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ORCIDJie Yang 0009
Jack Yang 0003 – Jie (Jack) Yang
Person information
- affiliation: University of Wollongong, SMART Infrastructure Facility, NSW, Australia
Other persons with the same name
- Jie Yang — disambiguation page
- Jie Yang 0001 — Carnegie Mellon University, Pittsburgh, PA, USA
- Jie Yang 0002
![[0000-0003-4801-7162]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4801-7162")
— Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China (and 1 more) - Jie Yang 0003 — Florida State University, Tallahassee, FL, USA (and 1 more)
- Jie Yang 0004 — University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China
- Jie Yang 0005 — University of Massachusetts (and 1 more)
- Jie Yang 0006 — Ishizuka Lab, Tokyo University (and 1 more)
- Jie Yang 0007 — Dalian University of Technology, School of Mathematical Sciences, China
- Jie Yang 0008 — Cisco Systems (and 1 more)
- Jie Yang 0010 — Advanced Micro Devices (and 1 more)
- Jie Yang 0011 — Xidian University, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China, China
- Jie Yang 0012 — University of Houston-Victoria (and 1 more)
- Jie Yang 0013 — Syracuse University
- Jie Yang 0014 — IBM China Research Lab (and 1 more)
- Jie Yang 0015 — Yahoo! Labs (and 1 more)
- Jie Yang 0016 — South China University of Technology
- Jie Yang 0017 — Huazhong University of Science and Technology
- Jie Yang 0018 — Beijing Institute of Technology
- Jie Yang 0019 — Shanghai Second Polytechnic University
- Jie Yang 0020 — School of Business, Sun Yat-sen University
- Jie Yang 0021 — Wichita State University
- Jie Yang 0022 — Wuhan University of Technology, Key Laboratory of Fiber Optic Sensing Technology and Information Processing
- Jie Yang 0023 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Research Center of Network Monitoring and Analysis, Beijing Laboratory of Advanced Information Networks / Beijing Key Laboratory of Network System, Architecture and Convergence, China
- Jie Yang 0024 — Yanshan University, School of Electrical Engineering, Qinhuangdao, Hebei, China (and 1 more)
- Jie Yang 0025 — Southeast University, Development Research Center of Transportation Governed by Law, Nanjing, China
- Jie Yang 0026 — Jiangxi University of Science and Technology, Ganzhou, China (and 1 more)
- Jie Yang 0027 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, China
- Jie Yang 0028 — Delft University of Technology, The Netherlands (and 3 more)
- Jie Yang 0029 — Hunan University, College of Computer Science and Electronic Engineering, China
- Jie Yang 0030 — Temple University, School of Dentistry, Division of Oral and Maxillofacial Radiology, Philadelphia, USA
- Jie Yang 0031 — Anhui University, School of Physics & Material Science, Hefei, China
- Jie Yang 0032 — Xidian University, Institute of Intelligent Information Processing, Xi'an, China
- Jie Yang 0033 — Westlake University, Hangzhou, China (and 2 more)
- Jie Yang 0034 — Zhejiang A & F University, Jiyang College, Zhuji, China (and 1 more)
- Jie Yang 0035 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Jie Yang 0036 — RMIT University, School of Aerospace, Mechanical and Manufacturing Engineering, Melbourne, VIC, Australia
- Jie Yang 0037 — North University of China, Shanxi Provincial Key Laboratory for Biomedical Imaging and Big Data, Taiyuan, China
- Jie Yang 0038 — Institute of Computing Technolgy, Chinese Academy of Sciences, Beijing, China (and 1 more)
- Jie Yang 0039 — Harvard University, Harvard Medical School, USA (and 1 more)
- Jie Yang 0040 — Wuhan University, LIESMARS, China
- Jie Yang 0041 — Columbia University, Department of Biomedical Engineering, NY, USA
- Jie Yang 0042 — Nanjing Institute of Technology, School of Communication Engineering, China
- Jie Yang 0043 — Xi'an University of Technology, Institute of Water Resources and Hydro-Electric Engineering, China
- Jie Yang 0044 — Chongqing University, College of Computer Science, China
- Jie Yang 0045 — Northwestern University, Department of Civil and Environmental Engineering, Evanston, IL, USA
- Jie Yang 0046 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- Jie Yang 0047 — Fujian Agriculture and Forestry University, College of Management, Fuzhou, China (and 1 more)
- Jie Yang 0048 — Hangzhou Dianzi University, Management School, China (and 3 more)
- Jie Yang 0049 — Chongqing University of Technology, College of Mechanical Engineering, China (and 1 more)
- Jie Yang 0050 — Nanjing University of Posts and Telecommunications, College of Electronic and Optical Engineering, China
- Jie Yang 0051 — Hangzhou Dianzi University, Key Lab for IOT and Information Fusion Technology of Zhejiang, China (and 1 more)
- Jie Yang 0052 — Zunyi Normal University, School of Physics and Electronic Science, China (and 1 more)
- Jie Yang 0053 — PLA Strategy Support Force Information Engineering University, School of Information Systems Engineering, Zhengzhou, China
- Jack Yang 0001 — University of Münster, Germany
- Jack Yang 0002 — Monmouth Medical Center, Long Branch, NJ, USA
- Jack Yang 0004 — Bytedance, Seed Foundation Code Team, China
Other persons with a similar name
- Yangjie Cao (aka: Yang-Jie Cao)
- Yang Jie
- Alex Jie Yang
- Cheng-Jie Yang
- Jie-Chi Yang — National Central University Taoyuan, Graduate Institute of Network Learning Technology, Taiwan
- Jie-Ci Yang
- Jie Amy Yang
- Jie Xiang Yang
- Kai-Jie Yang
- Zhijie Yang (aka: Zhi-Jie Yang) — disambiguation page
- show all similar names
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2020 – today
- 2025
[j25]Shanaka Ramesh Gunasekara, Wanqing Li, Jack Yang, Philip O. Ogunbona:
Asynchronous Joint-Based Temporal Pooling for Skeleton-Based Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 35(1): 357-366 (2025)- 2024
- [j24]Zewei Ding, Wanqing Li, Jie Yang, Philip Ogunbona, Ling Qin:
An attention-based CNN for automatic whole-body postural assessment. Expert Syst. Appl. 238(Part F): 122391 (2024) - [c38]Rashed Iqbal, Christian H. Ritz, Jack Yang, Sarah K. Howard:
Few-Shot Audio Classification Model for Detecting Classroom Interactions Using LaSO Features in Prototypical Networks. APSIPA 2024: 1-6 - [c37]Chao Liu, Jie Yang, Wanqing Li:
Extractive Question Answering with Contrastive Puzzles and Reweighted Clues. ICDAR (6) 2024: 97-112 - [c36]Xun Yao, Zijian Huang, Xinrong Hu, Jie Yang, Yi Guo:
Masking the Unknown: Leveraging Masked Samples for Enhanced Data Augmentation. UAI 2024: 3997-4010 - [c35]Xinrong Hu, Wushuan Chen, Jie Yang, Yi Guo, Xun Yao, Bangchao Wang, Junping Liu, Ce Xu:
SCAD: Subspace Clustering based Adversarial Detector. WSDM 2024: 286-294 - [c34]Xun Yao, Zhixin Zhang, Xinrong Hu, Jie (Jack) Yang, Yi Guo, Daniel (Dianliang) Zhu:
COTER: Conditional Optimal Transport meets Table Retrieval. WSDM 2024: 911-919 - [i2]Shanaka Ramesh Gunasekara, Wanqing Li, Jack Yang, Philip Ogunbona:
Joint Temporal Pooling for Improving Skeleton-based Action Recognition. CoRR abs/2408.09356 (2024) - 2023
- [c33]Xun Yao, Ruyi He, Xinrong Hu, Jie Yang, Yi Guo, Zijian Huang:
Improving Adversarially Robust Sequential Recommendation through Generalizable Perturbations. IEEE Big Data 2023: 1299-1307 - [c32]Junping Liu, Mingkang Gong, Xinrong Hu, Jie Yang, Yi Guo:
MIRS: [MASK] Insertion Based Retrieval Stabilizer for Query Variations. DEXA (1) 2023: 392-407 - [c31]Shanaka Ramesh Gunasekara, Wanqing Li, Jie (Jack) Yang, Philip Ogunbona:
Joint Temporal Pooling for Improving Skeleton-based Action Recognition. DICTA 2023: 403-410 - [c30]Xinrong Hu, Ce Xu, Junlong Ma, Zijian Huang, Jie Yang, Yi Guo, Johan Barthélemy:
[MASK] Insertion: a robust method for anti-adversarial attacks. EACL (Findings) 2023: 1028-1040 - [c29]Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang, Yuan-Fang Li:
Improving Machine Reading Comprehension through A Simple Masked-Training Scheme. IJCNLP (Findings) 2023: 222-232 - [c28]Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang, Yi Guo, Junping Liu:
Towards Robust Token Embeddings for Extractive Question Answering. WISE 2023: 82-96 - [c27]Xun Yao, Qihang Yang, Xinrong Hu, Jie Yang, Yi Guo:
CREAM: Named Entity Recognition with Concise query and REgion-Aware Minimization. WISE 2023: 763-777 - 2022
- [j23]Jie Yang, Brian Yecies, Jun Ma, Wanqing Li:
Sparse fuzzy classification for profiling online users and relevant user-generated content. Expert Syst. Appl. 194: 116497 (2022) - [j22]Akbar Telikani, Jun Shen, Jie Yang, Peng Wang:
Industrial IoT Intrusion Detection via Evolutionary Cost-Sensitive Learning and Fog Computing. IEEE Internet Things J. 9(22): 23260-23271 (2022) - [j21]Jie Yang, Jun Ma, Khin Than Win, Junbin Gao, Zhenyu Yang:
Low-rank and sparse representation based learning for cancer survivability prediction. Inf. Sci. 582: 573-592 (2022) - [c26]Qiang Zhu, Cheng Hong, Bangchao Wang, Xinrong Hu, Jie Yang, Junping Liu:
Joint Extraction of Biomedical Entities and Relations based on Decomposition and Recombination Strategy. BIBM 2022: 1851-1856 - [c25]Akbar Telikani, Jun Shen, Peng Wang, Jie Yang:
A privacy-aware data sharing framework for Internet of Things through edge computing platform. EDGE 2022: 114-122 - [c24]Junping Liu, Shijie Mei, Xinrong Hu, Xun Yao, Jie (Jack) Yang, Yi Guo:
Seeing the wood for the trees: a contrastive regularization method for the low-resource Knowledge Base Question Answering. NAACL-HLT (Findings) 2022: 1085-1094 - [c23]Xinrong Hu, Jingjing Huang, Junping Liu, Qiang Zhu, Jie Yang:
Knowledge Graph Question Answering based on Contrastive Learning and Feature Transformation. QRS Companion 2022: 608-615 - 2021
- [j20]Sarah K. Howard, Jo Tondeur, Jun Ma, Jie Yang:
What to teach? Strategies for developing digital competency in preservice teacher training. Comput. Educ. 165: 104149 (2021) - [j19]Jo Tondeur, Sarah K. Howard, Jie Yang:
One-size does not fit all: Towards an adaptive model to develop preservice teachers' digital competencies. Comput. Hum. Behav. 116: 106659 (2021) - [c22]Jie Yang, Gang Huang, Jun Ma, Sarah K. Howard, Matthew Ciao, Junbin Gao:
Fuzzy contrastive learning for online behavior analysis. FUZZ-IEEE 2021: 1-6 - [c21]Junjie Jin, Xinrong Hu, Kai He, Tao Peng, Junping Liu, Jie Yang:
Progressive Semantic Reasoning for Image Inpainting. WWW (Companion Volume) 2021: 68-76 - [i1]Xun Yao, Junlong Ma, Xinrong Hu, Junping Liu, Jie Yang, Wanqing Li:
Context-guided Triple Matching for Multiple Choice Question Answering. CoRR abs/2109.12996 (2021) - 2020
- [j18]Chaoyu Yang, Jie Yang, Ying Liu, Xianya Geng:
Cancer Risk Analysis Based on Improved Probabilistic Neural Network. Frontiers Comput. Neurosci. 14: 58 (2020) - [j17]Chaoyu Yang, Jie Yang, Jun Ma:
Sparse Least Squares Support Vector Machine With Adaptive Kernel Parameters. Int. J. Comput. Intell. Syst. 13(1): 212-222 (2020) - [j16]Xiangqian Wang, Huizong Li, Jie Yang, Chaoyu Yang, Haixia Gui:
Optimal path selection for logistics transportation based on an improved ant colony algorithm. Int. J. Embed. Syst. 13(2): 200-208 (2020) - [j15]Jie Yang, Brian Yecies, Peter Yong Zhong:
Characteristics of Chinese Online Movie Reviews and Opinion Leadership Identification. Int. J. Hum. Comput. Interact. 36(3): 211-226 (2020) - [j14]Jie Yang, Jun Ma, Sarah K. Howard:
Usage profiling from mobile applications: A case study of online activity for Australian primary schools. Knowl. Based Syst. 191: 105214 (2020) - [c20]Zhenyu Yang, Jie Yang, Brian Yecies, Wanqing Li:
Multi-view learning for context-aware extractive summarization. SSCI 2020: 1762-1769
2010 – 2019
- 2019
- [j13]Jie Yang, Jun Ma:
Compressive sensing-enhanced feature selection and its application in travel mode choice prediction. Appl. Soft Comput. 75: 537-547 (2019) - [j12]Sarah K. Howard, Kate Thompson, Jie Yang, Jun Ma:
Working the system: Development of a system model of technology integration to inform learning task design. Br. J. Educ. Technol. 50(1): 326-341 (2019) - [j11]Jie Yang, Jun Ma:
Feed-forward neural network training using sparse representation. Expert Syst. Appl. 116: 255-264 (2019) - [c19]Jun Ma, Jie Yang, Sarah K. Howard:
A clustering algorithm based on fuzzy sets and its application in learning analytics. FUZZ-IEEE 2019: 1-6 - 2018
- [j10]Sarah K. Howard, Jie Yang, Jun Ma, Karl Maton, Ellie Rennie:
App clusters: Exploring patterns of multiple app use in primary learning contexts. Comput. Educ. 127: 154-164 (2018) - [j9]Nagesh Shukla, Markus Hagenbuchner, Khin Than Win, Jie (Jack) Yang:
Breast cancer data analysis for survivability studies and prediction. Comput. Methods Programs Biomed. 155: 199-208 (2018) - [j8]Lipeng Feng, Jun Ma, Yong Wang, Jie Yang:
Comparison Study on Development Path for Small and Medium-sized Enterprises E-commerce Using Complex Fuzzy Sets. Int. J. Comput. Intell. Syst. 11(1): 716-724 (2018) - [c18]Jie Yang, Brian Yecies:
Online opinion leadership in China's digital army: proposals for an empirical study of douban. ACSW 2018: 20:1-20:4 - [c17]Qiming Hu, Jie Yang, Khin Than Win, Xufeng Huang:
An Alternating Least Square Based Algorithm for Predicting Patient Survivability. AusDM 2018: 305-317 - [c16]Sarah K. Howard, Jie Yang, Jun Ma, Christian Ritz, Jiahong Zhao, Kylie Wynne:
Using Data Mining and Machine Learning Approaches to Observe Technology-Enhanced Learning. TALE 2018: 788-793 - 2017
- [j7]Charoula Angeli, Sarah K. Howard, Jun Ma, Jie Yang, Paul A. Kirschner:
Data mining in educational technology classroom research: Can it make a contribution? Comput. Educ. 113: 226-242 (2017) - [j6]Lipeng Feng, Jun Ma, Yong Wang, Jie Yang:
Supply chain downstream strategic cost evaluation using L-COPRAS method in cross-border E-commerce. Int. J. Comput. Intell. Syst. 10(1): 815-823 (2017) - [c15]Jie Yang, Jun Ma, Sarah K. Howard, Matthew Ciao, Rangan Srikhanta:
A big data analytic framework for investigating streaming educational data. ACSW 2017: 55:1-55:4 - [c14]Jun Ma, Lipeng Feng, Jie Yang:
Using complex fuzzy sets for strategic cost evaluation in supply chain downstream. FUZZ-IEEE 2017: 1-6 - [c13]Jie Yang, Jun Ma, Sarah K. Howard:
Investigating live streaming data for student behaviour modelling. FUZZ-IEEE 2017: 1-6 - 2016
- [j5]Sarah K. Howard, Jun Ma, Jie Yang:
Student rules: Exploring patterns of students' computer-efficacy and engagement with digital technologies in learning. Comput. Educ. 101: 29-42 (2016) - [j4]Jie Yang, Jun Ma:
A hybrid gene expression programming algorithm based on orthogonal design. Int. J. Comput. Intell. Syst. 9(4): 778-787 (2016) - [j3]Jie Yang, Brian Yecies:
Mining Chinese social media UGC: a big-data framework for analyzing Douban movie reviews. J. Big Data 3: 3 (2016) - [j2]Tao Jiang, Ping Yu, David Hailey, Jun Ma, Jie Yang:
The Impact of Electronic Health Records on Risk Management of Information Systems in Australian Residential Aged Care Homes. J. Medical Syst. 40(9): 204:1-204:7 (2016) - [j1]Jie Yang, Jun Ma:
A structure optimization framework for feed-forward neural networks using sparse representation. Knowl. Based Syst. 109: 61-70 (2016) - [c12]Jie Yang, Jun Ma, Sarah K. Howard:
Exploring technology integration in education using fuzzy representation and feature selection. FUZZ-IEEE 2016: 1288-1293 - [c11]Jun Ma, Jie Yang, Rohan Wickramasuriya Denagamage, Murad Safadi:
A conceptual model for clustering local government areas using complex fuzzy sets. FUZZ-IEEE 2016: 2020-2026 - 2015
- [c10]Jie Yang, Jun Ma:
A big-data processing framework for uncertainties in transportation data. FUZZ-IEEE 2015: 1-6 - 2014
- [c9]Jie Yang, Jun Ma:
A sparsity-based training algorithm for Least Squares SVM. CIDM 2014: 345-350 - [c8]Jie Yang, Jun Ma, Matthew Berryman, Pascal Perez:
A structure optimization algorithm of neural networks for large-scale data sets. FUZZ-IEEE 2014: 956-961 - 2011
- [c7]Jie Yang, Abdesselam Bouzerdoum, Fok Hing Chi Tivive, Moeness G. Amin:
Multiple-Measurement Vector model and its application to Through-the-Wall Radar Imaging. ICASSP 2011: 2672-2675 - 2010
- [c6]Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung:
A particle swarm optimization algorithm based on orthogonal design. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c5]Jie Yang, Abdesselam Bouzerdoum, Moeness G. Amin:
Multi-view through-the-wall radar imaging using compressed sensing. EUSIPCO 2010: 1429-1433 - [c4]Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung:
A training algorithm for sparse LS-SVM using Compressive Sampling. ICASSP 2010: 2054-2057 - [c3]Jie Yang, Abdesselam Bouzerdoum, Fok Hing Chi Tivive, Son Lam Phung:
Dimensionality reduction using compressed sensing and its application to a large-scale visual recognition task. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c2]Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung:
A New Approach to Sparse Image Representation Using MMV and K-SVD. ACIVS 2009: 200-209 - [c1]Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung:
A Neural Network pruning approach based on Compressive Sampling. IJCNN 2009: 3428-3435
Coauthor Index
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