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ORCIDXiaodong Jia 0005
Person information
- affiliation: Wuhan University, School of Computer Science, China
Other persons with the same name
- Xiaodong Jia — disambiguation page
- Xiaodong Jia 0001
![[0000-0002-0456-3105]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0456-3105")
(aka: Xiao-Dong Jia 0001) — University of Cincinnati, NSF I/UCR Center for Intelligent Maintenance Systems, OH, USA - Xiaodong Jia 0002 — Hunan University, School of Mathematics, China (and 2 more)
- Xiaodong Jia 0003 — University of Leeds, Institute of Particle Science and Engineering, School of Process, Environmental and Materials Engineering, UK
- Xiaodong Jia 0004 — Pennsylvania State University, PA, USA
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2020 – today
- 2024
[j8]Xiaodong Jia, Xiao Chen:
AI-based optical-thermal video data fusion for near real-time blade segmentation in normal wind turbine operation. Eng. Appl. Artif. Intell. 127(Part B): 107325 (2024)- [j7]Shohreh Sheiati, Xiaodong Jia, Malcolm McGugan, Kim Branner, Xiao Chen:
Artificial intelligence-based blade identification in operational wind turbines through similarity analysis aided drone inspection. Eng. Appl. Artif. Intell. 137: 109234 (2024) - [j6]Wei Liu, Xiaoyuan Jing, Xiaodong Jia, Xiaoke Zhu, Yaru Hao:
Low-rank representation induced missing-view recovery for incomplete multi-view clustering. Neurocomputing 595: 127870 (2024) - [j5]Jin Zhuang, Xiao-Yuan Jing, Xiaodong Jia:
Mining negative samples on contrastive learning via curricular weighting strategy. Inf. Sci. 668: 120534 (2024) - 2023
- [j4]Xiaodong Jia, Xiao-Yuan Jing, Qixing Sun, Songcan Chen, Bo Du, David Zhang:
Human Collective Intelligence Inspired Multi-View Representation Learning - Enabling View Communication by Simulating Human Communication Mechanism. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7412-7429 (2023) - 2022
- [j3]Xiaodong Jia, Xiao-Yuan Jing, Xiaoke Zhu, Ziyun Cai, Chang-Hui Hu:
Co-embedding: a semi-supervised multi-view representation learning approach. Neural Comput. Appl. 34(6): 4437-4457 (2022) - [j2]Nana Huang, Ruimin Hu, Mingfu Xiong, Xiaoran Peng, Hongwei Ding, Xiaodong Jia, Lingkun Zhang:
Multi-scale Interest Dynamic Hierarchical Transformer for sequential recommendation. Neural Comput. Appl. 34(19): 16643-16654 (2022) - [c5]Qixing Sun, Xiaodong Jia, Xiao-Yuan Jing:
Addressing Contradiction Between Reconstruction and Correlation Maximization in Deep Canonical Correlation Autoencoders. ICANN (1) 2022: 697-708 - 2021
- [j1]Xiaodong Jia, Xiao-Yuan Jing, Xiaoke Zhu, Songcan Chen, Bo Du, Ziyun Cai, Zhenyu He, Dong Yue:
Semi-Supervised Multi-View Deep Discriminant Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2496-2509 (2021) - 2020
- [c4]Xin Li, Xiaodong Jia, Xiao-Yuan Jing:
Negative-Aware Training: Be Aware of Negative Samples. ECAI 2020: 1269-1275 - [c3]Fumin Qi, Xiao-Yuan Jing, Xiaoke Zhu, Xiaodong Jia, Li Cheng, Yichuan Dong, Ziseng Fang, Fei Ma, Shengzhong Feng:
Heterogeneous Software Effort Estimation via Cascaded Adversarial Auto-Encoder. PDCAT 2020: 17-29
2010 – 2019
- 2018
- [c2]Li Cheng, Xiao-Yuan Jing, Xiaoke Zhu, Fumin Qi, Fei Ma, Xiaodong Jia, Liang Yang, Chunhe Wang:
A Hybrid 2D and 3D Convolution Based Recurrent Network for Video-Based Person Re-identification. ICONIP (1) 2018: 439-451 - 2017
- [c1]Xiaodong Jia, Wendong Gong, Jie Yuan:
Handwritten Yi Character Recognition with Density-Based Clustering Algorithm and Convolutional Neural Network. CSE/EUC (1) 2017: 337-341
Coauthor Index
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