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K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets


Jun 11, 2021
Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

* Accepted by ICML 2021 

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BCNet: Searching for Network Width with Bilaterally Coupled Network


May 21, 2021
Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

* Accepted by CVPR 2021 

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Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation


May 14, 2021
Tianrui Hui, Shaofei Huang, Si Liu, Zihan Ding, Guanbin Li, Wenguan Wang, Jizhong Han, Fei Wang

* Accepted by CVPR 2021 

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Retrieving Complex Tables with Multi-Granular Graph Representation Learning


May 04, 2021
Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro Szekely

* Accepted by SIGIR 2021 

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Research on Optimization Method of Multi-scale Fish Target Fast Detection Network


Apr 11, 2021
Yang Liu, Shengmao Zhang, Fei Wang, Wei Fan, Guohua Zou, Jing Bo


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MogFace: Rethinking Scale Augmentation on the Face Detector


Mar 29, 2021
Yang Liu, Fei Wang, Baigui Sun, Hao Li


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Prioritized Architecture Sampling with Monto-Carlo Tree Search


Mar 22, 2021
Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

* Accepted by CVPR2021. We also release a NAS benchmark on the one-shot MobileNetV2 search space 

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Reformulating HOI Detection as Adaptive Set Prediction


Mar 10, 2021
Mingfei Chen, Yue Liao, Si Liu, Zhiyuan Chen, Fei Wang, Chen Qian

* Accepted to CVPR 2021 

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Locally Free Weight Sharing for Network Width Search


Feb 24, 2021
Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

* Accepted by ICLR 2021 Spotlight 

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Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search


Jan 27, 2021
Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin


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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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