Han Wang

19 papers Journal 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adaptive High-Precision Measurement for Optical Encoders at Various Speeds Based on Deep Reinforcement Learning.
IEEE Trans. Instrum. Meas.
Zhouyixiao Wu, Jianghua Nie, Weicheng Ou, Pengyu Sun, Han Wang, Nian Cai
2024 J jnl
GAN-based statistical modeling with adaptive schemes for surface defect inspection of IC metal packages.
J. Intell. Manuf.
Zhenshuang Wu, Nian Cai, Kaiqiong Chen, Hao Xia, Shuai Zhou, Han Wang
2024 J jnl
Measurement Error Analysis and Compensation for Optical Encoders: A Review.
IEEE Trans. Instrum. Meas.
Jiabin Zhao, Weicheng Ou, Nian Cai, Zhouyixiao Wu, Han Wang
2024 J jnl
Visual inspection via a global-to-local optimization method for agarwood sticks.
Signal Image Video Process.
An Yuan, Nian Cai, Zhouyixiao Wu, Zhiliang Wu, Shaoqiu Xu, Weicheng Ou, Han Wang
2023 J jnl
Adaptive Hybrid Framework for Multiscale Void Inspection of Chip Resistor Solder Joints.
IEEE Trans. Instrum. Meas.
Pan Xiao, Meng Xiao, Nian Cai, Baojun Qiu, Shuai Zhou, Han Wang
2023 J jnl
CA-CentripetalNet: A novel anchor-free deep learning framework for hardhat wearing detection.
CoRR
Zhijian Liu, Nian Cai, Wensheng Ouyang, Chengbin Zhang, Nili Tian, Han Wang
2023 J jnl
CA-CentripetalNet: a novel anchor-free deep learning framework for hardhat wearing detection.
Signal Image Video Process.
Zhijian Liu, Nian Cai, Wensheng Ouyang, Chengbin Zhang, Nili Tian, Han Wang
2023 J jnl
Error Compensation for Optical Encoder Based on Variational Mode Decomposition With a Coarse-to-Fine Selection Scheme.
IEEE Trans. Instrum. Meas.
Zhou Ning, Nian Cai, Jiabin Zhao, Wenjian Li, Han Wang
2023 J jnl
Multi-scale GAN with transformer for surface defect inspection of IC metal packages.
Expert Syst. Appl.
Kaiqiong Chen, Nian Cai, Zhenshuang Wu, Hao Xia, Shuai Zhou, Han Wang
2022 J jnl
Automatic detection of ultrasound breast lesions: a novel saliency detection model based on multiple priors.
Signal Image Video Process.
Hongwen Fang, Nian Cai, Jingwen Zhou, Youfang Bai, Jian Li, Han Wang
2022 J jnl
Error Compensation for Optical Encoder via Local-Sinusoidal-Assisted Empirical Mode Decomposition With an Optimization Scheme.
IEEE Trans. Ind. Electron.
Wenjian Li, Nian Cai, Zhou Ning, Yongchao Dong, Han Wang
2021 J jnl
IC solder joint inspection via generator-adversarial-network based template.
Mach. Vis. Appl.
Jiaming Li, Nian Cai, Zhuokun Mo, Guang Zhou, Han Wang
2020 J jnl
Detonator coded character spotting based on convolutional neural networks.
Signal Image Video Process.
Guandong Cen, Nian Cai, Jixiu Wu, Feiyang Li, Han Wang, Guotian Wang
2018 J jnl
Image denoising method based on a deep convolution neural network.
IET Image Process.
Fu Zhang, Nian Cai, Jixiu Wu, Guandong Cen, Han Wang, Xindu Chen
2018 J jnl
Image super-resolution via a novel cascaded convolutional neural network framework.
Signal Process. Image Commun.
Fu Zhang, Nian Cai, Guandong Cen, Feiyang Li, Han Wang, Xindu Chen
2018 J jnl
Mixed L
Signal Image Video Process.
Nian Cai, Qian Ye, Jing Wang, Guandong Cen, Junchi Liu, Han Wang, Bingo Wing-Kuen Ling
2017 J jnl
Blind inpainting using the fully convolutional neural network.
Vis. Comput.
Nian Cai, Zhenghang Su, Zhineng Lin, Han Wang, Zhijing Yang, Bingo Wing-Kuen Ling
2016 J jnl
Detecting facial landmarks in the video based on a hybrid framework.
CoRR
Nian Cai, Zhineng Lin, Fu Zhang, Guandong Cen, Han Wang
2014 J jnl
Object Tracking Using Mean Shift for Adaptive Weighted-Sum Histograms.
Circuits Syst. Signal Process.
Nian Cai, Nannan Zhu, Wen-ting Guo, Bingo Wing-Kuen Ling, Han Wang, Qingyun Dai
requirements.txt
← Index requirements.txt plaintext 
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py-tlsh==4.7.2
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setuptools==75.1.0
ppdeep==20200505
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flare-floss==3.1.1
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signify==0.7.1
yara-x==1.9.0
xxhash==3.6.0
git+https://github.com/wbond/oscrypto.git@1547f535001ba568b239b8797465536759c742a3
pycryptodomex==3.20.0
redis==6.4.0
clickhouse-connect==0.8.13
minio==7.2.15
requests==2.33.1
pyelftools==0.32
python-dotenv
psutil
numpy
mmh3
blake3
machofile==2026.02.10
lief==0.17.3
androguard>=4.1
permhash
jsbeautifier>=1.14.0
chardet==7.4.1
pyjsparser>=2.7.1

# Development and linting tools
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