Pengcheng Xi

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 50

Top Topics

Machine Learning

Top Venues

Publications

Aaryam Sharma, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong
How Much You Ate? Food Portion Estimation on Spoons. CoRR (2024)
Zara Cook, Grant Sinha, Jack Wang, Chengzong Zhao, Nabil Belacel, Sam M. Doesburg, George Medvedev, Urs Ribary, Vasily A. Vakorin, Pengcheng Xi
Enhancing Brain Age Prediction: A Generative AI Approach for EEG Machine Learning Models. I2MTC (2024)
Mahya Shahmohammadimehrjardi, R. Bruce Wallace, Adrian D. C. Chan, Rafik Goubran, Pengcheng Xi, Julio J. Valdés
Multi-Level Method for Sound Source Location Measurement. I2MTC (2024)
Akil Pathiranage, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong
In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls. CoRR (2024)
Brady Laska, Pengcheng Xi, Julio J. Valdés, R. Bruce Wallace, Rafik Goubran
Zero-Shot Multi-Task Cough Sound Analysis with Speech Foundation Model Embeddings. MeMeA (2024)
Matthew Keller, Chi-En Amy Tai, Yuhao Chen, Pengcheng Xi, Alexander Wong
NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images. CoRR (2024)
Jiangpeng He, Yuhao Chen, Gautham Vinod, Talha Ibn Mahmud, Fengqing Zhu, Edward J. Delp, Alexander Wong, Pengcheng Xi, Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva, Jiadong Tang, Dianyi Yang, Yu Gao, Zhaoxiang Liang, Yawei Jueluo, Chengyu Shi, Pengyu Wang
MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results. CoRR (2024)
Brady Laska, Julio J. Valdés, Pengcheng Xi, Rafik Goubran, Bruce Wallace, Madison Cohen-McFarlane, Frank Knoefel
Cough Sound Analysis using Vocal Tract Models. I2MTC (2024)
Chi-En Amy Tai, Jason Li, Sriram Kumar, Saeejith Nair, Yuhao Chen, Pengcheng Xi, Alexander Wong
NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models. CoRR (2023)
Kai Ma, Siyuan He, Grant Sinha, Ashkan Ebadi, Adrian Florea, Stéphane Tremblay, Alexander Wong, Pengcheng Xi
Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis. Sensors 23 (19) (2023)
Saiful Huq, Pengcheng Xi, Rafik Goubran, Frank Knoefel, James R. Green
Data Augmentation and Deep Learning in Audio Classification Problems: Alignment Between Training and Test Environments. BIBE (2023)
Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images. CoRR (2023)
Saiful Huq, Pengcheng Xi, Rafik Goubran, Julio J. Valdés, Frank Knoefel, James R. Green
Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification. MeMeA (2023)
Zhenyu Zhang, Yichun Shen, Julio J. Valdés, Saiful Huq, Bruce Wallace, James Green, Pengcheng Xi, Rafik Goubran
Domestic Sound Classification with Deep Learning. SAS (2023)
Chi-En Amy Tai, Matthew Keller, Saeejith Nair, Yuhao Chen, Yifan Wu, Olivia Markham, Krish Parmar, Pengcheng Xi, Heather H. Keller, Sharon Kirkpatrick, Alexander Wong
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches. CoRR (2023)
Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. Sensors 23 (5) (2023)
Chi-En Amy Tai, Matthew Keller, Mattie Kerrigan, Yuhao Chen, Saeejith Nair, Pengcheng Xi, Alexander Wong
NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation. CoRR (2023)
Chi-En Amy Tai, Matthew Keller, Saeejith Nair, Yuhao Chen, Yifan Wu, Olivia Markham, Krish Parmar, Pengcheng Xi, Heather H. Keller, Sharon Kirkpatrick, Alexander Wong
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches. MADiMa@MM (2023)
Grant Sinha, Krish Parmar, Hilda Azimi, Chi-En Amy Tai, Yuhao Chen, Alexander Wong, Pengcheng Xi
Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions. CoRR (2023)
Mykola Klymenko, Sam M. Doesburg, George Medvedev, Pengcheng Xi, Urs Ribary, Vasily A. Vakorin
Byte-Pair Encoding for Classifying Routine Clinical Electroencephalograms in Adults Over the Lifespan. IEEE J. Biomed. Health Informatics 27 (4) (2023)
Grant Sinha, Nabil Belacel, Zhiyang Gu, Sam M. Doesburg, George Medvedev, Urs Ribary, Vasily A. Vakorin, Pengcheng Xi
Machine Learning Methods for Electroencephalogram-Based Age Prediction. SENSORS (2023)
Hilda Azimi, Ashkan Ebadi, Jessy Song, Pengcheng Xi, Alexander Wong
COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos. CoRR (2022)
Hilda Azimi, Jianxing Zhang, Pengcheng Xi, Hala As'ad, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation. CoRR (2022)
Manuela Kunz, Chang Shu, Michel Picard, Daniel Vera, Peter Hopkinson, Pengcheng Xi
Vision-based Ergonomic and Fatigue Analyses for Advanced Manufacturing. ICPS (2022)
Kai Ma, Pengcheng Xi, Karim Habashy, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography. CoRR (2022)
Kai Ma, Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
A Trustworthy Framework for Medical Image Analysis with Deep Learning. CoRR (2022)
Julio J. Valdés, Karim Habashy, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, Frank Knoefel
Cough Classification with Deep Derived Features using Audio Spectrogram Transformer. Big Data (2022)
Madison Cohen-McFarlane, Fatima Hassan, Pengcheng Xi, Bruce Wallace, Rafik Goubran, Frank Knoefel
Impact of face covering models on respiratory sound classification applications. SAS (2022)
Madison Cohen-McFarlane, Bruce Wallace, Pengcheng Xi, Rafik Goubran, Frank Knoefel
Feasibility analysis of the fusion of pressure sensors and audio measurements for respiratory evaluations. MeMeA (2022)
Karim Habashy, Julio J. Valdés, Madison Cohen-McFarlane, Pengcheng Xi, Bruce Wallace, Rafik Goubran, Frank Knoefel
Cough Classification Using Audio Spectrogram Transformer. SAS (2022)
Hilda Azimi, Pengcheng Xi, Miroslava Cuperlovic-Culf, Martha Marie Vaughan
Perithecia Detection from Images of Stubble using Deep Learning Models. SSCI (2021)
Julio J. Valdés, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, Frank Knoefel
Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization. MeMeA (2021)
Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. Scientometrics 126 (1) (2021)
Ashkan Ebadi, Pengcheng Xi, Alexander MacLean, Stéphane Tremblay, Sonny Kohli, Alexander Wong
COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics. CoRR (2021)
Madison Cohen-McFarlane, Pengcheng Xi, Bruce Wallace, Julio J. Valdés, Rafik Goubran, Frank Knoefel
Impact of face coverings on cough measurement characterization. MeMeA (2021)
Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi, Hilda Azimi, Stéphane Tremblay, Alexander Wong
COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach. CoRR (2021)
Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging. DART/FAIR@MICCAI (2021)
Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-care Ultrasound Imaging. CoRR (2021)
Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications. CoRR (2021)
Yifeng Li, Xiaodan Zhu, Richard Naud, Pengcheng Xi
Capsule Deep Generative Model That Forms Parse Trees. IJCNN (2020)
Ghazal Rouhafzay, Yonggang Li, Haitao Guan, Chang Shu, Rafik Goubran, Pengcheng Xi
An Integrated Deep Architecture for Lesion Detection in Breast MRI. ICPRAI (2020)
Hilda Azimi, Pengcheng Xi, Martin Bouchard, Rafik Goubran, Frank Knoefel
Machine Learning-Based Automatic Detection of Central Sleep Apnea Events From a Pressure Sensitive Mat. IEEE Access 8 (2020)
Pengcheng Xi, Haitao Guan, Chang Shu, Louis Borgeat, Rafik Goubran
An integrated approach for medical abnormality detection using deep patch convolutional neural networks. Vis. Comput. 36 (9) (2020)
Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. CoRR (2020)
Sujoy Ghosh Hajra, Pengcheng Xi, Andrew Law
A comparison of ECG and EEG metrics for in-flight monitoring of helicopter pilot workload. SMC (2020)
Pengcheng Xi, Chang Shu, Rafik Goubran
A Unified Deep Learning Framework for Multi-Modal Multi-Dimensional Data. MeMeA (2019)
Pengcheng Xi, Andrew Law, Rafik Goubran, Chang Shu
Pilot Workload Prediction from ECG Using Deep Convolutional Neural Networks. MeMeA (2019)
Pengcheng Xi, Chang Shu, Rafik Goubran
Abnormality Detection in Mammography using Deep Convolutional Neural Networks. CoRR (2018)
Pengcheng Xi, Chang Shu, Rafik A. Goubran
Abnormality Detection in Mammography using Deep Convolutional Neural Networks. MeMeA (2018)
Pengcheng Xi, Chang Shu, Rafik Goubran
Localizing 3-D Anatomical Landmarks Using Deep Convolutional Neural Networks. CRV (2017)
Andrea Giachetti, E. Mazzi, Francesco Piscitelli, Masaki Aono, A. Ben Hamza, Thomas Bonis, Peter Claes, Afzal Godil, Chunyuan Li, Maks Ovsjanikov, Viorica Patraucean, Chang Shu, J. Snyders, Paul Suetens, Atsushi Tatsuma, Dirk Vandermeulen, Stefanie Wuhrer, Pengcheng Xi
Automatic Location of Landmarks used in Manual Anthropometry. 3DOR@Eurographics (2014)
Jonathan Boisvert, Chang Shu, Stefanie Wuhrer, Pengcheng Xi
Three-dimensional human shape inference from silhouettes: reconstruction and validation. Mach. Vis. Appl. 24 (1) (2013)
Stefanie Wuhrer, Chang Shu, Pengcheng Xi
Posture-invariant statistical shape analysis using Laplace operator. Comput. Graph. 36 (5) (2012)
Stefanie Wuhrer, Pengcheng Xi, Chang Shu
Human shape correspondence with automatically predicted landmarks. Mach. Vis. Appl. 23 (4) (2012)
Stefanie Wuhrer, Chang Shu, Pengcheng Xi
Landmark-free posture invariant human shape correspondence. Vis. Comput. 27 (9) (2011)
Pengcheng Xi, Hongyu Guo, Chang Shu
Human Body Shape Prediction and Analysis Using Predictive Clustering Tree. 3DIMPVT (2011)
Pengcheng Xi, Chang Shu
Consistent parameterization and statistical analysis of human head scans. Vis. Comput. 25 (9) (2009)
Stefanie Wuhrer, Chang Shu, Jonathan Boisvert, Guy Godin, Pengcheng Xi
Bending invariant meshes and application to groupwise correspondences. ICCV Workshops (2009)
Lihong Zhou, Wenjiang Pei, Pengcheng Xi, Zhenya He
Extrapolated impulse response filter using coefficient-autocorrelation-matrix decomposition. Signal Process. 88 (7) (2008)
Pengcheng Xi, Won-Sook Lee, Chang Shu
Analysis of segmented human body scans. Graphics Interface (2007)
Pengcheng Xi, Chang Shu, Marc Rioux
Principal components analysis of 3-D scanned human heads. SIGGRAPH Posters (2007)
Pengcheng Xi, Won-Sook Lee, Chang Shu
A Data-driven Approach to Human-body Cloning Using a Segmented Body Database. PG (2007)
Lihong Zhou, Wenjiang Pei, Pengcheng Xi, Zhenya He
Optimized Design of Extrapolated Impulse Response FIR Filters with Raised-Cosine Windows. APCCAS (2006)
Lihong Zhou, Wenjiang Pei, Pengcheng Xi, Zhenya He
Frequency-Response Masking Approach for Design of Intermediate Frequency Filters in CDMA and Wideband GSM Modules. APCCAS (2006)
Pengcheng Xi, Won-Sook Lee, Gustavo Frederico, Chris Joslin, Lihong Zhou
Comprehending and Transferring Facial Expressions Based on Statistical Shape and Texture Models. Computer Graphics International (2006)
Pengcheng Xi, Tao Xu
De-noising and Recovering Images Based on Kernel PCA Theory. WSCG (Posters) (2004)