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ORCIDCheng Yang 0003
Person information
- affiliation: York University, Department of Electrical Engineering and Computer Science, Toronto, Canada
- affiliation (2017 - 2018): National Institute of Informatics, Tokyo, Japan
- affiliation (PhD 2017): University of Strathclyde, Department of Electronic and Electrical Engineering, Glasgow, UK
Other persons with the same name
- Cheng Yang — disambiguation page
- Cheng Yang 0001 — Georgia Institute of Technology, Atlanta, GA, USA (and 1 more)
- Cheng Yang 0002
![[0000-0001-7821-0030]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7821-0030")
— Beijing University of Posts and Telecommunications, China (and 1 more) - Cheng Yang 0004 — National University of Defense Technology, Key Laboratory of Parallel and Distributed Computing, Changsha, China
- Cheng Yang 0005 — China University of Geosciences, School of Land Science and Technology, China (and 1 more)
- Cheng Yang 0006 — Tianjin University, Qingdao Institute for Ocean Technology, School of Microelectronics, China
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2020 – today
- 2024
[j14]Haoyang Cui, Tianzhu Guo, Cheng Yang, Yingying Dai, Chong Wang, Hongwei Du, Lunming Qin, Hengwen Yu:
A New Thermal Management Strategy of IGBT in DFIG for Economic Benefit Maximization. IEEE Trans. Ind. Informatics 20(2): 1335-1347 (2024)- [i8]Jie Shao, Jiacheng Wu, Wenzhong Shen, Cheng Yang:
A Pairwise DomMix Attentive Adversarial Network for Unsupervised Domain Adaptive Object Detection. CoRR abs/2407.02835 (2024) - 2023
- [j13]Jiangfeng Li, Lina Stankovic, Vladimir Stankovic, Stella Pytharouli, Cheng Yang, Qingjiang Shi:
Graph-Based Feature Weight Optimisation and Classification of Continuous Seismic Sensor Array Recordings. Sensors 23(1): 243 (2023) - [j12]Jie Shao, Jiacheng Wu, Wenzhong Shen, Cheng Yang:
A Pairwise DomMix Attentive Adversarial Network for Unsupervised Domain Adaptive Object Detection. IEEE Signal Process. Lett. 30: 1667-1671 (2023) - [i7]Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi:
Towards Graph Foundation Models: A Survey and Beyond. CoRR abs/2310.11829 (2023) - 2022
- [j11]Xiaohui Gong, Xiao Li, Li Ma, Weilin Tong, Fangyu Shi, Menghan Hu, Xiao-Ping Zhang, Guangjun Yu, Cheng Yang:
Preterm infant general movements assessment via representation learning. Displays 75: 102308 (2022) - [j10]Cheng Yang, Menghan Hu, Guangtao Zhai, Xiao-Ping Zhang:
Graph-Based Denoising for Respiration and Heart Rate Estimation During Sleep in Thermal Video. IEEE Internet Things J. 9(17): 15697-15713 (2022) - [j9]Cheng Yang, Gene Cheung, Wei Hu:
Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7219-7234 (2022) - [c20]Weilin Tong, Cheng Yang, Xiao Li, Fangyu Shi, Guangtao Zhai:
Cost-effective Video-based Poor Repertoire Detection for Preterm Infant General Movement Analysis. ICIGP 2022: 51-58 - [c19]Xiao Li, Cheng Yang, Weilin Tong, Fangyu Shi, Guangtao Zhai:
Fast Graph-based Binary Classifier Learning via Further Relaxation of Semi-Definite Relaxation. ICIGP 2022: 89-95 - 2021
- [c18]Cheng Yang, Fen Wang, Minxiang Ye, Guangtao Zhai, Xiao-Ping Zhang, Vladimir Stankovic, Lina Stankovic:
Model Selection-inspired Coefficients Optimization for Polynomial-Kernel Graph Learning. APSIPA ASC 2021: 344-350 - [c17]Yunlu Wang, Cheng Yang, Menghan Hu, Jian Zhang, Qingli Li, Guangtao Zhai, Xiao-Ping Zhang:
Identification of Deep Breath While Moving Forward Based on Multiple Body Regions and Graph Signal Analysis. ICASSP 2021: 7958-7962 - [i6]Cheng Yang, Gene Cheung, Wai-tian Tan, Guangtao Zhai:
Projection-free Graph-based Classifier Learning using Gershgorin Disc Perfect Alignment. CoRR abs/2106.01642 (2021) - [i5]Cheng Yang, Gene Cheung, Wai-tian Tan, Guangtao Zhai:
Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization. CoRR abs/2109.04697 (2021) - 2020
- [j8]Jin Zeng, Gene Cheung, Michael Ng, Jiahao Pang, Cheng Yang:
3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional Manifold Model. IEEE Trans. Image Process. 29: 3474-3489 (2020) - [j7]Minxiang Ye, Cheng Yang, Vladimir Stankovic, Lina Stankovic, Samuel Cheng:
Distinct Feature Extraction for Video-Based Gait Phase Classification. IEEE Trans. Multim. 22(5): 1113-1125 (2020) - [j6]Fen Wang, Yongchao Wang, Gene Cheung, Cheng Yang:
Graph Sampling for Matrix Completion Using Recurrent Gershgorin Disc Shift. IEEE Trans. Signal Process. 68: 2814-2829 (2020) - [c16]Xiaochong Jiang, Cheng Yang, Gene Cheung, Seishi Takamura:
Semi-Regular Geometric Kernel Encoding & Reconstruction for Video Compression. ICASSP 2020: 2183-2187 - [c15]Cheng Yang, Gene Cheung, Wei Hu:
Graph Metric Learning via Gershgorin Disc Alignment. ICASSP 2020: 5530-5534 - [c14]Fengbo Lan, Cheng Yang, Gene Cheung, Jack Z. G. Tan:
Joint Demosaicking / Rectification Of Fisheye Camera Images Using Multi-Color Graph Laplacian Regularization. ICIP 2020: 2596-2600 - [c13]J. Li, Cheng Yang, Vladimir Stankovic, Lina Stankovic, Stella Pytharouli:
Graph-Based Micro-Seismic Signal Classification with an Optimised Feature Space. IGARSS 2020: 1667-1670 - [i4]Cheng Yang, Gene Cheung, Wei Hu:
Fast Graph Metric Learning via Gershgorin Disc Alignment. CoRR abs/2001.10485 (2020) - [i3]Cheng Yang, Gene Cheung, Wei Hu:
Signed Graph Metric Learning via Gershgorin Disc Alignment. CoRR abs/2006.08816 (2020) - [i2]Yunlu Wang, Cheng Yang, Menghan Hu, Jian Zhang, Qingli Li, Guangtao Zhai, Xiao-Ping Zhang:
Identification of deep breath while moving forward based on multiple body regions and graph signal analysis. CoRR abs/2010.11734 (2020)
2010 – 2019
- 2018
- [c12]Cheng Yang, Gene Cheung, Vladimir Stankovic:
Alternating Binary Classifier and Graph Learning from Partial Labels. APSIPA 2018: 1137-1140 - [c11]Cheng Yang, Gene Cheung, Seishi Takamura:
RD-Optimized 3D Planar Model Reconstruction & Encoding for Video Compression. ICIP 2018: 3613-3617 - [c10]Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic, Cheng Yang:
Local 3D Point Cloud Denoising via Bipartite Graph Approximation & Total Variation. MMSP 2018: 1-6 - [i1]Jin Zeng, Gene Cheung, Michael Ng, Jiahao Pang, Cheng Yang:
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model. CoRR abs/1803.07252 (2018) - 2017
- [j5]Cheng Yang, Gene Cheung, Vladimir Stankovic, Kevin Chan, Nobutaka Ono:
Sleep Apnea Detection via Depth Video and Audio Feature Learning. IEEE Trans. Multim. 19(4): 822-835 (2017) - [j4]Cheng Yang, Gene Cheung, Vladimir Stankovic:
Estimating Heart Rate and Rhythm via 3D Motion Tracking in Depth Video. IEEE Trans. Multim. 19(7): 1625-1636 (2017) - [c9]Minxiang Ye, Cheng Yang, Vladimir Stankovic, Lina Stankovic, Samuel Cheng:
Gait phase classification for in-home gait assessment. ICME 2017: 1524-1529 - [c8]Kanghang He, Cheng Yang, Vladimir Stankovic, Lina Stankovic:
Graph-based clustering for identifying region of interest in eye tracker data analysis. MMSP 2017: 1-6 - 2016
- [j3]Cheng Yang, Andrew Kerr, Vladimir Stankovic, Lina Stankovic, Philip J. Rowe, Samuel Cheng:
Human Upper Limb Motion Analysis for Post-Stroke Impairment Assessment Using Video Analytics. IEEE Access 4: 650-659 (2016) - [j2]Cheng Yang, Ukadike Chris Ugbolue, Andrew Kerr, Vladimir Stankovic, Lina Stankovic, Bruce Carse, Konstantinos T. Kaliarntas, Philip J. Rowe:
Autonomous Gait Event Detection with Portable Single-Camera Gait Kinematics Analysis System. J. Sensors 2016: 5036857:1-5036857:8 (2016) - [j1]Minxiang Ye, Cheng Yang, Vladimir Stankovic, Lina Stankovic, Andrew Kerr:
A Depth Camera Motion Analysis Framework for Tele-rehabilitation: Motion Capture and Person-Centric Kinematics Analysis. IEEE J. Sel. Top. Signal Process. 10(5): 877-887 (2016) - 2015
- [c7]Minxiang Ye, Cheng Yang, Vladimir Stankovic, Lina Stankovic, Andrew Kerr:
Gait analysis using a single depth camera. GlobalSIP 2015: 285-289 - [c6]Minxiang Ye, Cheng Yang, Vladimir Stankovic, Lina Stankovic, Andrew Kerr:
Kinematics Analysis Multimedia System for Rehabilitation. ICIAP Workshops 2015: 571-579 - [c5]Cheng Yang, Gene Cheung, Vladimir Stankovic:
Estimating heart rate via depth video motion tracking. ICME 2015: 1-6 - 2014
- [c4]Cheng Yang, Andrew Kerr, Vladimir Stankovic, Lina Stankovic, Philip J. Rowe:
Upper limb movement analysis via marker tracking with a single-camera system. ICIP 2014: 2285-2289 - [c3]Cheng Yang, Gene Cheung, Kevin Chan, Vladimir Stankovic:
Sleep monitoring via depth video compression & analysis. ICME Workshops 2014: 1-6 - [c2]Cheng Yang, Yu Mao, Gene Cheung, Vladimir Stankovic, Kevin Chan:
Graph-based depth video denoising and event detection for sleep monitoring. MMSP 2014: 1-6 - 2013
- [c1]Cheng Yang, Ukadike Chris Ugbolue, Bruce Carse, Vladimir Stankovic, Lina Stankovic, Philip J. Rowe:
Multiple marker tracking in a single-camera system for gait analysis. ICIP 2013: 3128-3131
Coauthor Index
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