Order detection for dependent samples using entropy rate von Gengshen Fu, Hualiang Li, Anderson, M., Adali, T.

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Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting von Khursheed, Mohammad Omar, Jose, Christin, Kumar, Rajath, Fu, Gengshen, Kulis, Brian, Cheekatmalla, Santosh Kumar

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Dynamic wakeword detection von Wu, Shuang, Vitaladevuni, Shiv Naga Prasad, McIntyre, Paul, Fu, Gengshen

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Small Footprint Convolutional Recurrent Networks for Streaming Wakeword Detection von Khursheed, Mohammad Omar, Jose, Christin, Kumar, Rajath, Fu, Gengshen, Kulis, Brian, Cheekatmalla, Santosh Kumar

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MULTIPLE WAKEWORD DETECTION von Lei, Huitian, Fu, Gengshen, Rupanagudi, Sai Kiran Venkata Subramanya, Jacques, Cody, Mishchenko, Yuriy

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Wakeword training von Wu, Shuang, Vitaladevuni, Shiv Naga Prasad, Fu, Gengshen, Senechal, Thibaud

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DYNAMIC WAKEWORD DETECTION von Wu, Shuang, Vitaladevuni, Shiv Naga Prasad, McIntyre, Paul, Fu, Gengshen

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Dynamic wakeword detection von Wu, Shuang, Vitaladevuni, Shiv Naga Prasad, McIntyre, Paul, Fu, Gengshen

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Wakeword detection using multi-word model von Vitaladevuni, Shiv Naga Prasad, Gao, Yixin, Fu, Gengshen, Nagaraja, Varun, Sun, Ming, Wang, Chao

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Speech processing using a recurrent neural network von Nagaraja, Varun K, Vitaladevuni, Shiv Naga Prasad, Rodehorst, Michael J, Fu, Gengshen, Senechal, Thibaud

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Dynamic wakeword detection von Wu, Shuang, Vitaladevuni, Shiv Naga Prasad, McIntyre, Paul, Fu, Gengshen

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Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting von Mohammad Omar Khursheed, Christin, Jose, Kumar, Rajath, Fu, Gengshen, Kulis, Brian, Cheekatmalla, Santosh Kumar

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Small Footprint Convolutional Recurrent Networks for Streaming Wakeword Detection von Mohammad Omar Khursheed, Christin, Jose, Kumar, Rajath, Fu, Gengshen, Kulis, Brian, Cheekatmalla, Santosh Kumar

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Max-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spotting von Sun, Ming, Raju, Anirudh, Tucker, George, Panchapagesan, Sankaran, Fu, Gengshen, Mandal, Arindam, Matsoukas, Spyros, Strom, Nikko, Vitaladevuni, Shiv

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IVA and ICA: Use of diversity in independent decompositions von Adali, T., Anderson, M., Fu, G.

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MULTIPLE WAKEWORD DETECTION von LEI, Huitian, RUPANAGUDI, Sai Kiran Venkata Subramanya, JACQUES, Cody, FU, Gengshen, MISHCHENKO, Yuriy

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MULTIPLE WAKEWORD DETECTION von LEI, Huitian, RUPANAGUDI, Sai Kiran Venkata Subramanya, JACQUES, Cody, FU, Gengshen, MISHCHENKO, Yuriy

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Integrated Multi-Omics Analysis Model to Identify Biomarkers Associated With Prognosis of Breast Cancer von Fan, Yeye, Kao, Chunyu, Yang, Fu, Wang, Fei, Yin, Gengshen, Wang, Yongjiu, He, Yong, Ji, Jiadong, Liu, Liyuan

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Risk factors and mortality of pulmonary embolism in COVID-19 patients: Evidence based on fifty observational studies von Fu, Zhaoliang, Bai, Gengshen, Song, Bingsheng, Wang, Yongbing, Song, Hui, Ma, Ming, Zhu, Junqiang, Zhang, Zejun, Kang, Qinghong

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Genomic and transcriptomic analysis of breast cancer identifies novel signatures associated with response to neoadjuvant chemotherapy von Yin, Gengshen, Liu, Liyuan, Yu, Ting, Yu, Lixiang, Feng, Man, Zhou, Chengjun, Wang, Xiaoying, Teng, Guoxin, Ma, Zhongbing, Zhou, Wenzhong, Ye, Chunmiao, Zhang, Jialin, Ji, Changhua, Zhao, Linfeng, Zhou, Peng, Guo, Yaxun, Meng, Xingchen, Fu, Qinye, Zhang, Qiang, Li, Liang, Zhou, Fei, Zheng, Chao, Xiang, Yujuan, Guo, Mingming, Wang, Yongjiu, Wang, Fei, Huang, Shuya, Yu, Zhigang

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