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Tongtong Su

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2020 – today

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2024
[j6]
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Tongtong Su, Daming Liu:
Transmission line defect detection based on feature enhancement. Multim. Tools Appl. 83(12): 36419-36431 (2024)
2023
[j5]
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Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Ziyue Xu, Gang Wang, Xiaoguang Liu:
Deep Cross-Layer Collaborative Learning Network for Online Knowledge Distillation. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2075-2087 (2023)
[j4]
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Yan Wang, Tongtong Su, Yusen Li, Jiuwen Cao, Gang Wang, Xiaoguang Liu:
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-Resolution. IEEE Trans. Multim. 25: 7222-7234 (2023)
[j3]
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Tongtong Su, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu:
STKD: Distilling Knowledge From Synchronous Teaching for Efficient Model Compression. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10051-10064 (2023)
[c5]
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Tongtong Su, Jinsong Zhang, Gang Wang, Xiaoguang Liu:
Self-Supervised Learning with Explorative Knowledge Distillation. ICASSP 2023: 1-5
2022
[c4]
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Zhaoyang Yu, Sinong Zhao, Tongtong Su, Wenwen Liu, Xiaoguang Liu, Gang Wang, Zehua Wang, Victor C. M. Leung:
DeepSCJD: An Online Deep Learning-Based Model for Secure Collaborative Job Dispatching in Edge Computing. ICSOC 2022: 481-497
2021
[j2]
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Xiao Tan, Tianyi Ma, Tongtong Su:
Fast and Privacy-Preserving Federated Joint Estimator of Multi-sUGMs. IEEE Access 9: 104079-104092 (2021)
[c3]
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Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu:
Attention-based Feature Interaction for Efficient Online Knowledge Distillation. ICDM 2021: 579-588
2020
[j1]
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Tongtong Su, Huazhi Sun, Jinqi Zhu, Sheng Wang, Yabo Li:
BAT: Deep Learning Methods on Network Intrusion Detection Using NSL-KDD Dataset. IEEE Access 8: 29575-29585 (2020)

2010 – 2019

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2019
[c2]
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Tongtong Su, Huazhi Sun, Sheng Wang:
Intrusion Detection Using Convolutional Recurrent Neural Network. ICCPR 2019: 413-419
[c1]
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Tongtong Su, Huazhi Sun, Chunmei Ma, Lifen Jiang, Tongtong Xu:
HDL: Hierarchical Deep Learning Model based Human Activity Recognition using Smartphone Sensors. IJCNN 2019: 1-8

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