Junfeng Zhao

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 20

Top Topics

Global Knowledge

Pseudo Feedback

Microblog Posts

Language Modeling Approaches

Top Venues

IEEE Trans. Knowl. Data Eng.

Int. J. Pattern Recognit. Artif. Intell.

Publications

Zhihao Yu, Xu Chu, Yujie Jin, Yasha Wang, Junfeng Zhao
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction. CoRR (2024)
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)
Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation. CoRR (2024)
Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation. CoRR (2024)
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)
Hongxin Ding, Peinie Zou, Zhiyuan Wang, Junfeng Zhao, Yasha Wang, Qiang Zhou
A ModelOps-based Framework for Intelligent Medical Knowledge Extraction. CoRR (2023)
Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications. NeurIPS (2023)
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)
Yang Lin, Xin Gao, Xu Chu, Yasha Wang, Junfeng Zhao, Chao Chen
Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words. ACL (Findings) (2023)
Zhihao Yu, Liantao Ma, Yasha Wang, Junfeng Zhao
Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting. CoRR (2023)
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 (2023)
Xinyu Ma, Yasha Wang, Xu Chu, Liantao Ma, Wen Tang, Junfeng Zhao, Ye Yuan, Guoren Wang
Patient Health Representation Learning via Correlational Sparse Prior of Medical Features. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu
Graph Interpolation via Fast Fused-Gromovization. CoRR (2023)
Junyi Ma, Xuanliang Wang, Yasha Wang, Xu Chu, Junfeng Zhao
An Adaptive Fusion Risk-Zone Detection Network and its Application. Int. J. Pattern Recognit. Artif. Intell. 37 (6) (2023)
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)
Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao
Care: Learning with Missing Modalities in Multimodal Healthcare Data. CoRR (2022)
Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao
Enhancing Robust Text Classification via Category Description. ICDM (2022)
Xinyu Ma, Xu Chu, Yasha Wang, Hailong Yu, Liantao Ma, Wen Tang, Junfeng Zhao
MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering. CoRR (2022)
Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao
M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. KDD (2022)
Kai Yang, Zhaojing Luo, Jinyang Gao, Junfeng Zhao, Beng Chin Ooi, Bing Xie
LDA-Reg: Knowledge Driven Regularization Using External Corpora. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)