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Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems

Feb 22, 2021
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb

* Submitted to IEEE, 30 pages, 9 figures. The dataset/code files will be available soon on the DeepMIMO website https://www.deepmimo.net/. arXiv admin note: text overlap with arXiv:2102.09084 

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Echo State Speech Recognition

Feb 18, 2021
Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara Sainath


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Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems

Feb 18, 2021
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb

* Asilomar 2020, dataset and code files will be available soon on the DeepMIMO website https://www.deepmimo.net/ 

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MATCH: Metadata-Aware Text Classification in A Large Hierarchy

Feb 15, 2021
Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han

* 12 pages; Accepted to WWW 2021 

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Multi-Objective Meta Learning

Feb 14, 2021
Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang


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Joint Transmit Precoding and Reflect Beamforming Design for IRS-Assisted MIMO Cognitive Radio Systems

Feb 02, 2021
Weiheng Jiang, Yu Zhang


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Generative Adversarial U-Net for Domain-free Medical Image Augmentation

Jan 12, 2021
Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang


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Multiple Structural Priors Guided Self Attention Network for Language Understanding

Dec 29, 2020
Le Qi, Yu Zhang, Qingyu Yin, Ting Liu


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A Survey on Neural Network Interpretability

Dec 28, 2020
Yu Zhang, Peter Ti艌o, Ale拧 Leonardis, Ke Tang


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On Convergence of Gradient Expected Sarsa($位$)

Dec 14, 2020
Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan

* This submission has been accepted by AAAI2021 

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Improving EEG Decoding via Clustering-based Multi-task Feature Learning

Dec 12, 2020
Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki


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Different Approaches Towards Vertical Track Irregularity Prediction -- A Comparative Study

Dec 05, 2020
Yutao Chen, Yu Zhang, Fei Yang


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Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate

Dec 04, 2020
Gongbo Liang, Yuanyuan Su, Sheng-Chieh Lin, Yu Zhang, Yuanyuan Zhang, Nathan Jacobs

* Accepted to NeurIPS 2020 Workshop on Machine Learning and the Physical Sciences 

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Multi-Task Adversarial Attack

Nov 19, 2020
Pengxin Guo, Yuancheng Xu, Baijiong Lin, Yu Zhang


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Effective, Efficient and Robust Neural Architecture Search

Nov 19, 2020
Zhixiong Yue, Baijiong Lin, Xiaonan Huang, Yu Zhang


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Barycode-based GJK Algorithm

Nov 18, 2020
Yu Zhang, Yangming Wu, Xigui Wang, Xiaocheng Zhou


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Domain Concretization from Examples: Addressing Missing Domain Knowledge via Robust Planning

Nov 18, 2020
Akshay Sharma, Piyush Rajesh Medikeri, Yu Zhang


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Large-scale multilingual audio visual dubbing

Nov 06, 2020
Yi Yang, Brendan Shillingford, Yannis Assael, Miaosen Wang, Wendi Liu, Yutian Chen, Yu Zhang, Eren Sezener, Luis C. Cobo, Misha Denil, Yusuf Aytar, Nando de Freitas

* 26 pages, 8 figures 

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Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features

Nov 01, 2020
Kunjin Chen, Tom谩拧 Vantuch, Yu Zhang, Jun Hu, Jinliang He

* To be published in IEEE Transactions on Smart Grid 

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Hierarchical Metadata-Aware Document Categorization under Weak Supervision

Oct 26, 2020
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han

* 9 pages; Accepted to WSDM 2021 

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Unsupervised Learning of Disentangled Speech Content and Style Representation

Oct 24, 2020
Andros Tjandra, Ruoming Pang, Yu Zhang, Shigeki Karita

* Submitted to ICASSP 2021 

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Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition

Oct 23, 2020
Qiujia Li, David Qiu, Yu Zhang, Bo Li, Yanzhang He, Philip C. Woodland, Liangliang Cao, Trevor Strohman

* Submitted to ICASSP 2021 

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Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data

Oct 22, 2020
Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao


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Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition

Oct 20, 2020
Yu Zhang, James Qin, Daniel S. Park, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Quoc V. Le, Yonghui Wu

* 11 pages, 3 figures, 5 tables. Submitted to NeurIPS SAS 2020 Workshop 

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Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling

Oct 08, 2020
Jonathan Shen, Ye Jia, Mike Chrzanowski, Yu Zhang, Isaac Elias, Heiga Zen, Yonghui Wu

* Under review as a conference paper at ICLR 2021 

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Weakly-Supervised Feature Learning via Text and Image Matching

Oct 06, 2020
Gongbo Liang, Connor Greenwell, Yu Zhang, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs


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Cross-Modal Alignment with Mixture Experts Neural Network for Intral-City Retail Recommendation

Sep 17, 2020
Po Li, Lei Li, Yan Fu, Jun Rong, Yu Zhang


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Boosting Retailer Revenue by Generated Optimized Combined Multiple Digital Marketing Campaigns

Sep 09, 2020
Yafei Xu, Tian Xie, Yu Zhang


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Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification

Sep 09, 2020
Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs

* Accepted to the 31th British Machine Vision Conference (BMVC 2020) 

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