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Hongcheng Li
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2020 – today
- 2024
- [j13]Chengjiu Zhu
, Haidong Yang, Xi Jin, Kangkang Xu
Multilayer Online Sequential Reduced Kernel Extreme Learning Machine-Based Modeling for Time-Varying Distributed Parameter Systems. IEEE Trans. Cybern. 54(1): 624-634 (2024) - [j12]Zixuan Huang
Energy-Saving Control Strategy for Multisleep States of CNC Machine Tool Considering Components Priority. IEEE Trans. Ind. Electron. 71(2): 1885-1895 (2024) - [c5]Hongcheng Li
Diversified Semantic Distribution Matching for Dataset Distillation. ACM Multimedia 2024: 7542-7550 - 2023
- [j11]Weiwei Ge
Mathematical modelling of carbon emissions and process parameters optimisation for laser welding cell. Int. J. Prod. Res. 61(15): 5009-5028 (2023) - [j10]Yaru Liu
OPUPO: Defending Against Membership Inference Attacks With Order-Preserving and Utility-Preserving Obfuscation. IEEE Trans. Dependable Secur. Comput. 20(6): 4690-4701 (2023) - [c4]Zhang Yuze, Geming Xia, Hongcheng Li, Hongfeng Li, Song Hui:
Task Unloading Algorithm for Mobile Edge Computing based on graph neural network. IEEE Big Data 2023: 5398-5407 - 2021
- [j9]Bin Liang
Detecting Adversarial Image Examples in Deep Neural Networks with Adaptive Noise Reduction. IEEE Trans. Dependable Secur. Comput. 18(1): 72-85 (2021) - [c3]Hongcheng Li:
The Cultivation of Technical and Skilled Talents of Art and Design Specialty in Guangdong-Hong Kong-Macao Greater Bay Area's Higher Vocational Colleges. CIPAE 2021: 841-844 - [c2]Hongcheng Li, Jin Xiong, Yuan Gao, Cheng Wang:
Network Anomaly Detection Method Based on Joint Optimization of GAN and Classifier in Few-shot Scenarios. EITCE 2021: 659-663 - 2020
- [j8]Hongcheng Li, Jianjun Huang
Identifying parasitic malware as outliers by code clustering. J. Comput. Secur. 28(2): 157-189 (2020)
2010 – 2019
- 2019
- [j7]Jiedong Li, Hui Tang
A Stable Autoregressive Moving Average Hysteresis Model in Flexure Fast Tool Servo Control. IEEE Trans Autom. Sci. Eng. 16(3): 1484-1493 (2019) - 2018
- [j6]Haidong Yang
A process parameters selection approach for trade-off between energy consumption and polishing quality. Int. J. Comput. Integr. Manuf. 31(4-5): 380-395 (2018) - [j5]Hongcheng Li, Haidong Yang
State space modelling carbon emission dynamics of machining workshop based on carbon efficiency. Int. J. Comput. Integr. Manuf. 31(4-5): 426-441 (2018) - [j4]Hongcheng Li, Haidong Yang, Bixia Yang, Chengjiu Zhu, Sihua Yin:
Modelling and simulation of energy consumption of ceramic production chains with mixed flows using hybrid Petri nets. Int. J. Prod. Res. 56(8): 3007-3024 (2018) - [c1]Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li
Deep Text Classification Can be Fooled. IJCAI 2018: 4208-4215 - 2017
- [i2]Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, Wenchang Shi:
Deep Text Classification Can be Fooled. CoRR abs/1704.08006 (2017) - [i1]Bin Liang, Hongcheng Li, Miaoqiang Su, Xirong Li, Wenchang Shi, Xiaofeng Wang:
Detecting Adversarial Examples in Deep Networks with Adaptive Noise Reduction. CoRR abs/1705.08378 (2017) - 2014
- [j3]Ruixue Yin, Huajun Cao, Hongcheng Li, John W. Sutherland
A process planning method for reduced carbon emissions. Int. J. Comput. Integr. Manuf. 27(12): 1175-1186 (2014) - 2012
- [j2]Hongcheng Li, Huajun Cao, Xiaoyong Pan:
A carbon emission analysis model for electronics manufacturing process based on value-stream mapping and sensitivity analysis. Int. J. Comput. Integr. Manuf. 25(12): 1102-1110 (2012)
1990 – 1999
- 1999
- [j1]Xiaohua Jiang, Zhongxian Zhao, Hongcheng Li, Lei Zhou, Jiusheng Yao:
Measurement of the transition temperature distribution and magnetic field profile of large superconducting films. IEEE Trans. Instrum. Meas. 48(4): 820-824 (1999)
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