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2020 – today
- 2024
[j1]Song Han
, Hongxin Ding, Shuai Zhao, Siqi Ren, Zhibo Wang, Jianhong Lin, Shuhao Zhou:
Practical and Robust Federated Learning With Highly Scalable Regression Training. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13801-13815 (2024)- [c4]Yongxin Xu, Xinke Jiang, Xu Chu, Yuzhen Xiao, Chaohe Zhang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup. KDD 2024: 3633-3644 - 2023
- [c3]Kai Yang, Yongxin Xu, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations. AAAI 2023: 5357-5365 - [c2]Yongxin Xu, Kai Yang, Chaohe Zhang, Peinie Zou, Zhiyuan Wang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data. IJCAI 2023: 4921-4929 - [c1]Yongxin Xu, Xu Chu, Kai Yang, Zhiyuan Wang, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data. WWW 2023: 2819-2830 - [i2]Hongxin Ding, Peinie Zou, Zhiyuan Wang, Junfeng Zhao, Yasha Wang, Qiang Zhou:
A ModelOps-based Framework for Intelligent Medical Knowledge Extraction. CoRR abs/2310.02593 (2023) - [i1]Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang:
Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models. CoRR abs/2312.15883 (2023)
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