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 Förster, 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. Sipőcz, 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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ASER: A Large-scale Eventuality Knowledge Graph

May 01, 2019
Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, Cane Wing-Ki, Leung


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Relation Discovery with Out-of-Relation Knowledge Base as Supervision

Apr 19, 2019
Yan Liang, Xin Liu, Jianwen Zhang, Yangqiu Song

* Aceepted by NAACL-HLT 2019 

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Low-Power Computer Vision: Status, Challenges, Opportunities

Apr 15, 2019
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong Gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo

* Preprint, Accepted by IEEE Journal on Emerging and Selected Topics in Circuits and Systems. arXiv admin note: substantial text overlap with arXiv:1810.01732 

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A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification

Apr 10, 2019
Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song

* Accepted by NAACL-HLT 2019 

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A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning

Apr 08, 2019
Shahbaz Rezaei, Xin Liu


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Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification

Feb 25, 2019
Huiru Xiao, Xin Liu, Yangqiu Song

* Aceepted by 2019 World Wide Web Conference (WWW19) 

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AdaLinUCB: Opportunistic Learning for Contextual Bandits

Feb 20, 2019
Xueying Guo, Xiaoxiao Wang, Xin Liu


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DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators

Feb 20, 2019
Yu Xing, Shuang Liang, Lingzhi Sui, Xijie Jia, Jiantao Qiu, Xin Liu, Yushun Wang, Yu Wang, Yi Shan

* 17 pages, 11 figures, 5 tables 

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Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era

Feb 01, 2019
Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew Graham, William Gropp, Anushri Gupta, Roland Haas, E. A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, M. S. Neubauer, Steve Oberlin, Alexander R. Olivas Jr, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard Schutz, Alex Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta M. Sipőcz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

* 15 pages, no figures. White paper based on the "Deep Learning for Multi-Messenger Astrophysics: Real-time Discovery at Scale" workshop, hosted at NCSA, October 17-19, 2018 http://www.ncsa.illinois.edu/Conferences/DeepLearningLSST/ 

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Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration

Nov 27, 2018
Xiaoxiao Wang, Xueying Guo, Jie Chuai, Zhitang Chen, Xin Liu


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