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ORCIDKai Yang 0031
Person information
- affiliation: Yangzhou University, College of Information Engineering, Yangzhou, China
- affiliation (PhD 2019): University of Shanghai for Science and Technology, Shanghai, China
Other persons with the same name
- Kai Yang — disambiguation page
- Kai Yang 0001
![[0000-0002-5983-198X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5983-198X")
— Tongji University, Department of Computer Science, Shanghai, China (and 4 more) - Kai Yang 0002 — Tianjin University, Institute of Systems Engineering, China (and 1 more)
- Kai Yang 0003 — Huaqiao University, College of Mechanical Engineering and Automation, Xiamen, China
- Kai Yang 0004 — Beijing Institute of Technology, School of Information and Electronics, China (and 5 more)
- Kai Yang 0005 — Wayne State University, Department of Industrial and Systems Engineering, Detroit, MI, USA
- Kai Yang 0006 — JD Technology Group, Beijing, China (and 3 more)
- Kai Yang 0007 — Shenzhen University, College of Economics, Shenzhen, China (and 2 more)
- Kai Yang 0008 — Harbin Institute of Technology, State Key Laboratory of Robotics and Systems, Harbin, China
- Kai Yang 0009 — Indiana University-Purdue University Indianapolis, Department of Electrical and Computer Engineering, Indianapolis, IN, USA
- Kai Yang 0010 — Hunan ZOOMLION Intelligent Technology Corporation Limited, Department of Electronic Products, Changsha, China
- Kai Yang 0011 — Chongqing University, China (and 1 more)
- Kai Yang 0012 — Hengyang Normal University, College of Computer Science and Technology, Hengyang, China
- Kai Yang 0013 — Changchun University of Technology, School of Mathematics and Statistics, Changchun, China
- Kai Yang 0014 — Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, China
- Kai Yang 0015 — Southeast University, School of Mathematics, Nanjing, China
- Kai Yang 0016 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Wuhan, China
- Kai Yang 0017 — China Aerodynamics Research and Development Center, Mianyang, China (and 1 more)
- Kai Yang 0018 — Harbin Institute of Technology, Department of Computer Science and Technology, Shenzhen, China
- Kai Yang 0019 — Qingdao Agricultural University, Science and Information College, Qingdao, China
- Kai Yang 0020 — University of Southampton, School of Electronics and Computer Science, Southampton, UK (and 1 more)
- Kai Yang 0021 — Tongji University, School of Marine and Earth Science, State Key Laboratory of Marine Geology, Shanghai, China
- Kai Yang 0022 — Ant Financial Services Group, Hangzhou, China (and 1 more)
- Kai Yang 0023 — Shandong University of Science and Technology, College of Electronic Information Engineering, Qingdao, China
- Kai Yang 0024 — Southwest Jiaotong University, School of Physical Science and Technology, Chengdu, China
- Kai Yang 0025 — Wuhan Institute of Technology, School of Mechanical and Electrical Engineering, Wuhan, China
- Kai Yang 0026 — National University of Defense Technology, State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Changsha, China
- Kai Yang 0027 — Science Systems and Applications, Inc., Lanham, MD, USA (and 3 more)
- Kai Yang 0028 — University of Florida, Gainesville, FL, USA (and 1 more)
- Kai Yang 0029 — China Mobile Research Institute, Beijing, China
- Kai Yang 0030 — University of Electronic Science and Technology of China, School of Aeronautics and Astronautics, Chengdu, China
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2020 – today
- 2024
[j2]Kai Yang, Yuan Liu, Zijuan Zhao, Peijin Ding, Wenqian Zhao:
Local structure-aware graph contrastive representation learning. Neural Networks 172: 106083 (2024)- [j1]Zijuan Zhao, Zequn Zhu, Yuan Liu, Jinli Guo, Kai Yang:
Heterogeneous Graph Contrastive Learning With Augmentation Graph. IEEE Trans. Artif. Intell. 5(10): 5100-5109 (2024) - 2023
- [i1]Kai Yang, Yuan Liu, Zijuan Zhao, Peijin Ding, Wenqian Zhao:
Local Structure-aware Graph Contrastive Representation Learning. CoRR abs/2308.03271 (2023)
2010 – 2019
- 2018
- [c1]Guosheng Hu, Yuxin Hu, Kai Yang, Zehao Yu, Flood Sung, Zhihong Zhang, Fei Xie, Jianguo Liu, Neil Martin Robertson, Timothy M. Hospedales, Qiangwei Miemie:
Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions. ICASSP 2018: 2706-2710
Coauthor Index
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