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ORCIDYuan Wu 0002
Person information
- affiliation: Carleton University, School of Computer Science, Ottawa, ON, Canada
- affiliation: Lanzhou University, School of Information Science and Engineering, China
Other persons with the same name
- Yuan Wu — disambiguation page
- Yuan Wu 0001
![[0000-0001-6661-9461]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6661-9461")
— University of Macau, State Key Laboratory of Internet of Things for Smart City, Macau (and 1 more) - Yuan Wu 0003 — University of California, Division of Biomedical Informatics, San Diego, CA, USA
- Yuan Wu 0004 — Fudan University, School of Computer Science, Shanghai, China
- Yuan Wu 0005 — Waseda University, Faculty of Human Sciences, Tokorozawa, Japan
- Yuan Wu 0006 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan, China (and 1 more)
- Yuan Wu 0007 — Wuhan Textile University, School of Computer Science and Artificial Intelligence, Engineering Research Center of Hubei Province for Clothing Information, Wuhan, China (and 1 more)
- Yuan Wu 0008 — Southwest China Institute of Electronic Technology, Chengdu, China
- Yuan Wu 0009 — National Tsing Hua University, Department of Electrical Engineering, Hsinchu, Taiwan
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2020 – today
- 2022
[c8]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Co-Regularized Adversarial Learning for Multi-Domain Text Classification. AISTATS 2022: 6690-6701- [c7]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Maximum Batch Frobenius Norm for Multi-Domain Text Classification. ICASSP 2022: 3763-3767 - [i8]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Co-Regularized Adversarial Learning for Multi-Domain Text Classification. CoRR abs/2201.12796 (2022) - [i7]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Maximum Batch Frobenius Norm for Multi-Domain Text Classification. CoRR abs/2202.00537 (2022) - 2021
- [c6]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification. ICASSP 2021: 7733-7737 - [c5]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation. ICCVW 2021: 132-141 - [i6]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification. CoRR abs/2102.00467 (2021) - [i5]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Conditional Adversarial Networks for Multi-Domain Text Classification. CoRR abs/2102.10176 (2021) - [i4]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation. CoRR abs/2108.06583 (2021) - 2020
- [c4]Yuan Wu, Yuhong Guo:
Dual Adversarial Co-Learning for Multi-Domain Text Classification. AAAI 2020: 6438-6445 - [c3]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Dual Mixup Regularized Learning for Adversarial Domain Adaptation. ECCV (29) 2020: 540-555 - [i3]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Dual Mixup Regularized Learning for Adversarial Domain Adaptation. CoRR abs/2007.03141 (2020)
2010 – 2019
- 2019
- [j2]Yuan Wu, Lingling Li, Li Liu, Ye Liu:
Nondestructive measurement of internal quality attributes of apple fruit by using NIR spectroscopy. Multim. Tools Appl. 78(4): 4179-4195 (2019) - [i2]Yuan Wu, Yuhong Guo:
Dual Adversarial Co-Learning for Multi-Domain Text Classification. CoRR abs/1909.08203 (2019) - 2018
- [j1]Yuan Wu, Li Liu, Lingling Li, Min Lu, Lian Li:
Determining senior wellness status using an intelligent system based on wireless sensor network and bioinformation. Web Intell. 16(3): 159-166 (2018) - [c2]Lingling Li, Caihong Li, Yuan Wu, Yi Yang, Yixuan Zhang, Hairui Zhang, Bin Wu, Li Liu, Rong Xie:
Spectroscopy-Based Food Internal Quality Evaluation with XGBoost Algorithm. APWeb/WAIM Workshops 2018: 56-64 - [i1]Yuan Wu, Lingling Li, Lian Li:
Chi-Square Test Neural Network: A New Binary Classifier based on Backpropagation Neural Network. CoRR abs/1809.01079 (2018) - 2017
- [c1]Yuan Wu, Li Liu, Jinlong Kang, Lingling Li, Bingqing Huang:
Measuring the Wellness Indices of the Elderly Using RFID Sensors Data in a Smart Nursing Home. APWeb/WAIM Workshops 2017: 66-73
Coauthor Index
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