Pengcheng Xi - RankMe

82 papers A* 1B 8C 2Misc 1Journal 37Unranked 33

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Coughprint: Distilled Cough Representations From Speech Foundation Model Embeddings. IEEE Trans. Instrum. Meas. Brady Laska, Pengcheng Xi, Julio J. Valdés, Bruce Wallace, James Green, Rafik Goubran, Frank Knoefel
2025	—	`conf`	Food Degradation Analysis Using Multimodal Fuzzy Clustering. CVPR Workshops Julio J. Valdés, Stephie Liu, Shawn Yang, Yuhao Chen, Alexander Wong, Pengcheng Xi
2025	—	`conf`	FoodVideoQA: A Novel Baseline Framework for Dietary Monitoring. CVPR Workshops Krish Shah, Siddharth Viswanath, Pengcheng Xi, Alexander Wong, Yuhao Chen
2025	J	`jnl`	NutritionVerse3D2D: Large 3D Object and 2D Image Food Dataset for Dietary Intake Estimation. Data Chi-En Amy Tai, Matthew Keller, Saeejith Nair, Yuhao Chen, Yifan Wu, Olivia Markham, Krish Parmar, Pengcheng Xi, Alexander Wong
2025	—	`conf`	SHARE: Scene-Human Aligned Reconstruction. SIGGRAPH Asia Technical Communications Joshua Li, Brendan Chharawala, Chang Shu, Xue Bin Peng, Pengcheng Xi
2025	J	`jnl`	SHARE: Scene-Human Aligned Reconstruction. CoRR Joshua Li, Brendan Chharawala, Chang Shu, Xue Bin Peng, Pengcheng Xi
2025	J	`jnl`	SMP: Reusable Score-Matching Motion Priors for Physics-Based Character Control. CoRR Yuxuan Mu, Ziyu Zhang, Yi Shi, Minami Matsumoto, Kotaro Imamura, Guy Tevet, Chuan Guo, Michael Taylor, Chang Shu, Pengcheng Xi, Xue Bin Peng
2025	A*	`conf`	StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data. SIGGRAPH Asia Yuxuan Mu, Hung Yu Ling, Yi Shi, Ismael Baira Ojeda, Pengcheng Xi, Chang Shu, Fabio Zinno, Xue Bin Peng
2025	J	`jnl`	StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data. CoRR Yuxuan Mu, Hung Yu Ling, Yi Shi, Ismael Baira Ojeda, Pengcheng Xi, Chang Shu, Fabio Zinno, Xue Bin Peng
2025	B	`conf`	Two-Step Microphone Array Fusion Algorithm for Enhanced Indoor Sound Source Localization. SAS Mahya Shahmohammadimehrjardi, Bruce Wallace, Adrian D. C. Chan, Rafik Goubran, Pengcheng Xi
2024	—	`conf`	A Data-Driven Environmental Sound Classification System with Acoustic Triboelectric Nanogenerators. CCECE Majid Haji Bagheri, Junyou Li, Emma Gu, Karim Habashy, Md. Masud Rana, Asif Abdullah Khan, Yanguang Zhang, Gaozhi Xiao, Pengcheng Xi, Dayan Ban
2024	—	`conf`	Biological age from electroencephalographic activity could be decoupled from a gradual stochastic accumulation of pathologies over adulthood. BIBM Ostap Kalapun, Alexander Moiseev, George Medvedev, Sam M. Doesburg, Pengcheng Xi, Sylvain Moreno, Urs Ribary, Vasily A. Vakorin
2024	—	`conf`	Cough Sound Analysis using Vocal Tract Models. I2MTC Brady Laska, Julio J. Valdés, Pengcheng Xi, Rafik Goubran, Bruce Wallace, Madison Cohen-McFarlane, Frank Knoefel
2024	—	`conf`	Decoding Brain Age: A Self-Supervised Graph Neural Network Framework for EEG Analysis. IEEE SENSORS Zara Cook, Chengzong Zhao, Livia Murray, Jivan Kesan, Nabil Belacel, Sam M. Doesburg, George Medvedev, Vasily A. Vakorin, Pengcheng Xi
2024	—	`conf`	Enhancing Brain Age Prediction: A Generative AI Approach for EEG Machine Learning Models. I2MTC Zara Cook, Grant Sinha, Jack Wang, Chengzong Zhao, Nabil Belacel, Sam M. Doesburg, George Medvedev, Urs Ribary, Vasily A. Vakorin, Pengcheng Xi
2024	—	`conf`	How Much You Ate? Food Portion Estimation on Spoons. CVPR Workshops Aaryam Sharma, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong
2024	J	`jnl`	How Much You Ate? Food Portion Estimation on Spoons. CoRR Aaryam Sharma, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong
2024	J	`jnl`	In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls. CoRR Akil Pathiranage, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong
2024	—	`conf`	Leveraging Large Language Models and Fuzzy Clustering for EEG Report Analysis. IEEE SENSORS Chengzong Zhao, Zara Cook, Livia Murray, Jivan Kesan, Nabil Belacel, Sam M. Doesburg, George Medvedev, Vasily A. Vakorin, Pengcheng Xi
2024	J	`jnl`	MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results. CoRR 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
2024	J	`jnl`	MetaFood3D: Large 3D Food Object Dataset with Nutrition Values. CoRR Yuhao Chen, Jiangpeng He, Chris Czarnecki, Gautham Vinod, Talha Ibn Mahmud, Siddeshwar Raghavan, Jinge Ma, Dayou Mao, Saeejith Nair, Pengcheng Xi, Alexander Wong, Edward J. Delp, Fengqing Zhu
2024	—	`conf`	Multi-Level Method for Sound Source Location Measurement. I2MTC Mahya Shahmohammadimehrjardi, R. Bruce Wallace, Adrian D. C. Chan, Rafik Goubran, Pengcheng Xi, Julio J. Valdés
2024	J	`jnl`	NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images. CoRR Matthew Keller, Chi-En Amy Tai, Yuhao Chen, Pengcheng Xi, Alexander Wong
2024	—	`conf`	Zero-Shot Multi-Task Cough Sound Analysis with Speech Foundation Model Embeddings. MeMeA Brady Laska, Pengcheng Xi, Julio J. Valdés, R. Bruce Wallace, Rafik Goubran
2023	J	`jnl`	Byte-Pair Encoding for Classifying Routine Clinical Electroencephalograms in Adults Over the Lifespan. IEEE J. Biomed. Health Informatics Mykola Klymenko, Sam M. Doesburg, George Medvedev, Pengcheng Xi, Urs Ribary, Vasily A. Vakorin
2023	J	`jnl`	COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. Sensors Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
2023	J	`jnl`	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 Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
2023	C	`conf`	Data Augmentation and Deep Learning in Audio Classification Problems: Alignment Between Training and Test Environments. BIBE Saiful Huq, Pengcheng Xi, Rafik Goubran, Frank Knoefel, James R. Green
2023	—	`conf`	Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification. MeMeA Saiful Huq, Pengcheng Xi, Rafik Goubran, Julio J. Valdés, Frank Knoefel, James R. Green
2023	B	`conf`	Domestic Sound Classification with Deep Learning. SAS Zhenyu Zhang, Yichun Shen, Julio J. Valdés, Saiful Huq, Bruce Wallace, James Green, Pengcheng Xi, Rafik Goubran
2023	—	`conf`	Machine Learning Methods for Electroencephalogram-Based Age Prediction. SENSORS Grant Sinha, Nabil Belacel, Zhiyang Gu, Sam M. Doesburg, George Medvedev, Urs Ribary, Vasily A. Vakorin, Pengcheng Xi
2023	J	`jnl`	NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation. CoRR Chi-En Amy Tai, Matthew Keller, Mattie Kerrigan, Yuhao Chen, Saeejith Nair, Pengcheng Xi, Alexander Wong
2023	J	`jnl`	NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models. CoRR Chi-En Amy Tai, Jason Li, Sriram Kumar, Saeejith Nair, Yuhao Chen, Pengcheng Xi, Alexander Wong
2023	—	`conf`	NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches. MADiMa@MM 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
2023	J	`jnl`	NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches. CoRR 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
2023	J	`jnl`	Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis. Sensors Kai Ma, Siyuan He, Grant Sinha, Ashkan Ebadi, Adrian Florea, Stéphane Tremblay, Alexander Wong, Pengcheng Xi
2023	J	`jnl`	Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions. CoRR Grant Sinha, Krish Parmar, Hilda Azimi, Chi-En Amy Tai, Yuhao Chen, Alexander Wong, Pengcheng Xi
2022	J	`jnl`	A Trustworthy Framework for Medical Image Analysis with Deep Learning. CoRR Kai Ma, Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
2022	J	`jnl`	COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos. CoRR Hilda Azimi, Ashkan Ebadi, Jessy Song, Pengcheng Xi, Alexander Wong
2022	B	`conf`	Cough Classification Using Audio Spectrogram Transformer. SAS Karim Habashy, Julio J. Valdés, Madison Cohen-McFarlane, Pengcheng Xi, Bruce Wallace, Rafik Goubran, Frank Knoefel
2022	B	`conf`	Cough Classification with Deep Derived Features using Audio Spectrogram Transformer. IEEE Big Data Julio J. Valdés, Karim Habashy, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, Frank Knoefel
2022	—	`conf`	Feasibility analysis of the fusion of pressure sensors and audio measurements for respiratory evaluations. MeMeA Madison Cohen-McFarlane, Bruce Wallace, Pengcheng Xi, Rafik Goubran, Frank Knoefel
2022	B	`conf`	Impact of face covering models on respiratory sound classification applications. SAS Madison Cohen-McFarlane, Fatima Hassan, Pengcheng Xi, Bruce Wallace, Rafik Goubran, Frank Knoefel
2022	J	`jnl`	Improving Classification Model Performance on Chest X-Rays through Lung Segmentation. CoRR Hilda Azimi, Jianxing Zhang, Pengcheng Xi, Hala As'ad, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
2022	J	`jnl`	Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography. CoRR Kai Ma, Pengcheng Xi, Karim Habashy, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
2022	—	`conf`	Vision-based Ergonomic and Fatigue Analyses for Advanced Manufacturing. ICPS Manuela Kunz, Chang Shu, Michel Picard, Daniel Vera, Peter Hopkinson, Pengcheng Xi
2021	—	`conf`	Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization. MeMeA Julio J. Valdés, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, Frank Knoefel
2021	J	`jnl`	COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach. CoRR Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi, Hilda Azimi, Stéphane Tremblay, Alexander Wong
2021	J	`jnl`	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 Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
2021	—	`conf`	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 Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
2021	J	`jnl`	COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics. CoRR Ashkan Ebadi, Pengcheng Xi, Alexander MacLean, Stéphane Tremblay, Sonny Kohli, Alexander Wong
2021	—	`conf`	Impact of face coverings on cough measurement characterization. MeMeA Madison Cohen-McFarlane, Pengcheng Xi, Bruce Wallace, Julio J. Valdés, Rafik Goubran, Frank Knoefel
2021	J	`jnl`	Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications. CoRR Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
2021	—	`conf`	Perithecia Detection from Images of Stubble using Deep Learning Models. SSCI Hilda Azimi, Pengcheng Xi, Miroslava Cuperlovic-Culf, Martha Marie Vaughan
2021	J	`jnl`	Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. Scientometrics Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong
2020	B	`conf`	A comparison of ECG and EEG metrics for in-flight monitoring of helicopter pilot workload. SMC Sujoy Ghosh Hajra, Pengcheng Xi, Andrew Law
2020	—	`conf`	An Integrated Deep Architecture for Lesion Detection in Breast MRI. ICPRAI Ghazal Rouhafzay, Yonggang Li, Haitao Guan, Chang Shu, Rafik Goubran, Pengcheng Xi
2020	J	`jnl`	An integrated approach for medical abnormality detection using deep patch convolutional neural networks. Vis. Comput. Pengcheng Xi, Haitao Guan, Chang Shu, Louis Borgeat, Rafik Goubran
2020	B	`conf`	Capsule Deep Generative Model That Forms Parse Trees. IJCNN Yifeng Li, Xiaodan Zhu, Richard Naud, Pengcheng Xi
2020	J	`jnl`	Machine Learning-Based Automatic Detection of Central Sleep Apnea Events From a Pressure Sensitive Mat. IEEE Access Hilda Azimi, Pengcheng Xi, Martin Bouchard, Rafik Goubran, Frank Knoefel
2020	J	`jnl`	Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. CoRR Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong
2019	—	`conf`	A Unified Deep Learning Framework for Multi-Modal Multi-Dimensional Data. MeMeA Pengcheng Xi, Chang Shu, Rafik Goubran
2019	—	`conf`	Pilot Workload Prediction from ECG Using Deep Convolutional Neural Networks. MeMeA Pengcheng Xi, Andrew Law, Rafik Goubran, Chang Shu
2018	—	`conf`	Abnormality Detection in Mammography using Deep Convolutional Neural Networks. MeMeA Pengcheng Xi, Chang Shu, Rafik A. Goubran
2018	J	`jnl`	Abnormality Detection in Mammography using Deep Convolutional Neural Networks. CoRR Pengcheng Xi, Chang Shu, Rafik Goubran
2017	—	`conf`	Localizing 3-D Anatomical Landmarks Using Deep Convolutional Neural Networks. CRV Pengcheng Xi, Chang Shu, Rafik Goubran
2014	—	`conf`	Automatic Location of Landmarks used in Manual Anthropometry. 3DOR@Eurographics 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
2013	J	`jnl`	Three-dimensional human shape inference from silhouettes: reconstruction and validation. Mach. Vis. Appl. Jonathan Boisvert, Chang Shu, Stefanie Wuhrer, Pengcheng Xi
2012	J	`jnl`	Human shape correspondence with automatically predicted landmarks. Mach. Vis. Appl. Stefanie Wuhrer, Pengcheng Xi, Chang Shu
2012	J	`jnl`	Posture-invariant statistical shape analysis using Laplace operator. Comput. Graph. Stefanie Wuhrer, Chang Shu, Pengcheng Xi
2011	—	`conf`	Human Body Shape Prediction and Analysis Using Predictive Clustering Tree. 3DIMPVT Pengcheng Xi, Hongyu Guo, Chang Shu
2011	J	`jnl`	Landmark-free posture invariant human shape correspondence. Vis. Comput. Stefanie Wuhrer, Chang Shu, Pengcheng Xi
2009	—	`conf`	Bending invariant meshes and application to groupwise correspondences. ICCV Workshops Stefanie Wuhrer, Chang Shu, Jonathan Boisvert, Guy Godin, Pengcheng Xi
2009	J	`jnl`	Consistent parameterization and statistical analysis of human head scans. Vis. Comput. Pengcheng Xi, Chang Shu
2008	J	`jnl`	Extrapolated impulse response filter using coefficient-autocorrelation-matrix decomposition. Signal Process. Lihong Zhou, Wenjiang Pei, Pengcheng Xi, Zhenya He
2007	Misc	`conf`	A Data-driven Approach to Human-body Cloning Using a Segmented Body Database. PG Pengcheng Xi, Won-Sook Lee, Chang Shu
2007	B	`conf`	Analysis of segmented human body scans. Graphics Interface Pengcheng Xi, Won-Sook Lee, Chang Shu
2007	—	`conf`	Principal components analysis of 3-D scanned human heads. SIGGRAPH Posters Pengcheng Xi, Chang Shu, Marc Rioux
2006	C	`conf`	Comprehending and Transferring Facial Expressions Based on Statistical Shape and Texture Models. Computer Graphics International Pengcheng Xi, Won-Sook Lee, Gustavo Frederico, Chris Joslin, Lihong Zhou
2006	—	`conf`	Frequency-Response Masking Approach for Design of Intermediate Frequency Filters in CDMA and Wideband GSM Modules. APCCAS Lihong Zhou, Wenjiang Pei, Pengcheng Xi, Zhenya He
2006	—	`conf`	Optimized Design of Extrapolated Impulse Response FIR Filters with Raised-Cosine Windows. APCCAS Lihong Zhou, Wenjiang Pei, Pengcheng Xi, Zhenya He
2004	—	`conf`	De-noising and Recovering Images Based on Kernel PCA Theory. WSCG (Posters) Pengcheng Xi, Tao Xu