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<h1 id="hongjiang-yu">Hongjiang Yu</h1>
<h2 id="education">Education</h2>
<table>
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<td align="left">2016.09-present</td>
<td align="center"><img alt="mkdocs" src="images/cu.jpg" style="height:30px;width:30px" /></td>
<td align="center"><strong>Concordia University</strong> <br> Department of Electrical and Computer Engineering</td>
<td align="right">Ph.D</td>
</tr>
<tr>
<td align="left">2012.09-2016.06</td>
<td align="center"><img alt="mkdocs" src="images/whu.jpg" style="height:30px;width:30px" /></td>
<td align="center"><strong>Wuhan University</strong> <br> National Engineering Research Center <br> for Multimedia Software (NERCMS)</td>
<td align="right">Master</td>
</tr>
<tr>
<td align="left">2008.09-2012.06</td>
<td align="center"><img alt="mkdocs" src="images/whu.jpg" style="height:30px;width:30px" /></td>
<td align="center"><strong>Wuhan University</strong> <br> Electrical Information School</td>
<td align="right">Bachelor</td>
</tr>
</tbody>
</table>
<p><strong>Research Interest:</strong> Speech and Audio processing, including Speech Enhancement, Objective Quality Assessment and Bandwidth Extension</p>
<h2 id="research-experience">Research Experience</h2>
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<td align="left"><strong>Concordia University</strong></td>
<td align="center">Graduate Researcher</td>
<td align="right">2016.09-present</td>
</tr>
</tbody>
</table>
<ul>
<li>Participated a NSERC CRD Grant project on deep neural network (DNN) based speech enhancement for robust speech recognition in smart home device </li>
<li>Developed a DNN assisted Kalman filtering system for time-domain speech denoising</li>
<li>Proposed a fully convolutional neural network to restore the complex spectrogram of the clean speech from that of the noisy speech</li>
<li>Collaborated with the research team in McGill university and researchers in Microchip company</li>
</ul>
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<td align="left"><strong>Wuhan University</strong></td>
<td align="center">Graduate Researcher</td>
<td align="right">2012.09-2016.06</td>
</tr>
</tbody>
</table>
<ul>
<li>Participated a project on audio quality assessment based on auditory attention (supported by the National Natural Science Foundation of China)</li>
<li>Improved the performance of the traditional audio quality assessment system (PEAQ: perceptual evaluation of audio quality) by introducing psychological selective mechanism</li>
<li>Achieved the first prize in the National Postgraduate Mathematical Contest in modeling, with a model of fast time-varying channel modeling in wireless communication</li>
<li>Achieved the third prize in the National Postgraduate Electronic Design Contest, with a home-based care platform for the aged using speech emotion recognition</li>
</ul>
<h2 id="leadship">Leadship</h2>
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<td align="left"><strong>Student Union of NERCMS</strong></td>
<td align="center">President</td>
<td align="right">2013.09-2014.06</td>
</tr>
</tbody>
</table>
<ul>
<li>Managed the educational and social routines for about 20 graduate students</li>
<li>Organized the entertainment activities of NERCMS, including the Spring Festival Gala</li>
</ul>
<h2 id="publication-google-scholar">Publication <a href="https://scholar.google.com/citations?user=malPSXIAAAAJ&hl=en">Google Scholar</a></h2>
<h3 id="journal-paper">♦ Journal Paper</h3>
<p>[1]. <strong>H. Yu</strong>, W.-P. Zhu, and B. Champagne. “Speech Enhancement Using a DNN-Augmented Colored-Noise Kalman Filter.” <em>Speech Communication</em>, 2020. (In Press) <a href="https://github.com/Hongjiang-Yu/DNN_Kalman_Filter">Code</a></p>
<p>[2]. <strong>H. Yu</strong>, Z. Ouyang, W.-P. Zhu and B. Champagne. “A Hybrid Speech Enhancement System with DNN Based Speech Reconstruction and Kalman Filtering.” <em>Multimedia Tools and Applications</em>, vol. 79, pp. 32643-32993, 2020.</p>
<h3 id="conference-paper">♦ Conference Paper</h3>
<p>[1]. <strong>H. Yu</strong>, W.-P. Zhu, and B. Champagne. “Subband Kalman Filtering with DNN Estimated Parameters for Speech Enhancement.” <em>INTERSPEECH</em>, pp. 2697-2740 2020. </p>
<p>[2]. <strong>H. Yu</strong>, W.-P. Zhu, and Y. Yang. “Constrained Ratio Mask for Speech Enhancement Using DNN.” <em>INTERSPEECH</em>, pp.2427-2431, 2020. </p>
<p>[3]. <strong>H. Yu</strong>, W.-P. Zhu, and B. Champagne. “High-frequency Component Restoration for Kalman Filter Based Speech Enhancement.” <em>IEEE International Symposium on Circuits and Systems (ISCAS)</em>, pp. 1-5, 2020.</p>
<p>[4]. <strong>H. Yu</strong> and W.-P. Zhu. “Deep Neural Network Based Complex Spectrogram Reconstruction for Speech Bandwidth Expansion.” <em>IEEE International New Circuits and Systems Conference (NEWCAS)</em>, pp. 110-113. 2020.</p>
<p>[5]. <strong>H. Yu</strong>, Z. Ouyang, W.-P. Zhu, B. Champagne, and Y. Ji. “A Deep Neural Network Based Kalman Filter for Time Domain Speech Enhancement.” <em>IEEE International Symposium on Circuits and Systems (ISCAS)</em>, pp. 1-5. 2019. <a href="https://github.com/Hongjiang-Yu/DNN_Kalman_Filter">Code</a></p>
<p>[6]. Z. Ouyang, <strong>H. Yu</strong>, W.-P. Zhu and B. Champagne. “A Fully Convolutional Neural Network for Complex Spectrogram Processing in Speech Enhancement.” <em>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</em>, pp. 5756-5760. 2019. <a href="https://sigport.org/sites/default/files/docs/icassp_draft_zhiheng.pdf">Slides</a></p>
<p>[7]. Z. Ouyang, <strong>H. Yu</strong>, W.-P. Zhu and B. champagne. “A Deep Neural Network Based Harmonic Noise Model for Speech Enhancement.” <em>INTERSPEECH</em>, pp. 3224-3228. 2018.</p>
<p>[8]. Y. Yang, <strong>H. Yu</strong>, R, Hu, et al. “Auditory Attention Based Mobile Audio Quality Assessment.” <em>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</em>, pp. 1389-1393. 2014.</p>
<h2 id="award">Award</h2>
<table>
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<td align="left">Concordia Merit Scholarship</td>
<td align="center">Concordia University</td>
<td align="right">2016-2017</td>
</tr>
<tr>
<td align="left">Concordia International Tuition Award of Excellence</td>
<td align="center">Concordia University</td>
<td align="right">2016</td>
</tr>
<tr>
<td align="left"><strong>National Scholarship for Postgraduate Students</strong> <br> (Top 1%, 2 times)</td>
<td align="center">China</td>
<td align="right">2014, 2015</td>
</tr>
<tr>
<td align="left"><strong>Outstanding Graduates</strong> (Top 10%, 2 times)</td>
<td align="center">Wuhan University</td>
<td align="right">2012</td>
</tr>
<tr>
<td align="left">The Second Prize Scholarship (Top 10%, 2 times)</td>
<td align="center">Wuhan University</td>
<td align="right">2009, 2011</td>
</tr>
</tbody>
</table>
<h2 id="skill-interest">Skill & Interest</h2>
<ul>
<li><strong>Knowledge:</strong> professional in the research area of audio/speech signal processing and neural networks, with the capability of algorithm design and system integration </li>
<li><strong>Programming:</strong> mastered at programming with Matlab and Python </li>
<li><strong>Computer:</strong> familiar with the DNN framework TensorFlow and the audio analysis software Audition</li>
<li><strong>Language:</strong> full professional proficiency in English and native speaker in Chinese</li>
<li><strong>Interest:</strong> jogging, swimming and volleyball</li>
</ul>
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