Daquan Zhou - RankMe

84 papers A* 23Journal 58Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Spatial Understanding in Image Generation via Reward Modeling. CoRR Zhenyu Tang, Chaoran Feng, Yufan Deng, Jie Wu, Xiaojie Li, Rui Wang, Yunpeng Chen, Daquan Zhou
2026	J	`jnl`	MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head. CoRR Kewei Zhang, Ye Huang, Yufan Deng, Jincheng Yu, Junsong Chen, Huan Ling, Enze Xie, Daquan Zhou
2026	J	`jnl`	Rethinking Video Generation Model for the Embodied World. CoRR Yufan Deng, Zilin Pan, Hongyu Zhang, Xiaojie Li, Ruoqing Hu, Yufei Ding, Yiming Zou, Yan Zeng, Daquan Zhou
2025	J	`jnl`	AR-1-to-3: Single Image to Consistent 3D Object Generation via Next-View Prediction. CoRR Xuying Zhang, Yupeng Zhou, Kai Wang, Yikai Wang, Zhen Li, Xiuli Shao, Daquan Zhou, Qibin Hou, Ming-Ming Cheng
2025	J	`jnl`	EgoReAct: Egocentric Video-Driven 3D Human Reaction Generation. CoRR Libo Zhang, Zekun Li, Tianyu Li, Zeyu Cao, Rui Xu, Xiaoxiao Long, Wenjia Wang, Jingbo Wang, Yuan Liu, Wenping Wang, Daquan Zhou, Taku Komura, Zhiyang Dou
2025	J	`jnl`	Factorization Vision Transformer: Modeling Long-Range Dependency With Local Window Cost. IEEE Trans. Neural Networks Learn. Syst. Haolin Qin, Daquan Zhou, Tingfa Xu, Ziyang Bian, Jianan Li
2025	J	`jnl`	Low-Resolution Self-Attention for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen
2025	J	`jnl`	MagicDistillation: Weak-to-Strong Video Distillation for Large-Scale Few-Step Synthesis. CoRR Shitong Shao, Hongwei Yi, Hanzhong Guo, Tian Ye, Daquan Zhou, Michael Lingelbach, Zhiqiang Xu, Zeke Xie
2025	J	`jnl`	MagicInfinite: Generating Infinite Talking Videos with Your Words and Voice. CoRR Hongwei Yi, Tian Ye, Shitong Shao, Xuancheng Yang, Jiantong Zhao, Hanzhong Guo, Terrance Wang, Qingyu Yin, Zeke Xie, Lei Zhu, Wei Li, Michael Lingelbach, Daquan Zhou
2025	J	`jnl`	MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask. Int. J. Comput. Vis. Yupeng Zhou, Daquan Zhou, Yaxing Wang, Jiashi Feng, Qibin Hou
2025	J	`jnl`	OneVAE: Joint Discrete and Continuous Optimization Helps Discrete Video VAE Train Better. CoRR Yupeng Zhou, Zhen Li, Ziheng Ouyang, Yuming Chen, Ruoyi Du, Daquan Zhou, Bin Fu, Yihao Liu, Peng Gao, Ming-Ming Cheng, Qibin Hou
2025	A*	`conf`	SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer. ICML 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
2025	J	`jnl`	SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer. CoRR 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
2025	J	`jnl`	SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer. CoRR Junsong Chen, Yuyang Zhao, Jincheng Yu, Ruihang Chu, Junyu Chen, Shuai Yang, Xianbang Wang, Yicheng Pan, Daquan Zhou, Huan Ling, Haozhe Liu, Hongwei Yi, Hao Zhang, Muyang Li, Yukang Chen, Han Cai, Sanja Fidler, Ping Luo, Song Han, Enze Xie
2024	J	`jnl`	Chain of Thought Explanation for Dialogue State Tracking. CoRR Lin Xu, Ningxin Peng, Daquan Zhou, See-Kiong Ng, Jinlan Fu
2024	—	`conf`	DiM: Distilling Dataset into Generative Model. ECCV Workshops (19) Kai Wang, Jianyang Gu, Hansong Zhang, Daquan Zhou, Zheng Zhu, Wei Jiang, Yang You
2024	A*	`conf`	EPIM: Efficient Processing-In-Memory Accelerators based on Epitome. DAC Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer
2024	J	`jnl`	HunyuanVideo: A Systematic Framework For Large Video Generative Models. CoRR Weijie Kong, Qi Tian, Zijian Zhang, Rox Min, Zuozhuo Dai, Jin Zhou, Jiangfeng Xiong, Xin Li, Bo Wu, Jianwei Zhang, Kathrina Wu, Qin Lin, Junkun Yuan, Yanxin Long, Aladdin Wang, Andong Wang, Changlin Li, Duojun Huang, Fang Yang, Hao Tan, Hongmei Wang, Jacob Song, Jiawang Bai, Jianbing Wu, Jinbao Xue, Joey Wang, Kai Wang, Mengyang Liu, Pengyu Li, Shuai Li, Weiyan Wang, Wenqing Yu, Xinchi Deng, Yang Li, Yi Chen, Yutao Cui, Yuanbo Peng, Zhentao Yu, Zhiyu He, Zhiyong Xu, Zixiang Zhou, Zunnan Xu, Yangyu Tao, Qinglin Lu, Songtao Liu, Daquan Zhou, Hongfa Wang, Yong Yang, Di Wang, Yuhong Liu, Jie Jiang, Caesar Zhong
2024	A*	`conf`	InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning. ICLR Ziheng Qin, Kai Wang, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, Zhaopan Xu, Daquan Zhou, Lei Shang, Baigui Sun, Xuansong Xie, Yang You
2024	A*	`conf`	LVD-2M: A Long-take Video Dataset with Temporally Dense Captions. NeurIPS Tianwei Xiong, Yuqing Wang, Daquan Zhou, Zhijie Lin, Jiashi Feng, Xihui Liu
2024	J	`jnl`	LVD-2M: A Long-take Video Dataset with Temporally Dense Captions. CoRR Tianwei Xiong, Yuqing Wang, Daquan Zhou, Zhijie Lin, Jiashi Feng, Xihui Liu
2024	J	`jnl`	Loong: Generating Minute-level Long Videos with Autoregressive Language Models. CoRR Yuqing Wang, Tianwei Xiong, Daquan Zhou, Zhijie Lin, Yang Zhao, Bingyi Kang, Jiashi Feng, Xihui Liu
2024	A*	`conf`	MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. EMNLP Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng
2024	—	`conf`	Magic-Me: Identity-Specific Video Customized Diffusion. ECCV Workshops (5) Ze Ma, Daquan Zhou, Xue-She Wang, Chun-Hsiao Yeh, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng
2024	J	`jnl`	Magic-Me: Identity-Specific Video Customized Diffusion. CoRR Ze Ma, Daquan Zhou, Chun-Hsiao Yeh, Xue-She Wang, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng
2024	J	`jnl`	MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation. CoRR Weimin Wang, Jiawei Liu, Zhijie Lin, Jiangqiao Yan, Shuo Chen, Chetwin Low, Tuyen Hoang, Jie Wu, Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng
2024	J	`jnl`	MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image Segmentation. CoRR Quan-Sheng Zeng, Yunheng Li, Daquan Zhou, Guanbin Li, Qibin Hou, Ming-Ming Cheng
2024	J	`jnl`	PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning. CoRR Lin Xu, Yilin Zhao, Daquan Zhou, Zhijie Lin, See-Kiong Ng, Jiashi Feng
2024	A*	`conf`	PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought. CVPR Junyi Yao, Yijiang Liu, Zhen Dong, Mingfei Guo, Helan Hu, Kurt Keutzer, Li Du, Daquan Zhou, Shanghang Zhang
2024	J	`jnl`	Real-time One-Step Diffusion-based Expressive Portrait Videos Generation. CoRR Hanzhong Guo, Hongwei Yi, Daquan Zhou, Alexander William Bergman, Michael Lingelbach, Yizhou Yu
2024	J	`jnl`	Sora Generates Videos with Stunning Geometrical Consistency. CoRR Xuan-Yi Li, Daquan Zhou, Chenxu Zhang, Shaodong Wei, Qibin Hou, Ming-Ming Cheng
2024	A*	`conf`	StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation. NeurIPS Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou
2024	J	`jnl`	StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation. CoRR Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou
2023	J	`jnl`	BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs. CoRR Yang Zhao, Zhijie Lin, Daquan Zhou, Zilong Huang, Jiashi Feng, Bingyi Kang
2023	J	`jnl`	ChatAnything: Facetime Chat with LLM-Enhanced Personas. CoRR Yilin Zhao, Xinbin Yuan, Shanghua Gao, Zhijie Lin, Qibin Hou, Jiashi Feng, Daquan Zhou
2023	A*	`conf`	Dataset Quantization. ICCV Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng
2023	J	`jnl`	Dataset Quantization. CoRR Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng
2023	J	`jnl`	DiM: Distilling Dataset into Generative Model. CoRR Kai Wang, Jianyang Gu, Daquan Zhou, Zheng Zhu, Wei Jiang, Yang You
2023	A*	`conf`	DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning. ICCV Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li
2023	J	`jnl`	DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning. CoRR Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li
2023	A*	`conf`	Diffusion Probabilistic Model Made Slim. CVPR Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
2023	J	`jnl`	EPIM: Efficient Processing-In-Memory Accelerators based on Epitome. CoRR Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer
2023	A*	`conf`	Expanding Small-Scale Datasets with Guided Imagination. NeurIPS Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng
2023	J	`jnl`	Factorization Vision Transformer: Modeling Long Range Dependency with Local Window Cost. CoRR Haolin Qin, Daquan Zhou, Tingfa Xu, Ziyang Bian, Jianan Li
2023	J	`jnl`	InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning. CoRR Ziheng Qin, Kai Wang, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, Daquan Zhou, Yang You
2023	J	`jnl`	Low-Resolution Self-Attention for Semantic Segmentation. CoRR Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen
2023	J	`jnl`	MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. CoRR Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng
2023	J	`jnl`	MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask. CoRR Yupeng Zhou, Daquan Zhou, Zuo-Liang Zhu, Yaxing Wang, Qibin Hou, Jiashi Feng
2023	A*	`conf`	PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient. ICML Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor
2023	J	`jnl`	Token Selection is a Simple Booster for Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. Daquan Zhou, Qibin Hou, Linjie Yang, Xiaojie Jin, Jiashi Feng
2022	A*	`conf`	Deep Model Reassembly. NeurIPS Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
2022	J	`jnl`	Deep Model Reassembly. CoRR Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
2022	J	`jnl`	Diffusion Probabilistic Model Made Slim. CoRR Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
2022	J	`jnl`	Expanding Small-Scale Datasets with Guided Imagination. CoRR Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng
2022	J	`jnl`	M CoRR Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, José M. Álvarez
2022	J	`jnl`	MagicMix: Semantic Mixing with Diffusion Models. CoRR Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng
2022	J	`jnl`	MagicVideo: Efficient Video Generation With Latent Diffusion Models. CoRR Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng
2022	J	`jnl`	Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Jibin Wu, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang, Haizhou Li, Kay Chen Tan
2022	A*	`conf`	Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning. NeurIPS Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang
2022	J	`jnl`	Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning. CoRR Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang
2022	A*	`conf`	Sharpness-Aware Training for Free. NeurIPS Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou
2022	J	`jnl`	Sharpness-Aware Training for Free. CoRR Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou
2022	A*	`conf`	Shunted Self-Attention via Multi-Scale Token Aggregation. CVPR Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang
2022	A*	`conf`	Understanding The Robustness in Vision Transformers. ICML Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, José M. Álvarez
2022	J	`jnl`	Understanding The Robustness in Vision Transformers. CoRR Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng, José M. Álvarez
2022	J	`jnl`	Velocity-to-velocity human motion forecasting. Pattern Recognit. Hongsong Wang, Liang Wang, Jiashi Feng, Daquan Zhou
2021	A*	`conf`	All Tokens Matter: Token Labeling for Training Better Vision Transformers. NeurIPS Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng
2021	A*	`conf`	AutoSpace: Neural Architecture Search with Less Human Interference. ICCV Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng
2021	J	`jnl`	AutoSpace: Neural Architecture Search with Less Human Interference. CoRR Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng
2021	A*	`conf`	Coordinate Attention for Efficient Mobile Network Design. CVPR Qibin Hou, Daquan Zhou, Jiashi Feng
2021	J	`jnl`	Coordinate Attention for Efficient Mobile Network Design. CoRR Qibin Hou, Daquan Zhou, Jiashi Feng
2021	J	`jnl`	DeepViT: Towards Deeper Vision Transformer. CoRR Daquan Zhou, Bingyi Kang, Xiaojie Jin, Linjie Yang, Xiaochen Lian, Qibin Hou, Jiashi Feng
2021	J	`jnl`	Refiner: Refining Self-attention for Vision Transformers. CoRR Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Li Yuan, Xiaojie Jin, Qibin Hou, Jiashi Feng
2021	J	`jnl`	Shunted Self-Attention via Multi-Scale Token Aggregation. CoRR Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang
2021	J	`jnl`	Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet. CoRR Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Xiaojie Jin, Anran Wang, Jiashi Feng
2020	A*	`conf`	ConvBERT: Improving BERT with Span-based Dynamic Convolution. NeurIPS Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan
2020	J	`jnl`	ConvBERT: Improving BERT with Span-based Dynamic Convolution. CoRR Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan
2020	A*	`conf`	Neural Epitome Search for Architecture-Agnostic Network Compression. ICLR Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng
2020	J	`jnl`	Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks. CoRR Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan
2020	—	`conf`	Rethinking Bottleneck Structure for Efficient Mobile Network Design. ECCV (3) Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan
2020	J	`jnl`	Rethinking Bottleneck Structure for Efficient Mobile Network Design. CoRR Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan
2019	J	`jnl`	Deep Model Compression via Filter Auto-sampling. CoRR Daquan Zhou, Xiaojie Jin, Kaixin Wang, Jianchao Yang, Jiashi Feng
2019	A*	`conf`	PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. ICCV Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng
2019	J	`jnl`	PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment. CoRR Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng