Zhou, Daquan

25 publications

ICCV 2025 AR-1-to-3: Single Image to Consistent 3D Object via Next-View Prediction Xuying Zhang, Yupeng Zhou, Kai Wang, Yikai Wang, Zhen Li, Shaohui Jiao, Daquan Zhou, Qibin Hou, Ming-Ming Cheng

ICML 2025 SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer Enze Xie, Junsong Chen, Yuyang Zhao, Jincheng Yu, Ligeng Zhu, Yujun Lin, Zhekai Zhang, Muyang Li, Junyu Chen, Han Cai, Bingchen Liu, Daquan Zhou, Song Han

ECCVW 2024 DiM: Distilling Dataset into Generative Model Kai Wang, Jianyang Gu, Hansong Zhang, Daquan Zhou, Zheng Zhu, Wei Jiang, Yang You

ICLR 2024 InfoBatch: Lossless Training Speed up by Unbiased Dynamic Data Pruning Ziheng Qin, Kai Wang, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, xu Zhao Pan, Daquan Zhou, Lei Shang, Baigui Sun, Xuansong Xie, Yang You

NeurIPS 2024 LVD-2M: A Long-Take Video Dataset with Temporally Dense Captions Tianwei Xiong, Yuqing Wang, Daquan Zhou, Zhijie Lin, Jiashi Feng, Xihui Liu

ECCVW 2024 Magic-Me: Identity-Specific Video Customized Diffusion Ze Ma, Daquan Zhou, Xue-She Wang, Chun-Hsiao Yeh, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng

ICLRW 2024 Magic: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng

CVPR 2024 PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought Junyi Yao, Yijiang Liu, Zhen Dong, Mingfei Guo, Helan Hu, Kurt Keutzer, Li Du, Daquan Zhou, Shanghang Zhang

NeurIPS 2024 StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou

ICCV 2023 Dataset Quantization Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng

ICCV 2023 DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li

CVPR 2023 Diffusion Probabilistic Model Made Slim Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang

NeurIPS 2023 Expanding Small-Scale Datasets with Guided Imagination Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng

ICML 2023 PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor

NeurIPS 2022 Deep Model Reassembly Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang

NeurIPS 2022 Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang

NeurIPS 2022 Sharpness-Aware Training for Free Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Tan, Joey Tianyi Zhou

CVPR 2022 Shunted Self-Attention via Multi-Scale Token Aggregation Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang

ICML 2022 Understanding the Robustness in Vision Transformers Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jose M. Alvarez

NeurIPS 2021 All Tokens Matter: Token Labeling for Training Better Vision Transformers Zi-Hang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng

ICCV 2021 AutoSpace: Neural Architecture Search with Less Human Interference Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng

CVPR 2021 Coordinate Attention for Efficient Mobile Network Design Qibin Hou, Daquan Zhou, Jiashi Feng

NeurIPS 2020 ConvBERT: Improving BERT with Span-Based Dynamic Convolution Zi-Hang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan

ICLR 2020 Neural Epitome Search for Architecture-Agnostic Network Compression Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng

ECCV 2020 Rethinking Bottleneck Structure for Efficient Mobile Network Design Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan