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Cooperative Localization in Massive Networks


Oct 15, 2021
Yifeng Xiong, Nan Wu, Yuan Shen, Moe Z. Win


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Inferring Manifolds From Noisy Data Using Gaussian Processes


Oct 14, 2021
David B Dunson, Nan Wu

* 42 pages, 14 figures 

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Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation


Sep 13, 2021
Nan Wu, Huake He, Yuan Xie, Pan Li, Cong Hao


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Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis


Jun 15, 2021
Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Chłędowski, Carlos Fernandez-Granda, Krzysztof J. Geras

* The last two authors contributed equally. Accepted to Medical Imaging with Deep Learning (MIDL) 2021 

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IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning


Feb 16, 2021
Nan Wu, Yuan Xie, Cong Hao


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A Survey of Machine Learning for Computer Architecture and Systems


Feb 16, 2021
Nan Wu, Yuan Xie


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Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation


Jan 25, 2021
Xiuyuan Cheng, Nan Wu


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Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for Emerging Storage Models


Nov 13, 2020
Nan Wu, Pengcheng Li


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Diffusion Based Gaussian Processes on Restricted Domains


Oct 14, 2020
David B Dunson, Hau-Tieng Wu, Nan Wu

* 27 pages, 10 figures 

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Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms


Sep 19, 2020
Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, S. Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras


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An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department


Aug 04, 2020
Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanisław Jastrzębski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras


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Strong Uniform Consistency with Rates for Kernel Density Estimators with General Kernels on Manifolds


Jul 13, 2020
Hau-Tieng Wu, Nan Wu

* 44 pages 

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Data-driven Efficient Solvers and Predictions of Conformational Transitions for Langevin Dynamics on Manifold in High Dimensions


May 22, 2020
Yuan Gao, Jian-Guo Liu, Nan Wu

* 59 pages, 16 figures 

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An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization


Feb 13, 2020
Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras


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Memristor Hardware-Friendly Reinforcement Learning


Jan 20, 2020
Nan Wu, Adrien Vincent, Dmitri Strukov, Yuan Xie


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Improving localization-based approaches for breast cancer screening exam classification


Aug 01, 2019
Thibault FĂ©vry, Jason Phang, Nan Wu, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

* MIDL 2019 [arXiv:1907.08612] 

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Screening Mammogram Classification with Prior Exams


Jul 30, 2019
Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

* MIDL 2019 [arXiv:1907.08612] 

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The Value of Collaboration in Convex Machine Learning with Differential Privacy


Jun 24, 2019
Nan Wu, Farhad Farokhi, David Smith, Mohamed Ali Kaafar

* IEEE Symposium on Security and Privacy 2020 (IEEE SP 2020) 
* Accepted in IEEE S&P 2020 

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Globally-Aware Multiple Instance Classifier for Breast Cancer Screening


Jun 07, 2019
Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras


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Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening


Mar 20, 2019
Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanisław Jastrzębski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, S. Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras


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Network Modeling and Pathway Inference from Incomplete Data ("PathInf")


Oct 01, 2018
Xiang Li, Qitian Chen, Xing Wang, Ning Guo, Nan Wu, Quanzheng Li

* Xiang Li, Qitian Che and Xing Wang contribute equally to this work 

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High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks


Jun 28, 2018
Krzysztof J. Geras, Stacey Wolfson, Yiqiu Shen, Nan Wu, S. Gene Kim, Eric Kim, Laura Heacock, Ujas Parikh, Linda Moy, Kyunghyun Cho


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Breast density classification with deep convolutional neural networks


Nov 10, 2017
Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, S. Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho


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