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Wei Han

Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, China

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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Streaming Object Detection for 3-D Point Clouds

May 04, 2020
Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen


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FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slides

Jan 03, 2020
Xiebo Geng, Sibo Liua, Wei Han, Xu Li, Jiabo Ma, Jingya Yu, Xiuli Liu, Sahoqun Zeng, Li Chen, Shenghua Cheng


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Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Dec 18, 2019
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov


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Scalability in Perception for Autonomous Driving: An Open Dataset Benchmark

Dec 11, 2019
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jon Shlens, Zhifeng Chen, Dragomir Anguelov


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A comparison of end-to-end models for long-form speech recognition

Nov 06, 2019
Chung-Cheng Chiu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara Sainath, Yonghui Wu

* ASRU camera-ready version 

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Statistical Inference in Mean-Field Variational Bayes

Nov 04, 2019
Wei Han, Yun Yang


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StarNet: Targeted Computation for Object Detection in Point Clouds

Aug 29, 2019
Jiquan Ngiam, Benjamin Caine, Wei Han, Brandon Yang, Yuning Chai, Pei Sun, Yin Zhou, Xi Yi, Ouais Alsharif, Patrick Nguyen, Zhifeng Chen, Jonathon Shlens, Vijay Vasudevan


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A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net

Jul 28, 2018
Yang Deng, Yao Sun, Yongpei Zhu, Mingwang Zhu, Wei Han, Kehong Yuan


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Image Super-Resolution via Dual-State Recurrent Networks

May 07, 2018
Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang


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Learning $3$D-FilterMap for Deep Convolutional Neural Networks

Jan 05, 2018
Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han


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Dilated Recurrent Neural Networks

Nov 02, 2017
Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang

* Accepted by NIPS 2017 

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A Learning-Based Approach for Lane Departure Warning Systems with a Personalized Driver Model

Feb 04, 2017
Wenshuo Wang, Ding Zhao, Junqiang Xi, Wei Han

* 12 pages, 13 figures, Journal 

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Seq-NMS for Video Object Detection

Aug 22, 2016
Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang

* Technical Report for Imagenet VID Competition 2015 

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Deep Networks for Image Super-Resolution with Sparse Prior

Oct 15, 2015
Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas Huang


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Self-Tuned Deep Super Resolution

Apr 22, 2015
Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang


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An Analysis of Unsupervised Pre-training in Light of Recent Advances

Apr 10, 2015
Tom Le Paine, Pooya Khorrami, Wei Han, Thomas S. Huang

* Accepted as a workshop contribution to ICLR 2015 

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Competing With Strategies

Feb 12, 2013
Wei Han, Alexander Rakhlin, Karthik Sridharan


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