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2020 – today
- 2024
[j11]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:
New techniques to identify the tissue of origin for cancer of unknown primary in the era of precision medicine: progress and challenges. Briefings Bioinform. 25(2) (2024)- [j10]Shuai Yuan, Junhai Qiu, Hongxia Xu, Yan Zhang, Jiaxing Zhang:
Few-shot segmentation based on multi-level and cross-scale clustering. Connect. Sci. 36(1) (2024) - [j9]Zheng Cao, Chengyu Feng, Yefeng Shen, Guanchen Ye, Hongxia Xu, Jian Wu, Zhendong Wu, Honghao Gao, Haihua Zhu:
DPML: Prior-guided multitask learning for dental object recognition on limited panoramic radiograph dataset. Expert Syst. Appl. 254: 124446 (2024) - [j8]Hongxia Xu, Navid Razmjooy:
Self-adaptive henry gas solubility optimizer for identification of solid oxide fuel cell. Evol. Syst. 15(1): 133-151 (2024) - [j7]Shangde Gao, Yichao Fu, Ke Liu, Wei Gao, Hongxia Xu, Jian Wu, Yuqiang Han:
Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning. Inf. Sci. 669: 120564 (2024) - [j6]Wenhao Zheng, Jintai Chen, Kai Zhang, Jiahuan Yan, Jinhong Wang, Yi Cheng, Bang Du, Danny Z. Chen, Honghao Gao, Jian Wu, Hongxia Xu:
Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images With Bounding Box Supervision. IEEE J. Biomed. Health Informatics 28(8): 4522-4533 (2024) - [c13]Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu:
Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications. EMNLP 2024: 11855-11881 - [c12]Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Z. Chen, Jimeng Sun, Jian Wu, Jintai Chen:
Making Pre-trained Language Models Great on Tabular Prediction. ICLR 2024 - [c11]Weize Liu, Guocong Li, Kai Zhang, Bang Du, Qiyuan Chen, Xuming Hu, Hongxia Xu, Jintai Chen, Jian Wu:
Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models. NAACL-HLT 2024: 6748-6763 - [i11]Wenhao Zheng, Dongsheng Peng, Hongxia Xu, Hongtu Zhu, Tianfan Fu, Huaxiu Yao:
Multimodal Clinical Trial Outcome Prediction with Large Language Models. CoRR abs/2402.06512 (2024) - [i10]Yiheng Zhu, Zitai Kong, Jialu Wu, Weize Liu, Yuqiang Han, Mingze Yin, Hongxia Xu, Chang-Yu Hsieh, Tingjun Hou:
Generative AI for Controllable Protein Sequence Design: A Survey. CoRR abs/2402.10516 (2024) - [i9]Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu:
Unraveling Babel: Exploring Multilingual Activation Patterns within Large Language Models. CoRR abs/2402.16367 (2024) - [i8]Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Z. Chen, Jimeng Sun, Jian Wu, Jintai Chen:
Making Pre-trained Language Models Great on Tabular Prediction. CoRR abs/2403.01841 (2024) - [i7]Yue Wang, Yingzhou Lu, Yinlong Xu, Zihan Ma, Hongxia Xu, Bang Du, Honghao Gao, Jian Wu:
TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model. CoRR abs/2404.01273 (2024) - [i6]Jinhong Wang, Yi Cheng, Jintai Chen, Hongxia Xu, Danny Ziyi Chen, Jian Wu:
Multi-rater Prompting for Ambiguous Medical Image Segmentation. CoRR abs/2404.07580 (2024) - [i5]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:
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets. CoRR abs/2407.00631 (2024) - [i4]Mingze Yin, Hanjing Zhou, Yiheng Zhu, Miao Lin, Yixuan Wu, Jialu Wu, Hongxia Xu, Chang-Yu Hsieh, Tingjun Hou, Jintai Chen, Jian Wu:
Multi-Modal CLIP-Informed Protein Editing. CoRR abs/2407.19296 (2024) - [i3]Yinlong Xu, Xiaoqiang Liu, Zitai Kong, Yixuan Wu, Yue Wang, Yingzhou Lu, Honghao Gao, Jian Wu, Hongxia Xu:
MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule Network. CoRR abs/2407.20893 (2024) - [i2]Qian Shao, Jiangrui Kang, Qiyuan Chen, Zepeng Li, Hongxia Xu, Yiwen Cao, Jiajuan Liang, Jian Wu:
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection. CoRR abs/2409.11653 (2024) - 2023
- [i1]Weize Liu, Guocong Li, Kai Zhang, Bang Du, Qiyuan Chen, Xuming Hu, Hongxia Xu, Jintai Chen, Jian Wu:
Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models. CoRR abs/2311.09214 (2023) - 2022
- [j5]Jianzhuo Yan, Lihong Chen, Yongchuan Yu, Hongxia Xu, Qingcai Gao, Kunpeng Cao, Jianhui Chen:
EmergEventMine: End-to-End Chinese Emergency Event Extraction Using a Deep Adversarial Network. ISPRS Int. J. Geo Inf. 11(6): 345 (2022) - [j4]Hongxia Xu, Guoliang Fan, Jinchang Li:
Single-Index Quantile Regression with Left Truncated Data. J. Syst. Sci. Complex. 35(5): 1963-1987 (2022) - [j3]Jianzhuo Yan, Lihong Chen, Yongchuan Yu, Hongxia Xu, Zhe Xu, Ying Sheng, Jianhui Chen:
Neuroimaging-ITM: A Text Mining Pipeline Combining Deep Adversarial Learning with Interaction Based Topic Modeling for Enabling the FAIR Neuroimaging Study. Neuroinformatics 20(3): 701-726 (2022) - [c10]Fumin Wang, Jianzhuo Yan, Hongxia Xu:
A Special Multivariate Polynomial Model for Diabetes Prediction and Analysis. ISAIMS 2022: 302-306 - 2021
- [c9]Jianzhuo Yan, Jinnan Li, Hongxia Xu, Yongchuan Yu, Lexin Pan, Xuerui Cheng, Shaofeng Tan:
EEG Seizure Prediction Based on Empirical Mode Decomposition and Convolutional Neural Network. BI 2021: 463-473 - 2020
- [c8]Jianzhuo Yan, Yanan Geng, Hongxia Xu, Yongchuan Yu, Shaofeng Tan, Dongdong He:
Research on Named Entity Recognition in Chinese EMR Based on Semi-Supervised Learning with Dual Selected Strategy. ACAI 2020: 80:1-80:10 - [c7]Jianzhuo Yan, Yun Qin, Yongchuan Yu, Hongxia Xu:
Terminology extraction in the field of water environment based on rules and statistics. CIPAE 2020: 144-147 - [c6]Jianzhuo Yan, Yanan Geng, Hongxia Xu, Shaofeng Tan, Dongdong He, Yongchuan Yu, Sinuo Deng, Xiaoxue Du:
A Prediction Model of Gestational Diabetes Mellitus Based on First Pregnancy Test Index. HIS 2020: 121-132 - [c5]Hongxia Xu, Yonghui Kong, Shaofeng Tan:
Predictive Modeling of Diabetic Kidney Disease using Random Forest Algorithm along with Features Selection. ISAIMS 2020: 23-27
2010 – 2019
- 2019
- [c4]Jianzhuo Yan, Xiaoxue Du, Yongchuan Yu, Hongxia Xu:
Establishment of Risk Prediction Model for Retinopathy in Type 2 Diabetic Patients. BI 2019: 233-243 - 2018
- [j2]Xinyan Zhang, Bingzong Li, Huiying Han, Sha Song, Hongxia Xu, Zixuan Yi, Yating Hong, Wenzhuo Zhuang, Nengjun Yi:
Pathway-structured predictive modeling for multi-level drug response in multiple myeloma. Bioinform. 34(21): 3609-3615 (2018) - 2017
- [c3]Hongzhi Kuai, Hongxia Xu, Jianzhuo Yan:
Emotion Recognition from EEG Using Rhythm Synchronization Patterns with Joint Time-Frequency-Space Correlation. BI 2017: 159-168 - 2016
- [c2]Wenjin Sheng, Hongxia Xu, Jianzhuo Yan, Jianhui Chen, Bin Shi, Dongsheng Wang, Hongzhi Kuai, Ningning Wang:
A Domain-Driven Literature Retrieval Method for Systematic Brain Informatics. BIH 2016: 181-189 - 2013
- [j1]Yong Zhang, Hongxia Xu, Xueyan Lv, Jichun Wu:
Diffusion in Relatively Homogeneous Sand Columns: A Scale-Dependent or Scale-Independent Process? Entropy 15(10): 4376-4391 (2013) - 2011
- [c1]Hongyan Yan, Xiaojuan Zhang, Hongxia Xu:
Three Levels Intelligent Incident Detection Algorithm of Smart Traffic in the Digital City. ICIC (2) 2011: 260-266
Coauthor Index
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last updated on 2024-11-18 21:49 CET by the dblp team
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