Hongxia Xu

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

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Bibliography

2025
Sufficient dimension reduction in the presence of controlling variable and missing multivariate response.
Commun. Stat. Simul. Comput., July, 2025

Truncated composite quantile regression with covariates measurement errors.
Commun. Stat. Simul. Comput., July, 2025

Mitigating Hallucination of Large Vision-Language Models via Dynamic Logits Calibration.
CoRR, June, 2025

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning.
CoRR, June, 2025

STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset.
CoRR, June, 2025

Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading.
CoRR, May, 2025

Matrix Factorization with Dynamic Multi-view Clustering for Recommender System.
CoRR, April, 2025

ProtFlow: Fast Protein Sequence Design via Flow Matching on Compressed Protein Language Model Embeddings.
CoRR, April, 2025

OrderChain: A General Prompting Paradigm to Improve Ordinal Understanding Ability of MLLM.
CoRR, April, 2025

RTAEI: Robust Tabular Autoencoder Interpolator to Gastric Cancer Innovative Detection for Deep Learning Empowered Healthcare Electronics.
IEEE Trans. Consumer Electron., February, 2025

SwinBTC: Transfer Learning to Brain Tumor Classification for Healthcare Electronics Using Augmented MR Images.
IEEE Trans. Consumer Electron., February, 2025

Generation of Drug-Induced Cardiac Reactions towards Virtual Clinical Trials.
CoRR, February, 2025

OmniFuse: A general modality fusion framework for multi-modality learning on low-quality medical data.
Inf. Fusion, 2025

Advancing interpretable cardiac disease diagnosis via a transformer-convolutional hybrid network on electrocardiograms.
Eng. Appl. Artif. Intell., 2025

Reason from Future: Reverse Thought Chain Enhances LLM Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Few-shot segmentation based on multi-level and cross-scale clustering.
Connect. Sci., December, 2024

A Joint Mask-Augmented Adaptive Scale Alignment and Periodicity-Aware Method for Cardiac Function Assessment in Healthcare Consumer Electronics.
IEEE Trans. Consumer Electron., November, 2024

Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images With Bounding Box Supervision.
IEEE J. Biomed. Health Informatics, August, 2024

Self-adaptive henry gas solubility optimizer for identification of solid oxide fuel cell.
Evol. Syst., February, 2024

New techniques to identify the tissue of origin for cancer of unknown primary in the era of precision medicine: progress and challenges.
Briefings Bioinform., January, 2024

Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning.
Inf. Sci., 2024

DPML: Prior-guided multitask learning for dental object recognition on limited panoramic radiograph dataset.
Expert Syst. Appl., 2024

Take Your Steps: Hierarchically Efficient Pulmonary Disease Screening via CT Volume Compression.
CoRR, 2024

S<sup>2</sup>ALM: Sequence-Structure Pre-trained Large Language Model for Comprehensive Antibody Representation Learning.
CoRR, 2024

MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule Network.
CoRR, 2024

Multi-Modal CLIP-Informed Protein Editing.
CoRR, 2024

TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets.
CoRR, 2024

TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model.
CoRR, 2024

Unraveling Babel: Exploring Multilingual Activation Patterns within Large Language Models.
CoRR, 2024

Generative AI for Controllable Protein Sequence Design: A Survey.
CoRR, 2024

Multimodal Clinical Trial Outcome Prediction with Large Language Models.
CoRR, 2024

Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

KA<sup>2</sup>ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation.
Proceedings of the Comprehensive Analysis and Computing of Real-World Medical Images, 2024

Risk Prediction of Lower Respiratory Tract Hospital-Acquired Infections Based on Electronic Health Record Data.
Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science, 2024

Making Pre-trained Language Models Great on Tabular Prediction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Multi-rater Prompting for Ambiguous Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2022
Neuroimaging-ITM: A Text Mining Pipeline Combining Deep Adversarial Learning with Interaction Based Topic Modeling for Enabling the FAIR Neuroimaging Study.
Neuroinformatics, 2022

Single-Index Quantile Regression with Left Truncated Data.
J. Syst. Sci. Complex., 2022

EmergEventMine: End-to-End Chinese Emergency Event Extraction Using a Deep Adversarial Network.
ISPRS Int. J. Geo Inf., 2022

A Special Multivariate Polynomial Model for Diabetes Prediction and Analysis.
Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences, 2022

2021
EEG Seizure Prediction Based on Empirical Mode Decomposition and Convolutional Neural Network.
Proceedings of the Brain Informatics - 14th International Conference, 2021

2020
Predictive Modeling of Diabetic Kidney Disease using Random Forest Algorithm along with Features Selection.
Proceedings of the ISAIMS 2020: International Symposium on Artificial Intelligence in Medical Sciences, 2020

A Prediction Model of Gestational Diabetes Mellitus Based on First Pregnancy Test Index.
Proceedings of the Health Information Science - 9th International Conference, 2020

Terminology extraction in the field of water environment based on rules and statistics.
Proceedings of the CIPAE 2020: 2020 International Conference on Computers, 2020

Research on Named Entity Recognition in Chinese EMR Based on Semi-Supervised Learning with Dual Selected Strategy.
Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2019
Establishment of Risk Prediction Model for Retinopathy in Type 2 Diabetic Patients.
Proceedings of the Brain Informatics - 12th International Conference, 2019

2018
Pathway-structured predictive modeling for multi-level drug response in multiple myeloma.
Bioinform., 2018

2017
Emotion Recognition from EEG Using Rhythm Synchronization Patterns with Joint Time-Frequency-Space Correlation.
Proceedings of the Brain Informatics - International Conference, 2017

2016
A Domain-Driven Literature Retrieval Method for Systematic Brain Informatics.
Proceedings of the Brain Informatics and Health - International Conference, 2016

2013
Diffusion in Relatively Homogeneous Sand Columns: A Scale-Dependent or Scale-Independent Process?
Entropy, 2013

2011
Three Levels Intelligent Incident Detection Algorithm of Smart Traffic in the Digital City.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011


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