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A deep neural network approach to speech bandwidth expansion

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, p.4395-4399

2015

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An End-to-End Deep Learning Approach to Simultaneous Speech Dereverberation and Acoustic Modeling for Robust Speech Recognition

IEEE journal of selected topics in signal processing, 2017-12, Vol.11 (8), p.1289-1300

2017

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A Reverberation-Time-Aware Approach to Speech Dereverberation Based on Deep Neural Networks

IEEE/ACM transactions on audio, speech, and language processing, 2017-01, Vol.25 (1), p.102-111

2017

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Sign Transition Modeling and a Scalable Solution to Continuous Sign Language Recognition for Real-World Applications

ACM transactions on accessible computing, 2016-01, Vol.8 (2), p.1-23

2016

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A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation

EURASIP journal on advances in signal processing, 2017-12, Vol.2017 (1), p.1-13, Article 81

2017

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A maximal figure-of-merit learning approach to maximizing mean average precision with deep neural network based classifiers

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.4503-4507

2014

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A transfer learning and progressive stacking approach to reducing deep model sizes with an application to speech enhancement

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.5575-5579

2017

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Deep learning vector quantization for acoustic information retrieval

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.1350-1354

2014

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Online whole-word and stroke-based modeling for hand-written letter recognition in in-car environments

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.1826-1830

2013

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An i-vector based descriptor for alphabetical gesture recognition

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.6593-6597

2014

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Exploration of the linkage elements of porcupine antagonists led to potent Wnt signaling pathway inhibitors

Bioorganic & medicinal chemistry, 2015-11, Vol.23 (21), p.6855-6868

2015

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Improving Deep Neural Network Based Speech Synthesis through Contextual Feature Parametrization and Multi-Task Learning

Journal of signal processing systems, 2018-07, Vol.90 (7), p.1025-1037

2018

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Image region annotation based on segmentation and semantic correlation analysis

IET image processing, 2018-08, Vol.12 (8), p.1331-1337

2018

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A study on target feature activation and normalization and their impacts on the performance of DNN based speech dereverberation systems

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016, p.1-4

2016

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Deep learning with maximal figure-of-merit cost to advance multi-label speech attribute detection

2016 IEEE Spoken Language Technology Workshop (SLT), 2016, p.489-495

2016

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Deep neural network based voice conversion with a large synthesized parallel corpus

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016, p.1-5

2016

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A unified deep modeling approach to simultaneous speech dereverberation and recognition for the reverb challenge

2017 Hands-free Speech Communications and Microphone Arrays (HSCMA), 2017, p.36-40

2017

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A study on sampling of STFT modifications in time and frequency domains for DNN-based speech dereverberation

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016, p.1-4

2016

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Abnormal event detection in traffic video surveillance based on local features

2011 4th International Congress on Image and Signal Processing, 2011, Vol.1, p.362-366

2011

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Learning auxiliary categorical information for speech synthesis based on deep and recurrent neural networks

2016 10th International Symposium on Chinese Spoken Language Processing (ISCSLP), 2016, p.1-5

2016

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A method for background modeling and moving object detection in video surveillance

2011 4th International Congress on Image and Signal Processing, 2011, Vol.1, p.381-385

2011

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The predictive value of 18F-FDG PET/CT combined with inflammatory index for major pathological reactions in resectable NSCLC receiving neoadjuvant immunochemotherapy

Lung cancer (Amsterdam, Netherlands), 2023-12, Vol.186, p.107389-107389, Article 107389

2023

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Clinical translation of a novel FAPI dimer [68Ga]Ga-LNC1013

European journal of nuclear medicine and molecular imaging, 2024-07, Vol.51 (9), p.2761-2773

2024

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Clinical translation of a novel FAPI dimer 68GaGa-LNC1013

European journal of nuclear medicine and molecular imaging, 2024-07, Vol.51 (9), p.2761

2024

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The predictive value of 18 F-FDG PET/CT combined with inflammatory index for major pathological reactions in resectable NSCLC receiving neoadjuvant immunochemotherapy

Lung cancer (Amsterdam, Netherlands), 2023-12, Vol.186, p.107389

2023

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A deep neural network approach to speech bandwidth expansion

An End-to-End Deep Learning Approach to Simultaneous Speech Dereverberation and Acoustic Modeling for Robust Speech Recognition

A Reverberation-Time-Aware Approach to Speech Dereverberation Based on Deep Neural Networks

Sign Transition Modeling and a Scalable Solution to Continuous Sign Language Recognition for Real-World Applications

A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation

A maximal figure-of-merit learning approach to maximizing mean average precision with deep neural network based classifiers

A transfer learning and progressive stacking approach to reducing deep model sizes with an application to speech enhancement

Deep learning vector quantization for acoustic information retrieval

Online whole-word and stroke-based modeling for hand-written letter recognition in in-car environments

An i-vector based descriptor for alphabetical gesture recognition

Exploration of the linkage elements of porcupine antagonists led to potent Wnt signaling pathway inhibitors

Improving Deep Neural Network Based Speech Synthesis through Contextual Feature Parametrization and Multi-Task Learning

Image region annotation based on segmentation and semantic correlation analysis

A study on target feature activation and normalization and their impacts on the performance of DNN based speech dereverberation systems

Deep learning with maximal figure-of-merit cost to advance multi-label speech attribute detection

Deep neural network based voice conversion with a large synthesized parallel corpus

A unified deep modeling approach to simultaneous speech dereverberation and recognition for the reverb challenge

A study on sampling of STFT modifications in time and frequency domains for DNN-based speech dereverberation

Abnormal event detection in traffic video surveillance based on local features

Learning auxiliary categorical information for speech synthesis based on deep and recurrent neural networks

A method for background modeling and moving object detection in video surveillance

The predictive value of 18F-FDG PET/CT combined with inflammatory index for major pathological reactions in resectable NSCLC receiving neoadjuvant immunochemotherapy

Clinical translation of a novel FAPI dimer [68Ga]Ga-LNC1013

Clinical translation of a novel FAPI dimer 68GaGa-LNC1013

The predictive value of 18 F-FDG PET/CT combined with inflammatory index for major pathological reactions in resectable NSCLC receiving neoadjuvant immunochemotherapy

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