Hongxia Xu

According to our database, Hongxia Xu authored at least 34 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Few-shot segmentation based on multi-level and cross-scale clustering.

Shuai Yuan, Junhai Qiu, Hongxia Xu, Yan Zhang, Jiaxing Zhang

Connect. Sci., December, 2024

Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images With Bounding Box Supervision.

Wenhao Zheng, Jintai Chen, Kai Zhang, Jiahuan Yan, Jinhong Wang, Yi Cheng, Bang Du, Danny Z. Chen, Honghao Gao, Jian Wu, Hongxia Xu

IEEE J. Biomed. Health Informatics, August, 2024

Self-adaptive henry gas solubility optimizer for identification of solid oxide fuel cell.

Hongxia Xu, Navid Razmjooy

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.

Wenyuan Ma, Hui Wu, Yiran Chen, Hongxia Xu, Junjie Jiang, Bang Du, Mingyu Wan, Xiaolu Ma, Xiaoyu Chen, Lili Lin, Xinhui Su, Xuanwen Bao, Yifei Shen, Nong Xu, Jian Ruan, Haiping Jiang, Yongfeng Ding

Briefings Bioinform., January, 2024

Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning.

Shangde Gao, Yichao Fu, Ke Liu, Wei Gao, Hongxia Xu, Jian Wu, Yuqiang Han

Inf. Sci., 2024

DPML: Prior-guided multitask learning for dental object recognition on limited panoramic radiograph dataset.

Zheng Cao, Chengyu Feng, Yefeng Shen, Guanchen Ye, Hongxia Xu, Jian Wu, Zhendong Wu, Honghao Gao, Haihua Zhu

Expert Syst. Appl., 2024

KA²ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation.

Shangde Gao, Yichao Fu, Ke Liu, Hongxia Xu, Jian Wu

CoRR, 2024

Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection.

Qian Shao, Jiangrui Kang, Qiyuan Chen, Zepeng Li, Hongxia Xu, Yiwen Cao, Jiajuan Liang, Jian Wu

CoRR, 2024

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

Yinlong Xu, Xiaoqiang Liu, Zitai Kong, Yixuan Wu, Yue Wang, Yingzhou Lu, Honghao Gao, Jian Wu, Hongxia Xu

CoRR, 2024

Multi-Modal CLIP-Informed Protein Editing.

Mingze Yin, Hanjing Zhou, Yiheng Zhu, Miao Lin, Yixuan Wu, Jialu Wu, Hongxia Xu, Chang-Yu Hsieh, Tingjun Hou, Jintai Chen, Jian Wu

CoRR, 2024

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

Jintai Chen, Yaojun Hu, Yue Wang, Yingzhou Lu, Xu Cao, Miao Lin, Hongxia Xu, Jian Wu, Cao Xiao, Jimeng Sun, Lucas Glass, Kexin Huang, Marinka Zitnik, Tianfan Fu

CoRR, 2024

Multi-rater Prompting for Ambiguous Medical Image Segmentation.

Jinhong Wang, Yi Cheng, Jintai Chen, Hongxia Xu, Danny Ziyi Chen, Jian Wu

CoRR, 2024

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

Yue Wang, Yingzhou Lu, Yinlong Xu, Zihan Ma, Hongxia Xu, Bang Du, Honghao Gao, Jian Wu

CoRR, 2024

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

Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu

CoRR, 2024

Generative AI for Controllable Protein Sequence Design: A Survey.

Yiheng Zhu, Zitai Kong, Jialu Wu, Weize Liu, Yuqiang Han, Mingze Yin, Hongxia Xu, Chang-Yu Hsieh, Tingjun Hou

CoRR, 2024

Multimodal Clinical Trial Outcome Prediction with Large Language Models.

Wenhao Zheng, Dongsheng Peng, Hongxia Xu, Hongtu Zhu, Tianfan Fu, Huaxiu Yao

CoRR, 2024

Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models.

Weize Liu, Guocong Li, Kai Zhang, Bang Du, Qiyuan Chen, Xuming Hu, Hongxia Xu, Jintai Chen, Jian Wu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Making Pre-trained Language Models Great on Tabular Prediction.

Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Z. Chen, Jimeng Sun, Jian Wu, Jintai Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications.

Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022

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

Jianzhuo Yan, Lihong Chen, Yongchuan Yu, Hongxia Xu, Zhe Xu, Ying Sheng, Jianhui Chen

Neuroinformatics, 2022

Single-Index Quantile Regression with Left Truncated Data.

Hongxia Xu, Guoliang Fan, Jinchang Li

J. Syst. Sci. Complex., 2022

EmergEventMine: End-to-End Chinese Emergency Event Extraction Using a Deep Adversarial Network.

Jianzhuo Yan, Lihong Chen, Yongchuan Yu, Hongxia Xu, Qingcai Gao, Kunpeng Cao, Jianhui Chen

ISPRS Int. J. Geo Inf., 2022

A Special Multivariate Polynomial Model for Diabetes Prediction and Analysis.

Fumin Wang, Jianzhuo Yan, Hongxia Xu

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.

Jianzhuo Yan, Jinnan Li, Hongxia Xu, Yongchuan Yu, Lexin Pan, Xuerui Cheng, Shaofeng Tan

Proceedings of the Brain Informatics - 14th International Conference, 2021

2020

Predictive Modeling of Diabetic Kidney Disease using Random Forest Algorithm along with Features Selection.

Hongxia Xu, Yonghui Kong, Shaofeng Tan

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.

Jianzhuo Yan, Yanan Geng, Hongxia Xu, Shaofeng Tan, Dongdong He, Yongchuan Yu, Sinuo Deng, Xiaoxue Du

Proceedings of the Health Information Science - 9th International Conference, 2020

Terminology extraction in the field of water environment based on rules and statistics.

Jianzhuo Yan, Yun Qin, Yongchuan Yu, Hongxia Xu

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.

Jianzhuo Yan, Yanan Geng, Hongxia Xu, Yongchuan Yu, Shaofeng Tan, Dongdong He

Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2019

Establishment of Risk Prediction Model for Retinopathy in Type 2 Diabetic Patients.

Jianzhuo Yan, Xiaoxue Du, Yongchuan Yu, Hongxia Xu

Proceedings of the Brain Informatics - 12th International Conference, 2019

2018

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

Xinyan Zhang, Bingzong Li, Huiying Han, Sha Song, Hongxia Xu, Zixuan Yi, Yating Hong, Wenzhuo Zhuang, Nengjun Yi

Bioinform., 2018

2017

Emotion Recognition from EEG Using Rhythm Synchronization Patterns with Joint Time-Frequency-Space Correlation.

Hongzhi Kuai, Hongxia Xu, Jianzhuo Yan

Proceedings of the Brain Informatics - International Conference, 2017

2016

A Domain-Driven Literature Retrieval Method for Systematic Brain Informatics.

Wenjin Sheng, Hongxia Xu, Jianzhuo Yan, Jianhui Chen, Bin Shi, Dongsheng Wang, Hongzhi Kuai, Ningning Wang

Proceedings of the Brain Informatics and Health - International Conference, 2016

2013

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

Yong Zhang, Hongxia Xu, Xueyan Lv, Jichun Wu

Entropy, 2013

2011

Three Levels Intelligent Incident Detection Algorithm of Smart Traffic in the Digital City.

Hongyan Yan, Xiaojuan Zhang, Hongxia Xu

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011