Yefei He - RankMe

42 papers A* 9B 1Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LiveWorld: Simulating Out-of-Sight Dynamics in Generative Video World Models. CoRR Zicheng Duan, Jiatong Xia, Zeyu Zhang, Wenbo Zhang, Gengze Zhou, Chenhui Gou, Yefei He, Feng Chen, Xinyu Zhang, Lingqiao Liu
2026	A*	`conf`	OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs. AAAI Feng Chen, Yefei He, Shaoxuan He, Yuanyu He, Jing Liu, Lequan Lin, Akide Liu, Zhaoyang Li, Jiyuan Zhang, Zhenbang Sun, Bohan Zhuang, Qi Wu
2025	J	`jnl`	Neighboring Autoregressive Modeling for Efficient Visual Generation. CoRR Yefei He, Yuanyu He, Shaoxuan He, Feng Chen, Hong Zhou, Kaipeng Zhang, Bohan Zhuang
2025	J	`jnl`	OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs. CoRR Feng Chen, Yefei He, Shaoxuan He, Yuanyu He, Jing Liu, Lequan Lin, Akide Liu, Zhaoyang Li, Jiyuan Zhang, Zhenbang Sun, Bohan Zhuang, Qi Wu
2025	A*	`conf`	OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation. CVPR Pengfei Zhou, Xiaopeng Peng, Jiajun Song, Chuanhao Li, Zhaopan Xu, Yue Yang, Ziyao Guo, Hao Zhang, Yuqi Lin, Yefei He, Lirui Zhao, Shuo Liu, Tianhua Li, Yuxuan Xie, Xiaojun Chang, Yu Qiao, Wenqi Shao, Kaipeng Zhang
2025	J	`jnl`	Paragraph-to-Image Generation with Information-Enriched Diffusion Model. Int. J. Comput. Vis. Weijia Wu, Zhuang Li, Yefei He, Mike Zheng Shou, Chunhua Shen, Lele Cheng, Yan Li, Tingting Gao, Di Zhang
2025	J	`jnl`	ShowTable: Unlocking Creative Table Visualization with Collaborative Reflection and Refinement. CoRR Zhihang Liu, Xiaoyi Bao, Pandeng Li, Junjie Zhou, Zhaohe Liao, Yefei He, Kaixun Jiang, Chen-Wei Xie, Yun Zheng, Hongtao Xie
2025	J	`jnl`	Towards accurate post-training quantization for reparameterized models. Appl. Intell. Luoming Zhang, Yefei He, Wen Fei, Zhenyu Lou, Weijia Wu, Yangwei Ying, Hong Zhou
2025	J	`jnl`	Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance. CoRR Ruihang Chu, Yefei He, Zhekai Chen, Shiwei Zhang, Xiaogang Xu, Bin Xia, Dingdong Wang, Hongwei Yi, Xihui Liu, Hengshuang Zhao, Yu Liu, Yingya Zhang, Yujiu Yang
2025	A*	`conf`	ZipAR: Parallel Autoregressive Image Generation through Spatial Locality. ICML Yefei He, Feng Chen, Yuanyu He, Shaoxuan He, Hong Zhou, Kaipeng Zhang, Bohan Zhuang
2025	J	`jnl`	ZipR1: Reinforcing Token Sparsity in MLLMs. CoRR Feng Chen, Yefei He, Lequan Lin, Jing Liu, Bohan Zhuang, Qi Wu
2024	J	`jnl`	Binarizing by Classification: Is Soft Function Really Necessary? IEEE Trans. Circuits Syst. Video Technol. Yefei He, Luoming Zhang, Weijia Wu, Hong Zhou
2024	J	`jnl`	DSText V2: A comprehensive video text spotting dataset for dense and small text. Pattern Recognit. Weijia Wu, Yiming Zhang, Yefei He, Luoming Zhang, Zhenyu Lou, Hong Zhou, Xiang Bai
2024	—	`conf`	DragAnything: Motion Control for Anything Using Entity Representation. ECCV (22) Weijia Wu, Zhuang Li, Yuchao Gu, Rui Zhao, Yefei He, David Junhao Zhang, Mike Zheng Shou, Yan Li, Tingting Gao, Di Zhang
2024	J	`jnl`	DragAnything: Motion Control for Anything using Entity Representation. CoRR Weijia Wu, Zhuang Li, Yuchao Gu, Rui Zhao, Yefei He, David Junhao Zhang, Mike Zheng Shou, Yan Li, Tingting Gao, Di Zhang
2024	A*	`conf`	EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. ICLR Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
2024	J	`jnl`	GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation. CoRR Pengfei Zhou, Xiaopeng Peng, Jiajun Song, Chuanhao Li, Zhaopan Xu, Yue Yang, Ziyao Guo, Hao Zhang, Yuqi Lin, Yefei He, Lirui Zhao, Shuo Liu, Tianhua Li, Yuxuan Xie, Xiaojun Chang, Yu Qiao, Wenqi Shao, Kaipeng Zhang
2024	J	`jnl`	ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models. CoRR Jing Liu, Ruihao Gong, Mingyang Zhang, Yefei He, Jianfei Cai, Bohan Zhuang
2024	A*	`conf`	MiniCache: KV Cache Compression in Depth Dimension for Large Language Models. NeurIPS Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Reza Haffari, Bohan Zhuang
2024	J	`jnl`	MiniCache: KV Cache Compression in Depth Dimension for Large Language Models. CoRR Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Gholamreza Haffari, Bohan Zhuang
2024	J	`jnl`	Towards Accurate Post-training Quantization for Reparameterized Models. CoRR Luoming Zhang, Yefei He, Wen Fei, Zhenyu Lou, Weijia Wu, Yangwei Ying, Hong Zhou
2024	J	`jnl`	ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality. CoRR Yefei He, Feng Chen, Yuanyu He, Shaoxuan He, Hong Zhou, Kaipeng Zhang, Bohan Zhuang
2024	A*	`conf`	ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification. NeurIPS Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang
2024	J	`jnl`	ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification. CoRR Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang
2024	J	`jnl`	ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsification and KV Cache Compression. CoRR Yefei He, Feng Chen, Jing Liu, Wenqi Shao, Hong Zhou, Kaipeng Zhang, Bohan Zhuang
2023	A*	`conf`	BiViT: Extremely Compressed Binary Vision Transformers. ICCV Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
2023	J	`jnl`	DSText V2: A Comprehensive Video Text Spotting Dataset for Dense and Small Text. CoRR Weijia Wu, Yiming Zhang, Yefei He, Luoming Zhang, Zhenyu Lou, Hong Zhou, Xiang Bai
2023	J	`jnl`	Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch Normalization. Neural Process. Lett. Yefei He, Luoming Zhang, Weijia Wu, Hong Zhou
2023	A*	`conf`	DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models. NeurIPS Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen
2023	J	`jnl`	DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models. CoRR Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen
2023	J	`jnl`	Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM. CoRR Luoming Zhang, Wen Fei, Weijia Wu, Yefei He, Zhenyu Lou, Hong Zhou
2023	J	`jnl`	EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. CoRR Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
2023	A*	`conf`	PTQD: Accurate Post-Training Quantization for Diffusion Models. NeurIPS Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
2023	J	`jnl`	PTQD: Accurate Post-Training Quantization for Diffusion Models. CoRR Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
2023	J	`jnl`	Paragraph-to-Image Generation with Information-Enriched Diffusion Model. CoRR Weijia Wu, Zhuang Li, Yefei He, Mike Zheng Shou, Chunhua Shen, Lele Cheng, Yan Li, Tingting Gao, Di Zhang, Zhongyuan Wang
2023	J	`jnl`	Rethinking the Value of Local Feature Fusion in Convolutional Neural Networks. Neural Process. Lett. Zhenyu Lou, Xin Ye, Luoming Zhang, Weijia Wu, Yefei He, Hong Zhou
2023	J	`jnl`	Root quantization: a self-adaptive supplement STE. Appl. Intell. Luoming Zhang, Yefei He, Zhenyu Lou, Xin Ye, Yuxing Wang, Hong Zhou
2022	J	`jnl`	BiViT: Extremely Compressed Binary Vision Transformer. CoRR Yefei He, Zhenyu Lou, Luoming Zhang, Weijia Wu, Bohan Zhuang, Hong Zhou
2022	J	`jnl`	Binarizing by Classification: Is soft function really necessary? CoRR Yefei He, Luoming Zhang, Weijia Wu, Hong Zhou
2022	J	`jnl`	Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch Normalization. CoRR Yefei He, Luoming Zhang, Weijia Wu, Hong Zhou
2017	J	`jnl`	Using smartphone technology to deliver a virtual pedestrian environment: usability and validation. Virtual Real. David C. Schwebel, Joan Severson, Yefei He
2002	B	`conf`	Real-Time Extendible-Resolution Display of On-line Dynamic Terrain. Graphics Interface Yefei He, James F. Cremer, Yiannis E. Papelis