Chenqian Yan - RankMe

17 papers A* 2Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DreamLite: A Lightweight On-Device Unified Model for Image Generation and Editing. CoRR Kailai Feng, Yuxiang Wei, Bo Chen, Yang Pan, Hu Ye, Songwei Liu, Chenqian Yan, Yuan Gao
2026	J	`jnl`	S2O: Early Stopping for Sparse Attention via Online Permutation. CoRR Yu Zhang, Songwei Liu, Chenqian Yan, Sheng Lin, Beichen Ning, Fangmin Chen, Xing Wang
2025	J	`jnl`	ERTACache: Error Rectification and Timesteps Adjustment for Efficient Diffusion. CoRR Xurui Peng, Hong Liu, Chenqian Yan, Rui Ma, Fangmin Chen, Xing Wang, Zhihua Wu, Songwei Liu, Mingbao Lin
2025	J	`jnl`	Error Propagation Mechanisms and Compensation Strategies for Quantized Diffusion. CoRR Songwei Liu, Hong Liu, Fangmin Chen, Xurui Peng, Chenqian Yan, Lean Fu, Xing Mei
2024	J	`jnl`	Differentiable Search for Finding Optimal Quantization Strategy. CoRR Lianqiang Li, Chenqian Yan, Yefei Chen
2024	J	`jnl`	FoldGPT: Simple and Effective Large Language Model Compression Scheme. CoRR Songwei Liu, Chao Zeng, Lianqiang Li, Chenqian Yan, Lean Fu, Xing Mei, Fangmin Chen
2024	J	`jnl`	Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models. CoRR Chenqian Yan, Songwei Liu, Hongjian Liu, Xurui Peng, Xiaojian Wang, Fangming Chen, Lean Fu, Xing Mei
2023	J	`jnl`	SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity. CoRR Haitao Xu, Songwei Liu, Yuyang Xu, Shuai Wang, Jiashi Li, Chenqian Yan, Liangqiang Li, Lean Fu, Xin Pan, Fangmin Chen
2022	A*	`conf`	Privacy-preserving Online AutoML for Domain-Specific Face Detection. CVPR Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
2022	J	`jnl`	Privacy-preserving Online AutoML for Domain-Specific Face Detection. CoRR Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
2021	J	`jnl`	AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing. CoRR Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
2020	—	`conf`	Interpretable Neural Network Decoupling. ECCV (15) Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao
2020	—	`conf`	PAMS: Quantized Super-Resolution via Parameterized Max Scale. ECCV (25) Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji
2020	J	`jnl`	PAMS: Quantized Super-Resolution via Parameterized Max Scale. CoRR Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji
2019	J	`jnl`	Dynamic Neural Network Decoupling. CoRR Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao
2019	A*	`conf`	Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. CVPR Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann
2019	J	`jnl`	Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. CoRR Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann