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 59 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Energy-Efficient Federated Learning With Dynamic Model Pruning for Industrial IoT.
IEEE Trans. Ind. Informatics, May, 2026

CogPortrait: Fine-Grained Eye-Region Control in Portrait Animation via Hierarchical Agent Planning.
CoRR, May, 2026

Sentinel-VLA: A Metacognitive VLA Model with Active Status Monitoring for Dynamic Reasoning and Error Recovery.
CoRR, May, 2026

Chain of World: World Model Thinking in Latent Motion.
CoRR, March, 2026

FOCA: Frequency-Oriented Cross-Domain Forgery Detection, Localization and Explanation via Multi-Modal Large Language Model.
CoRR, February, 2026

Visual Prompt-Agnostic Evolution.
CoRR, January, 2026

Noise-aware cross attention for image manipulation localization.
Pattern Recognit., 2026

Learning priority-aware controllable poster layout generation.
Pattern Recognit., 2026

M 3 Surv : Fusing Multi-slide and Multi-omics for Memory-augmented robust Survival prediction.
Medical Image Anal., 2026

Medical hierarchical image classification via dual-geometry image-text learning.
Medical Image Anal., 2026

Slide-aware deep feature prompting for enhanced whole slide image classification.
Expert Syst. Appl., 2026

OSTE: Omni-Scene Text Editing with Latent Decoupling.
Comput. Vis. Image Underst., 2026

DiTalker: A unified DiT-based framework for high-quality and style-controllable portrait animation.
Comput. Vis. Image Underst., 2026

Flexible Concept Bottleneck Model.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
ADNet: A Large-Scale and Extensible Multi-Domain Benchmark for Anomaly Detection Across 380 Real-World Categories.
CoRR, November, 2025

One Dinomaly2 Detect Them All: A Unified Framework for Full-Spectrum Unsupervised Anomaly Detection.
CoRR, October, 2025

DiTalker: A Unified DiT-based Framework for High-Quality and Speaking Styles Controllable Portrait Animation.
CoRR, August, 2025

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

Learning Frequency-Domain Fusion for Multimodal Remote Sensing Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 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

GAOT: Generating Articulated Objects Through Text-Guided Diffusion Models.
Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

SAGE: A Visual Language Model for Anomaly Detection via Fact Enhancement and Entropy-aware Alignment.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

LLaPa: A Vision-Language Model Framework for Counterfactual-Aware Procedural Planning.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Spatially Gene Expression Prediction Using Dual-Scale Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Global-Local Aware Scene Text Editing.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

EFDiT: Efficient Fine-grained Image Generation Using Diffusion Transformer Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DH-FaceVid-1K: A Large-Scale High-Quality Dataset for Face Video Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Cross-Stain Contrastive Learning for Paired Immunohistochemistry and Histopathology Slide Representation Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

GRPose: Learning Graph Relations for Human Image Generation with Pose Priors.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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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