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Jia Qian
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Journal Articles
- 2024
- [j9]Jia Qian, Jiannan Shen, Xiaofeng Shao:
Selling mode choice with logistics service: Reselling or online marketplace? Electron. Commer. Res. Appl. 67: 101434 (2024) - 2023
- [j8]Jia Qian:
A New Evolution Model for Collaborative Management of Knowledge Resources. Int. J. Emerg. Technol. Learn. 18(16): 4-18 (2023) - [j7]Kai Xiao, Jia Qian, Teng Li, Yuanxi Peng:
Multispectral LiDAR Point Cloud Segmentation for Land Cover Leveraging Semantic Fusion in Deep Learning Network. Remote. Sens. 15(1): 243 (2023) - 2022
- [j6]Jiannan Shen, Jia Qian, Xiaofeng Shao:
Service channel choice for supply chain under online marketplace. Int. Trans. Oper. Res. 29(4): 2401-2422 (2022) - 2020
- [j5]Jia Qian, Lars Kai Hansen, Xenofon Fafoutis, Prayag Tiwari, Hari Mohan Pandey:
Robustness analytics to data heterogeneity in edge computing. Comput. Commun. 164: 229-239 (2020) - [j4]Jia Qian, Prayag Tiwari, Sarada Prasad Gochhayat, Hari Mohan Pandey:
A Noble Double-Dictionary-Based ECG Compression Technique for IoTH. IEEE Internet Things J. 7(10): 10160-10170 (2020) - [j3]Sujit Bebortta, Dilip Senapati, Nikhil Kumar Rajput, Amit Kumar Singh, Vipin Kumar Rathi, Hari Mohan Pandey, Amit Kumar Jaiswal, Jia Qian, Prayag Tiwari:
Evidence of power-law behavior in cognitive IoT applications. Neural Comput. Appl. 32(20): 16043-16055 (2020) - 2019
- [j2]Jia Qian, Matteo Comin:
MetaCon: unsupervised clustering of metagenomic contigs with probabilistic k-mers statistics and coverage. BMC Bioinform. 20-S(9): 367:1-367:12 (2019) - 2018
- [j1]Prayag Tiwari, Jia Qian, Qiuchi Li, Benyou Wang, Deepak Gupta, Ashish Khanna, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque:
Detection of subtype blood cells using deep learning. Cogn. Syst. Res. 52: 1036-1044 (2018)
Conference and Workshop Papers
- 2021
- [c8]Jia Qian, Lili Wang:
Online Matching Method of News Communication Innovative Teaching Mode Driven by Artificial Intelligence. ICMTEL (2) 2021: 117-127 - [c7]Jia Qian, Li-li Wang, Hai-yue Huang:
A New Confidence Propagation Algorithm for Regional Image Based on Deep Learning. ICMTEL (2) 2021: 448-461 - [c6]Jia Qian, Mohammadreza Barzegaran:
A Decomposed Deep Training Solution for Fog Computing Platforms. SEC 2021: 423-431 - 2020
- [c5]Jinjun Li, Guixin Qian, Jia Qian:
Research on Decision-making Process Optimization of Shipborne Close-in Anti-missile Weapons. CoDIT 2020: 1139-1143 - [c4]Mohammadreza Barzegaran, Nitin Desai, Jia Qian, Koen Tange, Bahram Zarrin, Paul Pop, Juha Kuusela:
Fogification of electric drives: An industrial use case. ETFA 2020: 77-84 - 2019
- [c3]Jia Qian, Sarada Prasad Gochhayat, Lars Kai Hansen:
Distributed Active Learning Strategies on Edge Computing. CSCloud/EdgeCom 2019: 221-226 - 2018
- [c2]Jia Qian, Matteo Comin, Livio Pianura:
Data-Driven Smart Bike-Sharing System by Implementing Machine Learning Algorithms. ES 2018: 50-55 - 2017
- [c1]Jia Qian, Davide Marchiori, Matteo Comin:
Fast and Sensitive Classification of Short Metagenomic Reads with SKraken. BIOSTEC (Selected Papers) 2017: 212-226
Informal and Other Publications
- 2020
- [i3]Jia Qian, Xenofon Fafoutis, Lars Kai Hansen:
Towards Federated Learning: Robustness Analytics to Data Heterogeneity. CoRR abs/2002.05038 (2020) - [i2]Jia Qian, Lars Kai Hansen:
What can we learn from gradients? CoRR abs/2010.15718 (2020) - 2019
- [i1]Jia Qian, Sayantan Sengupta, Lars Kai Hansen:
Active Learning Solution on Distributed Edge Computing. CoRR abs/1906.10718 (2019)
Coauthor Index
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