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Differentially-private Federated Neural Architecture Search

Jun 22, 2020
Ishika Singh, Haoyi Zhou, Kunlin Yang, Meng Ding, Bill Lin, Pengtao Xie


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Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms

Jun 19, 2020
Xingyi Yang, Xuehai He, Yuxiao Liang, Yue Yang, Shanghang Zhang, Pengtao Xie


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XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports

Jun 17, 2020
Xingyi Yang, Nandiraju Gireesh, Eric Xing, Pengtao Xie


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CERT: Contrastive Self-supervised Learning for Language Understanding

May 16, 2020
Hongchao Fang, Pengtao Xie


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On the Generation of Medical Dialogues for COVID-19

May 11, 2020
Wenmian Yang, Guangtao Zeng, Bowen Tan, Zeqian Ju, Subrato Chakravorty, Xuehai He, Shu Chen, Xingyi Yang, Qingyang Wu, Zhou Yu, Eric Xing, Pengtao Xie


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MedDialog: A Large-scale Medical Dialogue Dataset

Apr 07, 2020
Shu Chen, Zeqian Ju, Xiangyu Dong, Hongchao Fang, Sicheng Wang, Yue Yang, Jiaqi Zeng, Ruisi Zhang, Ruoyu Zhang, Meng Zhou, Penghui Zhu, Pengtao Xie


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Identifying Radiological Findings Related to COVID-19 from Medical Literature

Apr 04, 2020
Yuxiao Liang, Pengtao Xie


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COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Mar 30, 2020
Jinyu Zhao, Yichen Zhang, Xuehai He, Pengtao Xie


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PathVQA: 30000+ Questions for Medical Visual Question Answering

Mar 07, 2020
Xuehai He, Yichen Zhang, Luntian Mou, Eric Xing, Pengtao Xie


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Generalized Zero-shot ICD Coding

Sep 28, 2019
Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric Xing


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Adversarial Domain Adaptation Being Aware of Class Relationships

May 28, 2019
Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing


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Explaining a black-box using Deep Variational Information Bottleneck Approach

Feb 19, 2019
Seojin Bang, Pengtao Xie, Wei Wu, Eric Xing


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Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records

Nov 26, 2018
Xiangan Liu, Keyang Xu, Pengtao Xie, Eric Xing

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures

Nov 19, 2018
Hongyang Zhang, Susu Xu, Jiantao Jiao, Pengtao Xie, Ruslan Salakhutdinov, Eric P. Xing

* 27 pages, 13 figures, 6 tables 

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Multimodal Machine Learning for Automated ICD Coding

Oct 31, 2018
Keyang Xu, Mike Lam, Jingzhi Pang, Xin Gao, Charlotte Band, Piyush Mathur MD, Frank Papay MD, Ashish K. Khanna MD, Jacek B. Cywinski MD, Kamal Maheshwari MD, Pengtao Xie, Eric Xing


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Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition

Aug 15, 2018
Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, Eric P Xing

* Machine Learning for Healthcare (MLHC) 2018, Comments: 12 pages, updated authors affiliations 

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Missing Value Imputation Based on Deep Generative Models

Aug 05, 2018
Hongbao Zhang, Pengtao Xie, Eric Xing


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On the Automatic Generation of Medical Imaging Reports

Jul 20, 2018
Baoyu Jing, Pengtao Xie, Eric Xing

* ACL 2018 

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Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis

Feb 16, 2018
Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing


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Convolutional Neural Networks for Medical Diagnosis from Admission Notes

Dec 06, 2017
Christy Li, Dimitris Konomis, Graham Neubig, Pengtao Xie, Carol Cheng, Eric Xing


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Predicting Discharge Medications at Admission Time Based on Deep Learning

Dec 05, 2017
Yuan Yang, Pengtao Xie, Xin Gao, Carol Cheng, Christy Li, Hongbao Zhang, Eric Xing


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Towards Automated ICD Coding Using Deep Learning

Nov 30, 2017
Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing


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Learning Less-Overlapping Representations

Nov 25, 2017
Pengtao Xie, Hongbao Zhang, Eric P. Xing


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Stacked Kernel Network

Nov 25, 2017
Shuai Zhang, Jianxin Li, Pengtao Xie, Yingchun Zhang, Minglai Shao, Haoyi Zhou, Mengyi Yan


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Diversity-Promoting Bayesian Learning of Latent Variable Models

Nov 23, 2017
Pengtao Xie, Jun Zhu, Eric P. Xing


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Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning

Nov 16, 2017
Shiyue Zhang, Pengtao Xie, Dong Wang, Eric P. Xing


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Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters

Jun 11, 2017
Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing

* To appear in 2017 USENIX Annual Technical Conference 

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Strategies and Principles of Distributed Machine Learning on Big Data

Dec 31, 2015
Eric P. Xing, Qirong Ho, Pengtao Xie, Wei Dai


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Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization

Dec 23, 2015
Pengtao Xie, Yuntian Deng, Eric Xing


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Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines

Dec 19, 2015
Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric Xing

* 14 pages, 8 figures, 6 tables 

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