Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
Lin, Shaohui, Ji, Rongrong, Yan, Chenqian, Zhang, Baochang, Cao, Liujuan, Ye, Qixiang, Huang, Feiyue, Doermann, David
Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01.06.2019)
Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01.06.2019)
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Conference Proceeding
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Yan, Chenqian, Zhang, Yuge, Zhang, Quanlu, Yang, Yaming, Jiang, Xinyang, Yang, Yuqing, Wang, Baoyuan
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01.06.2022)
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01.06.2022)
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Conference Proceeding
Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models
Yan, Chenqian, Liu, Songwei, Liu, Hongjian, Peng, Xurui, Wang, Xiaojian, Chen, Fangmin, Fu, Lean, Mei, Xing
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Year of Publication 13.08.2024
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Journal Article
FoldGPT: Simple and Effective Large Language Model Compression Scheme
Liu, Songwei, Zeng, Chao, Li, Lianqiang, Yan, Chenqian, Fu, Lean, Mei, Xing, Chen, Fangmin
Year of Publication 30.06.2024
Year of Publication 30.06.2024
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SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity
Xu, Haitao, Liu, Songwei, Xu, Yuyang, Wang, Shuai, Li, Jiashi, Yan, Chenqian, Li, Liangqiang, Fu, Lean, Pan, Xin, Chen, Fangmin
Year of Publication 30.10.2023
Year of Publication 30.10.2023
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Journal Article
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Yan, Chenqian, Zhang, Yuge, Zhang, Quanlu, Yang, Yaming, Jiang, Xinyang, Yang, Yuqing, Wang, Baoyuan
Year of Publication 16.03.2022
Year of Publication 16.03.2022
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Journal Article
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain
Zhang, Yuge, Zhang, Quanlu, Zhang, Li Lyna, Yang, Yaming, Yan, Chenqian, Gao, Xiaotian, Yang, Yuqing
Year of Publication 06.08.2021
Year of Publication 06.08.2021
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Journal Article
PAMS: Quantized Super-Resolution via Parameterized Max Scale
Li, Huixia, Yan, Chenqian, Lin, Shaohui, Zheng, Xiawu, Li, Yuchao, Zhang, Baochang, Yang, Fan, Ji, Rongrong
Year of Publication 09.11.2020
Year of Publication 09.11.2020
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Journal Article
Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models
Chenqian Yan, Liu, Songwei, Liu, Hongjian, Peng, Xurui, Wang, Xiaojian, Chen, Fangmin, Fu, Lean, Xing Mei
Published in arXiv.org (30.10.2024)
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Published in arXiv.org (30.10.2024)
Paper
FoldGPT: Simple and Effective Large Language Model Compression Scheme
Liu, Songwei, Zeng, Chao, Li, Lianqiang, Chenqian Yan, Fu, Lean, Xing Mei, Chen, Fangmin
Published in arXiv.org (01.07.2024)
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Published in arXiv.org (01.07.2024)
Paper
Interpretable Neural Network Decoupling
Li, Yuchao, Ji, Rongrong, Lin, Shaohui, Zhang, Baochang, Yan, Chenqian, Wu, Yongjian, Huang, Feiyue, Shao, Ling
Year of Publication 03.06.2019
Year of Publication 03.06.2019
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Journal Article
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
Lin, Shaohui, Ji, Rongrong, Yan, Chenqian, Zhang, Baochang, Cao, Liujuan, Ye, Qixiang, Huang, Feiyue, Doermann, David
Year of Publication 21.03.2019
Year of Publication 21.03.2019
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Journal Article
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Chenqian Yan, Zhang, Yuge, Zhang, Quanlu, Yang, Yaming, Jiang, Xinyang, Yang, Yuqing, Wang, Baoyuan
Published in arXiv.org (16.03.2022)
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Published in arXiv.org (16.03.2022)
Paper
PAMS: Quantized Super-Resolution via Parameterized Max Scale
Li, Huixia, Chenqian Yan, Lin, Shaohui, Zheng, Xiawu, Li, Yuchao, Zhang, Baochang, Yang, Fan, Ji, Rongrong
Published in arXiv.org (09.11.2020)
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Published in arXiv.org (09.11.2020)
Paper
Interpretable Neural Network Decoupling
Li, Yuchao, Ji, Rongrong, Lin, Shaohui, Zhang, Baochang, Chenqian Yan, Wu, Yongjian, Huang, Feiyue, Shao, Ling
Published in arXiv.org (25.08.2020)
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Published in arXiv.org (25.08.2020)
Paper