Pengfei Gu

Orcid: 0000-0003-2160-1078

According to our database1, Pengfei Gu authored at least 48 papers between 2018 and 2025.

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

Timeline

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On csauthors.net:

Bibliography

2025
TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification.
CoRR, August, 2025

EffoNAV: An Effective Foundation-Model-Based Visual Navigation Approach in Challenging Environment.
IEEE Robotics Autom. Lett., July, 2025

GenAI for Simulation Model in Model-Based Systems Engineering.
CoRR, March, 2025

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8.
CoRR, February, 2025

Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

White Light Specular Reflection Data Augmentation for Deep Learning Polyp Detection.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Hierarchical Log Bayesian Neural Network for Enhanced Aorta Segmentation.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Adapting a Segmentation Foundation Model for Medical Image Classification.
Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

Topo-VM-UNetV2: Encoding Topology Into Vision Mamba UNet for Polyp Segmentation.
Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2024
Robust Neural Visual Inertial Odometry With Deep Velocity Constraint.
IEEE Robotics Autom. Lett., November, 2024

RVIO: An Effective Localization Algorithm for Range-Aided Visual-Inertial Odometry System.
IEEE Trans. Intell. Transp. Syst., February, 2024

TestFit: A plug-and-play one-pass test time method for medical image segmentation.
Medical Image Anal., February, 2024

Leveraging Map Retrieval and Alignment for Robust UAV Visual Geo-Localization.
IEEE Trans. Instrum. Meas., 2024

X-RMTV: An Integrated Approach for Requirement Modeling, Traceability Management, and Verification in MBSE.
Syst., 2024

Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation.
CoRR, 2024

FCNR: Fast Compressive Neural Representation of Visualization Images.
Proceedings of the IEEE Visualization and Visual Analytics, 2024

Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Path-Gptomic: A Balanced Multi-Modal Learning Framework For Survival Outcome Prediction.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Boosting Medical Image Classification with Segmentation Foundation Model.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Gradient Reactivation Enhanced Causal Attention for Out-Of-Distribution Generalizable Graph Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

StarMFND: Star Topology Multi-Domain Fake News Detection.
Proceedings of the 7th International Conference on Data Science and Information Technology, 2024

Semi-physical Modeling and Simulation for Industrial Product Design Based on X Language.
Proceedings of the Methods and Applications for Modeling and Simulation of Complex Systems, 2024

2023
NeRVI: Compressive neural representation of visualization images for communicating volume visualization results.
Comput. Graph., November, 2023

MO-CBACORP: A new energy-efficient secure routing protocol for underwater monitoring wireless sensor network.
J. King Saud Univ. Comput. Inf. Sci., October, 2023

S-VIO: Exploiting Structural Constraints for RGB-D Visual Inertial Odometry.
IEEE Robotics Autom. Lett., June, 2023

SES-X: A MBSE Methodology Based on SES/MB and X Language.
Inf., January, 2023

SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation.
CoRR, 2023

Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective.
CoRR, 2023

SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

GrNT: Gate-Regularized Network Training for Improving Multi-Scale Fusion in Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Point in the Right Direction: Vector Prediction for Spatially-Aware Self-Supervised Volumetric Representation Learning.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

ConvFormer: Combining CNN and Transformer for Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
3-D-Printed Wideband High-Efficiency Dual-Frequency Antenna for Vehicular Communications.
IEEE Trans. Veh. Technol., 2022

Visual Localization and Mapping Leveraging the Constraints of Local Ground Manifolds.
IEEE Robotics Autom. Lett., 2022

An Integrated Intelligent Modeling and Simulation Language for Model-based Systems Engineering.
J. Ind. Inf. Integr., 2022

Optimal Design of Flexible Job Shop Scheduling Under Resource Preemption Based on Deep Reinforcement Learning.
Complex Syst. Model. Simul., 2022

Real-Time Visual Inertial Odometry with a Resource-Efficient Harris Corner Detection Accelerator on FPGA Platform.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning.
Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022

2021
Approximate set union via approximate randomization.
Theor. Comput. Sci., 2021

Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising.
IEEE Computer Graphics and Applications, 2021

kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

X Language: An Integrated Intelligent Modeling and Simulation Language for Complex Products.
Proceedings of the Annual Modeling and Simulation Conference, 2021

2020
InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Polyhedral Circuits and Their Applications.
Proceedings of the Algorithmic Aspects in Information and Management, 2020

2018
Polyhedra Circuits and Their Applications.
CoRR, 2018


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