Qiushi Li

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Shunquan Tan

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Publications

2025
[j15]
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Qiushi Li, Shunquan Tan, Bin Li, Jiwu Huang:
Elastic Supernet with Dynamic Training for JPEG steganalysis. Signal Process. 236: 110038 (2025)
2024
[c15]
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  - conf/icassp/YangLLT024
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Zhuofan Yang, Qiushi Li, Shenghai Luo, Shunquan Tan, Bin Li:
Improving VGG-Style Convnet for JPEG Steganalysis. ICASSP 2024: 4450-4454
2023
[j11]
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  - journals/tdsc/TanLLLH23
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Shunquan Tan, Qiushi Li, Laiyuan Li, Bin Li, Jiwu Huang:
STD-NET: Search of Image Steganalytic Deep-Learning Architecture via Hierarchical Tensor Decomposition. IEEE Trans. Dependable Secur. Comput. 20(3): 2657-2673 (2023)
2022
[j7]
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Qiushi Li, Shengda Chen, Shunquan Tan, Bin Li, Jiwu Huang:
One-Class Double Compression Detection of Advanced Videos Based on Simple Gaussian Distribution Model. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2496-2500 (2022)
[i2]
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  - journals/corr/abs-2206-05651
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Shunquan Tan, Qiushi Li, Laiyuan Li, Bin Li, Jiwu Huang:
STD-NET: Search of Image Steganalytic Deep-learning Architecture via Hierarchical Tensor Decomposition. CoRR abs/2206.05651 (2022)
2021
[j4]
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Shunquan Tan, Weilong Wu, Zilong Shao, Qiushi Li, Bin Li, Jiwu Huang:
CALPA-NET: Channel-Pruning-Assisted Deep Residual Network for Steganalysis of Digital Images. IEEE Trans. Inf. Forensics Secur. 16: 131-146 (2021)
2019
[c8]
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  - conf/apsipa/LiSTZL19
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Qiushi Li, Zilong Shao, Shunquan Tan, Jishen Zeng, Bin Li:
Non-structured Pruning for Deep-learning based Steganalytic Frameworks. APSIPA 2019: 1735-1739
[i1]
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  - electronic edition @ arxiv.org (open access)
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  - journals/corr/abs-1911-04657
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Shunquan Tan, Weilong Wu, Zilong Shao, Qiushi Li, Bin Li, Jiwu Huang:
CALPA-NET: Channel-pruning-assisted Deep Residual Network for Steganalysis of Digital Images. CoRR abs/1911.04657 (2019)

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