Improved Noisy Student Training for Automatic Speech Recognition

May 19, 2020
Daniel S. Park, Yu Zhang, Ye Jia, Wei Han, Chung-Cheng Chiu, Bo Li, Yonghui Wu, Quoc V. Le

* 5 pages, 5 figures, 4 tables. Submitted to Interspeech 2020 

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RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions

May 17, 2020
Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu

* Submitted to Interspeech 2020 

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Conformer: Convolution-augmented Transformer for Speech Recognition

May 16, 2020
Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, Ruoming Pang

* Submitted to Interspeech 2020 

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ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context

May 16, 2020
Wei Han, Zhengdong Zhang, Yu Zhang, Jiahui Yu, Chung-Cheng Chiu, James Qin, Anmol Gulati, Ruoming Pang, Yonghui Wu

* Submitted to Interspeech 2020 

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Efficient Second-Order TreeCRF for Neural Dependency Parsing

May 03, 2020
Yu Zhang, Zhenghua Li, Min Zhang

* ACL 2020 

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Minimally Supervised Categorization of Text with Metadata

May 01, 2020
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han

* 10 pages; Accepted to SIGIR 2020 

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Partially-Typed NER Datasets Integration: Connecting Practice to Theory

May 01, 2020
Shi Zhi, Liyuan Liu, Yu Zhang, Shiyin Wang, Qi Li, Chao Zhang, Jiawei Han

* Work in progress 

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Learning an Adaptive Model for Extreme Low-light Raw Image Processing

Apr 22, 2020
Qingxu Fu, Xiaoguang Di, Yu Zhang


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Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming

Apr 16, 2020
Mehrdad Zakershahrak, Shashank Rao Marpally, Akshay Sharma, Ze Gong, Yu Zhang

* arXiv admin note: text overlap with arXiv:1902.00604 

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Learning Event-Based Motion Deblurring

Apr 13, 2020
Zhe Jiang, Yu Zhang, Dongqing Zou, Jimmy Ren, Jiancheng Lv, Yebin Liu

* Accepted to CVPR 2020 

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Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images

Apr 12, 2020
Xiaocong Chen, Lina Yao, Yu Zhang


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Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond

Apr 01, 2020
Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han

* 15 pages (12-page content + 3-page reference), under review VLDB 2021 

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A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency

Mar 28, 2020
Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alex Gruenstein, Ke Hu, Minho Jin, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirko Visontai, Yonghui Wu, Yu Zhang, Ding Zhao

* In Proceedings of IEEE ICASSP 2020 

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CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation

Mar 23, 2020
Zhenyuan Ning, Ke Wang, Shengzhou Zhong, Qianjin Feng, Yu Zhang

* 8 pages, 6 figures 

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Fisher Deep Domain Adaptation

Mar 12, 2020
Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang


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Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing?

Mar 06, 2020
Yu Zhang, Zhenghua Li, Houquan Zhou, Min Zhang


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Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization

Mar 02, 2020
Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang

* Accepted by C-MIMI 2019 as a scientific abstract 

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Joint 2D-3D Breast Cancer Classification

Feb 27, 2020
Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs

* Accepted by IEEE International Conference of Bioinformatics and Biomedicine (BIBM), 2019 

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2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification

Feb 27, 2020
Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs

* Accepted by IEEE International Conference of Bioinformatics and Biomedicine (BIBM), 2019 

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Attention-guided Chained Context Aggregation for Semantic Segmentation

Feb 27, 2020
Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang


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Defense-PointNet: Protecting PointNet Against Adversarial Attacks

Feb 27, 2020
Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs

* Accepted by IEEE International Conference on Big Data (BigData) Workshop: The Next Frontier of Big Data From LiDAR, 2019 

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Self-supervised Image Enhancement Network: Training with Low Light Images Only

Feb 26, 2020
Yu Zhang, Xiaoguang Di, Bin Zhang, Chunhui Wang

* 14 pages,13 figures 

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High-Order Paired-ASPP Networks for Semantic Segmenation

Feb 18, 2020
Yu Zhang, Xin Sun, Junyu Dong, Changrui Chen, Yue Shen


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MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing

Feb 15, 2020
Yu Zhang, Tao Gu, Xi Zhang

* Published in the International Conference on Information Processing in Sensor Networks (IPSN), 2020 

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Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network

Feb 12, 2020
Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang


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Deep Multi-Task Learning via Generalized Tensor Trace Norm

Feb 12, 2020
Yi Zhang, Yu Zhang, Wei Wang


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A Simple General Approach to Balance Task Difficulty in Multi-Task Learning

Feb 12, 2020
Sicong Liang, Yu Zhang


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