publications
publications by categories in reversed chronological order. generated by jekyll-scholar.
2025
- AAAIMulti-objective molecular design through learning latent Pareto setIn Proceedings of the AAAI Conference on Artificial Intelligence, 2025
- J. Med. Chem.HMAMP: Designing Highly Potent Antimicrobial Peptides Using a Hypervolume-Driven Multiobjective Deep Generative ModelJournal of Medicinal Chemistry, 2025
- IEEE JBHIPKAN: Leveraging Kolmogorov-Arnold Networks and Multi-modal Learning for Peptide Prediction with Advanced Language ModelsIEEE Journal of Biomedical and Health Informatics, 2025
- Instruction multi-constraint molecular generation using a teacher-student large language modelBMC biology, 2025
- Energy-efficient optimization for distributed blocking hybrid flowshop scheduling: a self-regulating iterative greedy algorithm under makespan constraintOptimization and Engineering, 2025
- Reinforcement learning-assisted memetic algorithm for sustainability-oriented multiobjective distributed flow shop group schedulingIEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025
- Drug-target interaction prediction based on metapaths and simplified neighbor aggregationMethods, 2025
- AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug DiscoveryarXiv preprint arXiv:2505.11878, 2025
- From fluid relaxations to double deep Q-network for Dynamic Multiplicity Flexible Job-Shop SchedulingApplied Soft Computing, 2025
2024
- IEEE-TEVCEvolutionary multimodal multiobjective optimization for traveling salesman problemsIEEE Transactions on Evolutionary Computation, 2024
- MOFormer: Multi-Objective Antimicrobial Peptide Generation through Conditional Transformer with Multi-Fusion Descriptors2024
- Evolutionary multimodal multiobjective optimization guided by growing neural gasSwarm and Evolutionary Computation, 2024
- Multi-Objective Molecular Design in Constrained Latent SpaceIn 2024 International Joint Conference on Neural Networks (IJCNN), 2024
- Evolutionary Multiobjective Molecule Optimization in an Implicit Chemical SpaceJournal of Chemical Information and Modeling, 2024
- Integration of hybrid and self-correction method improves the quality of long-read sequencing dataBriefings in Functional Genomics, 2024
- Hansynergy: Heterogeneous graph attention network for drug synergy predictionJournal of Chemical Information and Modeling, 2024
- Theoretical analysis and implementation of mandatory operations-based accelerated search in graph space for hybrid flow shop schedulingExpert Systems with Applications, 2024
- Learning to denoise biomedical knowledge graph for robust molecular interaction predictionIEEE Transactions on Knowledge and Data Engineering, 2024
- Distributed hybrid flowshop scheduling with consistent sublots under delivery time windows: A penalty lot-assisted iterated greedy algorithmEgyptian Informatics Journal, 2024
- Multi-population coevolutionary algorithm for a green multi-objective flexible job shop scheduling problem with automated guided vehicles and variable processing speed constraintsSwarm and Evolutionary Computation, 2024
2023
- IEEE-CIMEvolutionary multi-objective optimization in searching for various antimicrobial peptides [feature]IEEE Computational Intelligence Magazine, 2023
- Reference vector adaptation and mating selection strategy via adaptive resonance theory-based clustering for many-objective optimizationIEEE Access, 2023
- Energy-efficient iterative greedy algorithm for the distributed hybrid flow shop scheduling with blocking constraintsIEEE Transactions on Emerging Topics in Computational Intelligence, 2023
- An effective two-stage iterated greedy algorithm for distributed flowshop group scheduling problem with setup timeExpert Systems with Applications, 2023
- Sequence alignment/map format: a comprehensive review of approaches and applicationsBriefings in Bioinformatics, 2023
- A decomposition-based multi-modal multi-objective evolutionary algorithm with problem transformation into two-objective subproblemsIn Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023
- Learning to denoise unreliable interactions for link prediction on biomedical knowledge graphCoRR, 2023
2022
- An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problemSwarm and Evolutionary Computation, 2022
- An effective iterative greedy algorithm for distributed blocking flowshop scheduling problem with balanced energy costs criterionApplied Soft Computing, 2022
- A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraintsExpert Systems with Applications, 2022
- A multi-population multi-objective evolutionary algorithm based on the contribution of decision variables to objectives for large-scale multi/many-objective optimizationIEEE Transactions on Cybernetics, 2022
- Intelligent optimization under blocking constraints: A novel iterated greedy algorithm for the hybrid flow shop group scheduling problemKnowledge-Based Systems, 2022
2021
- Multi-modal multi-objective traveling salesman problem and its evolutionary optimizerIn 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021
- Distributed flow shop scheduling with sequence-dependent setup times using an improved iterated greedy algorithmComplex system modeling and simulation, 2021
- An Algorithm Based on Local Search for Solving Energy-efficient Distributed Blocking Flowshop Problems with Sequence-dependent Setup TimesIn 2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT), 2021
- An improved iterated greedy algorithm for the distributed flow shop scheduling problem with sequence-dependent setup timesIn 2021 11th International Conference on Information Science and Technology (ICIST), 2021
2020
- IEEE-TEVCHandling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multi-Modal Multi-Objective OptimizationIEEE Transactions on Evolutionary Computation, 2020
- Adapting reference vectors and scalarizing functions by growing neural gas to handle irregular Pareto frontsIEEE Transactions on Evolutionary Computation, 2020
- A meta-objective approach for many-objective evolutionary optimizationEvolutionary computation, 2020
- On the normalization in evolutionary multi-modal multi-objective optimizationIn 2020 IEEE congress on evolutionary computation (CEC), 2020
- Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup timeApplied Soft Computing, 2020
- Meta-heuristic algorithm for solving vehicle routing problems with time windows and synchronized visit constraints in prefabricated systemsJournal of Cleaner Production, 2020
- Multilayer clustering based on adaptive resonance theory for noisy environmentsIn 2020 International Joint Conference on Neural Networks (IJCNN), 2020
2019
- Searching for local Pareto optimal solutions: A case study on polygon-based problemsIn 2019 IEEE Congress on Evolutionary Computation (CEC), 2019
- Constrained multiobjective distance minimization problemsIn Proceedings of the Genetic and Evolutionary Computation Conference, 2019
- Topological clustering via adaptive resonance theory with information theoretic learningIEEE Access, 2019
- Migrating birds optimization for lot-streaming flow shop scheduling problemIn 2019 ieee congress on evolutionary computation (cec), 2019
- Fast topological adaptive resonance theory based on correntropy induced metricIn 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019
2018
- A multimodal multiobjective evolutionary algorithm using two-archive and recombination strategiesIEEE Transactions on Evolutionary Computation, 2018
- Improving 1by1EA to handle various shapes of Pareto frontsIn International Conference on Parallel Problem Solving from Nature, 2018
- A double-niched evolutionary algorithm and its behavior on polygon-based problemsIn International conference on parallel problem solving from nature, 2018
- A new R2 indicator for better hypervolume approximationIn Proceedings of the Genetic and Evolutionary Computation Conference, 2018
- Topological kernel bayesian ARTMAPIn 2018 world automation congress (WAC), 2018
2017
- A many-objective evolutionary algorithm using a one-by-one selection strategyIEEE Transactions on Cybernetics, 2017
- Many-objective evolutionary optimization based on reference pointsApplied Soft Computing, 2017
2016
- Indicator-based set evolution particle swarm optimization for many-objective problemsSoft Computing, 2016
2015
- Parallel many-objective evolutionary optimization using objectives decompositionActa Automatica Sinica, 2015
- Evolutionary algorithms with user’s preferences for solving hybrid interval multi-objective optimization problemsApplied Intelligence, 2015
2014
- A reference points-based evolutionary algorithm for many-objective optimizationIn Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014