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2020 – today
- 2025
[i8]Yanlei Zhang, Lydia Mezrag, Xingzhi Sun, Charles Xu, Kincaid MacDonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, Bastian Rieck:
Principal Curvatures Estimation with Applications to Single Cell Data. CoRR abs/2502.03750 (2025)- 2024
- [c33]Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy:
Bayesian Spectral Graph Denoising with Smoothness Prior. CISS 2024: 1-6 - [i7]Xingzhi Sun, Charles Xu, João F. Rocha, Chen Liu, Benjamin Hollander-Bodie, Laney Goldman, Marcello DiStasio, Michael Perlmutter, Smita Krishnaswamy:
Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics. CoRR abs/2409.09469 (2024) - [i6]Zhangpu Li, Changhong Zou, Suxue Ma, Zhicheng Yang, Chen Du, Youbao Tang, Zhenjie Cao, Ning Zhang, Jui-Hsin Lai, Ruei-Sung Lin, Yuan Ni, Xingzhi Sun, Jing Xiao, Jieke Hou, Kai Zhang, Mei Han:
ZALM3: Zero-Shot Enhancement of Vision-Language Alignment via In-Context Information in Multi-Turn Multimodal Medical Dialogue. CoRR abs/2409.17610 (2024) - [i5]Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Chen Liu, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy:
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds. CoRR abs/2410.12779 (2024) - 2023
- [c32]Zhuoyang Xu, Xuehan Jiang, Siyue Chen, Yue Zhao, Gang Hu, Xingzhi Sun, Guotong Xie:
Global Balanced Text Classification for Stable Disease Diagnosis. ADMA (3) 2023: 214-228 - [c31]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:
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning. EMNLP 2023: 15062-15078 - [i4]Zheni Zeng, Bangchen Yin, Shipeng Wang, Jiarui Liu, Cheng Yang, Haishen Yao, Xingzhi Sun, Maosong Sun, Guotong Xie, Zhiyuan Liu:
Interactive Molecular Discovery with Natural Language. CoRR abs/2306.11976 (2023) - [i3]Dhananjay Bhaskar, Yanlei Zhang, Charles Xu, Xingzhi Sun, Oluwadamilola Fasina, Guy Wolf, Maximilian Nickel, Michael Perlmutter, Smita Krishnaswamy:
Graph topological property recovery with heat and wave dynamics-based features on graphs. CoRR abs/2309.09924 (2023) - [i2]Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy:
Bayesian Formulations for Graph Spectral Denoising. CoRR abs/2311.16378 (2023) - 2022
- [c30]Rui Tang, Zhaowei Zhu, Haishen Yao, Yanxuan Li, Xingzhi Sun, Gang Hu, Guotong Xie, Yichong Li:
Integrating Medical Code Descriptions and Building Text Classification Models for Diagnostic Decision Support. ICHI 2022: 612-613 - [c29]Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang:
pureGAM: Learning an Inherently Pure Additive Model. KDD 2022: 1728-1738 - 2021
- [c28]Xuehan Jiang, Rui Tang, Xingzhi Sun, Gang Hu, Guotong Xie:
Inpatinets' FWA Detection: Mismatch between the Clinical Path and Medical Condition. BIBM 2021: 1358-1363 - [c27]Zhuoyang Xu, Yangming Guo, Tingting Zhao, Zhuo Liu, Xingzhi Sun:
Multi-Label Cardiac Abnormalities Classification on Selected Leads of ECG Signals. CinC 2021: 1-4 - [c26]Rui Tang, Haishen Yao, Zhaowei Zhu, Xingzhi Sun, Gang Hu, Yichong Li, Guotong Xie:
Embedding Electronic Health Records to Learn BERT-based Models for Diagnostic Decision Support. ICHI 2021: 311-319 - [c25]Zhuo Liu, Yanxuan Li, Xingzhi Sun, Fei Wang, Gang Hu, Guotong Xie:
Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning. KDD 2021: 1120-1128 - [i1]Zhaowei Zhu, Xiang Lan, Tingting Zhao, Yangming Guo, Pipin Kojodjojo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Han Wang, Xingzhi Sun, Mengling Feng:
Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function. CoRR abs/2101.03895 (2021) - 2020
- [c24]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:
Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning. AMIA 2020 - [c23]Zhaowei Zhu, Han Wang, Tingting Zhao, Yangming Guo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Xiang Lan, Xingzhi Sun, Mengling Feng:
Classification of Cardiac Abnormalities From ECG Signals Using SE-ResNet. CinC 2020: 1-4 - [c22]Zhuo Liu, Linong Ji, Xuehan Jiang, Wei Zhao, Xiyang Liao, Tingting Zhao, Siqi Liu, Xingzhi Sun, Gang Hu, Mengling Feng, Guotong Xie:
A Deep Reinforcement Learning Approach for Type 2 Diabetes Mellitus Treatment. ICHI 2020: 1-9
2010 – 2019
- 2019
- [c21]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:
Integrating Clinical Knowledge and Real-World Evidence for Type 2 Diabetes Treatment. AMIA 2019 - [c20]Guanxu Su, Jianghui Wen, Zhaowei Zhu, Zhuo Liu, Wei Zhao, Xingzhi Sun, Gang Hu, Guotong Xie:
An Approach of Integrating Domain Knowledge into Data-Driven Diagnostic Model. MedInfo 2019: 1594-1595 - 2014
- [j6]Nattapon Harnsamut, Juggapong Natwichai, Xingzhi Sun, Xue Li:
Privacy Preservation for Associative Classification. Comput. Intell. 30(4): 752-770 (2014) - 2013
- [c19]Christian Guttmann, Xingzhi Sun, Chaitanya Rao, Carlos Queiroz, Benjamin I. P. Rubinstein:
On the challenges of balancing privacy and utility of open health data. AIIP/Semantic Cities@IJCAI 2013: 43-47 - [c18]Shuo Zhang, Lin Li, Yiqin Yu, Xingzhi Sun, Linhao Xu, Wei Zhao, Xiaofei Teng, Yue Pan:
A Novel Approach to Generating CER Hypotheses based on Mining Clinical Data. MedInfo 2013: 991 - 2011
- [j5]Juggapong Natwichai, Xingzhi Sun, Xue Li:
Associative classification rules hiding for privacy preservation. Int. J. Intell. Inf. Database Syst. 5(3): 246-270 (2011) - [j4]Wei Hu, Yuzhong Qu, Xingzhi Sun:
Bootstrapping Object Coreferencing on the Semantic Web. J. Comput. Sci. Technol. 26(4): 663-675 (2011) - [c17]Feng Cao, Xingzhi Sun, Xiaoyuan Wang, Bo Li, Jing Li, Yue Pan:
Ontology-based Knowledge Management for Personalized Adverse Drug Events Detection. MIE 2011: 699-703 - [c16]Xingzhi Sun, Leiguang Gong, Apostol Natsev, Xiaofei Teng, Li Tian, Tao Wang, Yue Pan:
Image modality classification: a late fusion method based on confidence indicator and closeness matrix. ICMR 2011: 55 - [c15]Jing Lu, Xingzhi Sun, Linhao Xu, Haofen Wang:
Incremental Reasoning over Multiple Ontologies. WAIM 2011: 131-143
2000 – 2009
- 2009
- [j3]Xiaoyuan Wang, Xingzhi Sun, Feng Cao, Li Ma, Nick Kanellos, Kang Zhang, Yue Pan, Yong Yu:
SMDM: Enhancing Enterprise-Wide Master Data Management Using Semantic Web Technologies. Proc. VLDB Endow. 2(2): 1594-1597 (2009) - [c14]Li Ma, Xingzhi Sun, Feng Cao, Chen Wang, Xiaoyuan Wang, Nick Kanellos, Dan Wolfson, Yue Pan:
Semantic Enhancement for Enterprise Data Management. ISWC 2009: 876-892 - 2008
- [c13]Juggapong Natwichai, Xingzhi Sun, Xue Li:
Data Reduction Approach for Sensitive Association Classification Rule Hiding. ADC 2008: 23-30 - [c12]Nattapon Harnsamut, Juggapong Natwichai, Xingzhi Sun, Xue Li:
Data Quality in Privacy Preservation for Associative Classification. ADMA 2008: 111-122 - [c11]Juggapong Natwichai, Xingzhi Sun, Xue Li:
A Heuristic Data Reduction Approach for Associative Classification Rule Hiding. PRICAI 2008: 140-151 - [c10]Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Li Ma, Edith Schonberg, Kavitha Srinivas, Xingzhi Sun:
Scalable Grounded Conjunctive Query Evaluation over Large and Expressive Knowledge Bases. ISWC 2008: 403-418 - 2007
- [j2]Xingzhi Sun, Philip S. Yu:
Hiding Sensitive Frequent Itemsets by a Border-Based Approach. J. Comput. Sci. Eng. 1(1): 74-94 (2007) - [c9]Juggapong Natwichai, Maria E. Orlowska, Xingzhi Sun:
Hiding Sensitive Associative Classification Rule by Data Reduction. ADMA 2007: 310-322 - [c8]Juggapong Natwichai, Xingzhi Sun, Maria E. Orlowska:
Efficient Semantically Equal Join on Strings. DASFAA 2007: 1041-1044 - [c7]Xingzhi Sun, Ming Chang, Xue Li, Maria E. Orlowska:
Discovering Correlated Items in Data Streams. PAKDD 2007: 260-271 - 2006
- [j1]Maria E. Orlowska, Xingzhi Sun, Xue Li:
Can exclusive clustering on streaming data be achieved? SIGKDD Explor. 8(2): 102-108 (2006) - 2005
- [b1]Xingzhi Sun:
Knowledge discovery in long temporal event sequences. University of Queensland, Australia, 2005 - [c6]Xingzhi Sun, Philip S. Yu:
A Border-Based Approach for Hiding Sensitive Frequent Itemsets. ICDM 2005: 426-433 - [c5]Son N. Nguyen, Xingzhi Sun, Maria E. Orlowska:
Improvements of IncSpan: Incremental Mining of Sequential Patterns in Large Database. PAKDD 2005: 442-451 - [c4]Xingzhi Sun, Maria E. Orlowska, Xue Li:
Finding Temporal Features of Event-Oriented Patterns. PAKDD 2005: 778-784 - 2004
- [c3]Xingzhi Sun, Maria E. Orlowska, Xue Li:
Finding Negative Event-Oriented Patterns in Long Temporal Sequences. PAKDD 2004: 212-221 - 2003
- [c2]Xingzhi Sun, Maria E. Orlowska, Xue Li:
Introducing Uncertainty into Pattern Discovery in Temporal Event Sequences. ICDM 2003: 299-306 - [c1]Xingzhi Sun, Maria E. Orlowska, Xiaofang Zhou:
Finding Event-Oriented Patterns in Long Temporal Sequences. PAKDD 2003: 15-26
Coauthor Index
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