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2020 – today
- 2024
[j8]Fei Xue, Jinjiang Li
, Min Zhang, Juanjuan Wu:
Goldbach-Linnik-Type Problem of Symmetric Mixed Powers of Primes and Powers of Two. Symmetry 16(8): 945 (2024)- [j7]Jinping Liu, Junqi Zhao, Lihui Cen, Xiaoqiang Wu, Juanjuan Wu, Kun Zhang, Ying Zhou:
Automated Segmentation of COVID-19 Lung Infections From Chest CT Images via 2.5-D Dual-Path Encoder With Multiscale Dynamic Weight Deep Supervision Mechanism. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - 2023
- [j6]Jiaguo Liu, Juanjuan Wu, Yu (jack) Gong:
Maritime supply chain resilience: From concept to practice. Comput. Ind. Eng. 182: 109366 (2023) - 2022
- [j5]Wenfeng Liu, Juanjuan Wu, Zhong Xi:
Privacy protection methods of location services in big data. Open Comput. Sci. 12(1): 389-402 (2022) - [j4]Jinping Liu, Juanjuan Wu, Yongfang Xie, Wang Jie, Pengfei Xu, Zhaohui Tang, Huazhan Yin:
Toward robust process monitoring of complex process industries based on denoising sparse auto-encoder. J. Ind. Inf. Integr. 30: 100410 (2022) - 2021
- [j3]Juanjuan Wu, Sanga Song, Claire Haesung Whang:
Personalizing 3D virtual fashion stores: Exploring modularity with a typology of atmospherics based on user input. Inf. Manag. 58(4): 103461 (2021) - [j2]Juanjuan Wu, Sanga Song:
Older Adults' Online Shopping Continuance Intentions: Applying the Technology Acceptance Model and the Theory of Planned Behavior. Int. J. Hum. Comput. Interact. 37(10): 938-948 (2021) - [c3]Lianye Liu, Jinping Liu, Juanjuan Wu, Jiaming Zhou, Meiling Cai:
Novelty Detection-Based Automated Anomaly Identification via Optimized Deep Generative Model. Big Data (CCF) 2021: 117-134
2010 – 2019
- 2014
- [j1]Juanjuan Wu, Yongkang Zhang, Cuiping Li:
On the number of zeros of Abelian integrals for a kind of quartic Hamiltonians. Appl. Math. Comput. 228: 329-335 (2014)
2000 – 2009
- 2009
- [c2]Hailong Hou, Juanjuan Wu, Yanqing Zhang:
A Self-Adaptive Bayesian Model for Epidemics Detection based on Dynamic Web Data. BIOCOMP 2009: 770-773 - [c1]Qiang Zhang, Xiaofeng Zhang, Juanjuan Wu:
Research on Dynamic Response of Riverbed Deformation Based on Theory of BP Neural Network. ISNN (4) 2009: 865-873
Coauthor Index
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