Neural Networks, 2004

A New Neural Network Algorithm for Clique Vertex-Partition Problem.
Proceedings of the Advances in Neural Networks, 2004

A Positively Self-Feedbacked Hopfield Neural Network for N-Queens Problem.
Proceedings of the Advances in Neural Networks, 2004

An Algorithm Based on Hopfield Network Learning for Minimum Vertex Cover Problem.
Proceedings of the Advances in Neural Networks, 2004

2003
An Elastic Net Learning Algorithm for Edge Linking of Images.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003

A Gradient Ascent Learning Algorithm for Elastic Nets.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003


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