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Graph Convolutional Networks for Graphs Containing Missing Features

Jul 09, 2020
Hibiki Taguchi, Xin Liu, Tsuyoshi Murata


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Making Adversarial Examples More Transferable and Indistinguishable

Jul 08, 2020
Junhua Zou, Zhisong Pan, Junyang Qiu, Yexin Duan, Xin Liu, Yu Pan


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Deep Low-rank Prior in Dynamic MR Imaging

Jul 06, 2020
Ziwen Ke, Wenqi Huang, Jing Cheng, Zhuoxu Cui, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang

* 13 pages, 8 figures 

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An Opportunistic Bandit Approach for User Interface Experimentation

Jun 21, 2020
Nader Bouacida, Amit Pande, Xin Liu

* SDM Data Science for Retail and E-Commerce Workshop (2020) 

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Contextual Bandits with Side-Observations

Jun 06, 2020
Rahul Singh, Fang Liu, Xin Liu, Ness Shroff

* under review 

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Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement

Jun 06, 2020
Xin Liu, Josh Fromm, Shwetak Patel, Daniel McDuff

* preprint 

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M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training

Jun 04, 2020
Haoyang Huang, Lin Su, Di Qi, Nan Duan, Edward Cui, Taroon Bharti, Lei Zhang, Lijuan Wang, Jianfeng Gao, Bei Liu, Jianlong Fu, Dongdong Zhang, Xin Liu, Ming Zhou

* 10 pages,2 figures 

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BWCNN: Blink to Word, a Real-Time Convolutional Neural Network Approach

Jun 01, 2020
Albara Ah Ramli, Rex Liu, Rahul Krishnamoorthy, Vishal I B, Xiaoxiao Wang, Ilias Tagkopoulos, Xin Liu

* 8 pages, 4 figures 

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Towards the Infeasibility of Membership Inference on Deep Models

May 27, 2020
Shahbaz Rezaei, Xin Liu


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MMFashion: An Open-Source Toolbox for Visual Fashion Analysis

May 19, 2020
Xin Liu, Jiancheng Li, Jiaqi Wang, Ziwei Liu

* Codes and models are available at: https://github.com/open-mmlab/mmfashion 

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On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification

Apr 28, 2020
Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang

* Accepted by IJCAI 2020 

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Decomposing Word Embedding with the Capsule Network

Apr 07, 2020
Xin Liu, Qingcai Chen, Yan Liu, Baotian Hu, Joanna Siebert, Xiangping Wu, Buzhou Tang


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Learning Diverse Fashion Collocation by Neural Graph Filtering

Mar 11, 2020
Xin Liu, Yongbin Sun, Ziwei Liu, Dahua Lin


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XGPT: Cross-modal Generative Pre-Training for Image Captioning

Mar 04, 2020
Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Xin Liu, Ming Zhou

* 12 pages, 3 figures, 7 tables 

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Neural Subgraph Isomorphism Counting

Dec 25, 2019
Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang


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An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling

Dec 20, 2019
Yanjie Zhu, Ziwen Ke, Jing Cheng, Sen Jia, Yuanyuan Liu, Haifeng Wang, Leslie Ying, Xin Liu, Hairong Zheng, Dong Liang

* 12 pages, 10 figures, submitted to IEEE Journal 

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Similarity-DT: Kernel Similarity Embedding for Dynamic Texture Synthesis

Dec 11, 2019
Shiming Chen, Peng Zhang, Xinge You, Qinmu Peng, Xin Liu, Zehong Cao, Dacheng Tao

* 12 pages, 10 figures, 2 tables 

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Security of Deep Learning Methodologies: Challenges and Opportunities

Dec 08, 2019
Shahbaz Rezaei, Xin Liu


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Enabling real-time multi-messenger astrophysics discoveries with deep learning

Nov 26, 2019
E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier M. Antelis, Etienne Bachelet, Bruce Berriman, Federica Bianco, Rahul Biswas, Matias Carrasco, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco F√∂rster, Daniel George, Tom Gibbs, Matthew Graham, William Gropp, Robert Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Marka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alex Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. SipŇĎcz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

* Nature Reviews Physics volume 1, pages 600-608 (2019) 
* Invited Expert Recommendation for Nature Reviews Physics. The art work produced by E. A. Huerta and Shawn Rosofsky for this article was used by Carl Conway to design the cover of the October 2019 issue of Nature Reviews Physics 

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IPO: Interior-point Policy Optimization under Constraints

Oct 21, 2019
Yongshuai Liu, Jiaxin Ding, Xin Liu


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VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks

Sep 10, 2019
Shuang Gao, Xin Liu, Lung-Sheng Chien, William Zhang, Jose M. Alvarez

* ICCV Workshop 

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Cross Domain Image Matching in Presence of Outliers

Sep 08, 2019
Xin Liu, Seyran Khademi, Jan C. van Gemert

* ICCV Workshop on Transferring and Adaptive Source Knowledge in Computer Vision (TASK-CV) 2019 

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Hyper-Path-Based Representation Learning for Hyper-Networks

Aug 24, 2019
Jie Huang, Xin Liu, Yangqiu Song

* Accepted by CIKM 2019 

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DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution

Jul 29, 2019
Shanshan Wang, Huitao Cheng, Leslie Ying, Taohui Xiao, Ziwen Ke, Xin Liu, Hairong Zheng, Dong Liang


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hood2vec: Identifying Similar Urban Areas Using Mobility Networks

Jul 17, 2019
Xin Liu, Konstantinos Pelechrinis, Alexandros Labrinidis


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Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning

Jun 23, 2019
Jing Cheng, Haifeng Wang, Yanjie Zhu, Qiegen Liu, Xin Liu, Hairong Zhen, Leslie Ying, Dong Liang

* part of the preliminary work will be presented at MICCAI2019 

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Multitask Learning for Network Traffic Classification

Jun 12, 2019
Shahbaz Rezaei, Xin Liu


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