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Jinhong Wu
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2020 – today
- 2025
- [j12]Yanzhi Wang, Jinhong Wu, Shuyang Luo, Ziyang Yu, Qi Zhou:
A Lightweight Reprogramming Framework for Cross-Device Fault Diagnosis in Edge Computing. IEEE Trans. Instrum. Meas. 74: 1-12 (2025) - 2024
- [j11]Xufeng Huang, Tingli Xie, Shuyang Luo, Jinhong Wu, Rongmin Luo, Qi Zhou:
Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis. Eng. Appl. Artif. Intell. 133: 108212 (2024) - [j10]Yanzhi Wang, Ziyang Yu, Jinhong Wu, Chu Wang, Qi Zhou, Jiexiang Hu:
Adaptive Knowledge Distillation-Based Lightweight Intelligent Fault Diagnosis Framework in IoT Edge Computing. IEEE Internet Things J. 11(13): 23156-23169 (2024) - [j9]Xufeng Huang, Tingli Xie, Jinhong Wu, Qi Zhou, Jiexiang Hu:
Deep continuous convolutional networks for fault diagnosis. Knowl. Based Syst. 292: 111623 (2024) - [j8]Jinhong Wu, Tianye Liu, Keliang Mu, Lei Zhou:
Identification and causal analysis of predatory open access journals based on interpretable machine learning. Scientometrics 129(4): 2131-2158 (2024) - [i4]Chu Wang, Jinhong Wu, Yanzhi Wang, Zhijian Zha, Qi Zhou:
MPIPN: A Multi Physics-Informed PointNet for solving parametric acoustic-structure systems. CoRR abs/2403.01132 (2024) - [i3]Chu Wang, Jinhong Wu, Yanzhi Wang, Zhijian Zha, Qi Zhou:
Dynamic Gaussian Graph Operator: Learning parametric partial differential equations in arbitrary discrete mechanics problems. CoRR abs/2403.02810 (2024) - 2023
- [j7]Jinhong Wu, Konstantinos N. Plataniotis, Lucy Z. Liu, Ehsan Amjadian, Yuri A. Lawryshyn:
Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data. Algorithms 16(2): 121 (2023) - [j6]Yanzhi Wang, Jinhong Wu, Ziyang Yu, Jiexiang Hu, Qi Zhou:
A structurally re-parameterized convolution neural network-based method for gearbox fault diagnosis in edge computing scenarios. Eng. Appl. Artif. Intell. 126: 107091 (2023) - [j5]Jinhong Wu, Xingxing Feng, Xuan Cai, Xufeng Huang, Qi Zhou:
A deep learning-based multi-fidelity optimization method for the design of acoustic metasurface. Eng. Comput. 39(5): 3421-3439 (2023) - 2022
- [c17]Xueliang Yu, Jinhong Wu:
Analysis of the evolution of China's platform economy policy from the perspective of policy instruments. WHICEB 2022: 69 - 2021
- [j4]Qi Zhou, Jinhong Wu, Tao Xue, Peng Jin:
A two-stage adaptive multi-fidelity surrogate model-assisted multi-objective genetic algorithm for computationally expensive problems. Eng. Comput. 37(1): 623-639 (2021) - 2020
- [c16]Jinhong Wu, Caiyun Huang, Yongyue Chen:
Patent Text Classification Study Based on Bi-LSTM-A Model. CRC 2020: 8-12
2010 – 2019
- 2016
- [c15]Zili Li, Li Zeng, Hua Zhong, Jinhong Wu:
Research Hotspots and Trends in Swarm Intelligence: From 2000 to 2015. ICSI (1) 2016: 24-35 - 2014
- [j3]Mostafa El-Khamy, Jinhong Wu, Jungwon Lee, Inyup Kang:
Online log-likelihood ratio scaling for robust turbo decoding. IET Commun. 8(2): 217-226 (2014) - [c14]Jinhong Wu, Mostafa El-Khamy, Jungwon Lee, Inyup Kang:
LLR optimization for iterative MIMO BICM receivers. ICASSP 2014: 1956-1960 - 2013
- [c13]Jinhong Wu, Mostafa El-Khamy, Jungwon Lee, Inyup Kang:
BICM performance improvement via online LLR optimization. WCNC 2013: 3850-3855 - [i2]Jinhong Wu, Branimir R. Vojcic, Jia Sheng:
Stopping Criteria for Iterative Decoding based on Mutual Information. CoRR abs/1302.1461 (2013) - [i1]Jinhong Wu, Mostafa El-Khamy, Jungwon Lee, Inyup Kang:
BICM Performance Improvement via Online LLR Optimization. CoRR abs/1303.4452 (2013) - 2012
- [c12]Jinhong Wu, Branimir R. Vojcic, Jia Sheng:
Stopping criteria for iterative decoding based on mutual information. ACSCC 2012: 183-187 - [c11]Mostafa El-Khamy, Jinhong Wu, Jungwon Lee, Heejin Roh, Inyup Kang:
Near-optimal turbo decoding in presence of SNR estimation error. GLOBECOM 2012: 3737-3742 - 2011
- [c10]Jinhong Wu, Harry Z. B. Chen, Yong Liu, Liyu Cai:
User clustering and energy efficient cooperation in cellular networks. ACSCC 2011: 1650-1654 - 2010
- [c9]Jinhong Wu:
An Ontology-Based Context Awareness Approach in Autonomous Mobile Learning. ICEE 2010: 1755-1759
2000 – 2009
- 2009
- [j2]Jinhong Wu, Zhengdao Wang, Branimir R. Vojcic:
Partial iterative decoding for binary turbo codes via cross-entropy based bit selection. IEEE Trans. Commun. 57(11): 3298-3306 (2009) - [j1]Shengli Zhou, Zhengdao Wang, Jinhong Wu:
Transmitter optimization and performance gain for multiple-input single-output systems with finite-rate direction feedback. IEEE Trans. Wirel. Commun. 8(5): 2253-2258 (2009) - [c8]Jinhong Wu, Branimir R. Vojcic:
Combining iterative SOVA and Log-MAP algorithms for turbo decoding. CISS 2009: 420-423 - [c7]Jinhong Wu, Branimir R. Vojcic:
Near-capacity performance soft output sphere decoding based on short list detection and metrics combining. CISS 2009: 524-527 - [c6]Jinhong Wu, Branimir R. Vojcic:
Partial iterative equalization and channel decoding. ICASSP 2009: 2657-2660 - 2008
- [c5]Jinhong Wu, Milos Doroslovacki:
Partial update NLMS algorithm for sparse system identification with switching between coefficient-based and input-based selection. CISS 2008: 237-240 - [c4]Jinhong Wu, Branimir R. Vojcic, Zhengdao Wang:
Cross-entropy based symbol selection and partial iterative decoding for serial concatenated convolutional codes. CISS 2008: 1104-1107 - 2007
- [c3]Jinhong Wu, Milos Doroslovacki:
A Mean Convergence Analysis for Partial Update NLMS Algorithms. CISS 2007: 31-34 - [c2]Jinhong Wu, Branimir R. Vojcic, Zhengdao Wang:
Turbo Decoding Complexity Reduction by Symbol Selection and Partial Iterations. GLOBECOM 2007: 3910-3914 - 2006
- [c1]Shengli Zhou, Jinhong Wu, Zhengdao Wang, Milos Doroslovacki:
Quantifying the Performance Gain of Direction Feedback in a MISO System. CISS 2006: 573-578
Coauthor Index
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