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2020 – today
- 2025
[j119]Yingjun Dong
, Samiksha Pachade, Kirk Roberts, Xiaoqian Jiang, Sunil A. Sheth, Luca Giancardo:
Generalizable self-supervised learning for brain CTA in acute stroke. Comput. Biol. Medicine 184: 109337 (2025)- [j118]Yao-Shun Chuang, Atiquer Rahman Sarkar, Yu-Chun Hsu, Noman Mohammed, Xiaoqian Jiang:
Robust privacy amidst innovation with large language models through a critical assessment of the risks. J. Am. Medical Informatics Assoc. 32(5): 885-892 (2025) - [j117]Xiaoqian Jiang, Jing Zhang, Ming Wu, Victor S. Sheng:
TiFedCrowd: Federated Crowdsourcing With Time-Controlled Incentive. IEEE Trans. Emerg. Top. Comput. Intell. 9(2): 1514-1526 (2025) - [i58]Wenbiao Li, Anisa Halimi, Xiaoqian Jiang, Jaideep Vaidya, Erman Ayday:
Privacy-Preserving Model and Preprocessing Verification for Machine Learning. CoRR abs/2501.08236 (2025) - 2024
- [j116]Yi-Ching Tang, Rongbin Li, Jing Tang, W. Jim Zheng, Xiaoqian Jiang:
SAFER: sub-hypergraph attention-based neural network for predicting effective responses to dose combinations. BMC Bioinform. 25(1): 250 (2024) - [j115]Jing Zhang, Xiaoqian Jiang, Nianshang Tian, Ming Wu:
Label noise correction for crowdsourcing using dynamic resampling. Eng. Appl. Artif. Intell. 133: 108439 (2024) - [j114]Shaika Chowdhury, Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma, Qiying Dai, Yue Yu, Sunyang Fu, Xiaoqian Jiang, Zhe He, Sunghwan Sohn, Xiaoke Liu, Suzette J. Bielinski, Alanna M. Chamberlain, James R. Cerhan, Nansu Zong:
Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. J. Am. Medical Informatics Assoc. 31(8): 1671-1681 (2024) - [j113]Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu:
Improving large language models for clinical named entity recognition via prompt engineering. J. Am. Medical Informatics Assoc. 31(9): 1812-1820 (2024) - [j112]Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S. Diala, Kirk E. Roberts, Cui Tao, Xiaoqian Jiang, W. Jim Zheng, Hua Xu:
Ensemble pretrained language models to extract biomedical knowledge from literature. J. Am. Medical Informatics Assoc. 31(9): 1904-1911 (2024) - [j111]Can Li, Xiaoqian Jiang, Kai Zhang:
A transformer-based deep learning approach for fairly predicting post-liver transplant risk factors. J. Biomed. Informatics 149: 104545 (2024) - [j110]Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu:
SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization. J. Biomed. Informatics 151: 104606 (2024) - [j109]Dulin Wang, Xiaotian Ma, Paul E. Schulz, Xiaoqian Jiang, Yejin Kim:
Clinical outcome-guided deep temporal clustering for disease progression subtyping. J. Biomed. Informatics 158: 104732 (2024) - [j108]Eunyoung Im, Hyeoneui Kim, Hyungbok Lee, Xiaoqian Jiang, Ju Han Kim:
Exploring the tradeoff between data privacy and utility with a clinical data analysis use case. BMC Medical Informatics Decis. Mak. 24(1): 147 (2024) - [j107]Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding, Yejin Kim:
CancerGPT for few shot drug pair synergy prediction using large pretrained language models. npj Digit. Medicine 7(1) (2024) - [j106]Wentao Li, Han Chen, Xiaoqian Jiang, Arif Ozgun Harmanci:
FedGMMAT: Federated generalized linear mixed model association tests. PLoS Comput. Biol. 20(7): 1012142 (2024) - [c90]Pritham Ram, Na Hong, Hua Xu, Xiaoqian Jiang:
Mapping Study Variables to Common Data Elements Using GPT for Sheets: Towards Standardized Data Collection and Sharing. ICHI 2024: 320-325 - [c89]Xiaoqian Jiang, Haiyang Diao, Cangqi Zhou, Jing Zhang:
Timeliness-Selective Incentive Federated Crowdsourcing. ICWS 2024: 632-642 - [c88]Ruixuan Liu, Hong-Kyu Lee, Sivasubramanium V. Bhavani, Xiaoqian Jiang, Lucila Ohno-Machado, Li Xiong:
Patient-Centered and Practical Privacy to Support AI for Healthcare. TPS-ISA 2024: 265-272 - [i57]Atiquer Rahman Sarkar, Yao-Shun Chuang, Noman Mohammed, Xiaoqian Jiang:
De-identification is not always enough. CoRR abs/2402.00179 (2024) - [i56]Anindita Nath, Savannah Mwesigwa, Yulin Dai, Xiaoqian Jiang, Zhongming Zhao:
GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console. CoRR abs/2404.04299 (2024) - [i55]Yaobin Ling, Xiaoqian Jiang, Yejin Kim:
MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data. CoRR abs/2406.10521 (2024) - [i54]Jing Zhang, Xiaoqian Jiang, Yingjie Xie, Cangqi Zhou:
Heterogeneous Graph Contrastive Learning with Spectral Augmentation. CoRR abs/2407.00708 (2024) - [i53]Yao-Shun Chuang, Atiquer Rahman Sarkar, Noman Mohammed, Xiaoqian Jiang:
Robust Privacy Amidst Innovation with Large Language Models Through a Critical Assessment of the Risks. CoRR abs/2407.16166 (2024) - [i52]Yao-Shun Chuang, Chun-Teh Lee, Oluwabunmi Tokede, Guo-Hao Lin, Ryan Brandon, Trung Duong Tran, Xiaoqian Jiang, Muhammad F. Walji:
Artificial Intelligence in Extracting Diagnostic Data from Dental Records. CoRR abs/2407.21050 (2024) - [i51]Yan Hu, Xu Zuo, Yujia Zhou, Xueqing Peng, Jimin Huang, Vipina Kuttichi Keloth, Vincent J. Zhang, Ruey-Ling Weng, Qingyu Chen, Xiaoqian Jiang, Kirk E. Roberts, Hua Xu:
Information Extraction from Clinical Notes: Are We Ready to Switch to Large Language Models? CoRR abs/2411.10020 (2024) - [i50]Yan Wang, Jimin Huang, Huan He, Vincent J. Zhang, Yujia Zhou, Xubing Hao, Pritham Ram, Lingfei Qian, Qianqian Xie, Ruey-Ling Weng, Fongci Lin, Yan Hu, Licong Cui, Xiaoqian Jiang, Hua Xu, Na Hong:
CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models. CoRR abs/2412.00491 (2024) - [i49]Jungho Moon, Dongwoo Yoo, Xiaoqian Jiang, Miran Kim:
THOR: Secure Transformer Inference with Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2024: 1881 (2024) - 2023
- [j105]Xingxin Pan, Zeynep H. Coban Akdemir, Ruixuan Gao, Xiaoqian Jiang, Gloria M. Sheynkman, Erxi Wu, Jason H. Huang, Nidhi Sahni, S. Stephen Yi:
AD-Syn-Net: systematic identification of Alzheimer's disease-associated mutation and co-mutation vulnerabilities via deep learning. Briefings Bioinform. 24(2) (2023) - [j104]Xinyue Wang, Leonard Dervishi, Wen Tao Li, Erman Ayday, Xiaoqian Jiang, Jaideep Vaidya:
Privacy-preserving federated genome-wide association studies via dynamic sampling. Bioinform. 39(10) (2023) - [j103]Leonard Dervishi, Wenbiao Li, Anisa Halimi, Xiaoqian Jiang, Jaideep Vaidya, Erman Ayday:
Privacy preserving identification of population stratification for collaborative genomic research. Bioinform. 39(Supplement-1): 168-176 (2023) - [j102]Tsung-Ting Kuo, Anh Pham, Maxim E. Edelson, Jihoon Kim, Jason Chan, Yash Gupta, Lucila Ohno-Machado, David M. Anderson, Chandrasekar Balacha, Tyler Bath, Sally L. Baxter, Andrea Becker-Pennrich, Douglas S. Bell, Elmer V. Bernstam, Ngan Chau, Michele E. Day, Jason N. Doctor, Scott L. DuVall, Robert El-Kareh, Renato Florian, Robert W. Follett, Benjamin P. Geisler, Alessandro Ghigi, Assaf Gottlieb, Ludwig Christian G. Hinske, Zhaoxian Hu, Diana Ir, Xiaoqian Jiang, Katherine K. Kim, Tara K. Knight, Jejo D. Koola, Nelson Lee, Ulrich Mansmann, Michael E. Matheny, Daniella Meeker, Zongyang Mou, Larissa Neumann, Nghia H. Nguyen, Nick Anderson, Eunice Park, Paulina Paul, Mark J. Pletcher, Kai W. Post, Clemens Rieder, Clemens Scherer, Lisa M. Schilling, Andrey Soares, Spencer L. SooHoo, Ekin Soysal, Steven Covington, Brian Tep, Brian Toy, Baocheng Wang, Zhen R. Wu, Hua Xu, Yong K. Choi, Kai Zheng, Yujia Zhou, Rachel A Zucker:
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions. J. Am. Medical Informatics Assoc. 30(6): 1167-1178 (2023) - [j101]Yifang Dang, Fang Li, Xinyue Hu, Vipina Kuttichi Keloth, Meng Zhang, Sunyang Fu, Muhammad F. Amith, J. Wilfred Fan, Jingcheng Du, Evan Yu, Hongfang Liu, Xiaoqian Jiang, Hua Xu, Cui Tao:
Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO). J. Am. Medical Informatics Assoc. 30(9): 1465-1473 (2023) - [j100]Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease. J. Am. Medical Informatics Assoc. 30(10): 1645-1656 (2023) - [j99]Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark. J. Biomed. Informatics 137: 104256 (2023) - [j98]Emily J. Getzen, Lyle H. Ungar, Danielle L. Mowery, Xiaoqian Jiang, Qi Long:
Mining for equitable health: Assessing the impact of missing data in electronic health records. J. Biomed. Informatics 139: 104269 (2023) - [j97]Lucila Ohno-Machado, Xiaoqian Jiang, Tsung-Ting Kuo, Shiqiang Tao, Luyao Chen, Pritham Ram, Guo-Qiang Zhang, Hua Xu:
A hierarchical strategy to minimize privacy risk when linking "De-identified" data in biomedical research consortia. J. Biomed. Informatics 139: 104322 (2023) - [j96]Can Li, Sirui Ding, Na Zou, Xia Hu, Xiaoqian Jiang, Kai Zhang:
Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling. J. Biomed. Informatics 143: 104399 (2023) - [j95]Tongtong Huang, Linda T. Li, Elmer V. Bernstam, Xiaoqian Jiang:
Confidence-based laboratory test reduction recommendation algorithm. BMC Medical Informatics Decis. Mak. 23(1): 93 (2023) - [j94]Yan Chu, Kaichen Tang, Yu-Chun Hsu, Tongtong Huang, Dulin Wang, Wentao Li, Sean I. Savitz, Xiaoqian Jiang, Shayan Shams:
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework. BMC Medical Informatics Decis. Mak. 23(1): 131 (2023) - [c87]Omer Anjum, Luyao Chen, Ryan Denlinger, Ejaz Anam, Dongsheng Yuan, Connie Wooldridge, Martin J. Citardi, Jiajie Zhang, Hua Xu, Xiaoqian Jiang:
FinFax: Fast Interpretation of Fax with NLP. BCB 2023: 73:1-73:2 - [c86]Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu:
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CIKM 2023: 5021-5025 - [c85]Nicholas Glaze, Artun Bayer, Xiaoqian Jiang, Sean I. Savitz, Santiago Segarra:
Graph Representation Learning For Stroke Recurrence Prediction. ICASSP 2023: 1-5 - [c84]Pulakesh Upadhyaya, Yaobin Ling, Luyao Chen, Yejin Kim, Xiaoqian Jiang:
Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning. ICHI 2023: 49-57 - [c83]Yao-Shun Chuang, Chun-Teh Lee, Ryan Brandon, Trung Duong Tran, Oluwabunmi Tokede, Muhammad F. Walji, Xiaoqian Jiang:
Extracting Periodontitis Diagnosis in Clinical Notes with RoBERTa and Regular Expression. ICHI 2023: 200-205 - [c82]Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning. ICHI 2023: 525-526 - [c81]Ko-Hong Lin, Jay-Jiguang Zhu, Judith A. Smith, Yejin Kim, Xiaoqian Jiang:
An End-to-end In-Silico and In-Vitro Drug Repurposing Pipeline for Glioblastoma. ICHI 2023: 738-745 - [c80]Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Venkatraman Bhavani:
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping. ML4H@NeurIPS 2023: 498-511 - [c79]Erman Ayday, Jaideep Vaidya, Xiaoqian Jiang, Amalio Telenti:
Ensuring Trust in Genomics Research. TPS-ISA 2023: 1-12 - [i48]Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu:
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. CoRR abs/2302.09400 (2023) - [i47]Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, Xia Hu:
Does Synthetic Data Generation of LLMs Help Clinical Text Mining? CoRR abs/2303.04360 (2023) - [i46]Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu:
SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization. CoRR abs/2303.13035 (2023) - [i45]Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou:
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint. CoRR abs/2303.13790 (2023) - [i44]Yan Hu, Iqra Ameer, Xu Zuo, Xueqing Peng, Yujia Zhou, Zehan Li, Yiming Li, Jianfu Li, Xiaoqian Jiang, Hua Xu:
Zero-shot Clinical Entity Recognition using ChatGPT. CoRR abs/2303.16416 (2023) - [i43]Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu:
LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability. CoRR abs/2303.16756 (2023) - [i42]Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu:
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant. CoRR abs/2304.00012 (2023) - [i41]Can Li, Xiaoqian Jiang, Kai Zhang:
A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors. CoRR abs/2304.02780 (2023) - [i40]Kai Zhang, John A. Lincoln, Xiaoqian Jiang, Elmer V. Bernstam, Shayan Shams:
Predicting multiple sclerosis disease severity with multimodal deep neural networks. CoRR abs/2304.04062 (2023) - [i39]Kai Zhang, Xiaoqian Jiang:
Sensitive Data Detection with High-Throughput Machine Learning Models in Electrical Health Records. CoRR abs/2305.03169 (2023) - [i38]Tanjida Kabir, Luyao Chen, Muhammad F. Walji, Luca Giancardo, Xiaoqian Jiang, Shayan Shams:
Dental CLAIRES: Contrastive LAnguage Image REtrieval Search for Dental Research. CoRR abs/2306.15651 (2023) - [i37]Zhuohang Li, Chao Yan, Xinmeng Zhang, Gharib Gharibi, Zhijun Yin, Xiaoqian Jiang, Bradley A. Malin:
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics. CoRR abs/2308.11027 (2023) - [i36]Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Ben Hu:
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CoRR abs/2309.01808 (2023) - [i35]Can Li, Dejian Lai, Xiaoqian Jiang, Kai Zhang:
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation. CoRR abs/2310.13820 (2023) - [i34]Yao-Shun Chuang, Chun-Teh Lee, Ryan Brandon, Trung Duong Tran, Oluwabunmi Tokede, Muhammad F. Walji, Xiaoqian Jiang:
Extracting periodontitis diagnosis in clinical notes with RoBERTa and regular expression. CoRR abs/2311.10809 (2023) - [i33]Yao-Shun Chuang, Xiaoqian Jiang, Chun-Teh Lee, Ryan Brandon, Duong Tran, Oluwabunmi Tokede, Muhammad F. Walji:
Use GPT-J Prompt Generation with RoBERTa for NER Models on Diagnosis Extraction of Periodontal Diagnosis from Electronic Dental Records. CoRR abs/2311.10810 (2023) - 2022
- [j93]Su Wang, Miran Kim, Wentao Li, Xiaoqian Jiang, Han Chen, Arif Ozgun Harmanci:
Privacy-aware estimation of relatedness in admixed populations. Briefings Bioinform. 23(6) (2022) - [j92]Yan Ding, Xiaoqian Jiang, Yejin Kim:
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. Bioinform. 38(10): 2826-2831 (2022) - [j91]Muhammad Tuan Amith, Licong Cui, Degui Zhi, Kirk Roberts, Xiaoqian Jiang, Fang Li, Evan Yu, Cui Tao:
Toward a standard formal semantic representation of the model card report. BMC Bioinform. 23(1): 281 (2022) - [j90]Su Wang, Miran Kim, Xiaoqian Jiang, Arif Ozgun Harmanci:
Evaluation of vicinity-based hidden Markov models for genotype imputation. BMC Bioinform. 23(1): 356 (2022) - [j89]Miran Kim, Su Wang, Xiaoqian Jiang, Arif Ozgun Harmanci:
SVAT: Secure outsourcing of variant annotation and genotype aggregation. BMC Bioinform. 23(1): 409 (2022) - [j88]Md Momin Al Aziz, Tanbir Ahmed, Tasnia Faequa, Xiaoqian Jiang, Yiyu Yao, Noman Mohammed:
Differentially Private Medical Texts Generation Using Generative Neural Networks. ACM Trans. Comput. Heal. 3(1): 5:1-5:27 (2022) - [j87]Tsung-Ting Kuo, Xiaoqian Jiang, Haixu Tang, XiaoFeng Wang, Arif Ozgun Harmanci, Miran Kim, Kai W. Post, Diyue Bu, Tyler Bath, Jihoon Kim, Weijie Liu, Hongbo Chen, Lucila Ohno-Machado:
The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition. J. Am. Medical Informatics Assoc. 29(12): 2182-2190 (2022) - [j86]Lishan Yu, Hamisu M. Salihu, Deepa Dongarwar, Luyao Chen, Xiaoqian Jiang:
Deep graph convolutional network for US birth data harmonization. J. Biomed. Informatics 125: 103974 (2022) - [j85]Md. Monowar Anjum, Noman Mohammed, Wentao Li, Xiaoqian Jiang:
Privacy preserving collaborative learning of generalized linear mixed model. J. Biomed. Informatics 127: 104008 (2022) - [j84]Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang:
A multi-task Gaussian process self-attention neural network for real-time prediction of the need for mechanical ventilators in COVID-19 patients. J. Biomed. Informatics 130: 104079 (2022) - [j83]Md Momin Al Aziz, Md. Monowar Anjum, Noman Mohammed, Xiaoqian Jiang:
Generalized genomic data sharing for differentially private federated learning. J. Biomed. Informatics 132: 104113 (2022) - [j82]Ali Reza Ghavamipour, Fatih Turkmen, Xiaoqian Jiang:
Privacy-preserving logistic regression with secret sharing. BMC Medical Informatics Decis. Mak. 22(1): 89 (2022) - [j81]Wentao Li, Jiayi Tong, Md. Monowar Anjum, Noman Mohammed, Yong Chen, Xiaoqian Jiang:
Federated learning algorithms for generalized mixed-effects model (GLMM) on horizontally partitioned data from distributed sources. BMC Medical Informatics Decis. Mak. 22(1): 269 (2022) - [j80]Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1002-1019 (2022) - [j79]Anisa Halimi, Leonard Dervishi, Erman Ayday, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux, Xiaoqian Jiang, Jaideep Vaidya:
Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies. Proc. Priv. Enhancing Technol. 2022(3): 732-753 (2022) - [j78]Wenrui Dai, Xiaoqian Jiang, Luca Bonomi, Yong Li, Hongkai Xiong, Lucila Ohno-Machado:
VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers. IEEE Trans. Knowl. Data Eng. 34(2): 996-1010 (2022) - [c78]Leonard Dervishi, Xinyue Wang, Wentao Li, Anisa Halimi, Jaideep Vaidya, Xiaoqian Jiang, Erman Ayday:
Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy. AMIA 2022 - [c77]Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu:
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. AMIA 2022 - [c76]Tsung-Ting Kuo, Xiaoqian Jiang, Hua Xu, Li Xiong, Lucila Ohno-Machado:
Existing and emerging privacy challenges and solutions for federated data coordination. AMIA 2022 - [c75]Shiqiang Tao, Wei-Chun Chou, Jianfu Li, Jingcheng Du, Pritham Ram, Rashmie Abeysinghe, Hua Xu, Xiaoqian Jiang, Peter W. Rose, Lucila Ohno-Machado, Guo-Qiang Zhang:
IMI-CDE: an interactive interface for collaborative mapping of study variables to common data elements. ICHI 2022: 465-468 - [i32]Leonard Dervishi, Xinyue Wang, Wentao Li, Anisa Halimi, Jaideep Vaidya, Xiaoqian Jiang, Erman Ayday:
Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy. CoRR abs/2203.05664 (2022) - [i31]Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Bhavani:
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning. CoRR abs/2208.00993 (2022) - [i30]Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang:
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels. CoRR abs/2211.01628 (2022) - [i29]Yifang Dang, Fang Li, Xinyue Hu, Vipina Kuttichi Keloth, Meng Zhang, Sunyang Fu, Jingcheng Du, J. Wilfred Fan, Muhammad F. Amith, Evan Yu, Hongfang Liu, Xiaoqian Jiang, Hua Xu, Cui Tao:
Systematic Design and Evaluation of Social Determinants of Health Ontology (SDoHO). CoRR abs/2212.01941 (2022) - 2021
- [j77]Md Momin Al Aziz, Shahin Kamali, Noman Mohammed, Xiaoqian Jiang:
Online Algorithm for Differentially Private Genome-wide Association Studies. ACM Trans. Comput. Heal. 2(2): 13:1-13:27 (2021) - [j76]Yejin Kim, Shuyu Zheng, Jing Tang, W. Jim Zheng, Zhao Li, Xiaoqian Jiang:
Anticancer drug synergy prediction in understudied tissues using transfer learning. J. Am. Medical Informatics Assoc. 28(1): 42-51 (2021) - [j75]Jihoon Kim, Larissa Neumann, Paulina Paul, Michele E. Day, Michael Aratow, Douglas S. Bell, Jason N. Doctor, Ludwig Christian G. Hinske, Xiaoqian Jiang, Katherine K. Kim, Michael E. Matheny, Daniella Meeker, Mark J. Pletcher, Lisa M. Schilling, Spencer L. SooHoo, Hua Xu, Kai Zheng, Lucila Ohno-Machado:
Privacy-protecting, reliable response data discovery using COVID-19 patient observations. J. Am. Medical Informatics Assoc. 28(8): 1765-1776 (2021) - [j74]Jingcheng Du, Qing Wang, Jingqi Wang, Prerana Ramesh, Yang Xiang, Xiaoqian Jiang, Cui Tao:
COVID-19 trial graph: a linked graph for COVID-19 clinical trials. J. Am. Medical Informatics Assoc. 28(9): 1964-1969 (2021) - [j73]Jianfu Li, Yujia Zhou, Xiaoqian Jiang, Karthik Natarajan, Serguei V. S. Pakhomov, Hongfang Liu, Hua Xu:
Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition. J. Am. Medical Informatics Assoc. 28(10): 2193-2201 (2021) - [j72]Luca Bonomi, Liyue Fan, Xiaoqian Jiang:
Noise-tolerant similarity search in temporal medical data. J. Biomed. Informatics 113: 103667 (2021) - [j71]Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy Miller, Fei Wang, W. Jim Zheng, Kirk Roberts:
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review. J. Biomed. Informatics 115: 103671 (2021) - [j70]Xinyue Wang, Xiaoqian Jiang, Jaideep Vaidya:
Efficient verification for outsourced genome-wide association studies. J. Biomed. Informatics 117: 103714 (2021) - [j69]Yingxiang Huang, Xiaoqian Jiang, Rodney A. Gabriel, Lucila Ohno-Machado:
Calibrating predictive model estimates in a distributed network of patient data. J. Biomed. Informatics 117: 103758 (2021) - [j68]Tongtong Huang, Yan Chu, Shayan Shams, Yejin Kim, Ananth V. Annapragada, Devika Subramanian, Ioannis A. Kakadiaris, Assaf Gottlieb, Xiaoqian Jiang:
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates. J. Biomed. Informatics 119: 103818 (2021) - [j67]Dongdong Zhang, Changchang Yin, Katherine M. Hunold, Xiaoqian Jiang, Jeffrey M. Caterino, Ping Zhang:
An interpretable deep-learning model for early prediction of sepsis in the emergency department. Patterns 2(2): 100196 (2021) - [c74]Kanglin Hsieh, Xiaoqian Jiang, Yejin Kim, Yu-Chun Hsu:
The Combination of Graph Neuron Network and Multi-Task Learning Model for Cancer Drug Combination Prediction. AMIA 2021 - [c73]Xiaoqian Jiang, Luca Bonomi, Jaideep Vaidya, Li Xiong, Lucila Ohno-Machado:
Privacy-Preserving Federated Biomedical Data Analysis. AMIA 2021 - [c72]Tanbir Ahmed, Md Momin Al Aziz, Noman Mohammed, Xiaoqian Jiang:
Privacy preserving neural networks for electronic health records de-identification. BCB 2021: 8:1-8:6 - [c71]Kai Zhang, Xiaoqian Jiang, Mahboubeh Madadi, Luyao Chen, Sean I. Savitz, Shayan Shams:
DBNet: a novel deep learning framework for mechanical ventilation prediction using electronic health records. BCB 2021: 9:1-9:8 - [c70]Md. Monowar Anjum, Noman Mohammed, Xiaoqian Jiang:
De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective. CCS 2021: 2438-2440 - [i28]Anisa Halimi, Leonard Dervishi, Erman Ayday, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux, Xiaoqian Jiang, Jaideep Vaidya:
Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies. CoRR abs/2101.08879 (2021) - [i27]Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang:
Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network. CoRR abs/2102.01147 (2021) - [i26]Hannah Lei, Weiqi Lu, Alan Ji, Emmett Bertram, Paul Gao, Xiaoqian Jiang, Arko Barman:
COVID-19 Smart Chatbot Prototype for Patient Monitoring. CoRR abs/2103.06816 (2021) - [i25]Miran Kim, Xiaoqian Jiang, Kristin E. Lauter, Elkhan Ismayilzada, Shayan Shams:
HEAR: Human Action Recognition via Neural Networks on Homomorphically Encrypted Data. CoRR abs/2104.09164 (2021) - [i24]Yan Ding, Xiaoqian Jiang, Yejin Kim:
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. CoRR abs/2107.06773 (2021) - [i23]Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz, Jake Vasilakes, Jacob C. Solinsky, Reed McEwan, Benjamin C. Knoll, Christopher J. Tignanelli, Hongfang Liu, Hua Xu, Xiaoqian Jiang, Genevieve B. Melton, Serguei V. S. Pakhomov:
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles. CoRR abs/2108.02255 (2021) - [i22]Md. Monowar Anjum, Noman Mohammed, Xiaoqian Jiang:
De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective. CoRR abs/2108.07971 (2021) - [i21]Kai Zhang, Chao Tian, Kun Zhang, Todd Johnson, Xiaoqian Jiang:
A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy. CoRR abs/2109.04626 (2021) - [i20]Chun-Teh Lee, Tanjida Kabir, Jiman Nelson, Sally Sheng, Hsiu-Wan Meng, Thomas E. Van Dyke, Muhammad F. Walji, Xiaoqian Jiang, Shayan Shams:
Use of the Deep Learning Approach to Measure Alveolar Bone Level. CoRR abs/2109.12115 (2021) - [i19]Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark. CoRR abs/2109.12769 (2021) - [i18]Wentao Li, Jiayi Tong, Md. Monowar Anjum, Noman Mohammed, Yong Chen, Xiaoqian Jiang:
Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources. CoRR abs/2109.14046 (2021) - [i17]Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim:
Scalable Causal Structure Learning: New Opportunities in Biomedicine. CoRR abs/2110.07785 (2021) - 2020
- [j66]Jason N. Doctor, Jaideep Vaidya, Xiaoqian Jiang, Shuang Wang, Lisa M. Schilling, Toan Ong, Michael E. Matheny, Lucila Ohno-Machado, Daniella Meeker:
Efficient determination of equivalence for encrypted data. Comput. Secur. 97: 101939 (2020) - [j65]Lishan Yu, Linda Li, Elmer V. Bernstam, Xiaoqian Jiang:
A deep learning solution to recommend laboratory reduction strategies in ICU. Int. J. Medical Informatics 144: 104282 (2020) - [j64]Luca Bonomi, Xiaoqian Jiang, Lucila Ohno-Machado:
Protecting patient privacy in survival analyses. J. Am. Medical Informatics Assoc. 27(3): 366-375 (2020) - [j63]Dongha Lee, Hwanjo Yu, Xiaoqian Jiang, Deevakar Rogith, Meghana Gudala, Mubeen Tejani, Qiuchen Zhang, Li Xiong:
Generating sequential electronic health records using dual adversarial autoencoder. J. Am. Medical Informatics Assoc. 27(9): 1411-1419 (2020) - [j62]Xiao Dong, Jianfu Li, Ekin Soysal, Jiang Bian, Scott L. DuVall, Elizabeth Hanchrow, Hongfang Liu, Kristine E. Lynch, Michael E. Matheny, Karthik Natarajan, Lucila Ohno-Machado, Serguei Pakhomov, Ruth Madeleine Reeves, Amy M. Sitapati, Swapna Abhyankar, Theresa Cullen, Jami Deckard, Xiaoqian Jiang, Robert Murphy, Hua Xu:
COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes. J. Am. Medical Informatics Assoc. 27(9): 1437-1442 (2020) - [j61]Jean Louis Raisaro, Francesco Marino, Juan Ramón Troncoso-Pastoriza, Raphaelle Beau-Lejdstrom, Riccardo Bellazzi, Robert Murphy, Elmer V. Bernstam, Henry Wang, Mauro Bucalo, Yong Chen, Assaf Gottlieb, Arif Ozgun Harmanci, Miran Kim, Yejin Kim, Jeffrey G. Klann, Catherine Klersy, Bradley A. Malin, Marie Méan, Fabian Prasser, Luigia Scudeller, Ali Torkamani, Julien Vaucher, Mamta Puppala, Stephen T. C. Wong, Milana Frenkel-Morgenstern, Hua Xu, Baba Maiyaki Musa, Abdulrazaq G. Habib, Trevor Cohen, Adam B. Wilcox, Hamisu M. Salihu, Heidi Sofia, Xiaoqian Jiang, Jean-Pierre Hubaux:
SCOR: A secure international informatics infrastructure to investigate COVID-19. J. Am. Medical Informatics Assoc. 27(11): 1721-1726 (2020) - [j60]Lishan Yu, Qiuchen Zhang, Elmer V. Bernstam, Xiaoqian Jiang:
Predict or draw blood: An integrated method to reduce lab tests. J. Biomed. Informatics 104: 103394 (2020) - [j59]Dongha Lee, Xiaoqian Jiang, Hwanjo Yu:
Harmonized representation learning on dynamic EHR graphs. J. Biomed. Informatics 106: 103426 (2020) - [j58]Yejin Kim, Samden D. Lhatoo, Guo-Qiang Zhang, Luyao Chen, Xiaoqian Jiang:
Temporal phenotyping for transitional disease progress: An application to epilepsy and Alzheimer's disease. J. Biomed. Informatics 107: 103462 (2020) - [j57]Seemeen Karimi, Xiaoqian Jiang, Robert H. Dolin, Miran Kim, Aziz A. Boxwala:
A secure system for genomics clinical decision support. J. Biomed. Informatics 112: 103602 (2020) - [j56]Juan C. Mier, Yejin Kim, Xiaoqian Jiang, Guo-Qiang Zhang, Samden D. Lhatoo:
Categorisation of EEG suppression using enhanced feature extraction for SUDEP risk assessment. BMC Medical Informatics Decis. Mak. 20-S(12): 326 (2020) - [j55]Bishal Lamichhane, Yejin Kim, Santiago Segarra, Guoqiang Zhang, Samden D. Lhatoo, Jaison Hampson, Xiaoqian Jiang:
Automated detection of activity onset after postictal generalized EEG suppression. BMC Medical Informatics Decis. Mak. 20-S(12): 327 (2020) - [j54]Yejin Kim, Xiaoqian Jiang, Samden D. Lhatoo, Guoqiang Zhang, Shiqiang Tao, Licong Cui, Xiaojin Li, Robert D. Jolly, Luyao Chen, Michael Phan, Cung Ha, Marijane Detranaltes, Jiajie Zhang:
A community effort for automatic detection of postictal generalized EEG suppression in epilepsy. BMC Medical Informatics Decis. Mak. 20-S(12): 328 (2020) - [j53]Cong Zhu, Yejin Kim, Xiaoqian Jiang, Samden D. Lhatoo, Hampson Jaison, Guo-Qiang Zhang:
A lightweight convolutional neural network for assessing an EEG risk marker for sudden unexpected death in epilepsy. BMC Medical Informatics Decis. Mak. 20-S(12): 329 (2020) - [j52]Carroll Vance, Yejin Kim, Guo-Qiang Zhang, Samden D. Lhatoo, Shiqiang Tao, Licong Cui, Xiaojin Li, Xiaoqian Jiang:
Learning to detect the onset of slow activity after a generalized tonic-clonic seizure. BMC Medical Informatics Decis. Mak. 20-S(12): 330 (2020) - [j51]Li Xiong, Cyrus Shahabi, Yanan Da, Ritesh Ahuja, Vicki Hertzberg, Lance Waller, Xiaoqian Jiang, Amy Franklin:
REACT: real-time contact tracing and risk monitoring using privacy-enhanced mobile tracking. ACM SIGSPATIAL Special 12(2): 3-14 (2020) - [j50]Miran Kim, Junghye Lee, Lucila Ohno-Machado, Xiaoqian Jiang:
Secure and Differentially Private Logistic Regression for Horizontally Distributed Data. IEEE Trans. Inf. Forensics Secur. 15: 695-710 (2020) - [c69]Yi Deng, Xiaoqian Jiang, Qi Long:
Privacy-Preserving Methods for Vertically Partitioned Incomplete Data. AMIA 2020 - [c68]Hongfang Liu, Xiaoqian Jiang, Serguei V. S. Pakhomov, Chunhua Weng, Hua Xu:
The Open Health Natural Language Processing Collaboratory. AMIA 2020 - [c67]Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy A. Miller, Fei Wang, W. Jim Zheng, Kirk Roberts:
Deep Representation Learning of Patient Data from Electronic Health Records: A Systematic Review. AMIA 2020 - [c66]Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang:
Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy Labels. IEEE BigData 2020: 1103-1110 - [c65]Md Safiur Rahman Mahdi, Md. Nazmus Sadat, Noman Mohammed, Xiaoqian Jiang:
Secure Count Query on Encrypted Heterogeneous Data. DASC/PiCom/CBDCom/CyberSciTech 2020: 548-555 - [c64]Xiaojing Yu, Tianlong Chen, Zhengjie Yu, Huiyu Li, Yang Yang, Xiaoqian Jiang, Anxiao Jiang:
Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing. LREC 2020: 5829-5837 - [c63]Wenjie Wang, Pengfei Tang, Li Xiong, Xiaoqian Jiang:
RADAR: Recurrent Autoencoder Based Detector for Adversarial Examples on Temporal EHR. ECML/PKDD (4) 2020: 105-121 - [i16]Yeongjae Gil, Xiaoqian Jiang, Miran Kim, Junghye Lee:
Secure and Differentially Private Bayesian Learning on Distributed Data. CoRR abs/2005.11007 (2020) - [i15]Kanglin Hsieh, Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean I. Savitz, Xiaoqian Jiang, Jing Tang, Yejin Kim:
Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation. CoRR abs/2009.10931 (2020) - [i14]Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy Miller, Fei Wang, W. Jim Zheng, Kirk Roberts:
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review. CoRR abs/2010.02809 (2020) - [i13]Yi Deng, Xiaoqian Jiang, Qi Long:
Privacy-Preserving Methods for Vertically Partitioned Incomplete Data. CoRR abs/2012.14954 (2020)
2010 – 2019
- 2019
- [j49]Md Momin Al Aziz, Md. Nazmus Sadat, Dima Alhadidi, Shuang Wang, Xiaoqian Jiang, Cheryl L. Brown, Noman Mohammed:
Privacy-preserving techniques of genomic data - a survey. Briefings Bioinform. 20(3): 887-895 (2019) - [j48]Ziyi Li, Kirk Roberts, Xiaoqian Jiang, Qi Long:
Distributed learning from multiple EHR databases: Contextual embedding models for medical events. J. Biomed. Informatics 92 (2019) - [j47]Md. Nazmus Sadat, Md Momin Al Aziz, Noman Mohammed, Serguei Pakhomov, Hongfang Liu, Xiaoqian Jiang:
A privacy-preserving distributed filtering framework for NLP artifacts. BMC Medical Informatics Decis. Mak. 19(1): 183:1-183:10 (2019) - [j46]Yang Xiang, Jun Xu, Yuqi Si, Zhiheng Li, Laila Rasmy, Yujia Zhou, Firat Tiryaki, Fang Li, Yaoyun Zhang, Yonghui Wu, Xiaoqian Jiang, W. Jim Zheng, Degui Zhi, Cui Tao, Hua Xu:
Time-sensitive clinical concept embeddings learned from large electronic health records. BMC Medical Informatics Decis. Mak. 19-S(2): 139-148 (2019) - [j45]Bairong Shen, Xiaoqian Jiang, Xingming Zhao:
Modeling and Simulation Studies of Complex Biological Systems for Precision Medicine and Healthcare. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 91-92 (2019) - [j44]Md. Nazmus Sadat, Md Momin Al Aziz, Noman Mohammed, Feng Chen, Xiaoqian Jiang, Shuang Wang:
SAFETY: Secure gwAs in Federated Environment through a hYbrid Solution. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 93-102 (2019) - [j43]Yichen Jiang, Jenny Hamer, Chenghong Wang, Xiaoqian Jiang, Miran Kim, Yongsoo Song, Yuhou Xia, Noman Mohammed, Md. Nazmus Sadat, Shuang Wang:
SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 113-123 (2019) - [c62]Luca Bonomi, Xiaoqian Jiang, Lucila Ohno-Machado:
Protecting Patient Privacy in Survival Analyses. AMIA 2019 - [c61]Xiaoqian Jiang, Luca Bonomi, Lucila Ohno-Machado:
VERTICOX: Vertically Distributed Cox Proportional Hazards Model. AMIA 2019 - [c60]Yejin Kim, Xiaoqian Jiang, Luyao Chen, Xiaojin Li, Licong Cui:
Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization. AMIA 2019 - [c59]Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang:
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. CIKM 2019: 1291-1300 - [c58]Hao Yu, Ying Zhang, Jin Chen, Shiqiang Tao, Taylor D. Smith, Guo-Qiang Zhang, Xiaojin Li, Xiaoqian Jiang, Xiaoling Wang, Xinyu Wang:
Insomnia Prediction Using Temporal Feature of Spindles. ICHI 2019: 1-8 - [c57]Guocai Chen, Xiaoqian Jiang, Wenjin Zheng:
Feature Compression for Predicting Effective Drug Combination. SEPDA@ISWC 2019: 58-62 - [i12]Yejin Kim, Xiaoqian Jiang, Luyao Chen, Xiaojin Li, Licong Cui:
Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization. CoRR abs/1905.05827 (2019) - [i11]Xiaoqian Jiang, Samden D. Lhatoo, Guo-Qiang Zhang, Luyao Chen, Yejin Kim:
Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease. CoRR abs/1905.05830 (2019) - [i10]Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang:
From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. CoRR abs/1905.05861 (2019) - [i9]Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang:
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. CoRR abs/1908.09888 (2019) - 2018
- [j42]Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T. Dudley:
Deep learning for healthcare: review, opportunities and challenges. Briefings Bioinform. 19(6): 1236-1246 (2018) - [j41]Luyao Chen, Md Momin Al Aziz, Noman Mohammed, Xiaoqian Jiang:
Secure large-scale genome data storage and query. Comput. Methods Programs Biomed. 165: 129-137 (2018) - [j40]Feng Chen, Xiaoqian Jiang, Shuang Wang, Lisa M. Schilling, Daniella Meeker, Toan Ong, Michael E. Matheny, Jason N. Doctor, Lucila Ohno-Machado, Jaideep Vaidya:
Perfectly Secure and Efficient Two-Party Electronic-Health-Record Linkage. IEEE Internet Comput. 22(2): 32-41 (2018) - [j39]Luca Bonomi, Xiaoqian Jiang:
Patient ranking with temporally annotated data. J. Biomed. Informatics 78: 43-53 (2018) - [j38]Erman Ayday, Xiaoqian Jiang, Bradley A. Malin:
GenoPri'16: International Workshop on Genome Privacy and Security. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1403-1404 (2018) - [j37]Meng Wang, Zhanglong Ji, Hyeon-Eui Kim, Shuang Wang, Li Xiong, Xiaoqian Jiang:
Selecting Optimal Subset to Release Under Differentially Private M-Estimators from Hybrid Datasets. IEEE Trans. Knowl. Data Eng. 30(3): 573-584 (2018) - [c56]Lenore Cowen, Xiaoqian Jiang:
Highlights Talks at ACM BCB 2018. BCB 2018: 564 - [c55]Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo:
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. BIBM 2018: 683-686 - [c54]Xiaoqian Jiang, Miran Kim, Kristin E. Lauter, Yongsoo Song:
Secure Outsourced Matrix Computation and Application to Neural Networks. CCS 2018: 1209-1222 - [c53]Luca Bonomi, Xiaoqian Jiang:
Pattern Similarity in Time Interval Sequences. ICHI 2018: 434-435 - [c52]Ibrahim Lazrig, Toan C. Ong, Indrajit Ray, Indrakshi Ray, Xiaoqian Jiang, Jaideep Vaidya:
Privacy Preserving Probabilistic Record Linkage Without Trusted Third Party. PST 2018: 1-10 - [i8]Jason N. Doctor, Jaideep Vaidya, Xiaoqian Jiang, Shuang Wang, Lisa M. Schilling, Toan Ong, Michael E. Matheny, Lucila Ohno-Machado, Daniella Meeker:
Efficient Determination of Equivalence for Encrypted Data. CoRR abs/1803.03760 (2018) - [i7]Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. CoRR abs/1809.06546 (2018) - [i6]Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo:
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. CoRR abs/1811.02757 (2018) - [i5]Miran Kim, Yongsoo Song, Shuang Wang, Yuhou Xia, Xiaoqian Jiang:
Secure Logistic Regression based on Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2018: 74 (2018) - [i4]Xiaoqian Jiang, Miran Kim, Kristin E. Lauter, Yongsoo Song:
Secure Outsourced Matrix Computation and Application to Neural Networks. IACR Cryptol. ePrint Arch. 2018: 1041 (2018) - 2017
- [j36]Feng Chen, Shuang Wang, Xiaoqian Jiang, Sijie Ding, Yao Lu, Jihoon Kim, Süleyman Cenk Sahinalp, Chisato Shimizu, Jane C. Burns, Victoria J. Wright, Eileen Png, Martin L. Hibberd, David D. Lloyd, Hai Yang, Amalio Telenti, Cinnamon S. Bloss, Dov Fox, Kristin E. Lauter, Lucila Ohno-Machado:
PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS. Bioinform. 33(6): 871-878 (2017) - [j35]Meng Wang, Zhanglong Ji, Shuang Wang, Jihoon Kim, Hai Yang, Xiaoqian Jiang, Lucila Ohno-Machado:
Mechanisms to protect the privacy of families when using the transmission disequilibrium test in genome-wide association studies. Bioinform. 33(23): 3716-3725 (2017) - [j34]Jean Louis Raisaro, Florian Tramèr, Zhanglong Ji, Diyue Bu, Yongan Zhao, W. Knox Carey, David D. Lloyd, Heidi Sofia, Dixie Baker, Paul Flicek, Suyash S. Shringarpure, Carlos D. Bustamante, Shuang Wang, Xiaoqian Jiang, Lucila Ohno-Machado, Haixu Tang, XiaoFeng Wang, Jean-Pierre Hubaux:
Addressing Beacon re-identification attacks: quantification and mitigation of privacy risks. J. Am. Medical Informatics Assoc. 24(4): 799-805 (2017) - [j33]Xiaobo Sun, William S. Pittard, Tianlei Xu, Li Chen, Michael E. Zwick, Xiaoqian Jiang, Fusheng Wang, Zhaohui S. Qin:
Omicseq: a web-based search engine for exploring omics datasets. Nucleic Acids Res. 45(Webserver-Issue): W445-W452 (2017) - [j32]Wenrui Dai, Yangmei Shen, Hongkai Xiong, Xiaoqian Jiang, Junni Zou, David Taubman:
Progressive Dictionary Learning With Hierarchical Predictive Structure for Low Bit-Rate Scalable Video Coding. IEEE Trans. Image Process. 26(6): 2972-2987 (2017) - [j31]Reza Ghasemi, Md Momin Al Aziz, Noman Mohammed, Massoud Hadian Dehkordi, Xiaoqian Jiang:
Private and Efficient Query Processing on Outsourced Genomic Databases. IEEE J. Biomed. Health Informatics 21(5): 1466-1472 (2017) - [c51]Elizabeth A. Bell, Diana Guijarro, Imho Jang, Wenhong Zhu, Tyler Bath, Gwangnoh Yun, Masud Rahman, Chao Jiang, Xiaoqian Jiang, Lucila Ohno-Machado, Hyeoneui Kim:
Honoring Patient's Data Sharing Preferences: Implementation Challenges. AMIA 2017 - [c50]Chao Jiang, Xiaoqian Jiang, Shuang Wang, Diana Guijarro, Elizabeth A. Bell, Imho Jang, Gwangnoh Yun, Masud Rahman, Lucila Ohno-Machado, Hyeoneui Kim:
MALTASE: a Mobile AppLication To improve patients' Access to their data Sharing preferencE. AMIA 2017 - [c49]Le T. Phong, Xiaoqian Jiang, Shuang Wang:
A Simple and Efficient Method for Private Exact Matching. AMIA 2017 - [c48]Jaideep Vaidya, Basit Shafiq, Muazzam Asani, Nabil R. Adam, Xiaoqian Jiang, Lucila Ohno-Machado:
A Scalable Privacy-preserving Data Generation Methodology for Exploratory Analysis. AMIA 2017 - [c47]Chenghong Wang, Yichen Jiang, Feng Chen, Noman Mohammed, Xiaoqian Jiang, Md Momin Al Aziz, Md. Nazmus Sadat, Shuang Wang:
SCOTCH: Secure Counting Of encrypTed genomiC data using a Hybrid approach. AMIA 2017 - [c46]Yejin Kim, Jingyun Choi, Yosep Chong, Xiaoqian Jiang, Hwanjo Yu:
DiagTree: Diagnostic Tree for Differential Diagnosis. CIKM 2017: 1179-1188 - [c45]Xiaoqian Jiang, Claudiu Farcas, Benedict Paten, Mark Diekhans, Paul Avillach, Wallace Wadge, David Haussler, Lucila Ohno-Machado, Ida Sim:
Count Everything: Secure Count Query Framework Across Big Data Centers. CRI 2017 - [c44]Luca Bonomi, Xiaoqian Jiang:
A Mortality Study for ICU Patients Using Bursty Medical Events. ICDE 2017: 1533-1540 - [c43]Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang:
Federated Tensor Factorization for Computational Phenotyping. KDD 2017: 887-895 - [c42]Haoran Li, Li Xiong, Zhanglong Ji, Xiaoqian Jiang:
Partitioning-Based Mechanisms Under Personalized Differential Privacy. PAKDD (1) 2017: 615-627 - [i3]Md. Nazmus Sadat, Md Momin Al Aziz, Noman Mohammed, Feng Chen, Shuang Wang, Xiaoqian Jiang:
SAFETY: Secure gwAs in Federated Environment Through a hYbrid solution with Intel SGX and Homomorphic Encryption. CoRR abs/1703.02577 (2017) - [i2]Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang:
Federated Tensor Factorization for Computational Phenotyping. CoRR abs/1704.03141 (2017) - 2016
- [j30]Shuang Wang, Yuchen Zhang, Wenrui Dai, Kristin E. Lauter, Miran Kim, Yuzhe Richard Tang, Hongkai Xiong, Xiaoqian Jiang:
HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS. Bioinform. 32(2): 211-218 (2016) - [j29]Yong Li, Xiaoqian Jiang, Shuang Wang, Hongkai Xiong, Lucila Ohno-Machado:
VERTIcal Grid lOgistic regression (VERTIGO). J. Am. Medical Informatics Assoc. 23(3): 570-579 (2016) - [j28]Lei Yang, Shuang Wang, Xiaoqian Jiang, Samuel Cheng, Hyeon-Eui Kim:
PATTERN: Pain Assessment for paTients who can't TEll using Restricted Boltzmann machiNe. BMC Medical Informatics Decis. Mak. 16(S-3): 73 (2016) - [j27]Haoyi Shi, Chao Jiang, Wenrui Dai, Xiaoqian Jiang, Yuzhe Richard Tang, Lucila Ohno-Machado, Shuang Wang:
Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE). BMC Medical Informatics Decis. Mak. 16(S-3): 89 (2016) - [c41]Luca Bonomi, Xiaoqian Jiang:
Linking patients with non-PHI data. AMIA 2016 - [c40]Feng Chen, Michelle Dow, Sijie Ding, Yao Lu, Xiaoqian Jiang, Hua Tang, Shuang Wang:
PREMIX: PRivacy-preserving EstiMation of Individual admiXture. AMIA 2016 - [c39]Yuan Luo, Jimeng Sun, Xiaoqian Jiang, Fei Wang:
Computational Phenotyping Methods. AMIA 2016 - [c38]Michael E. Matheny, Dax M. Westerman, Laura Pearlman, Josh Gieringer, Xiaoqian Jiang, Claudiu Farcas, Tara K. Knight, Shuang Wang, Amy Perkins, Lucila Ohno-Machado, Bill Clarke, Daniella Meeker:
An Integrated Privacy Preserving Collaborative Analytics Platform: The PCORnet pSCANNER-PopMedNet TM Software Suite. AMIA 2016 - [c37]Daniella Meeker, Abel N. Kho, Toan C. Ong, Xiaoqian Jiang, Jason N. Doctor:
Secure Record Linkage for Precision Medicine and Patient Centered Outcomes Research. AMIA 2016 - [c36]Lucila Ohno-Machado, George Hripcsak, Michael E. Matheny, Yuan Wu, Xiaoqian Jiang:
Calibration of Predictive Models for Clinical Decision Making: Personalizing Prevention, Treatment, and Disease Progression. AMIA 2016 - [c35]Lucila Ohno-Machado, Hyeon-Eui Kim, Elizabeth A. Bell, Xiaoqian Jiang, Dexter Friedman, Claudiu Farcas:
iCONCUR: informed CONsent for Clinical data and biosample Use for Research. AMIA 2016 - 2015
- [j26]Yongan Zhao, XiaoFeng Wang, Xiaoqian Jiang, Lucila Ohno-Machado, Haixu Tang:
Choosing blindly but wisely: differentially private solicitation of DNA datasets for disease marker discovery. J. Am. Medical Informatics Assoc. 22(1): 100-108 (2015) - [j25]Dong Han, Shuang Wang, Chao Jiang, Xiaoqian Jiang, Hyeon-Eui Kim, Jimeng Sun, Lucila Ohno-Machado:
Trends in biomedical informatics: automated topic analysis of JAMIA articles. J. Am. Medical Informatics Assoc. 22(6): 1153-1163 (2015) - [j24]Daniella Meeker, Xiaoqian Jiang, Michael E. Matheny, Claudiu Farcas, Michel D'Arcy, Laura Pearlman, Lavanya Nookala, Michele E. Day, Katherine K. Kim, Hyeoneui Kim, Aziz A. Boxwala, Robert E. El-Kareh, Grace Kuo, Frederic S. Resnic, Carl Kesselman, Lucila Ohno-Machado:
A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research. J. Am. Medical Informatics Assoc. 22(6): 1187-1195 (2015) - [j23]Chia-Lun Lu, Shuang Wang, Zhanglong Ji, Yuan Wu, Li Xiong, Xiaoqian Jiang, Lucila Ohno-Machado:
WebDISCO: a web service for distributed cox model learning without patient-level data sharing. J. Am. Medical Informatics Assoc. 22(6): 1212-1219 (2015) - [j22]Yuan Wu, Xiaoqian Jiang, Shuang Wang, Wenchao Jiang, Pinghao Li, Lucila Ohno-Machado:
Grid multi-category response logistic models. BMC Medical Informatics Decis. Mak. 15: 10 (2015) - [j21]Scott D. Constable, Yuzhe Tang, Shuang Wang, Xiaoqian Jiang, Steve Chapin:
Privacy-preserving GWAS analysis on federated genomic datasets. BMC Medical Informatics Decis. Mak. 15-S(5): S2 (2015) - [j20]Yuchen Zhang, Wenrui Dai, Xiaoqian Jiang, Hongkai Xiong, Shuang Wang:
FORESEE: Fully Outsourced secuRe gEnome Study basEd on homomorphic Encryption. BMC Medical Informatics Decis. Mak. 15-S(5): S5 (2015) - [c34]Feng Chen, Noman Mohammed, Shuang Wang, Wenbo He, Samuel Cheng, Xiaoqian Jiang:
Cloud-assisted distributed private data sharing. BCB 2015: 202-211 - [c33]Haoran Li, Li Xiong, Xiaoqian Jiang, Jinfei Liu:
Differentially Private Histogram Publication for Dynamic Datasets: an Adaptive Sampling Approach. CIKM 2015: 1001-1010 - [c32]Jinoh Oh, Wook-Shin Han, Hwanjo Yu, Xiaoqian Jiang:
Fast and Robust Parallel SGD Matrix Factorization. KDD 2015: 865-874 - [p3]Haoran Li, Li Xiong, Xiaoqian Jiang:
Differentially Private Histogram and Synthetic Data Publication. Medical Data Privacy Handbook 2015: 35-58 - [p2]Shuang Wang, Xiaoqian Jiang, Dov Fox, Lucila Ohno-Machado:
Preserving Genome Privacy in Research Studies. Medical Data Privacy Handbook 2015: 425-441 - [p1]Noman Mohammed, Shuang Wang, Rui Chen, Xiaoqian Jiang:
Private Genome Data Dissemination. Medical Data Privacy Handbook 2015: 443-461 - 2014
- [j19]Son Doan, Ko-Wei Lin, Mike Conway, Lucila Ohno-Machado, Alexander Hsieh, Stephanie Feudjio Feupe, Asher Garland, Mindy K. Ross, Xiaoqian Jiang, Seena Farzaneh, Rebecca Walker, Neda Alipanah, Jing Zhang, Hua Xu, Hyeoneui Kim:
PhenDisco: phenotype discovery system for the database of genotypes and phenotypes. J. Am. Medical Informatics Assoc. 21(1): 31-36 (2014) - [j18]Pinghao Li, Xiaoqian Jiang, Shuang Wang, Jihoon Kim, Hongkai Xiong, Lucila Ohno-Machado:
HUGO: Hierarchical mUlti-reference Genome cOmpression for aligned reads. J. Am. Medical Informatics Assoc. 21(2): 363-373 (2014) - [j17]Xiaoqian Jiang, Yongan Zhao, Xiaofeng Fang, Bradley A. Malin, Shuang Wang, Lucila Ohno-Machado, Haixu Tang:
A community assessment of privacy preserving techniques for human genomes. BMC Medical Informatics Decis. Mak. 14(S-1): S1 (2014) - [j16]Aditya Krishna Menon, Xiaoqian Jiang, Jihoon Kim, Jaideep Vaidya, Lucila Ohno-Machado:
Detecting inappropriate access to electronic health records using collaborative filtering. Mach. Learn. 95(1): 87-101 (2014) - [j15]Haoran Li, Li Xiong, Lifan Zhang, Xiaoqian Jiang:
DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing. Proc. VLDB Endow. 7(13): 1677-1680 (2014) - [j14]Botao Wang, Hongkai Xiong, Xiaoqian Jiang, Yuan F. Zheng:
Data-Driven Hierarchical Structure Kernel for Multiscale Part-Based Object Recognition. IEEE Trans. Image Process. 23(4): 1765-1778 (2014) - [c31]Hyeoneui Kim, Lucila Ohno-Machado, Janet Oh, Xiaoqian Jiang:
Trends in Publication of Nursing Informatics Research. AMIA 2014 - [c30]Wei Wei, Shuang Wang, Xiaoqian Jiang, Lucila Ohno-Machado:
A Keyword Suggestion Strategy Based on Citation Networks. AMIA 2014 - [c29]Xin Tang, Hongkai Xiong, Xiaoqian Jiang:
Multiscale Online Dictionary Learning for Quality Scalable Video Coding. DCC 2014: 428 - [c28]Haoran Li, Li Xiong, Xiaoqian Jiang:
Differentially Private Synthesization of Multi-Dimensional Data using Copula Functions. EDBT 2014: 475-486 - [c27]Hyeoneui Kim, Heejoon Chung, Shuang Wang, Xiaoqian Jiang, Jeeyae Choi:
SAPPIRE: a Prototype Mobile Tool for Pressure Ulcer Risk Assessment. Nursing Informatics 2014: 433-440 - 2013
- [j13]Wenchao Jiang, Pinghao Li, Shuang Wang, Yuan Wu, Meng Xue, Lucila Ohno-Machado, Xiaoqian Jiang:
WebGLORE: a Web service for Grid LOgistic REgression. Bioinform. 29(24): 3238-3240 (2013) - [j12]James J. Gardner, Li Xiong, Yonghui Xiao, Jingjing Gao, Andrew R. Post, Xiaoqian Jiang, Lucila Ohno-Machado:
SHARE: system design and case studies for statistical health information release. J. Am. Medical Informatics Assoc. 20(1): 109-116 (2013) - [j11]Noman Mohammed, Xiaoqian Jiang, Rui Chen, Benjamin C. M. Fung, Lucila Ohno-Machado:
Privacy-preserving heterogeneous health data sharing. J. Am. Medical Informatics Assoc. 20(3): 462-469 (2013) - [j10]Shuang Wang, Xiaoqian Jiang, Yuan Wu, Lijuan Cui, Samuel Cheng, Lucila Ohno-Machado:
EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed privacy-preserving online model learning. J. Biomed. Informatics 46(3): 480-496 (2013) - [j9]Wenrui Dai, Hongkai Xiong, Xiaoqian Jiang, Chang Wen Chen:
Structured Set Intra Prediction With Discriminative Learning in a Max-Margin Markov Network for High Efficiency Video Coding. IEEE Trans. Circuits Syst. Video Technol. 23(11): 1941-1956 (2013) - [j8]Xiaoqian Jiang, Zhanglong Ji, Shuang Wang, Noman Mohammed, Samuel Cheng, Lucila Ohno-Machado:
Differential-Private Data Publishing Through Component Analysis. Trans. Data Priv. 6(1): 19-34 (2013) - [c26]Shuang Wang, Xiaoqian Jiang, Robert E. El-Kareh, Jeeyae Choi, Hyeon-Eui Kim:
When you can't tell when it hurts: a preliminary algorithm to assess pain in patients who can't communicate. AMIA 2013 - [c25]Su Yan, Xiaoqian Jiang, Ying Chen:
Text mining driven drug-drug interaction detection. BIBM 2013: 349-354 - [c24]Wenrui Dai, Hongkai Xiong, Xiaoqian Jiang, Lucila Ohno-Machado:
An Adaptive Difference Distribution-Based Coding with Hierarchical Tree Structure for DNA Sequence Compression. DCC 2013: 371-380 - [c23]Shuang Wang, Xiaoqian Jiang, Lijuan Cui, Wenrui Dai, Nikos Deligiannis, Pinghao Li, Hongkai Xiong, Samuel Cheng, Lucila Ohno-Machado:
Genome Sequence Compression with Distributed Source Coding. DCC 2013: 525 - [c22]Aminmohammad Roozgard, Nafise Barzigar, Shuang Wang, Xiaoqian Jiang, Lucila Ohno-Machado, Samuel Cheng:
Nucleotide sequence alignment using sparse coding and belief propagation. EMBC 2013: 588-591 - 2012
- [j7]Lucila Ohno-Machado, Vineet Bafna, Aziz A. Boxwala, Brian E. Chapman, Wendy Webber Chapman, Kamalika Chaudhuri, Michele E. Day, Claudiu Farcas, Nathaniel D. Heintzman, Xiaoqian Jiang, Hyeoneui Kim, Jihoon Kim, Michael E. Matheny, Frederic S. Resnic, Staal Amund Vinterbo:
iDASH: integrating data for analysis, anonymization, and sharing. J. Am. Medical Informatics Assoc. 19(2): 196-201 (2012) - [j6]Xiaoqian Jiang, Melanie Osl, Jihoon Kim, Lucila Ohno-Machado:
Calibrating predictive model estimates to support personalized medicine. J. Am. Medical Informatics Assoc. 19(2): 263-274 (2012) - [j5]Yuan Wu, Xiaoqian Jiang, Jihoon Kim, Lucila Ohno-Machado:
Grid Binary LOgistic REgression (GLORE): building shared models without sharing data. J. Am. Medical Informatics Assoc. 19(5): 758-764 (2012) - [j4]Xiaoqian Jiang, Aziz A. Boxwala, Robert E. El-Kareh, Jihoon Kim, Lucila Ohno-Machado:
A patient-driven adaptive prediction technique to improve personalized risk estimation for clinical decision support. J. Am. Medical Informatics Assoc. 19(e1) (2012) - [j3]Shuang Wang, Lijuan Cui, Jialan Que, Dae-Hyun Choi, Xiaoqian Jiang, Samuel Cheng, Le Xie:
A Randomized Response Model for Privacy Preserving Smart Metering. IEEE Trans. Smart Grid 3(3): 1317-1324 (2012) - [c21]Xiaoqian Jiang, Jihoon Kim, Yuan Wu, Lucila Ohno-Machado:
Selecting Cases for Whom Additional Tests Can Improve Prognostication. AMIA 2012 - [c20]Jialan Que, Xiaoqian Jiang, Lucila Ohno-Machado:
A Collaborative Framework for Distributed Privacy-Preserving Support Vector Machine Learning. AMIA 2012 - [c19]Yuan Wu, Xiaoqian Jiang, Lucila Ohno-Machado:
Institutional Privacy-preserving Distributed binary Logistic Regression (IPDLR). AMIA 2012 - [c18]Qingxiang Zhu, Hongkai Xiong, Xiaoqian Jiang:
Pulmonary Blood Vessels and Nodules Segmentation via Vessel Energy Function and Radius-Variable Sphere Model. HISB 2012: 121 - [c17]Shuang Wang, Xiaoqian Jiang, Lucila Ohno-Machado, Lijuan Cui, Samuel Cheng, Hongkai Xiong:
Privacy-Preserving Biometric System for Secure Fingerprint Authentication. HISB 2012: 128 - [c16]Shuang Wang, Xiaoqian Jiang, Lucila Ohno-Machado, Lijuan Cui, Samuel Cheng:
SecUre Privacy-presERving Medical Image CompRessiOn (SUPERMICRO). HISB 2012: 130 - [c15]Xiaoqian Jiang, Shuang Wang, Zhanglong Ji, Lucila Ohno-Machado, Li Xiong:
A Randomized Response Model for Privacy-Preserving Data Dissemination. HISB 2012: 138 - [c14]Seemeen Karimi, Xiaoqian Jiang, Pamela C. Cosman, Harry E. Martz:
Evaluation of Segmentation Algorithms in CT Scanning. HISB 2012: 139 - [c13]Botao Wang, Hongkai Xiong, Xiaoqian Jiang, Fan Ling:
Semi-supervised object recognition using structure kernel. ICIP 2012: 2157-2160 - [c12]Aditya Krishna Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan, Lucila Ohno-Machado:
Predicting accurate probabilities with a ranking loss. ICML 2012 - [c11]Qingxiang Zhu, Hongkai Xiong, Xiaoqian Jiang:
Shape-oriented segmentation with graph matching corroboration for silhouette tracking. VCIP 2012: 1-6 - [i1]Aditya Krishna Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan, Lucila Ohno-Machado:
Predicting accurate probabilities with a ranking loss. CoRR abs/1206.4661 (2012) - 2011
- [j2]Hyeoneui Kim, Xiaoqian Jiang, Jihoon Kim, Lucila Ohno-Machado:
Trends in biomedical informatics: most cited topics from recent years. J. Am. Medical Informatics Assoc. 18(Supplement): 166-170 (2011) - 2010
- [c10]Xiaoqian Jiang, Bing Dong, Le Xie, Latanya Sweeney:
Adaptive Gaussian Process for Short-Term Wind Speed Forecasting. ECAI 2010: 661-666 - [c9]Xiaoqian Jiang, Qi Wu, Peng Tao, Latanya Sweeney:
Structure preserving semantic coherent object segmentation. ICIP 2010: 2209-2212 - [c8]Xiaoqian Jiang, Bing Dong, Latanya Sweeney:
Temporal Maximum Margin Markov Network. ECML/PKDD (1) 2010: 587-600
2000 – 2009
- 2009
- [c7]Xian Qian, Xiaoqian Jiang, Qi Zhang, Xuanjing Huang, Lide Wu:
Sparse higher order conditional random fields for improved sequence labeling. ICML 2009: 849-856 - 2008
- [j1]Jaideep Vaidya, Hwanjo Yu, Xiaoqian Jiang:
Privacy-preserving SVM classification. Knowl. Inf. Syst. 14(2): 161-178 (2008) - 2007
- [c6]Xiaoqian Jiang, Wanhong Xu, Latanya Sweeney, Yiheng Li, Ralph Gross, Daniel Yurovsky:
New Directions in Contact Free Hand Recognition. ICIP (2) 2007: 389-392 - [c5]Xiaoqian Jiang, Wanhong Xu, Yiheng Li, Latanya Sweeney, Ralph Gross, Daniel Yurovsky:
2D Image Database Indexing: A Coefficient-Based Approach. ICME 2007: 2210-2213 - 2006
- [c4]Hwanjo Yu, Jaideep Vaidya, Xiaoqian Jiang:
Privacy-Preserving SVM Classification on Vertically Partitioned Data. PAKDD 2006: 647-656 - [c3]Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya:
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data. SAC 2006: 603-610 - 2005
- [c2]Scott Davis, Xiaoqian Jiang, Greg Nichols, James Cremer:
Exploring volume rendering with path tracing. SIGGRAPH Posters 2005: 47 - [c1]Xiaoqian Jiang, Young H. Kwon, Lee M. Alward, Michael D. Abràmoff:
Robust automatic optic disk segmentation. SIGGRAPH Posters 2005: 134
Coauthor Index
Hyeon-Eui Kim
aka: Hyeoneui Kim
aka: Hyeoneui Kim
[c88] [j102] [j97] [j87] [j78] [c76] [c75] [j75] [j69] [c73] [j66] [j64] [j62] [j50] [c62] [c61] [j40] [i8] [j36] [j35] [j34] [c51] [c50] [c48] [c45] [j29] [j27] [c38] [c36] [c35] [j26] [j25] [j24] [j23] [j22] [p2] [j19] [j18] [j17] [j16] [c31] [c30] [j13] [j12] [j11] [j10] [j8] [c24] [c23] [c22] [j7] [j6] [j5] [j4] [c21] [c20] [c19] [c17] [c16] [c15] [c12] [i1] [j2]
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