Hongxiao Wang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Cell Instance Segmentation: The Devil Is in the Boundaries.
IEEE Trans. Medical Imaging, April, 2026

Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence.
CoRR, January, 2026

Lether: Practical Post-Quantum Account-Based Private Blockchain Payments.
IACR Cryptol. ePrint Arch., 2026

Mapping Heterogeneity in Psychological Risk Among University Students Using Explainable Machine Learning.
Entropy, 2026

A Practical Neighborhood Search Attack on Oracle MLWE.
IACR Commun. Cryptol., 2026

Preserving Topological and Geometric Embeddings for Point Cloud Recovery.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
FlowRoI A Fast Optical Flow Driven Region of Interest Extraction Framework for High-Throughput Image Compression in Immune Cell Migration Analysis.
CoRR, November, 2025

Optimal Transport and Central Moment Consistency Regularization for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, August, 2025

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis.
CoRR, August, 2025

Diff-CL: A Novel Cross Pseudo-Supervision Method for Semi-supervised Medical Image Segmentation.
CoRR, March, 2025

GIGP: A Global Information Interacting and Geometric Priors Focusing Framework for Semi-supervised Medical Image Segmentation.
CoRR, March, 2025

Post-Quantum Multi-Message Public Key Encryption from Extended Reproducible PKE.
IACR Cryptol. ePrint Arch., 2025

Obstacle Avoidance Path Planning for Delta Robots Based on Digital Twin and Deep Reinforcement Learning.
Comput. Mater. Continua, 2025

TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024
Lattice-Based Succinct Mercurial Functional Commitment for Circuits: Definitions and Constructions.
IACR Cryptol. ePrint Arch., 2024

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

EEG power spectra parameterization and adaptive channel selection towards semi-supervised seizure prediction.
Comput. Biol. Medicine, 2024

PHG-Net: Persistent Homology Guided Medical Image Classification<sup>*</sup>.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Communication-Efficient Secure Neural Network via Key-Reduced Distributed Comparison Function.
Proceedings of the Provable and Practical Security, 2024

Updatable, Aggregatable, Succinct Mercurial Vector Commitment from Lattice.
Proceedings of the Public-Key Cryptography - PKC 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

Lattice-Based Succinct Mercurial Functional Commitment for Boolean Circuits: Definitions, and Constructions.
Proceedings of the Information Security and Cryptology - 20th International Conference, 2024

2023
CCF-GNN: A Unified Model Aggregating Appearance, Microenvironment, and Topology for Pathology Image Classification.
IEEE Trans. Medical Imaging, November, 2023

Design of Twin Builder-Based Digital Twin Online Monitoring System for Crane Girders.
Sensors, November, 2023

TANGO: A GO-Term Embedding Based Method for Protein Semantic Similarity Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

FssNN: Communication-Efficient Secure Neural Network Training via Function Secret Sharing.
IACR Cryptol. ePrint Arch., 2023

PHG-Net: Persistent Homology Guided Medical Image Classification.
CoRR, 2023

Privacy-Preserving Distributed Machine Learning Made Faster.
Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems Workshop, 2023

SFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning Based on MKTFHE.
Proceedings of the Mobile Internet Security - 7th International Conference, 2023

2022
Securer and Faster Privacy-Preserving Distributed Machine Learning.
CoRR, 2022

Efficient Mixed-Protocol Secure Four-Party Computation with Private Robustness.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

2021
Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
A Coarse-to-Fine Data Generation Method for 2D and 3D Cell Nucleus Segmentation.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 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

Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
DeepRisk: A Deep Transfer Learning Approach to Migratable Traffic Risk Estimation in Intelligent Transportation Using Social Sensing.
Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

RiskCast: social sensing based traffic risk forecasting via inductive multi-view learning.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2008
Motion estimation approach based on dual-tree complex wavelets.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008


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