Self-supervised Cross-level Consistency Learning for Fundus Image Classification

[ICASSP 2024] Q. Bi, H. Zheng, X. Sun, J. Yi, W. Zhang, Y. Huang, Y. Li, and Y. Zheng

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications

[SIGIR 2024] Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, and Yefeng Zheng

Causally Debiased Time-aware Recommendation

[WWW 2024] Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen

GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph

[WWW 2024] Xi Sheryl Zhang, Weifan Guan, Jiahao Lu, Zhaopeng Qiu, Jian Cheng, Xian Wu, Yefeng Zheng

Improving Biomedical Entity Linking with Retrieval-enhanced Learning

[ICASSP 2024] Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng

REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning

[CIKM 2023] Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Yong Zhang, Chunxiao Xing, Xian Wu

Distributionally Robust Sequential Recommnedation

[SIGIR 2023] Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen

Cross-Modal Contrastive Learning for Event Extraction

[DASFAA 2023] Shuo Wang, Meizhi Ju, Yunyan Zhang, Yefeng Zheng, Meng Wang, Guilin Qi

Exploring Social Media for Early Detection of Depression in COVID-19 Patients

[WWW 2023] Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang

MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction

[CIKM 2022] Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Bang Liu, Siheng Li, Yujiu Yang, Yefeng Zheng

QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations

[WWW 2022] Suyuchen Wang, Ruihui Zhao,Yefeng Zheng, Bang Liu

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation

[ICDE 2022] Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu

Contractible Regularization for Federated Learning on Non-IID Data

[ICDM 2022] Zifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, Yangtian Yan, Yefeng Zheng

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit

[ICDM 2022] Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation

[CIKM 2022] Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang

CLINER: Clinical Interrogation Named Entity Recognition

[KSEM 2022] Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu

Probing the Impacts of Visual Context in Multimodal Entity Alignment

[APWeb-WAIM 2022 (Excellent Student Paper)] Yinghui Shi, Meng Wang, Ziheng Zhang, Zhenxi Lin, and Yefeng Zheng

Medical Symptom Detection in Intelligent Pre-Consultation using Bi-directional Hard-Negative Noise Contrastive Estimation

[KDD 2022] Shiwei Zhang, Jichao Sun, Yu Huang, Xueqi Ding, and Yefeng Zheng

DDR: Dialogue based Doctor Recommendation for Online Medical Service

[KDD 2022] Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong

CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction

[WWW 2022] Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong

Conditional Generation Net for Medication Recommendation

[WWW 2022] Rui Wu, Zhaopeng Qiu, Jiacheng Jiang, Guilin Qi, Xian Wu

BNU: A Balance-Normalization-Uncertainty Model for Incremental Event Detection

[ICASSP 2022] Jia Li, Yunyan Zhang, Yifan Yang, Zhicheng An, Yefeng Zheng

InDISP: An Interpretable Model for Dynamic Illness Severity Prediction

[DASFAA 2022] Xinyu Ma, Meng Wang, Xing Liu, Yifan Yang, Yefeng Zheng, Sen Wang

Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion

[WWW 2021] Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu

Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis

[ICDM 2021] Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, and Chen Li

PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System

[CIKM 2021] Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yefeng Zheng

Lifelong Learning based Disease Diagnosis on Clinical Notes

[PAKDD 2021 (Best Student Paper)] Zifeng Wang*, Yifan Yang*, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng

Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge

[PAKDD 2021] Zhihao Ye, Rui Wen, Xi Chen, Ye Liu, Ziheng Zhang, Zhiyong Li, Ke Nai, Yefeng Zheng

Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach

[SDM 2021] Xianli Zhang, Buyue Qian, Yang Li, Yang Liu, Xi Chen, Chong Guan, Yefeng Zheng, Chen Li

Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks

[WWW 2021] Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng

INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare

[KDD 2020] Xianli Zhang, Buyue Qian, Shilei Cao, Yang Li, Hang Chen, Yefeng Zheng, Ian Davidson

Correcting Knowledge Base Assertions

[WWW 2020] Jiaoyan Chen, Xi Chen, Ian Horrocks, Erik B. Myklebust, and Ernesto Jimenez-Ruiz