2026

Robust Federated Intrusion Detection via Prototype Distillation
Knowledge-Based Systems
2026
A Molecular Language Model Driven Genetic Algorithm for Multi-Objective Molecular Generation
IEEE Transactions on Evolutionary Computation
2026

UINO-FSS: Unifying Representation Learning and Few-Shot Segmentation via Hierarchical Distillation and Mamba-HyperCorrelation
IEEE Transactions on Image Processing
2026

DegradeQuery: Counterfactual Tuple Pretraining for Context-Aware PROTAC Degradation Prediction
arXiv
2026

READ: A Retrieval-Alignment Diffusion Framework for Structure-Based Drug Design
IEEE Transactions on Computational Biology and Bioinformatics
2026
Synchronized Membrane Potential-driven Plasticity for Spiking Neural Networks
IEEE Transactions on Cognitive and Developmental Systems
2026
Structure-Function Aware Evolutionary Multitasking for Therapeutic Peptide Co-Discovery
IEEE Transactions on Evolutionary Computation
2026

Evaluating a Novel Incremental-Input Neural Network for Multivariate Air Temperature Forecasting
Engineering Applications of Artificial Intelligence
2026

SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests
arXiv
2026

Zero-Shot Recommendation: Towards Class Semantic Relation Learning for Inferring Labels of Unseen Micro-Videos
Proceedings of the AAAI Conference on Artificial Intelligence
2026

An Explainable Machine Learning-Based Scoring Function Using Interpretable Features and Model Explanation Approaches for Binding Affinity Prediction
Expert Systems with Applications
2026

METRON: Metabolic Dynamic Perception Kolmogorov-Arnold Network for Biological Age Estimation
IEEE Transactions on Computational Biology and Bioinformatics
2026

Feshdock: A Divide-and-Conquer Protein–Protein Complex Conformation Prediction Algorithm
IEEE Transactions on Evolutionary Computation
2026

BioLM-Score: Language-Prior Conditioned Probabilistic Geometric Potentials for Protein-Ligand Scoring
arXiv
2026

RIGA-Fold: A General Framework for Protein Inverse Folding via Recurrent Interaction and Geometric Awareness
arXiv
2026

Unveiling Scaling Behaviors in Molecular Language Models: Effects of Model Size, Data, and Representation
arXiv
2026

From Tokens to Blocks: A Block-Diffusion Perspective on Molecular Generation
arXiv
2026

UniBreak: A Unified Evolutionary Token-Level Jailbreaking Framework for Large Language Models
IEEE Transactions on Evolutionary Computation
2026

Rethinking Drug-Drug Interaction Modeling as Generalizable Relation Learning
arXiv
2026
2025

Toward Closed-loop Molecular Discovery via Language Model, Property Alignment and Strategic Search
arXiv
2025

A temporally coded multilayer spiking neural network and its memristor-based hardware implementationn
Neurocomputing
2025

Strokeformer: A novel deep learning paradigm training transformer-based architecture for stroke prognosis prediction
PLOS One
2025

IBEX: Information-Bottleneck-EXplored Coarse-to-Fine Molecular Generation under Limited Data
arXiv 2025

FROGENT: An End-to-End Full-process Drug Design Agent
arXiv
2025

A Dual-Directional Context-Aware Test-Time Learning for Text Classification
International Conference on Intelligent Computing
2025

Federated Intrusion Detection System With Cost-Sensitive Learning for Internet of Thingsn
IEEE Internet of Things Journal
2025

Phage Host Prediction Using Deep Neural Network with Multi-source Protein Language Models and Squeeze-and-Excitation Attention Mechanism
IEEE Journal of Biomedical and Health Informatics
2025

Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion
IEEE/ACM Transactions on Computational Biology and Bioinformatics
2025

A Node-Degree Power-Law Distribution-Based Honey Badger Algorithm for Global and Engineering Optimization
Electronics
2025

A Logic Circuit-Based Intrusion Detection System Using a Dendritic Neural Model Ensemble
IEEE Computational Intelligence Magazine
2025
2024

Dockformer: A transformer-based molecular docking paradigm for large-scale virtual screening
IEEE Transactions on Neural Networks and Learning Systems
2024

Generating Logic Circuit Classifiers from Dendritic Neural Model via Multi-objective Optimization
Swarm and Evolutionary Computation
2024

Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model
IEEE Transactions on Emerging Topics in Computational Intelligence
2024
2023
2022

AutoDock Koto: A Gradient Boosting Differential Evolution for Molecular Docking
IEEE Transactions on Evolutionary Computation
2022

Competitive Decomposition-Based Multiobjective Architecture Search for the Dendritic Neural Model
IEEE Transactions on Cybernetics
2022

Adopting a Dendritic Neural Model for Predicting Stock Price Index Movement
Expert Systems with Applications
2022

A Survey on Dendritic Neuron Model: Mechanisms, Algorithms and Practical Applications
Neurocomputing
2022

Evolutionary Neural Architecture Design of Liquid State Machine for Image Classification
ICASSP 2022
2022

A Novel Motion Direction Detection Mechanism Based on Dendritic Computation of Direction-Selective Ganglion Cells
Knowledge-Based Systems
2022
Noninvasive Cuffless Blood Pressure Estimation with Dendritic Neural Regression
IEEE Transactions on Cybernetics
2022

A Cuckoo Search Algorithm with Scale-Free Population Topology
Expert Systems with Applications
2022
2021

Artificial Immune System Training Algorithm for a Dendritic Neuron Model
Knowledge-Based Systems
2021

Transmission Trend of the COVID-19 Pandemic Predicted by Dendritic Neural Regression
Applied Soft Computing
2021

Forecasting Wind Speed Time Series Via Dendritic Neural Regression
IEEE Transactions on Neural Networks and Learning Systems
2021

A Simple Dendritic Neural Network Model-Based Approach for Daily PM2.5 Concentration Prediction
Electronics
2021

Decomposition-Based Multiobjective Optimization with Bicriteria Assisted Adaptive Operator Selection
Swarm and Evolutionary Computation
2021









