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WeMix: How to Better Utilize Data Augmentation

Oct 03, 2020
Yi Xu, Asaf Noy, Ming Lin, Qi Qian, Hao Li, Rong Jin


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Topic-Aware Multi-turn Dialogue Modeling

Sep 26, 2020
Yi Xu, Hai Zhao, Zhuosheng Zhang


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Object Detection in the Context of Mobile Augmented Reality

Aug 15, 2020
Xiang Li, Yuan Tian, Fuyao Zhang, Shuxue Quan, Yi Xu

* accepted to IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2020 

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Talking-head Generation with Rhythmic Head Motion

Jul 16, 2020
Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu


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Malignancy-Aware Follow-Up Volume Prediction for Lung Nodules

Jun 24, 2020
Yamin Li, Jiancheng Yang, Yi Xu, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Xueqian Xie, Guixue Liu

* MICCAI 2020, with supplementary materials 

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Towards Understanding Label Smoothing

Jun 20, 2020
Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin


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A Practical Online Method for Distributionally Deep Robust Optimization

Jun 17, 2020
Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang

* 20 pages, 8 figures 

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Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers

Apr 12, 2020
Jiancheng Yang, Haoran Deng, Xiaoyang Huang, Bingbing Ni, Yi Xu

* 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020) 

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Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection

Apr 09, 2020
Tiancheng Lin, Yuanfan Guo, Canqian Yang, Jiancheng Yang, Yi Xu

* accepted to Neurocomputing; 1st runner up of MICCAI DigestPath2019 challenge 

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Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment

Apr 06, 2020
Qiuyu Chen, Wei Zhang, Ning Zhou, Peng Lei, Yi Xu, Yu Zheng, Jianping Fan

* Accepted by CVPR 2020 

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Sharp Analysis of Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization

Feb 13, 2020
Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang


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Quaternion Product Units for Deep Learning on 3D Rotation Groups

Dec 17, 2019
Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu


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Non-Local ConvLSTM for Video Compression Artifact Reduction

Oct 27, 2019
Yi Xu, Longwen Gao, Kai Tian, Shuigeng Zhou, Huyang Sun

* ICCV 2019 

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Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis

Oct 20, 2019
Jiancheng Yang, Rongyao Fang, Bingbing Ni, Yamin Li, Yi Xu, Linguo Li

* MICCAI 2019 (early accept), with supplementary materials 

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On Leveraging the Visual Modality for Neural Machine Translation

Oct 07, 2019
Vikas Raunak, Sang Keun Choe, Quanyang Lu, Yi Xu, Florian Metze

* Accepted to INLG 2019 

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Evaluating and Boosting Uncertainty Quantification in Classification

Sep 16, 2019
Xiaoyang Huang, Jiancheng Yang, Linguo Li, Haoran Deng, Bingbing Ni, Yi Xu


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Stochastic Optimization for Non-convex Inf-Projection Problems

Aug 26, 2019
Yan Yan, Yi Xu, Lijun Zhang, Xiaoyu Wang, Tianbao Yang


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3D Virtual Garment Modeling from RGB Images

Jul 31, 2019
Yi Xu, Shanglin Yang, Wei Sun, Li Tan, Kefeng Li, Hui Zhou

* 9 pages; 9 figures; accepted to IEEE International Symposium on Mixed and Augmented Reality 2019 

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Pose Guided Fashion Image Synthesis Using Deep Generative Model

Jun 17, 2019
Wei Sun, Jawadul H. Bappy, Shanglin Yang, Yi Xu, Tianfu Wu, Hui Zhou


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Stochastic Primal-Dual Algorithms with Faster Convergence than $O(1/\sqrt{T})$ for Problems without Bilinear Structure

Apr 23, 2019
Yan Yan, Yi Xu, Qihang Lin, Lijun Zhang, Tianbao Yang


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Quaternion Convolutional Neural Networks

Mar 02, 2019
Xuanyu Zhu, Yi Xu, Hongteng Xu, Changjian Chen


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Disentangled Deep Autoencoding Regularization for Robust Image Classification

Feb 27, 2019
Zhenyu Duan, Martin Renqiang Min, Li Erran Li, Mingbo Cai, Yi Xu, Bingbing Ni

* 9 pages 

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Analogy Search Engine: Finding Analogies in Cross-Domain Research Papers

Dec 17, 2018
Jieli Zhou, Yuntao Zhou, Yi Xu


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Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence

Nov 28, 2018
Yi Xu, Qi Qi, Qihang Lin, Rong Jin, Tianbao Yang


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Learning with Non-Convex Truncated Losses by SGD

May 21, 2018
Yi Xu, Shenghuo Zhu, Sen Yang, Chi Zhang, Rong Jin, Tianbao Yang


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NEON+: Accelerated Gradient Methods for Extracting Negative Curvature for Non-Convex Optimization

Mar 01, 2018
Yi Xu, Rong Jin, Tianbao Yang

* The main result is merged into our manuscript "First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time" (arXiv:1711.01944) 

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First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time

Mar 01, 2018
Yi Xu, Rong Jin, Tianbao Yang

* 40 pages; updated some proofs, included some new results 

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Flexible Network Binarization with Layer-wise Priority

Feb 16, 2018
Lixue Zhuang, Yi Xu, Bingbing Ni, Hongteng Xu

* More experiments on image classification are planned 

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Accelerated Stochastic Subgradient Methods under Local Error Bound Condition

Jan 17, 2017
Yi Xu, Qihang Lin, Tianbao Yang

* added some new results in this version 

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Efficient Non-oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee

Dec 06, 2016
Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang


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