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ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding

Oct 23, 2020
Dongling Xiao, Yu-Kun Li, Han Zhang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

* work-in-progress 

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PseudoSeg: Designing Pseudo Labels for Semantic Segmentation

Oct 19, 2020
Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister

* Project page: https://yuliang.vision/pseudo_seg/ 

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Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy

Sep 15, 2020
Xuyun Wen, Liming Hsu, Weili Lin, Han Zhang, Dinggang Shen

* 10 pages, 4 figures 

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GloDyNE: Global Topology Preserving Dynamic Network Embedding

Aug 05, 2020
Chengbin Hou, Han Zhang, Shan He, Ke Tang

* Major revision, TKDE 

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Improving NER's Performance with Massive financial corpus

Jul 31, 2020
Han Zhang


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From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation

Jul 01, 2020
Songyang Zhang, Han Zhang, Shuguang Cui, Zhi Ding


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A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem

Jun 27, 2020
Han Zhang, Jialin Liu, Xin Yao

* Accepted at PPSN2020 

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Image Augmentations for GAN Training

Jun 04, 2020
Zhengli Zhao, Zizhao Zhang, Ting Chen, Sameer Singh, Han Zhang


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A Simple Semi-Supervised Learning Framework for Object Detection

May 10, 2020
Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister


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Solving Missing-Annotation Object Detection with Background Recalibration Loss

Feb 12, 2020
Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides

* 5 pages. Paper has been accepted by ICASSP 2020 for presentation in a lecture (oral) session 

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Improved Consistency Regularization for GANs

Feb 11, 2020
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang

* Augustus Odena and Han Zhang contributed equally 

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ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation

Feb 04, 2020
Dongling Xiao, Han Zhang, Yukun Li, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

* 8 pages, 5 figures, typos corrected 

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FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Jan 21, 2020
Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel


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Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models

Dec 02, 2019
Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis

* Added TFRC, tensorflow-gan acknowledgements. Changed "Ablation Study" to "Ablation Studies" 

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MANELA: A Multi-Agent Algorithm for Learning Network Embeddings

Dec 01, 2019
Han Zhang, Hong Xu

* 11 pages, 4 figures, 5 tables 

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ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Nov 21, 2019
David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel


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Small-GAN: Speeding Up GAN Training Using Core-sets

Oct 29, 2019
Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena


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Consistency Regularization for Generative Adversarial Networks

Oct 26, 2019
Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee


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Combinatorial Losses through Generalized Gradients of Integer Linear Programs

Oct 18, 2019
Xi Gao, Han Zhang, Aliakbar Panahi, Tom Arodz


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IEG: Robust Neural Network Training to Tackle Severe Label Noise

Oct 13, 2019
Zizhao Zhang, Han Zhang, Sercan O. Arik, Honglak Lee, Tomas Pfister

* v1: first committed preprint, v2: remove small typos in text and figures 

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Distributed Equivalent Substitution Training for Large-Scale Recommender Systems

Sep 10, 2019
Haidong Rong, Yangzihao Wang, Feihu Zhou, Junjie Zhai, Haiyang Wu, Rui Lan, Fan Li, Han Zhang, Yuekui Yang, Zhenyu Guo, Di Wang

* 10 pages 

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Building change detection based on multi-scale filtering and grid partition

Aug 22, 2019
Qi Bi, Kun Qin, Han Zhang, Wenjun Han, Zhili Li, Kai Xu

* 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS),2018,1-6 
* 8 pages, 6 figures, conference paper 

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Multiple instance dense connected convolution neural network for aerial image scene classification

Aug 22, 2019
Qi Bi, Kun Qin, Zhili Li, Han Zhang, Kai Xu

* 5 pages,3 figures, a conference paper accepted by IEEE ICIP 2019 

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Approximation Capabilities of Neural Ordinary Differential Equations

Jul 30, 2019
Han Zhang, Xi Gao, Jacob Unterman, Tom Arodz

* 10 pages, 1 figure 

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DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding

Jul 27, 2019
Chengbin Hou, Han Zhang, Ke Tang, Shan He

* 14 pages, 7 figures, 5 tables 

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Brain Network Construction and Classification Toolbox (BrainNetClass)

Jun 17, 2019
Zhen Zhou, Xiaobo Chen, Yu Zhang, Lishan Qiao, Renping Yu, Gang Pan, Han Zhang, Dinggang Shen


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ERNIE: Enhanced Representation through Knowledge Integration

Apr 19, 2019
Yu Sun, Shuohuan Wang, Yukun Li, Shikun Feng, Xuyi Chen, Han Zhang, Xin Tian, Danxiang Zhu, Hao Tian, Hua Wu

* 8 pages 

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