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<!--<h4>Publications</h4> -->
<p>
<a href="https://scholar.google.ca/citations?user=pOpgtRgAAAAJ&hl=en" target="_blank"><b>Google Scholar</b></a>,
<a href="https://dblp.org/pid/08/3547-2.html" target="_blank"><b>DBLP</b></a>,
<a href="https://patents.google.com/?inventor=peng+dai&assignee=huawei&oq=peng+dai+huawei&sort=new" target="_blank"> <b>Patent</b></a>
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<sup>ϯ</sup> marks corresponding author.
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Group by <a href="./publications_topic.html" target="_blank"><strong>Topic</strong></a>
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<h2> <span style="margin-bottom: -10px"> 2022</span></h2>
<ul>
<li>V.R. Rao, M.I. Khalil, H. Li, <b>P. Dai</b><sup>ϯ</sup>, J. Lu, <span style="font-style:italic">Dual Perspective Network for Audio Visual Event Localization</span>,
European Conference on Computer Vision (ECCV), Tel Aviv, Isreal, 2022.
</li>
<li>H. Liang<sup>ϯ</sup>, N. Quader, Z. Chi, L. Chen, <b>P. Dai</b><sup>ϯ</sup>, J. Lu, Y. Wang, <span style="font-style:italic">Self-supervised spatiotemporal representation learning by exploiting video continuity</span>,
36th AAAI Conference on Artificial Intelligence, Vancouver, BC, Canada, 2022. <a href="https://arxiv.org/pdf/2112.05883.pdf" target="_blank"><b>arxiv</b></a>, <a href="./projects/cpnet.html" target="_blank"><strong>Project Page</strong></a>
</li>
<li>V.R. Rao, M.I. Khalil, H. Li, <b>P. Dai</b><sup>ϯ</sup>, J. Lu, <span style="font-style:italic">Decompose the Sounds and Pixels, Recompose the Events</span>,
36th AAAI Conference on Artificial Intelligence, Vancouver, BC, Canada, 2022. <a href="./projects/edrnet.html" target="_blank"><strong>Project Page</strong></a>, <a href="https://mp.weixin.qq.com/s/u1z9C6wwgNJRnGba_0njrw" target="_blank"><strong>News</strong></a>
</li>
</ul>
<h2> <span style="margin-bottom: -10px"> 2021</span></h2>
<ul>
<li>H. Liang, Q. Zhang, <b>P. Dai</b>, J. Lu, <span style="font-style:italic">Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder</span>, International Conference on Computer Vision (ICCV), 2021.
<a href="https://arxiv.org/abs/2108.05028" target="_blank"><b>arxiv</b></a>,
<a href="https://openaccess.thecvf.com/content/ICCV2021/html/Liang_Boosting_the_Generalization_Capability_in_Cross-Domain_Few-Shot_Learning_via_Noise-Enhanced_ICCV_2021_paper.html" target="_blank"><b>CVF</b></a>
</li>
<li>D. Sridhar, N. Quader, S. Muralidharan, Y. Li, <b>P. Dai</b>, J. Lu, <span style="font-style:italic">Class Semantics-based Attention for Action Detection</span>, International Conference on Computer Vision (ICCV), 2021.
<a href="https://arxiv.org/abs/2109.02613" target="_blank"><b>arxiv</b></a>,
<a href="https://openaccess.thecvf.com/content/ICCV2021/html/Sridhar_Class_Semantics-Based_Attention_for_Action_Detection_ICCV_2021_paper.html" target="_blank"><b>CVF</b></a>,
<a href="https://www.youtube.com/watch?v=uJqN-7cLomI" target="_blank"><b>video</b></a>
</li>
<li>V.R. Rao, <b>P. Dai</b><sup>ϯ</sup>, S. Singla, <span style="font-style:italic">Structural fragmentation in scene graphs</span>, Knowledge-Based Systems, vol 211, pp 106504, 2021.</li>
<li>H. Ding, Z. Gu, <b>P. Dai</b>, Z Zhou, L. Wang, X. Wu, <span style="font-style:italic">Deep connected attention (DCA) ResNet for robust voice pathology detection and classification</span>, Biomedical Signal Processing and Control, Vol 70, pp 102973, 2021.</li>
<li><b>P. Dai</b>, J. Lu, B. Sekar, W. Li, J. Xu, R. Li, <span style="font-style:italic">Semi-supervised hybrid clustering/classification system</span>, US Patent 11,023,710</li>
<li>J. Lu, S.M. SIAM, W. Zhou, <b>P. Dai</b>, X. Wu, S. Xu, <span style="font-style:italic">Methods and systems for hand gesture-based control of a device</span>, Patent WO2021184356A1</li>
</ul>
<h2> <span style="margin-bottom: -10px"> 2020</span></h2>
<ul>
<li>N. Quader, J. Lu, <b>P. Dai</b>, and W. Li, <span style="font-style:italic">Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition</span>, European Conference on Computer Vision (ECCV), 2020.
<a href="https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123750035.pdf" target="_blank"><b>PDF</b></a>
</li>
<li>N. Quader, M. Bhuiyan, J. Lu, <b>P. Dai</b>, and W. Li, <span style="font-style:italic">Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks</span>, European Conference on Computer Vision (ECCV), 2020.
<a href="https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123750086.pdf" target="_blank"><b>PDF</b></a>
</li>
<li>V.R. Rao, U. Ahmad, <b>P. Dai</b>, J. Lu, W. Li, J. Xu, <span style="font-style:italic">Method and system for image search and cropping</span>, US Patent App. 16/441,918</li>
<li>N. QUADER, J. Lu, <b>P. Dai</b>, W. Li, <span style="font-style:italic">Adaptive action recognizer for video</span>, US Patent App. 16/874,478</li>
</ul>
<h2> <span style="margin-bottom: -10px"> 2019</span></h2>
<ul>
<li>J. Lu, S.M. SIAM, <b>P. Dai</b>, W. Li, J. Tang, <span style="font-style:italic">Methods and systems for managing image collection</span>, Patent WO2021120818A1</li>
<li>B. Sekar, J. Lu, <b>P. Dai</b>, W. Li, J. Xu, <span style="font-style:italic">Intelligent video interaction method</span>, US Patent 10,979,761</li>
</ul>
<h2> <span style="margin-bottom: -10px"> 2017</span></h2>
<ul>
<li><b>P. Dai</b>, F. Gwadry-Sridhar, M. Bauer, M. Borrie and X. Teng, <span style="font-style:italic">Healthy Cognitive Aging: a hybrid random vector functional-link model for the analysis of Alzheimer's disease</span>,
the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, California USA, 4-9 Feb, 2017. (acceptance rate 24.6%, 638/2590) (paper)</li>
</ul>
<h2> <span style="margin-bottom: -10px"> 2016</span></h2>
<ul>
<li><b>P. Dai</b>, F. Gwadry-Sridhar, M. Bauer, and M. Borrie, <a href="https://ojs.aaai.org/index.php/AAAI/article/view/9915" target="_blank"><span style="font-style:italic">Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer's Disease</span></a>,
the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, USA, 12-17 Feb, 2016. (acceptance rate 26%, 549/2132) (Paper)</li>
<li><b>P. Dai</b>, F. Gwadry-Sridhar, M. Bauer, M. Borrie, and X. Teng, <span style="font-style:italic">Longitudinal Brain Structure Changes in Health/MCI Patients: A Deep Learning Approach for the Diagnosis and Prognosis of Alzheimer's Disease</span>,
Alzheimer's Association International Conference (AAIC), Toronto, ON, Canada, 24-27 July, 2016. (Poster)</li>
<li>X. Teng, <b>P. Dai</b>, F. Gwadry-Sridhar, M. Borrie, <span style="font-style:italic">Clinical Feature Vs Artificial Intelligence Feature: Risk Factor Analysis Based on Deep Learning</span>,
Alzheimer's Association International Conference (AAIC), Toronto, ON, Canada, 24-27 July, 2016.</li>
<li>S. S. Ho, <b>P. Dai</b>, and F. Rudzicz, <span style="font-style:italic">Manifold Learning for Multivariate Variable-length Sequences with an Application to Similarity Search</span>,
IEEE Transactions on Neural Networks and Learning Systems, vol 27(6), 2016.</li>
</ul>
<h2> <span style="margin-bottom: -10px"> 2015</s[an></h2>
<ul>
<li><b>P. Dai</b>, F. Gwadry-Sridhar, M. Bauer, and M. Borrie, <span style="font-style:italic">A hybrid manifold learning algorithm for the diagnosis and prognostication of Alzheimer's disease</span>,
AMIA 2015 Annual Symposium, San Francisco, CA, USA, 14-18 Nov, 2015.</li>
<li><b>P. Dai</b>, F. Gwadry-Sridhar, M. Bauer, and M. Borrie, <span style="font-style:italic">Structural Differences in Cognitively Normal, Mild Cognitive Impairment, and Alzheimer's Disease Individuals: A Novel Study Based on Brain Symmetry</span>,
Alzheimer's Association International Conference (AAIC), Washington D.C., USA, 18-23 July, 2015.</li>
<li><b>P. Dai</b>, S. S. Ho, and F. Rudzicz, <span style="font-style:italic">Sequential behavior prediction based on hybrid similarity and cross-user activity transfer</span>, Knowledge-Based Systems, vol. 77, pp 29-39, 2015.</li>
<li><b>P. Dai</b>, F. Rudzicz, I. Y. Soon, A. Mihailidis, and H. Ding, <span style="font-style:italic">2D psychoacoustic modeling of equivalent masking for automatic speech recognition system</span>, Signal Processing, vol. 115, pp 9-19, 2015.</li>
<li>S. S. Ho, <b>P. Dai</b>, and F. Rudzicz, <span style="font-style:italic">Manifold Learning for Multivariate Variable-length Sequences with an Application to Similarity Search</span>,
IEEE Transactions on Neural Networks and Learning Systems, vol PP(99), 2015.</li>
<li>H. Ding, T. Lee, I. Y. Soon, C. K. Yeo, <b>P. Dai</b>, and G. Dan, <span style="font-style:italic">Objective Measures for Quality Assessment of Noise-suppressed Speech</span>, Speech Communication, vol. 71, pp. 62-73, 2015.</li>
</ul>
<h2> <span style="margin-bottom: -10px"> 2014</span></h2>
<ul>
<li><b>P. Dai</b> and S. S. Ho, <span style="font-style:italic">A Smartphone User Activity Prediction Framework Utilizing Partial Repetitive and Landmark Behaviors</span>,
IEEE International Conference on Mobile Data Management (MDM), Brisbane, Australia, 14-18 July, 2014.</li>
</ul>
<h2> <span style="margin-bottom: -10px"> 2013</span></h2>
<ul>
<li><b>P. Dai</b> and I. Y. Soon, <span style="font-style:italic">An Improved Model of Masking Effects for Robust Speech Recognition System</span>,
Speech Communication, vol 55, pp. 387-396, 2013.</li>
<li><b>P. Dai</b> and I. Y. Soon, <span style="font-style:italic">Robust Speech Recognition by Using Spectral Subtraction with Noise Peak Shifting</span>, IET Signal Processing, Volume 7, issue 8, p. 684 - 692, 2013.</li>
<li><b>P. Dai</b>, W. Yang, and S. S. Ho, <span style="font-style:italic">Predicting Mobile Call Behavior via Subspace Methods</span>, in International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP2013), Washington, DC, Apr. 2-5, 2013.</li>
</ul>
<h2> <span style="margin-bottom: -10px"> 2012</span></h2>
<ul>
<li><b>P. Dai</b> and I. Y. Soon, <span style="font-style:italic">A Temporal Frequency Warped (TFW) 2D Psychoacoustic Filter for Robust Speech Recognition System</span>, Speech Communication, vol. 54, pp. 402-413, 2012.</li>
<li><b>P. Dai</b>, I. Y. Soon and R. Tao, <span style="font-style:italic">Direct Recovery of Clean Speech using a Hybrid Noise Suppression Algorithm for Robust Speech Recognition System</span>, ISRN Signal Processing, 2012.</li>
</ul>
<h2> <span style="margin-bottom: -10px"> 2011</span></h2>
<ul>
<li><b>P. Dai</b> and I. Y. Soon, <span style="font-style:italic">An Adaptive Soft Voice Activity Detector for Automatic Speech Recognition System</span>, International Conference on Information, Communications and Signal Processing (ICICS), 2011.</li>
<li>Q. Wang, H. Wang, K. Hao, and <b>P. Dai</b>, <span style="font-style:italic">Two-phase flow regime identification based on cross-entropy and information extension methods for computerized tomography</span>,
IEEE Transactions on Instrumentation and Measurement, vol. 60, pp. 488-495, 2011.</li>
<li>Baiying Lei, I.Y. Soon, Z. Li, and <b>P. Dai</b>, <span style="font-style:italic">An Optimal Audio Watermarking Scheme Based on Particle Swarm Optimization</span>, Proceedings of International Conference on Information, Communications and Signal Processing (ICICS), 2011.</li>
</ul>
<h2> <span style="margin-bottom: -10px"> 2010</span></h2>
<ul>
<li><b>P. Dai</b> and I. Y. Soon, <span style="font-style:italic">A temporal warped 2D psychoacoustic modeling for robust speech recognition system</span>, Speech Communication, vol. 53, pp. 229-241, 2010.</li>
</ul>
<h2> <span style="margin-bottom: -10px"> 2009</span></h2>
<ul>
<li><b>P. Dai</b>, I. Y. Soon, and C. K. Yeo, <span style="font-style:italic">2D psychoacoustic filtering for robust speech recognition, International Conference on Information</span>, Communications and Signal Processing (ICICS), 2009.</li>
</ul>
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