Cover Image

AVP-Pro: An Adaptive Multi-Modal Fusion and Contrastive Learning Approach for Comprehensive Two-Stage Antiviral Peptide Identification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wen, Xinru, Lin, Weizhong, liu, zi, Xiao, Xuan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AVP-Fusion: Adaptive Multi-Modal Fusion and Contrastive Learning for Two-Stage Antiviral Peptide Identification
by: Wen, Xinru, et al.
Published: (2025)

A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
by: Wang, Yongkang, et al.
Published: (2023)

TAP: Two-Stage Adaptive Personalization of Multi-Task and Multi-Modal Foundation Models in Federated Learning
by: Lee, Seohyun, et al.
Published: (2025)

Localized Kernel Projection Outlyingness: A Two-Stage Approach for Multi-Modal Outlier Detection
by: Tamamori, Akira
Published: (2025)

A Machine Learning Approach to Two-Stage Adaptive Robust Optimization
by: Bertsimas, Dimitris, et al.
Published: (2023)

A Two-Stage Learning-to-Defer Approach for Multi-Task Learning
by: Montreuil, Yannis, et al.
Published: (2024)

Edge-aware GAT-based protein binding site prediction
by: Yang, Weisen, et al.
Published: (2026)

wendy1031/AVP-Pro: AVP-Pro v1.0.0
by: wendy1031
Published: (2026)

Multi-Label Contrastive Learning : A Comprehensive Study
by: Audibert, Alexandre, et al.
Published: (2024)

Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation
by: Wang, Zhiwei, et al.
Published: (2024)

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion
by: Hu, Jiacheng, et al.
Published: (2025)

Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications
by: Baldenweg, Fabian, et al.
Published: (2024)

ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy
by: Li, Hong, et al.
Published: (2024)

ASPECT: Node-Level Adaptive Spectral Fusion for Graph Contrastive Learning
by: Li, Zhuolong, et al.
Published: (2026)

Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems
by: Hussain, Sajid, et al.
Published: (2025)

HeLo: Heterogeneous Multi-Modal Fusion with Label Correlation for Emotion Distribution Learning
by: Zheng, Chuhang, et al.
Published: (2025)

FusionSense: Tri-Stage Near-Sensor Learning for Runtime-Adaptive Multimodal Edge Intelligence
by: Yun, Sanggeon, et al.
Published: (2026)

MCLRL: A Multi-Domain Contrastive Learning with Reinforcement Learning Framework for Few-Shot Modulation Recognition
by: Xu, Dongwei, et al.
Published: (2025)

Adaptive Fuzzy C-Means with Graph Embedding
by: Chen, Qiang, et al.
Published: (2024)

Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities
by: Borazjani, Kasra, et al.
Published: (2024)

Improving Word Translation via Two-Stage Contrastive Learning
by: Li, Yaoyiran, et al.
Published: (2022)

Long-Tailed Recognition via Information-Preservable Two-Stage Learning
by: Lin, Fudong, et al.
Published: (2025)

KEMP-PIP: A Feature-Fusion Based Approach for Pro-inflammatory Peptide Prediction
by: Niloy, Soumik Deb, et al.
Published: (2026)

Learning Scenario Reduction for Two-Stage Robust Optimization with Discrete Uncertainty
by: Lin, Tianjue, et al.
Published: (2026)

Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning
by: Deng, Jiewen, et al.
Published: (2024)

T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion
by: Chowdhury, Abdul Monaf, et al.
Published: (2025)

Machine Learning for Two-Stage Graph Sparsification for the Travelling Salesman Problem
by: Lin, Bo-Cheng, et al.
Published: (2026)

GRADE: Personalized Multi-Task Fusion via Group-relative Reinforcement Learning with Adaptive Dirichlet Exploration
by: Hong, Tingfeng, et al.
Published: (2025)

Two-Stage Data Synthesization: A Statistics-Driven Restricted Trade-off between Privacy and Prediction
by: Liu, Xiaotong, et al.
Published: (2026)

Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making
by: Luo, Yang, et al.
Published: (2024)

Generalized Contrastive Learning for Multi-Modal Retrieval and Ranking
by: Zhu, Tianyu, et al.
Published: (2024)

Federated Two Stage Decoupling With Adaptive Personalization Layers
by: Zhu, Hangyu, et al.
Published: (2023)

Adaptive Multi-head Contrastive Learning
by: Wang, Lei, et al.
Published: (2023)

UniPTMs: The First Unified Multi-type PTM Site Prediction Model via Master-Slave Architecture-Based Multi-Stage Fusion Strategy and Hierarchical Contrastive Loss
by: Lin, Yiyu, et al.
Published: (2025)

SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests
by: Zhou, Wei, et al.
Published: (2026)

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations
by: Mühlematter, Dominik J., et al.
Published: (2025)

From Representation to Clusters: A Contrastive Learning Approach for Attributed Hypergraph Clustering
by: Ni, Li, et al.
Published: (2026)

Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning
by: Xu, Yiming, et al.
Published: (2025)

A Concept-Centric Approach to Multi-Modality Learning
by: Geng, Yuchong, et al.
Published: (2024)

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion
by: Zou, Tianyuan, et al.
Published: (2025)