Lei Fan

Orcid: 0000-0001-9472-7152

Affiliations:
  • Gaozhe Technology, Hefei, China
  • University of New South Wales, School of Computer Science and Engineering, Sydney, Australia


According to our database1, Lei Fan authored at least 35 papers between 2018 and 2025.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
LLaPa: A Vision-Language Model Framework for Counterfactual-Aware Procedural Planning.
CoRR, July, 2025

SAGE: A Visual Language Model for Anomaly Detection via Fact Enhancement and Entropy-aware Alignment.
CoRR, July, 2025

Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning.
CoRR, June, 2025

Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning.
CoRR, June, 2025

GrainBrain: Multiview Identification and Stratification of Defective Grain Kernels.
IEEE Trans. Ind. Informatics, May, 2025

Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities.
CoRR, May, 2025

Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance.
CoRR, May, 2025

Adams Bashforth Moulton Solver for Inversion and Editing in Rectified Flow.
CoRR, March, 2025

Tuning-Free Long Video Generation via Global-Local Collaborative Diffusion.
CoRR, January, 2025

ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection.
IEEE Trans. Instrum. Meas., 2025

An Open-Set Semi-Supervised Contrastive Learning for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2025

Multi-modal hypergraph contrastive learning for medical image segmentation.
Pattern Recognit., 2025

Unsupervised domain adaptation with multi-level distillation boost and adaptive mask for medical image segmentation.
Comput. Biol. Medicine, 2025

Interpretable Image Classification via Non-parametric Part Prototype Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

GRPose: Learning Graph Relations for Human Image Generation with Pose Priors.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
AV4GAInsp: An Efficient Dual-Camera System for Identifying Defective Kernels of Cereal Grains.
IEEE Robotics Autom. Lett., January, 2024

Deep Learning for Histopathology Whole Slide Image Analysis.
PhD thesis, 2024

Revitalizing Reconstruction Models for Multi-class Anomaly Detection via Class-Aware Contrastive Learning.
CoRR, 2024

GRPose: Learning Graph Relations for Human Image Generation with Pose Priors.
CoRR, 2024

An annotated grain kernel image database for visual quality inspection.
CoRR, 2024

Boundary-Guided Learning for Gene Expression Prediction in Spatial Transcriptomics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency.
IEEE Trans. Medical Imaging, May, 2023

Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Enhancing feature fusion with spatial aggregation and channel fusion for semantic segmentation.
IET Comput. Vis., 2021

Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Energy management strategy for electric vehicles based on deep Q-learning using Bayesian optimization.
Neural Comput. Appl., 2020

2019
Encoder-decoder with double spatial pyramid for semantic segmentation.
J. Electronic Imaging, 2019

A Novel Torque Distribution Strategy Based on Deep Recurrent Neural Network for Parallel Hybrid Electric Vehicle.
IEEE Access, 2019

A New Semantic Segmentation Model for Supplementing More Spatial Information.
IEEE Access, 2019

2018
Exploring New Backbone and Attention Module for Semantic Segmentation in Street Scenes.
IEEE Access, 2018

Semantic Segmentation With Global Encoding and Dilated Decoder in Street Scenes.
IEEE Access, 2018


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