Kai Han

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 116

Top Venues

Publications

Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Kai Han, Yunhe Wang
Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting. CoRR (2024)
Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han
Large OCR Model: An Empirical Study of Scaling Law for OCR. CoRR (2024)
Jianyuan Guo, Hanting Chen, Chengcheng Wang, Kai Han, Chang Xu, Yunhe Wang
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models. CoRR (2024)
Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu
Data-efficient Large Vision Models through Sequential Autoregression. CoRR (2024)
Zhenhua Liu, Zhiwei Hao, Kai Han, Yehui Tang, Yunhe Wang
GhostNetV3: Exploring the Training Strategies for Compact Models. CoRR (2024)
Wei He, Kai Han, Yehui Tang, Chengcheng Wang, Yujie Yang, Tianyu Guo, Yunhe Wang
DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models. CoRR (2024)
Keyu Li, Nannan Wang, Jingwei Xin, Xinrui Jiang, Jie Li, Xinbo Gao, Kai Han, Yunhe Wang
Local Means Binary Networks for Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. CoRR (2024)
Yujie Yang, Haochen Qin, Hang Zhou, Chengcheng Wang, Tianyu Guo, Kai Han, Yunhe Wang
A robust audio deepfake detection system via multi-view feature. CoRR (2024)
Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. CoRR (2024)
Chengcheng Wang, Zhiwei Hao, Yehui Tang, Jianyuan Guo, Yujie Yang, Kai Han, Yunhe Wang
SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution. CoRR (2024)
Yujie Yang, Haochen Qin, Hang Zhou, Chengcheng Wang, Tianyu Guo, Kai Han, Yunhe Wang
A Robust Audio Deepfake Detection System via Multi-View Feature. ICASSP (2024)
Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. CoRR (2024)
Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao
A Survey on Transformer Compression. CoRR (2024)
Yehui Tang, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Kai Han, Yunhe Wang
Rethinking Optimization and Architecture for Tiny Language Models. CoRR (2024)
Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Kai Han, Yunhe Wang
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. CoRR (2023)
Wei He, Kai Han, Ying Nie, Chengcheng Wang, Yunhe Wang
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition. NeurIPS (2023)
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao
A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Wei He, Kai Han, Ying Nie, Chengcheng Wang, Yunhe Wang
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition. CoRR (2023)
Kang Zhao, Yijun Tan, Kai Han, Ting Hu, Hanting Chen, Tao Yuan, Yunhe Wang, Jun Yao
Complementary Sparsity: Accelerating Sparse CNNs with High Accuracy on General-Purpose Computing Platforms. Trans. Mach. Learn. Res. 2023 (2023)
Ning Ding, Yehui Tang, Zhongqian Fu, Chao Xu, Kai Han, Yunhe Wang
GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks? CoRR (2023)
Ying Nie, Wei He, Kai Han, Yehui Tang, Tianyu Guo, Fanyi Du, Yunhe Wang
LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models. CoRR (2023)
Kai Han, Yunhe Wang, Jianyuan Guo, Enhua Wu
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks. CoRR (2023)
Hang Zhou, Xiaoxu Zheng, Yunhe Wang, Michael Bi Mi, Deyi Xiong, Kai Han
GhostRNN: Reducing State Redundancy in RNN with Cheap Operations. INTERSPEECH (2023)
Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale. NeurIPS (2023)
Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. NeurIPS (2023)
Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. ICCV (2023)
Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. CoRR (2023)
Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han
Masked Image Modeling with Local Multi-Scale Reconstruction. CVPR (2023)
Ning Ding, Yehui Tang, Kai Han, Chao Xu, Yunhe Wang
Network Expansion For Practical Training Acceleration. CVPR (2023)
Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han
Masked Image Modeling with Local Multi-Scale Reconstruction. CoRR (2023)
Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang, Bowen Zhang, Kai Han, Yunhe Wang
Category Feature Transformer for Semantic Segmentation. CoRR (2023)
Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang, Kai Han
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. NeurIPS (2023)
Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. CoRR (2023)
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation. ICCV (2023)
Yunhe Wang, Hanting Chen, Yehui Tang, Tianyu Guo, Kai Han, Ying Nie, Xutao Wang, Hailin Hu, Zheyuan Bai, Yun Wang, Fangcheng Liu, Zhicheng Liu, Jianyuan Guo, Sinan Zeng, Yinchen Zhang, Qinghua Xu, Qun Liu, Jun Yao, Chao Xu, Dacheng Tao
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation. CoRR (2023)
Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao
Patch Slimming for Efficient Vision Transformers. CVPR (2022)
Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang
Redistribution of Weights and Activations for AdderNet Quantization. CoRR (2022)
Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. NeurIPS (2022)
Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Yunhe Wang, Chang Xu
FastMIM: Expediting Masked Image Modeling Pre-training for Vision. CoRR (2022)
Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao
Instance-Aware Dynamic Neural Network Quantization. CVPR (2022)
Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. NeurIPS (2022)
Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang
Redistribution of Weights and Activations for AdderNet Quantization. NeurIPS (2022)
Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
GhostNets on Heterogeneous Devices via Cheap Operations. CoRR (2022)
Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
GhostNets on Heterogeneous Devices via Cheap Operations. Int. J. Comput. Vis. 130 (4) (2022)
Kai Han, Jianyuan Guo, Yehui Tang, Yunhe Wang
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture. CoRR (2022)
Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao
Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang
Hire-MLP: Vision MLP via Hierarchical Rearrangement. CVPR (2022)
Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu
Vision GNN: An Image is Worth Graph of Nodes. NeurIPS (2022)
Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu
Vision GNN: An Image is Worth Graph of Nodes. CoRR (2022)
Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. CoRR (2022)
Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang
An Image Patch is a Wave: Phase-Aware Vision MLP. CVPR (2022)
Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. Trans. Mach. Learn. Res. 2022 (2022)
Chuanjian Liu, Kai Han, An Xiao, Ying Nie, Wei Zhang, Yunhe Wang
Network Amplification with Efficient MACs Allocation. CVPR Workshops (2022)
Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu
CMT: Convolutional Neural Networks Meet Vision Transformers. CVPR (2022)
Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang
Greedy Network Enlarging. CoRR (2021)
Yunhe Wang, Mingqiang Huang, Kai Han, Hanting Chen, Wei Zhang, Chunjing Xu, Dacheng Tao
AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence. CoRR (2021)
Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang
Transformer in Transformer. CoRR (2021)
Ding Jia, Kai Han, Yunhe Wang, Yehui Tang, Jianyuan Guo, Chao Zhang, Dacheng Tao
Efficient Vision Transformers via Fine-Grained Manifold Distillation. CoRR (2021)
Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
Distilling Object Detectors via Decoupled Features. CoRR (2021)
Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang
Dynamic Resolution Network. CoRR (2021)
Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
Distilling Object Detectors via Decoupled Features. CVPR (2021)
Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang
Hire-MLP: Vision MLP via Hierarchical Rearrangement. CoRR (2021)
Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang
Positive-Unlabeled Data Purification in the Wild for Object Detection. CVPR (2021)
Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
Learning Frequency Domain Approximation for Binary Neural Networks. CoRR (2021)
Mingjian Zhu, Kai Han, Yehui Tang, Yunhe Wang
Visual Transformer Pruning. CoRR (2021)
Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao
Post-Training Quantization for Vision Transformer. CoRR (2021)
Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang
An Image Patch is a Wave: Phase-Aware Vision MLP. CoRR (2021)
Kai Han, Jinho Lee, Lang Huang, Fangcheng Liu, Seiichi Uchida, Chao Zhang
Mining Neighbor Frames for Person Re-identification by Global Optimal Tracking. ICSI (2) (2021)
Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao
Learning Versatile Convolution Filters for Efficient Visual Recognition. CoRR (2021)
Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
CMT: Convolutional Neural Networks Meet Vision Transformers. CoRR (2021)
Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu
ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR (2021)
Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao
Patch Slimming for Efficient Vision Transformers. CoRR (2021)
Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang
Augmented Shortcuts for Vision Transformers. CoRR (2021)
Zhenhua Liu, Yunhe Wang, Kai Han, Wei Zhang, Siwei Ma, Wen Gao
Post-Training Quantization for Vision Transformer. NeurIPS (2021)
Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS (2021)
Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang
Dynamic Resolution Network. NeurIPS (2021)
Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang
Augmented Shortcuts for Vision Transformers. NeurIPS (2021)
Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang
Transformer in Transformer. NeurIPS (2021)
Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, Yunhe Wang
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. CoRR (2021)
Ying Nie, Kai Han, Yunhe Wang
Multi-bit Adaptive Distillation for Binary Neural Networks. BMVC (2021)
Mingjian Zhu, Kai Han, Changbin Yu, Yunhe Wang
Dynamic Feature Pyramid Networks for Object Detection. CoRR (2020)
Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
Training Binary Neural Networks through Learning with Noisy Supervision. ICML (2020)
Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
Training Binary Neural Networks through Learning with Noisy Supervision. CoRR (2020)
Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian
Widening and Squeezing: Towards Accurate and Efficient QNNs. CoRR (2020)
Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu
Searching for Low-Bit Weights in Quantized Neural Networks. CoRR (2020)
Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu
Searching for Low-Bit Weights in Quantized Neural Networks. NeurIPS (2020)
Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu
GhostNet: More Features From Cheap Operations. CVPR (2020)
Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. NeurIPS (2020)
Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang
VEGA: Towards an End-to-End Configurable AutoML Pipeline. CoRR (2020)
Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. CoRR (2020)
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao
A Survey on Visual Transformer. CoRR (2020)
Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. CoRR (2020)
Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. CVPR (2020)
Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu
Full-Stack Filters to Build Minimum Viable CNNs. CoRR (2019)
Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu
Co-Evolutionary Compression for Unpaired Image Translation. CoRR (2019)
Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu
GhostNet: More Features from Cheap Operations. CoRR (2019)
Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu
Co-Evolutionary Compression for Unpaired Image Translation. ICCV (2019)
Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
Positive-Unlabeled Compression on the Cloud. NeurIPS (2019)
Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu
Attribute Aware Pooling for Pedestrian Attribute Recognition. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kai Han