Xingzhi Sun

According to our database, Xingzhi Sun authored at least 44 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Bayesian Spectral Graph Denoising with Smoothness Prior.

Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2023

Bayesian Formulations for Graph Spectral Denoising.

Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy

CoRR, 2023

Graph topological property recovery with heat and wave dynamics-based features on graphs.

Dhananjay Bhaskar, Yanlei Zhang, Charles Xu, Xingzhi Sun, Oluwadamilola Fasina, Guy Wolf, Maximilian Nickel, Michael Perlmutter, Smita Krishnaswamy

CoRR, 2023

Interactive Molecular Discovery with Natural Language.

Zheni Zeng, Bangchen Yin, Shipeng Wang, Jiarui Liu, Cheng Yang, Haishen Yao, Xingzhi Sun, Maosong Sun, Guotong Xie, Zhiyuan Liu

CoRR, 2023

Exploring the Impact of Model Scaling on Parameter-Efficient Tuning.

Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Xingzhi Sun, Guotong Xie, Zhiyuan Liu, Maosong Sun

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Global Balanced Text Classification for Stable Disease Diagnosis.

Zhuoyang Xu, Xuehan Jiang, Siyue Chen, Yue Zhao, Gang Hu, Xingzhi Sun, Guotong Xie

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

pureGAM: Learning an Inherently Pure Additive Model.

Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Integrating Medical Code Descriptions and Building Text Classification Models for Diagnostic Decision Support.

Rui Tang, Zhaowei Zhu, Haishen Yao, Yanxuan Li, Xingzhi Sun, Gang Hu, Guotong Xie, Yichong Li

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function.

Zhaowei Zhu, Xiang Lan, Tingting Zhao, Yangming Guo, Pipin Kojodjojo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Han Wang, Xingzhi Sun, Mengling Feng

CoRR, 2021

Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning.

Zhuo Liu, Yanxuan Li, Xingzhi Sun, Fei Wang, Gang Hu, Guotong Xie

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Embedding Electronic Health Records to Learn BERT-based Models for Diagnostic Decision Support.

Rui Tang, Haishen Yao, Zhaowei Zhu, Xingzhi Sun, Gang Hu, Yichong Li, Guotong Xie

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Multi-Label Cardiac Abnormalities Classification on Selected Leads of ECG Signals.

Zhuoyang Xu, Yangming Guo, Tingting Zhao, Zhuo Liu, Xingzhi Sun

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Inpatinets' FWA Detection: Mismatch between the Clinical Path and Medical Condition.

Xuehan Jiang, Rui Tang, Xingzhi Sun, Gang Hu, Guotong Xie

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

A Deep Reinforcement Learning Approach for Type 2 Diabetes Mellitus Treatment.

Zhuo Liu, Linong Ji, Xuehan Jiang, Wei Zhao, Xiyang Liao, Tingting Zhao, Siqi Liu, Xingzhi Sun, Gang Hu, Mengling Feng, Guotong Xie

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Classification of Cardiac Abnormalities From ECG Signals Using SE-ResNet.

Zhaowei Zhu, Han Wang, Tingting Zhao, Yangming Guo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Xiang Lan, Xingzhi Sun, Mengling Feng

Proceedings of the Computing in Cardiology, 2020

Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning.

Lei Zuo, Xin Du, Wei Zhao, Chao Jiang, Shijun Xia, Liu He, Rong Liu, Ribo Tang, Rong Bai, Jianzeng Dong, Xingzhi Sun, Gang Hu, Guotong Xie, Changsheng Ma

Proceedings of the AMIA 2020, 2020

2019

An Approach of Integrating Domain Knowledge into Data-Driven Diagnostic Model.

Guanxu Su, Jianghui Wen, Zhaowei Zhu, Zhuo Liu, Wei Zhao, Xingzhi Sun, Gang Hu, Guotong Xie

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Integrating Clinical Knowledge and Real-World Evidence for Type 2 Diabetes Treatment.

Xingzhi Sun, Wei Zhao, Lei Zuo, Alexandra Dumitriu, Chuang-Chung Lee, Nan Cui, Xiyang Liao, Tingting Zhao, Xuehan Jiang, Zhuoyang Xu, Gang Hu, Guotong Xie, Hong Wu, Yahua Huang

Proceedings of the AMIA 2019, 2019

2014

Privacy Preservation for Associative Classification.

Nattapon Harnsamut, Juggapong Natwichai, Xingzhi Sun, Xue Li

Comput. Intell., 2014

2013

A Novel Approach to Generating CER Hypotheses based on Mining Clinical Data.

Shuo Zhang, Lin Li, Yiqin Yu, Xingzhi Sun, Linhao Xu, Wei Zhao, Xiaofei Teng, Yue Pan

Proceedings of the MEDINFO 2013, 2013

On the challenges of balancing privacy and utility of open health data.

Christian Guttmann, Xingzhi Sun, Chaitanya Rao, Carlos Queiroz, Benjamin I. P. Rubinstein

Proceedings of the Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities, 2013

2011

Bootstrapping Object Coreferencing on the Semantic Web.

Wei Hu, Yuzhong Qu, Xingzhi Sun

J. Comput. Sci. Technol., 2011

Associative classification rules hiding for privacy preservation.

Juggapong Natwichai, Xingzhi Sun, Xue Li

Int. J. Intell. Inf. Database Syst., 2011

Incremental Reasoning over Multiple Ontologies.

Jing Lu, Xingzhi Sun, Linhao Xu, Haofen Wang

Proceedings of the Web-Age Information Management - 12th International Conference, 2011

Image modality classification: a late fusion method based on confidence indicator and closeness matrix.

Xingzhi Sun, Leiguang Gong, Apostol Natsev, Xiaofei Teng, Li Tian, Tao Wang, Yue Pan

Proceedings of the 1st International Conference on Multimedia Retrieval, 2011

Ontology-based Knowledge Management for Personalized Adverse Drug Events Detection.

Feng Cao, Xingzhi Sun, Xiaoyuan Wang, Bo Li, Jing Li, Yue Pan

Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 2011

2009

SMDM: Enhancing Enterprise-Wide Master Data Management Using Semantic Web Technologies.

Xiaoyuan Wang, Xingzhi Sun, Feng Cao, Li Ma, Nick Kanellos, Kang Zhang, Yue Pan, Yong Yu

Proc. VLDB Endow., 2009

Semantic Enhancement for Enterprise Data Management.

Li Ma, Xingzhi Sun, Feng Cao, Chen Wang, Xiaoyuan Wang, Nick Kanellos, Dan Wolfson, Yue Pan

Proceedings of the Semantic Web - ISWC 2009, 8th International Semantic Web Conference, 2009

2008

Scalable Grounded Conjunctive Query Evaluation over Large and Expressive Knowledge Bases.

Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Li Ma, Edith Schonberg, Kavitha Srinivas, Xingzhi Sun

Proceedings of the Semantic Web - ISWC 2008, 7th International Semantic Web Conference, 2008

A Heuristic Data Reduction Approach for Associative Classification Rule Hiding.

Juggapong Natwichai, Xingzhi Sun, Xue Li

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Data Quality in Privacy Preservation for Associative Classification.

Nattapon Harnsamut, Juggapong Natwichai, Xingzhi Sun, Xue Li

Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

Data Reduction Approach for Sensitive Association Classification Rule Hiding.

Juggapong Natwichai, Xingzhi Sun, Xue Li

Proceedings of the Database Technologies 2008. Proceedings of the Nineteenth Australasian Database Conference, 2008

2007

Hiding Sensitive Frequent Itemsets by a Border-Based Approach.

Xingzhi Sun, Philip S. Yu

J. Comput. Sci. Eng., 2007

Discovering Correlated Items in Data Streams.

Xingzhi Sun, Ming Chang, Xue Li, Maria E. Orlowska

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Efficient Semantically Equal Join on Strings.

Juggapong Natwichai, Xingzhi Sun, Maria E. Orlowska

Proceedings of the Advances in Databases: Concepts, 2007

Hiding Sensitive Associative Classification Rule by Data Reduction.

Juggapong Natwichai, Maria E. Orlowska, Xingzhi Sun

Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2006

Can exclusive clustering on streaming data be achieved?

Maria E. Orlowska, Xingzhi Sun, Xue Li

SIGKDD Explor., 2006

2005

Knowledge discovery in long temporal event sequences

Xingzhi Sun

PhD thesis, 2005

Finding Temporal Features of Event-Oriented Patterns.

Xingzhi Sun, Maria E. Orlowska, Xue Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Improvements of IncSpan: Incremental Mining of Sequential Patterns in Large Database.

Son N. Nguyen, Xingzhi Sun, Maria E. Orlowska

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

A Border-Based Approach for Hiding Sensitive Frequent Itemsets.

Xingzhi Sun, Philip S. Yu

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004

Finding Negative Event-Oriented Patterns in Long Temporal Sequences.

Xingzhi Sun, Maria E. Orlowska, Xue Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

2003

Finding Event-Oriented Patterns in Long Temporal Sequences.

Xingzhi Sun, Maria E. Orlowska, Xiaofang Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Introducing Uncertainty into Pattern Discovery in Temporal Event Sequences.

Xingzhi Sun, Maria E. Orlowska, Xue Li

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003