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Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients

Jan 11, 2021
Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, ArifulAzad, Fei Wang, Ying Ding, Benjamin S. Glicksberg

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Biomedical Knowledge Graph Refinement with Embedding and Logic Rules

Dec 02, 2020
Sendong Zhao, Bing Qin, Ting Liu, Fei Wang

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3D Registration for Self-Occluded Objects in Context

Nov 23, 2020
Zheng Dang, Fei Wang, Mathieu Salzmann

* 8 pages 

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Explicitly Learning Topology for Differentiable Neural Architecture Search

Nov 18, 2020
Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, Changshui Zhang

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A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task

Nov 17, 2020
Minglei Lu, Yu Guo, Fei Wang, Zheng Dang

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Data Agnostic Filter Gating for Efficient Deep Networks

Oct 28, 2020
Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

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ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding

Oct 13, 2020
Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin

* NeurIPS 2020 

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Robust Finite Mixture Regression for Heterogeneous Targets

Oct 12, 2020
Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang

* Data Mining and Knowledge Discovery, volume 32, pages 1509 to 1560, year 2018 

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Domain Agnostic Learning for Unbiased Authentication

Oct 11, 2020
Jian Liang, Yuren Cao, Shuang Li, Bing Bai, Hao Li, Fei Wang, Kun Bai

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Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review

Oct 06, 2020
Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy Miller, Fei Wang, W. Jim Zheng, Kirk Roberts

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Suicide Risk Modeling with Uncertain Diagnostic Records

Sep 05, 2020
Wenjie Wang, Chongliang Luo, Robert H. Aseltine, Fei Wang, Jun Yan, Kun Chen

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A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations

Aug 25, 2020
Mingkai Huang, Hao Li, Bing Bai, Chang Wang, Kun Bai, Fei Wang

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A(DP)$^2$SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy

Aug 21, 2020
Jie Xu, Wei Zhang, Fei Wang

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Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning

Aug 07, 2020
Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li

* 7 pages, 2 figures 

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Visualizing Deep Graph Generative Models for Drug Discovery

Jul 20, 2020
Karan Yang, Chengxi Zang, Fei Wang

* 4 pages, 2020 KDD Workshop on Applied Data Science for Healthcare 

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Adversarial Infidelity Learning for Model Interpretation

Jun 27, 2020
Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang

* 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '20), August 23--27, 2020, Virtual Event, USA 

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MoFlow: An Invertible Flow Model for Generating Molecular Graphs

Jun 17, 2020
Chengxi Zang, Fei Wang

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Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration

Jun 16, 2020
Zheng Dang, Fei Wang, Mathieu Salzmann

* 11 pages 

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xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility

Jun 16, 2020
Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang

* change the places of the last four figures 

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Why is Attention Not So Attentive?

Jun 10, 2020
Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang

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General-Purpose User Embeddings based on Mobile App Usage

May 27, 2020
Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang

* To be published in the KDD2020 proceedings as a full paper 

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Multi-Scale Boosted Dehazing Network with Dense Feature Fusion

Apr 28, 2020
Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, Ming-Hsuan Yang

* Accepted by CVPR 2020. The code are available at 

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Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

Apr 15, 2020
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann

* 16 pages, Accepted by TPAMI. arXiv admin note: substantial text overlap with arXiv:1803.08071 

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Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling

Mar 25, 2020
Jun Yang, Fei Wang

* 14 pages, 8 figures 

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GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet

Mar 25, 2020
Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang

* To appear in CVPR 2020 

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CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

Mar 20, 2020
Zhiwei Dong, Guoxuan Li, Yue Liao, Fei Wang, Pengju Ren, Chen Qian

* Accepted by CVPR2020 

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