Chenqian Yan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Max Margin Learning

Boosted Classifiers

Top Venues

Publications

Lianqiang Li, Chenqian Yan, Yefei Chen
Differentiable Search for Finding Optimal Quantization Strategy. CoRR (2024)
Songwei Liu, Chao Zeng, Lianqiang Li, Chenqian Yan, Lean Fu, Xing Mei, Fangmin Chen
FoldGPT: Simple and Effective Large Language Model Compression Scheme. CoRR (2024)
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 (2023)
Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
Privacy-preserving Online AutoML for Domain-Specific Face Detection. CoRR (2022)
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)
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 (2021)
Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao
Interpretable Neural Network Decoupling. ECCV (15) (2020)
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 (2020)
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)
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)
Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao
Dynamic Neural Network Decoupling. CoRR (2019)
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 (2019)