Yefei He - researchr alias

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Viewing Publication 1 - 18 from 18

2025

Paragraph-to-Image Generation with Information-Enriched Diffusion ModelWeijia Wu 0001, Zhuang Li 0002, Yefei He, Mike Zheng Shou, Chunhua Shen, Lele Cheng, Yan Li, Tingting Gao, Di Zhang. ijcv, 133(8):5413-5434, August 2025. [doi]

ZipAR: Parallel Autoregressive Image Generation through Spatial LocalityYefei He, Feng Chen, Yuanyu He, Shaoxuan He, Hong Zhou, Kaipeng Zhang, Bohan Zhuang. icml 2025: [doi]

Towards accurate post-training quantization for reparameterized modelsLuoming Zhang, Yefei He, Wen Fei, Zhenyu Lou, Weijia Wu 0001, Yangwei Ying, Hong Zhou. apin, 55(7):606, May 2025. [doi]

2024

Binarizing by Classification: Is Soft Function Really Necessary?Yefei He, Luoming Zhang, Weijia Wu, Hong Zhou. tcsv, 34(2):973-982, February 2024. [doi]

ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token IdentificationYefei He, Luoming Zhang, Weijia Wu 0001, Jing Liu 0048, Hong Zhou, Bohan Zhuang. nips 2024: [doi]

EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion ModelsYefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang. iclr 2024: [doi]

MiniCache: KV Cache Compression in Depth Dimension for Large Language ModelsAkide Liu, Jing Liu, Zizheng Pan, Yefei He, Reza Haffari, Bohan Zhuang. nips 2024: [doi]

DSText V2: A comprehensive video text spotting dataset for dense and small textWeijia Wu, Yiming Zhang, Yefei He, Luoming Zhang, Zhenyu Lou, Hong Zhou, Xiang Bai. PR, 149:110177, 2024. [doi]

DragAnything: Motion Control for Anything Using Entity RepresentationWeijia Wu, Zhuang Li, Yuchao Gu, Rui Zhao 0001, Yefei He, David Junhao Zhang, Mike Zheng Shou, Yan Li, Tingting Gao, Di Zhang. eccv 2025: 331-348 [doi]

2023

Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch NormalizationYefei He, Luoming Zhang, Weijia Wu, Hong Zhou. npl, 55(8):10555-10568, December 2023. [doi]

BiViT: Extremely Compressed Binary Vision TransformersYefei He, Zhenyu Lou, Luoming Zhang, Jing Liu 0048, Weijia Wu, Hong Zhou, Bohan Zhuang. iccv 2023: 5628-5640 [doi]

PTQD: Accurate Post-Training Quantization for Diffusion ModelsYefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang. nips 2023: [doi]

Rethinking the Value of Local Feature Fusion in Convolutional Neural NetworksZhenyu Lou, Xin Ye, Luoming Zhang, Weijia Wu, Yefei He, Hong Zhou. npl, 55(7):9085-9100, December 2023. [doi]

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion ModelsWeijia Wu, YuZhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen. nips 2023: [doi]

Root quantization: a self-adaptive supplement STELuoming Zhang, Yefei He, Zhenyu Lou, Xin Ye, Yuxing Wang, Hong Zhou. apin, 53(6):6266-6275, March 2023. [doi]

2017

Using smartphone technology to deliver a virtual pedestrian environment: usability and validationDavid C. Schwebel, Joan Severson, Yefei He. vr, 21(3):145-152, 2017. [doi]

2002

Real-Time Extendible-Resolution Display of On-line Dynamic TerrainYefei He, James F. Cremer, Yiannis E. Papelis. graphicsinterface 2002: 151-160 [doi]

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