Zhou, Hong

14 publications

ICCV 2025 Neighboring Autoregressive Modeling for Efficient Visual Generation Yefei He, Yuanyu He, Shaoxuan He, Feng Chen, Hong Zhou, Kaipeng Zhang, Bohan Zhuang

ICML 2025 ZipAR: Parallel Autoregressive Image Generation Through Spatial Locality Yefei He, Feng Chen, Yuanyu He, Shaoxuan He, Hong Zhou, Kaipeng Zhang, Bohan Zhuang

ICCV 2025 ZipVL: Accelerating Vision-Language Models Through Dynamic Token Sparsity Yefei He, Feng Chen, Jing Liu, Wenqi Shao, Hong Zhou, Kaipeng Zhang, Bohan Zhuang

MLJ 2024 A Survey of Class-Imbalanced Semi-Supervised Learning Qian Gui, Hong Zhou, Na Guo, Baoning Niu

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

NeurIPS 2024 Harmonizing Stochasticity and Determinism: Scene-Responsive Diverse Human Motion Prediction Tuo Wang, Zhenbo Song, Zhenyu Lou, Qiongjie Cui, Luoming Zhang, Cheng Cheng, Haofan Wang, Xu Tang, Huaxia Li, Hong Zhou

WACV 2024 Improving Vision-and-Language Reasoning via Spatial Relations Modeling Cheng Yang, Rui Xu, Ye Guo, Peixiang Huang, Yiru Chen, Wenkui Ding, Zhongyuan Wang, Hong Zhou

CVPR 2024 Multimodal Sense-Informed Forecasting of 3D Human Motions Zhenyu Lou, Qiongjie Cui, Haofan Wang, Xu Tang, Hong Zhou

NeurIPS 2024 ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang

ICCV 2023 BiViT: Extremely Compressed Binary Vision Transformers Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

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

ICCV 2023 DiffuMask: Synthesizing Images with Pixel-Level Annotations for Semantic Segmentation Using Diffusion Models Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, Chunhua Shen

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

ICCV 2021 Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection Jinlei Hou, Yingying Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Hong Zhou