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Publication search results
found 77 matches
- 2024
- Qiuhua Yi, Xiangfan Chen, Chenwei Zhang, Zehai Zhou, Linan Zhu, Xiangjie Kong:
Diffusion models in text generation: a survey. PeerJ Comput. Sci. 10: e1905 (2024) - Jaelen Tarry, Xishuang Dong, Xiangfang Li, Lijun Qian, Leah Chance, Philip Morrone:
Unsupervised Ensemble Semantic Segmentation for Foreground-Background Separation on Satellite Image. ICSC 2024: 212-217 - 2023
- Xiangfa Li, Bo Li, Ting Jin, Peiyao Zheng:
Uncertain random portfolio optimization with non-dominated sorting genetic algorithm-II and optimal solution criterion. Artif. Intell. Rev. 56(8): 8511-8546 (2023) - Xishuang Dong, Shanta Chowdhury, Uboho Victor, Xiangfang Li, Lijun Qian:
Semi-Supervised Deep Learning for Cell Type Identification From Single-Cell Transcriptomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1492-1505 (2023) - Taoreed Akinola, Xiangfang Li, Richard Wilkins, Pamela Obiomon, Lijun Qian:
Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation. IPDPS Workshops 2023: 501-508 - Taoreed Akinola, Xiangfang Li, Richard Wilkins, Pamela Obiomon, Lijun Qian:
Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation. CoRR abs/2301.04705 (2023) - 2022
- Hao Lv, Xiangfang Zeng, Feng Bao, Jun Xie, Rongbing Lin, Zhenghong Song, Gongbo Zhang:
ADE-Net: A Deep Neural Network for DAS Earthquake Detection Trained With a Limited Number of Positive Samples. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - Yongjia Lei, Zhiying Cui, Linyan Dai, Ning Xiao, Xiangjie Wang, Xiangfang Ma, Ying Hong:
The Development of Traffic Flow Prediction Based on Deep Learning: A Literature Review. ICCCS 2022: 140-145 - Lucy Nwosu, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong:
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image. CoRR abs/2206.00002 (2022) - 2021
- Ren Xiangfang, Shen Lei, Miaomiao Liu, Xiying Zhang, Chen Han:
Research and sustainable design of wearable sensor for clothing based on body area network. Cogn. Comput. Syst. 3(3): 206-220 (2021) - Joshua Bassey, Xiangfang Li, Lijun Qian:
Device Authentication Codes based on RF Fingerprinting using Deep Learning. EAI Endorsed Trans. Security Safety 8(29): e5 (2021) - Bo Yang, Xuelin Cao, Joshua Bassey, Xiangfang Li, Lijun Qian:
Computation Offloading in Multi-Access Edge Computing: A Multi-Task Learning Approach. IEEE Trans. Mob. Comput. 20(9): 2745-2762 (2021) - Xiangfang Yan, Wei Li, Ying Huang, Soroosh Mahmoodi:
An Adaptive Parameter for Max-Min Elite Ant System to Solve CVRP Problem. CIS 2021: 580-584 - Joshua Bassey, Lijun Qian, Xiangfang Li:
A Survey of Complex-Valued Neural Networks. CoRR abs/2101.12249 (2021) - Lucy Nwuso, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong:
Semi-supervised Learning for COVID-19 Image Classification via ResNet. CoRR abs/2103.06140 (2021) - 2020
- Bo Yang, Xuelin Cao, Oluwaseyi Omotere, Xiangfang Li, Zhu Han, Lijun Qian:
Improving Medium Access Efficiency With Intelligent Spectrum Learning. IEEE Access 8: 94484-94498 (2020) - Samuel Oludare Bamgbose, Xiangfang Li, Lijun Qian:
Neural network-based non-linear adaptive controller design for a class of bilinear system. Cogn. Comput. Syst. 2(1): 1-11 (2020) - Bo Yang, Xuelin Cao, Xiangfang Li, Qinqing Zhang, Lijun Qian:
Mobile-Edge-Computing-Based Hierarchical Machine Learning Tasks Distribution for IIoT. IEEE Internet Things J. 7(3): 2169-2180 (2020) - Bo Yang, Xuelin Cao, Xiangfang Li, Chau Yuen, Lijun Qian:
Lessons Learned From Accident of Autonomous Vehicle Testing: An Edge Learning-Aided Offloading Framework. IEEE Wirel. Commun. Lett. 9(8): 1182-1186 (2020) - Shanta Chowdhury, Xishuang Dong, Oscar A. Solis, Lijun Qian, Xiangfang Li:
Cell Type Identification from Single-Cell Transcriptomic Data via Gene Embedding. ICMLA 2020: 258-263 - Joshua Bassey, Xiangfang Li, Lijun Qian:
Device Authentication Codes based on RF Fingerprinting using Deep Learning. CoRR abs/2004.08742 (2020) - Xishuang Dong, Shanta Chowdhury, Uboho Victor, Xiangfang Li, Lijun Qian:
Cell Type Identification from Single-Cell Transcriptomic Data via Semi-supervised Learning. CoRR abs/2005.03994 (2020) - Bo Yang, Xuelin Cao, Xiangfang Li, Chau Yuen, Lijun Qian:
Lessons Learned from Accident of Autonomous Vehicle Testing: An Edge Learning-aided Offloading Framework. CoRR abs/2006.15382 (2020) - Bo Yang, Xuelin Cao, Joshua Bassey, Xiangfang Li, Timothy S. Kroecker, Lijun Qian:
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach. CoRR abs/2006.16104 (2020) - 2019
- Feng Yang, Baoxin Liu, Laiqin Zhao, Xiangfang Peng:
Recognition of the Purchasing Intentions of WeChat Users Based on Forgetting Curve. Rev. d'Intelligence Artif. 33(1): 61-65 (2019) - Shanta Chowdhury, Xishuang Dong, Xiangfang Li:
Recurrent Neural Network Based Feature Selection for High Dimensional and Low Sample Size Micro-array Data. IEEE BigData 2019: 4823-4828 - Joshua Bassey, Damilola Adesina, Xiangfang Li, Lijun Qian, Alexander J. Aved, Timothy S. Kroecker:
Intrusion Detection for IoT Devices based on RF Fingerprinting using Deep Learning. FMEC 2019: 98-104 - Bo Yang, Xuelin Cao, Joshua Bassey, Xiangfang Li, Timothy S. Kroecker, Lijun Qian:
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach. ICC 2019: 1-6 - Joshua Bassey, Xiangfang Li, Lijun Qian:
An Experimental Study of Multi-Layer Multi-Valued Neural Network. ICDIS 2019: 233-236 - Bo Yang, Xuelin Cao, Xiangfang Li, Timothy S. Kroecker, Lijun Qian:
Joint Communication and Computing Optimization for Hierarchical Machine Learning Tasks Distribution. ISCC 2019: 1-6
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