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2020 – today
- 2024
[i9]Lianqiang Li, Chenqian Yan, Yefei Chen:
Differentiable Search for Finding Optimal Quantization Strategy. CoRR abs/2404.08010 (2024)- [i8]Songwei Liu, Chao Zeng, Lianqiang Li, Chenqian Yan, Lean Fu, Xing Mei, Fangmin Chen:
FoldGPT: Simple and Effective Large Language Model Compression Scheme. CoRR abs/2407.00928 (2024) - [i7]Chenqian Yan, Songwei Liu, Hongjian Liu, Xurui Peng, Xiaojian Wang, Fangming Chen, Lean Fu, Xing Mei:
Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models. CoRR abs/2408.06646 (2024) - 2023
- [i6]Haitao Xu, Songwei Liu, Yuyang Xu, Shuai Wang, Jiashi Li, Chenqian Yan, Liangqiang Li, Lean Fu, Xin Pan, Fangmin Chen:
SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity. CoRR abs/2310.19509 (2023) - 2022
- [c4]Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang:
Privacy-preserving Online AutoML for Domain-Specific Face Detection. CVPR 2022: 4124-4134 - [i5]Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang:
Privacy-preserving Online AutoML for Domain-Specific Face Detection. CoRR abs/2203.08399 (2022) - 2021
- [i4]Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang:
AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing. CoRR abs/2108.03001 (2021) - 2020
- [c3]Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji:
PAMS: Quantized Super-Resolution via Parameterized Max Scale. ECCV (25) 2020: 564-580 - [c2]Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao:
Interpretable Neural Network Decoupling. ECCV (15) 2020: 653-669 - [i3]Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji:
PAMS: Quantized Super-Resolution via Parameterized Max Scale. CoRR abs/2011.04212 (2020)
2010 – 2019
- 2019
- [c1]Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann:
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. CVPR 2019: 2790-2799 - [i2]Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann:
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. CoRR abs/1903.09291 (2019) - [i1]Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao:
Dynamic Neural Network Decoupling. CoRR abs/1906.01166 (2019)
Coauthor Index
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