Chenqian Yan

According to our database, Chenqian Yan authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Motion-Aware Caching for Efficient Autoregressive Video Generation.

Jing Xu, Yuexiao Ma, Xuzhe Zheng, Xing Wang, Shiwei Liu, Chenqian Yan, Xiawu Zheng, Rongrong Ji, Fei Chao, Songwei Liu

CoRR, May, 2026

DreamLite: A Lightweight On-Device Unified Model for Image Generation and Editing.

Kailai Feng, Yuxiang Wei, Bo Chen, Yang Pan, Hu Ye, Songwei Liu, Chenqian Yan, Yuan Gao

CoRR, March, 2026

S2O: Early Stopping for Sparse Attention via Online Permutation.

Yu Zhang, Songwei Liu, Chenqian Yan, Sheng Lin, Beichen Ning, Fangmin Chen, Xing Wang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

ERTACache: Error Rectification and Timesteps Adjustment for Efficient Diffusion.

Xurui Peng, Hong Liu, Chenqian Yan, Rui Ma, Fangmin Chen, Xing Wang, Zhihua Wu, Songwei Liu, Mingbao Lin

CoRR, August, 2025

Error Propagation Mechanisms and Compensation Strategies for Quantized Diffusion.

Songwei Liu, Hong Liu, Fangmin Chen, Xurui Peng, Chenqian Yan, Lean Fu, Xing Mei

CoRR, August, 2025

2024

Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models.

Chenqian Yan, Songwei Liu, Hongjian Liu, Xurui Peng, Xiaojian Wang, Fangming Chen, Lean Fu, Xing Mei

CoRR, 2024

FoldGPT: Simple and Effective Large Language Model Compression Scheme.

Songwei Liu, Chao Zeng, Lianqiang Li, Chenqian Yan, Lean Fu, Xing Mei, Fangmin Chen

CoRR, 2024

Differentiable Search for Finding Optimal Quantization Strategy.

Lianqiang Li, Chenqian Yan, Yefei Chen

CoRR, 2024

2023

SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity.

Haitao Xu, Songwei Liu, Yuyang Xu, Shuai Wang, Jiashi Li, Chenqian Yan, Liangqiang Li, Lean Fu, Xin Pan, Fangmin Chen

CoRR, 2023

2022

Privacy-preserving Online AutoML for Domain-Specific Face Detection.

Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing.

Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang

CoRR, 2021

2020

PAMS: Quantized Super-Resolution via Parameterized Max Scale.

Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji

CoRR, 2020

PAMS: Quantized Super-Resolution via Parameterized Max Scale.

Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2020, 2020

Interpretable Neural Network Decoupling.

Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Dynamic Neural Network Decoupling.

Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao

CoRR, 2019

Towards Optimal Structured CNN Pruning via Generative Adversarial Learning.

Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019