Real-Time Extendible-Resolution Display of On-line Dynamic Terrain. - Yefei He; James F. Cremer; Yiannis E. Papelis (Graphics Interface, 2002)

Using smartphone technology to deliver a virtual pedestrian environment: usability and validation. - David C. Schwebel; Joan Severson; Yefei He (Virtual Real., 2017)

BiViT: Extremely Compressed Binary Vision Transformer. - Yefei He; Zhenyu Lou; Luoming Zhang; Weijia Wu 001; Bohan Zhuang; Hong Zhou (CoRR, 2022)

BiViT: Extremely Compressed Binary Vision Transformers. - Yefei He; Zhenyu Lou; Luoming Zhang; Jing Liu 048; Weijia Wu 001; Hong Zhou; Bohan Zhuang (ICCV, 2023)

PTQD: Accurate Post-Training Quantization for Diffusion Models. - Yefei He; Luping Liu; Jing Liu 048; Weijia Wu 001; Hong Zhou; Bohan Zhuang (NeurIPS, 2023)

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models. - Weijia Wu 001; Yuzhong Zhao; Hao Chen 041; Yuchao Gu; Rui Zhao 001; Yefei He; Hong Zhou; Mike Zheng Shou; Chunhua Shen (NeurIPS, 2023)

Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM. - Luoming Zhang; Wen Fei; Weijia Wu 001; Yefei He; Zhenyu Lou; Hong Zhou (CoRR, 2023)

Paragraph-to-Image Generation with Information-Enriched Diffusion Model. - Weijia Wu 001; Zhuang Li 002; Yefei He; Mike Zheng Shou; Chunhua Shen; Lele Cheng; Yan Li; Tingting Gao; Di Zhang; Zhongyuan Wang (CoRR, 2023)

Root quantization: a self-adaptive supplement STE. - Luoming Zhang; Yefei He; Zhenyu Lou; Xin Ye; Yuxing Wang; Hong Zhou (Appl. Intell., 2023)

Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch Normalization. - Yefei He; Luoming Zhang; Weijia Wu 001; Hong Zhou (Neural Process. Lett., 2023)

Rethinking the Value of Local Feature Fusion in Convolutional Neural Networks. - Zhenyu Lou; Xin Ye; Luoming Zhang; Weijia Wu 001; Yefei He; Hong Zhou (Neural Process. Lett., 2023)

DragAnything: Motion Control for Anything Using Entity Representation. - Weijia Wu 001; Zhuang Li 002; Yuchao Gu; Rui Zhao 001; Yefei He; David Junhao Zhang; Mike Zheng Shou; Yan Li; Tingting Gao; Di Zhang (ECCV (22), 2024)

EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. - Yefei He; Jing Liu 048; Weijia Wu 001; Hong Zhou; Bohan Zhuang (ICLR, 2024)

ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification. - Yefei He; Luoming Zhang; Weijia Wu 001; Jing Liu 048; Hong Zhou; Bohan Zhuang (NeurIPS, 2024)

MiniCache: KV Cache Compression in Depth Dimension for Large Language Models. - Akide Liu; Jing Liu 048; Zizheng Pan; Yefei He; Reza Haffari; Bohan Zhuang (NeurIPS, 2024)

ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models. - Jing Liu; Ruihao Gong; Mingyang Zhang 007; Yefei He; Jianfei Cai 001; Bohan Zhuang (CoRR, 2024)

ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsification and KV Cache Compression. - Yefei He; Feng Chen; Jing Liu; Wenqi Shao; Hong Zhou; Kaipeng Zhang; Bohan Zhuang (CoRR, 2024)

GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation. - Pengfei Zhou; Xiaopeng Peng 001; Jiajun Song; Chuanhao Li 001; Zhaopan Xu; Yue Yang; Ziyao Guo; Hao Zhang 117; Yuqi Lin; Yefei He; Lirui Zhao; Shuo Liu; et al. (CoRR, 2024)

ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality. - Yefei He; Feng Chen; Yuanyu He; Shaoxuan He; Hong Zhou; Kaipeng Zhang; Bohan Zhuang (CoRR, 2024)

DSText V2: A comprehensive video text spotting dataset for dense and small text. - Weijia Wu 001; Yiming Zhang; Yefei He; Luoming Zhang; Zhenyu Lou; Hong Zhou; Xiang Bai (Pattern Recognit., 2024)

Binarizing by Classification: Is Soft Function Really Necessary? - Yefei He; Luoming Zhang; Weijia Wu 001; Hong Zhou (IEEE Trans. Circuits Syst. Video Technol., 2024)

OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation. - Pengfei Zhou; Xiaopeng Peng 001; Jiajun Song; Chuanhao Li 001; Zhaopan Xu; Yue Yang; Ziyao Guo; Hao Zhang 117; Yuqi Lin; Yefei He; Lirui Zhao; Shuo Liu; et al. (CVPR, 2025)

Neighboring Autoregressive Modeling for Efficient Visual Generation. - Yefei He; Yuanyu He; Shaoxuan He; Feng Chen; Hong Zhou; Kaipeng Zhang; Bohan Zhuang (CoRR, 2025)

ZipR1: Reinforcing Token Sparsity in MLLMs. - Feng Chen; Yefei He; Lequan Lin; Jing Liu 001; Bohan Zhuang; Qi Wu 001 (CoRR, 2025)

Towards accurate post-training quantization for reparameterized models. - Luoming Zhang; Yefei He; Wen Fei; Zhenyu Lou; Weijia Wu 001; Yangwei Ying; Hong Zhou (Appl. Intell., 2025)

Paragraph-to-Image Generation with Information-Enriched Diffusion Model. - Weijia Wu 001; Zhuang Li 002; Yefei He; Mike Zheng Shou; Chunhua Shen; Lele Cheng; Yan Li; Tingting Gao; Di Zhang (Int. J. Comput. Vis., 2025)