Zhenpeng Wu

Orcid: 0000-0003-0326-3693

According to our database1, Zhenpeng Wu authored at least 32 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DSA-GNAS: graph neural architecture search with deep semantic adaptation of large language models.
Knowl. Inf. Syst., December, 2026

Drug Repositioning Based on Expert Knowledge Augmented Graph Neural Network.
IEEE J. Biomed. Health Informatics, June, 2026

AutoGRN: An Automated Graph Neural Network Framework for Gene Regulatory Network Inference.
IEEE J. Biomed. Health Informatics, April, 2026

Joint Transceiver IQ Skew and Sampling Frequency Offset Estimation in Coherent OFDM Systems.
IEEE Trans. Commun., 2026

Deep-shallow semantic fusion inference based on graph neural network.
Inf. Fusion, 2026

Improving the representational power of graph neural networks via mixed substructure learning.
Inf. Fusion, 2026

ARFNet: Scale-aware adaptive receptive field network for time series forecasting.
Neurocomputing, 2026

Attribute-decoupled graph neural architecture search for discrete point anomaly detection.
Expert Syst. Appl., 2026

2025
Federated Adaptive Pseudo-Labeling Selection for Semi-Supervised Air Writing Recognition Systems.
IEEE Trans. Consumer Electron., May, 2025

Adaptive genetic algorithm-driven global collaborative optimization of multiparameter lubrication film texture morphology for enhanced tribological performance.
J. Comput. Des. Eng., 2025

Shapley-guided pruning for efficient graph neural architecture prediction in distributed learning environments.
Inf. Sci., 2025

Asymmetric augmented paradigm-based graph neural architecture search.
Inf. Process. Manag., 2025

Towards Better Graph Anomaly Detection: A Performance-Aware Neural Architecture Search Approach.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

AutoGRAD: An Automated Gene Regulatory Network Inference Framework Based on Graph Anomaly Detection Paradigm.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
AutoDDI: Drug-Drug Interaction Prediction With Automated Graph Neural Network.
IEEE J. Biomed. Health Informatics, March, 2024

Adaptive graph contrastive learning with joint optimization of data augmentation and graph encoder.
Knowl. Inf. Syst., March, 2024

Graph neural architecture prediction.
Knowl. Inf. Syst., January, 2024

AutoAMS: Automated attention-based multi-modal graph learning architecture search.
Neural Networks, 2024

Depth-adaptive graph neural architecture search for graph classification.
Knowl. Based Syst., 2024

Decoupled differentiable graph neural architecture search.
Inf. Sci., 2024

Privacy computing meets metaverse: Necessity, taxonomy and challenges.
Ad Hoc Networks, 2024

A Low Complexity Coherent 16×400 Gbit/s 4SC-16QAM DSCM system with Precise Transceiver IQ Skew Compensation and Simplified Equalization.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

A Novel Low Complexity and Precise Transceiver IQ skew Calibration Method for Single Carrier Coherent System.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

Adaptive Drug Repositioning Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

M3GNAS: Multi-modal Multi-view Graph Neural Architecture Search for Medical Outcome Predictions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
GM2NAS: multitask multiview graph neural architecture search.
Knowl. Inf. Syst., October, 2023

Cancer drug response prediction with surrogate modeling-based graph neural architecture search.
Bioinform., August, 2023

DeepRetention: A Deep Learning Approach for Intron Retention Detection.
Big Data Min. Anal., June, 2023

Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond.
CoRR, 2023

2022
A comparison of computational approaches for intron retention detection.
Big Data Min. Anal., 2022

Glycan Immunogenicity Prediction with Efficient Automatic Graph Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020
Identification of Disease-Associated Genes Based on Differential Intron Retention.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020


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