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Mingxuan Liu

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

Bibliography

2026

Tabular Foundation Model for Generative Modelling.

[DOI]

Xiangjian Jiang

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Nikola Simidjievski

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CoRR, May, 2026

Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases.

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Cosmin I. Bercea

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Julia A. Schnabel

CoRR, April, 2026

PReD: An LLM-based Foundation Multimodal Model for Electromagnetic Perception, Recognition, and Decision.

[DOI]

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Chenghanyu Zhang

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CoRR, March, 2026

SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models.

[DOI]

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Ming-Hsuan Yang

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CoRR, March, 2026

The Mask of Civility: Benchmarking Chinese Mock Politeness Comprehension in Large Language Models.

[DOI]

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CoRR, February, 2026

Earning in Secrecy: Understanding the Revenue-per-Traffic Services in PCDN Network.

[DOI]

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IEEE Trans. Netw. Sci. Eng., 2026

Playing Through the Pandemic: Gaming Usage as a Buffer During COVID-19.

[DOI]

Dmitri Williams

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Nicholas David Bowman

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Sonia Jawaid Shaikh

Games Cult., 2026

Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding.

[DOI]

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Rossella Arcucci

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Cosmin I. Bercea

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Julia A. Schnabel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

View-Conditioned Semi-Supervised Learning for Fetal Cardiac Ultrasound Analysis.

[DOI]

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Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Pansharpening for Thin-Cloud Contaminated Remote Sensing Images: A Unified Framework and Benchmark Dataset.

[DOI]

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Changjing Shang

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Equitable Survival Prediction: A Fairness-Aware Survival Modeling (FASM) Approach.

[DOI]

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Matthew Engelhard

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Danielle S. Bitterman

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William G. La Cava

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CoRR, October, 2025

UrbanVerse: Scaling Urban Simulation by Watching City-Tour Videos.

[DOI]

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CoRR, October, 2025

Beyond hospital reach: Autonomous lightweight ultrasound robot for liver sonography.

[DOI]

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CoRR, October, 2025

Test-time Vocabulary Adaptation for Language-driven Object Detection.

[DOI]

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Massimiliano Mancini

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Gabriela Csurka

CoRR, June, 2025

Classifying aquatic organism via evolving residual convolutional neural networks by optimized random vector functional link.

[DOI]

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Multim. Tools Appl., January, 2025

Deep survival analysis from adult and pediatric electrocardiograms: a multi-center benchmark study.

[DOI]

Platon Lukyanenko

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Joshua Mayourian

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John K. Triedman

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Sunil J. Ghelani

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William G. La Cava

BioData Min., 2025

Development and Effectiveness of a Generative Virtual Clinical Decision-Making Training System to Optimize Clinical Decision-Making Ability of Nursing Students: A Randomized, Controlled, Proof-of-Concept Trial.

[DOI]

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Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

Superpowering Open-Vocabulary Object Detectors for X-ray Vision.

[DOI]

Pablo Garcia-Fernandez

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Lorenzo Vaquero

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Manuel Mucientes

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Container Workload Prediction Using Deep Domain Adaptation in Transfer Learning.

[DOI]

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Proceedings of the Euro-Par 2025: Parallel Processing, 2025

2024

LDnADMM-Net: A Denoising Unfolded Deep Neural Network for Direction-of-Arrival Estimations in A Low Signal-to-Noise Ratio.

[DOI]

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Remote. Sens., February, 2024

Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition.

[DOI]

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Frontiers Comput. Neurosci., 2024

A Plug-and-Play Temporal Normalization Module for Robust Remote Photoplethysmography.

[DOI]

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CoRR, 2024

Organizing Unstructured Image Collections using Natural Language.

[DOI]

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CoRR, 2024

Benchmarking mortality risk prediction from electrocardiograms.

[DOI]

Platon Lukyanenko

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Joshua Mayourian

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John K. Triedman

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Sunil J. Ghelani

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William G. La Cava

CoRR, 2024

Large-Scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery.

[DOI]

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Proceedings of the Pattern Recognition - 27th International Conference, 2024

Democratizing Fine-grained Visual Recognition with Large Language Models.

[DOI]

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

SHiNe: Semantic Hierarchy Nexus for Open-Vocabulary Object Detection.

[DOI]

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Gabriela Csurka

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

An Empirical Study of the Effect of Background Data Size on the Stability of SHapley Additive exPlanations (SHAP) for Deep Learning Models.

[DOI]

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Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Class-Incremental Novel Class Discovery.

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Proceedings of the Computer Vision - ECCV 2022, 2022

Chinese Medicine Tongue Recognition under Data Scarcity Based on the Xingbaohui Platform.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020

A Top-Down Binary Hierarchical Topic Model for Biomedical Literature.

[DOI]

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IEEE Access, 2020

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