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ORCIDZijiang Yang 0008
Person information
- affiliation: Northwestern University, Department of Electrical and Computer Engineering, Evanston, IL, USA
Other persons with the same name
- Zijiang Yang — disambiguation page
- Zijiang Yang 0001
![[0000-0001-6469-5217]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6469-5217")
— York University, Toronto, ON, Canada - Zijiang Yang 0002 — Shandong University of Science and Technology, Qingdao, China
- Zijiang Yang 0003 — Dalian University of Technology, Dalian, China
- Zijiang Yang 0004 — LocNavi IoT (Guangzhou) Co., Ltd., Guangzhou, China
- Zijiang Yang 0005 — South China University of Technology, Guangzhou, China
- Zijiang Yang 0006 (aka: Zijiang James Yang) — Xi'an Jiaotong University, School of Computer Science, China (and 3 more)
- Zijiang Yang 0007 — University of Augsburg, Chair of Embedded Intelligence for Health Care & Wellbeing, Augsburg, Germany
- Zijiang Yang 0009 — University of Science and Technology Beijing, Beijing, China
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2020 – today
- 2021
[c6]Reda Al-Bahrani, Dipendra Jha, Qiao Kang, Sunwoo Lee, Zijiang Yang, Wei-Keng Liao, Ankit Agrawal, Alok N. Choudhary:
SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network. ICPRAM 2021: 349-356- [i3]Zijiang Yang, Dipendra Jha, Arindam Paul, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design. CoRR abs/2101.10553 (2021) - 2020
- [c5]Zijiang Yang, Tetsushi Watari, Daisuke Ichigozaki, Akita Mitsutoshi, Hiroaki Takahashi, Yoshinori Suga, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Heterogeneous Feature Fusion Based Machine Learning on Shallow-Wide and Heterogeneous-Sparse Industrial Datasets. ICPR Workshops (4) 2020: 566-577
2010 – 2019
- 2019
- [c4]Arindam Paul, Mojtaba Mozaffar, Zijiang Yang, Wei-keng Liao, Alok N. Choudhary, Jian Cao, Ankit Agrawal:
A Real-Time Iterative Machine Learning Approach for Temperature Profile Prediction in Additive Manufacturing Processes. DSAA 2019: 541-550 - [c3]Zijiang Yang, Tetsushi Watari, Daisuke Ichigozaki, Kei Morohoshi, Yoshinori Suga, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Data-Driven Insights from Predictive Analytics on Heterogeneous Experimental Data of Industrial Magnetic Materials. ICDM Workshops 2019: 806-813 - [c2]Zijiang Yang, Reda Al-Bahrani, Andrew C. E. Reid, Stefanos Papanikolaou, Surya R. Kalidindi, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics. IJCNN 2019: 1-8 - [c1]Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. KDD 2019: 2385-2393 - [i2]Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. CoRR abs/1907.03222 (2019) - [i1]Arindam Paul, Mojtaba Mozaffar, Zijiang Yang, Wei-keng Liao, Alok N. Choudhary, Jian Cao, Ankit Agrawal:
A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes. CoRR abs/1907.12953 (2019)
Coauthor Index
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