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Yefei He
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2020 – today
- 2024
- [j6]Weijia Wu, Yiming Zhang, Yefei He, Luoming Zhang, Zhenyu Lou, Hong Zhou, Xiang Bai:
DSText V2: A comprehensive video text spotting dataset for dense and small text. Pattern Recognit. 149: 110177 (2024) - [j5]Yefei He, Luoming Zhang, Weijia Wu, Hong Zhou:
Binarizing by Classification: Is Soft Function Really Necessary? IEEE Trans. Circuits Syst. Video Technol. 34(2): 973-982 (2024) - [c6]Weijia Wu, Zhuang Li, Yuchao Gu, Rui Zhao, Yefei He, David Junhao Zhang, Mike Zheng Shou, Yan Li, Tingting Gao, Di Zhang:
DragAnything: Motion Control for Anything Using Entity Representation. ECCV (22) 2024: 331-348 - [c5]Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. ICLR 2024 - [i14]Luoming Zhang, Yefei He, Wen Fei, Zhenyu Lou, Weijia Wu, Yangwei Ying, Hong Zhou:
Towards Accurate Post-training Quantization for Reparameterized Models. CoRR abs/2402.16121 (2024) - [i13]Weijia Wu, Zhuang Li, Yuchao Gu, Rui Zhao, Yefei He, David Junhao Zhang, Mike Zheng Shou, Yan Li, Tingting Gao, Di Zhang:
DragAnything: Motion Control for Anything using Entity Representation. CoRR abs/2403.07420 (2024) - [i12]Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang:
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification. CoRR abs/2405.14256 (2024) - [i11]Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Gholamreza Haffari, Bohan Zhuang:
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models. CoRR abs/2405.14366 (2024) - [i10]Jing Liu, Ruihao Gong, Mingyang Zhang, Yefei He, Jianfei Cai, Bohan Zhuang:
ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models. CoRR abs/2406.09041 (2024) - 2023
- [j4]Luoming Zhang, Yefei He, Zhenyu Lou, Xin Ye, Yuxing Wang, Hong Zhou:
Root quantization: a self-adaptive supplement STE. Appl. Intell. 53(6): 6266-6275 (2023) - [j3]Zhenyu Lou, Xin Ye, Luoming Zhang, Weijia Wu, Yefei He, Hong Zhou:
Rethinking the Value of Local Feature Fusion in Convolutional Neural Networks. Neural Process. Lett. 55(7): 9085-9100 (2023) - [j2]Yefei He, Luoming Zhang, Weijia Wu, Hong Zhou:
Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch Normalization. Neural Process. Lett. 55(8): 10555-10568 (2023) - [c4]Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
BiViT: Extremely Compressed Binary Vision Transformers. ICCV 2023: 5628-5640 - [c3]Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
PTQD: Accurate Post-Training Quantization for Diffusion Models. NeurIPS 2023 - [c2]Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen:
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models. NeurIPS 2023 - [i9]Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
PTQD: Accurate Post-Training Quantization for Diffusion Models. CoRR abs/2305.10657 (2023) - [i8]Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen:
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models. CoRR abs/2308.06160 (2023) - [i7]Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. CoRR abs/2310.03270 (2023) - [i6]Luoming Zhang, Wen Fei, Weijia Wu, Yefei He, Zhenyu Lou, Hong Zhou:
Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM. CoRR abs/2310.04836 (2023) - [i5]Weijia Wu, Zhuang Li, Yefei He, Mike Zheng Shou, Chunhua Shen, Lele Cheng, Yan Li, Tingting Gao, Di Zhang, Zhongyuan Wang:
Paragraph-to-Image Generation with Information-Enriched Diffusion Model. CoRR abs/2311.14284 (2023) - [i4]Weijia Wu, Yiming Zhang, Yefei He, Luoming Zhang, Zhenyu Lou, Hong Zhou, Xiang Bai:
DSText V2: A Comprehensive Video Text Spotting Dataset for Dense and Small Text. CoRR abs/2312.01938 (2023) - 2022
- [i3]Yefei He, Luoming Zhang, Weijia Wu, Hong Zhou:
Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch Normalization. CoRR abs/2204.04215 (2022) - [i2]Yefei He, Luoming Zhang, Weijia Wu, Hong Zhou:
Binarizing by Classification: Is soft function really necessary? CoRR abs/2205.07433 (2022) - [i1]Yefei He, Zhenyu Lou, Luoming Zhang, Weijia Wu, Bohan Zhuang, Hong Zhou:
BiViT: Extremely Compressed Binary Vision Transformer. CoRR abs/2211.07091 (2022)
2010 – 2019
- 2017
- [j1]David C. Schwebel, Joan Severson, Yefei He:
Using smartphone technology to deliver a virtual pedestrian environment: usability and validation. Virtual Real. 21(3): 145-152 (2017)
2000 – 2009
- 2002
- [c1]Yefei He, James F. Cremer, Yiannis E. Papelis:
Real-Time Extendible-Resolution Display of On-line Dynamic Terrain. Graphics Interface 2002: 151-160
Coauthor Index
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