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2020 – today
- 2027
[j32]Qi Wang
, Hongxia Xu, Shangde Gao, Shangyun Xia, Lingchao Chen, Honghao Gao:
Bridging global context and directional anisotropy: A synergistic Mamba-AFF framework for 3D brain tumor segmentation. Expert Syst. Appl. 332: 133536 (2027)- 2026
- [j31]Panpan Qiu, Jianzhuo Yan, Hongxia Xu, Yongchuan Yu:
LKG-STNet: A large language model-assisted knowledge graph-guided spatiotemporal network for aero-engine remaining useful life prediction. Adv. Eng. Informatics 75: 104808 (2026) - [j30]Panpan Qiu, Jianzhuo Yan, Yongchuan Yu, Hongxia Xu:
Hierarchical spatio-temporal dynamic dependency learning for multivariate operating status prediction of pump station units. Comput. Ind. Eng. 213: 111796 (2026) - [j29]Xilin Zhang, Hongxia Xu, Guoliang Fan, Liping Zhu:
Conditional independence test in factor models via projection correlation. Comput. Stat. Data Anal. 218: 108339 (2026) - [j28]Chen Zhang, Ge Su, Huaxiao Zhou, Lu Hao, Feng Zhu, Jintai Chen, Yuxiang Cai, Jianwei Yin, Hongxia Xu:
Federated Learning Meets Test-Time Adaptation: Methods, Challenges, and Future Directions. Int. J. Comput. Vis. 134(8): 361 (2026) - [j27]Donghai Zhao, Yuchen Zhu, Zhenxing Wu, Yue Wan, Xiaonan Liu, Shuaiyan Li, Hongxia Xu, Tingjun Hou, Chang-Yu Hsieh:
Revisiting ADMET prediction reliability under real-world challenges in the foundation model era. J. Cheminformatics 18(1): 95 (2026) - [j26]Feng Luo, Hongxia Xu, Guoliang Fan, Liping Zhu:
Ultra-high dimensional semiparametric dynamic high-order spatial autoregressive models. J. Multivar. Anal. 211: 105516 (2026) - [j25]Bingtao Guan, Shangde Gao, Dawei Zheng, Haoxiang Xia, Zhiyuan Wu, Jian Wu, Hongxia Xu:
LLM-SDaT: A knowledge-informed LLM framework for syndrome differentiation in TCM. Neural Networks 200: 108812 (2026) - [j24]Yiqun Fan, Bang Du, Kaiyue Pu, Yongji Sun, Changming Lv, Sien Hu, Tianyu Song, Ruijia Wu, Ying Chen, Jinlong Tang, Yuanli Zhong, Wangkun Bian, Jian Wu, Hui Zhang, Yuan Ding, Hongxia Xu, Yulian Wu, Xiawei Li:
Noninvasive evaluation and clinical value prediction of tumor-infiltrating neutrophil-to-T-cell ratio in pancreatic ductal adenocarcinoma. npj Digit. Medicine 9(1) (2026) - [j23]Hongxia Xu, Mengrui Feng, Jiangfeng Wang, Liping Zhu:
Empirical likelihood for partially linear functional-coefficient autoregressive errors-in-variables models. Stat. Comput. 36(1): 51 (2026) - [j22]Yinlong Xu, Zitai Kong, Yixuan Wu, Yue Wang, Xiaoqiang Liu, Yingzhou Lu, Jian Wu, Hongxia Xu:
MambaCapsule: Toward Transparent Cardiac Disease Diagnosis With Electrocardiography Using Mamba Capsule Network. IEEE Trans. Comput. Soc. Syst. 13(4): 5400-5413 (2026) - [j21]Hongwei Zeng, Fang Zhao, Lingchao Chen, Hongxia Xu, Honghao Gao, Bader Fahad Alkhamees:
GMRNet: Deep Residual Network-Based Radiopathomic Glioma Classification with the Fusion of Multi-omics Data. ACM Trans. Multim. Comput. Commun. Appl. 22(6): 158:1-158:23 (2026) - [c30]Yifei Sun, Yuzhi He, Junhao Jia, Jinhong Wang, Ruiquan Ge, Changmiao Wang, Hongxia Xu:
WDT-MD: Wavelet Diffusion Transformers for Microaneurysm Detection in Fundus Images. AAAI 2026: 9242-9250 - [c29]Minghu Wang, Shuliang Zhao, Yuanyuan Zhao, Hongxia Xu:
ALEX: A Light Editing-knowledge Extractor. AAAI 2026: 33602-33610 - [c28]Qiyuan Chen, Hongsen Huang, Jiahe Chen, Qian Shao, Jintai Chen, Hongxia Xu, Renjie Hua, Ren Chuan, Jian Wu:
Learning What Matters: Dynamic Dimension Selection and Aggregation for Interpretable Vision-Language Reward Modeling. ACL (1) 2026: 19779-19792 - [c27]Guocong Li, Qirui Hu, Ping Wang, Guofeng Zhang, Jian Wu, Hongxia Xu:
Debate-of-Thoughts: Resolving Knowledge Conflicts in LLMs Through Internal Deliberation. ACL (1) 2026: 35674-35696 - [i35]Anglin Liu, Ruichao Chen, Yi Lu, Hongxia Xu, Jintai Chen:
Med-Scout: Curing MLLMs' Geometric Blindness in Medical Perception via Geometry-Aware RL Post-Training. CoRR abs/2601.23220 (2026) - [i34]Qiyuan Chen, Hongsen Huang, Jiahe Chen, Qian Shao, Jintai Chen, Hongxia Xu, Renjie Hua, Chuan Ren, Jian Wu:
Learning What Matters: Dynamic Dimension Selection and Aggregation for Interpretable Vision-Language Reward Modeling. CoRR abs/2604.05445 (2026) - [i33]Jiahe Chen, Qian Shao, Qiyuan Chen, Jiaying He, Jintai Chen, Jian Wu, Hongxia Xu:
Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning. CoRR abs/2606.26973 (2026) - [i32]Zihan Xu, Yanzhen Chen, Xiaocheng Zhang, Zhiting Fan, Weiqi Zhai, Hongxia Xu, Zuozhu Liu:
LongMedBench: Benchmarking Medical Agents for Long-Horizon Clinical Decision-Making. CoRR abs/2607.09322 (2026) - [i31]Yunzhan Fu, Xiangyu Shen, Yifei Sun, Yuhan Chen, Jian Wu, Hongxia Xu:
MIND: Multimodal Intent-Driven Network via Diffusion Transformers for Medical Image Fusion. CoRR abs/2607.28565 (2026) - 2025
- [j20]Hongxia Xu, Yanting Xu, Nengxiang Ling, Guoliang Fan:
Sufficient dimension reduction in the presence of controlling variable and missing multivariate response. Commun. Stat. Simul. Comput. 54(7): 2525-2543 (2025) - [j19]Hongxia Xu, Mengting Qin, Guoliang Fan:
Truncated composite quantile regression with covariates measurement errors. Commun. Stat. Simul. Comput. 54(7): 2599-2616 (2025) - [j18]Xiaoqiang Liu, Yinlong Xu, Hongxia Xu, Liang He, Siyu Long, Yisen Huang, Yubin Wang, Yingzhou Lu, Yingxuan Huang, Jian Wu, Honghao Gao, Xiaobo Liu:
Advancing interpretable cardiac disease diagnosis via a transformer-convolutional hybrid network on electrocardiograms. Eng. Appl. Artif. Intell. 152: 110675 (2025) - [j17]Yixuan Wu, Jintai Chen, Lianting Hu, Hongxia Xu, Huiying Liang, Jian Wu:
OmniFuse: A general modality fusion framework for multi-modality learning on low-quality medical data. Inf. Fusion 117: 102890 (2025) - [j16]Shuaiyan Li, Xiaorui Wang, Yuchen Zhu, Jingxuan Ge, Donghai Zhao, Hongxia Xu, Tingjun Hou, Chang-Yu Hsieh:
PepBAN: A Deep Learning Framework with Bilinear Attention and Adversarial Learning for Peptide-Protein Interaction Prediction. J. Chem. Inf. Model. 65(17): 9061-9074 (2025) - [j15]Xiying Huang, Ruizi Lin, Yixin Xiao, Zihan Ma, Hongxia Xu, Yulian Wu, Xiawei Li:
Early detection of G2SCH through machine learning analysis of physical examination metrics. npj Digit. Medicine 8(1) (2025) - [j14]Zihan Ma, Yuling Tong, Kai Zhang, Haozhong Ma, Yongfeng Ding, Honghao Gao, Jian Wu, Hongxia Xu:
RTAEI: Robust Tabular Autoencoder Interpolator to Gastric Cancer Innovative Detection for Deep Learning Empowered Healthcare Electronics. IEEE Trans. Consumer Electron. 71(1): 1482-1494 (2025) - [j13]Honghao Gao, Yaping Wan, Hongxia Xu, Lingchao Chen, Junsheng Xiao, Qionghuizi Ran:
SwinBTC: Transfer Learning to Brain Tumor Classification for Healthcare Electronics Using Augmented MR Images. IEEE Trans. Consumer Electron. 71(1): 2297-2308 (2025) - [c26]Guocong Li, Weize Liu, Yihang Wu, Ping Wang, Shuaihan Huang, Hongxia Xu, Jian Wu:
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs. ACL (Findings) 2025: 1192-1209 - [c25]Yinlong Xu, Yanzhao Zheng, Shuoshuo Sun, Shuaihan Huang, Baohua Dong, Hangcheng Zhu, Ruohui Huang, Gang Yu, Hongxia Xu, Jian Wu:
Reason from Future: Reverse Thought Chain Enhances LLM Reasoning. ACL (Findings) 2025: 25153-25166 - [c24]Xuerui Cheng, Yu Zheng, Rui Han, Hongxia Xu:
Exploration of Chronic Disease Pre-triage System Based on LLM and RGA. BI (2) 2025: 38-47 - [c23]