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2020 – today
- 2024
[c36]Hao Xiong, Yehui Tang, Xinyu Ye, Junchi Yan:
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning. CVPR 2024: 26162-26170- [c35]Mengyu Zheng, Zhiwei Hao, Yehui Tang, Chang Xu:
Visual Prompting via Partial Optimal Transport. ECCV (35) 2024: 1-18 - [c34]Hao Xiong, Yehui Tang, Yunlin He, Wei Tan, Junchi Yan:
Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space. ICLR 2024 - [c33]Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan:
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark. ICLR 2024 - [c32]Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang:
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization. ICML 2024 - [c31]Zhiwei Hao, Jianyuan Guo, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu:
Data-efficient Large Vision Models through Sequential Autoregression. ICML 2024 - [c30]Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang:
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. ICML 2024 - [c29]Wenshuo Li, Xinghao Chen, Han Shu, Yehui Tang, Yunhe Wang:
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking. ICML 2024 - [c28]Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang:
Rethinking Optimization and Architecture for Tiny Language Models. ICML 2024 - [c27]Yehui Tang, Nianzu Yang, Mabiao Long, Junchi Yan:
SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification. ICML 2024 - [i44]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 abs/2402.02791 (2024) - [i43]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 abs/2402.04841 (2024) - [i42]Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao:
A Survey on Transformer Compression. CoRR abs/2402.05964 (2024) - [i41]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 abs/2402.17133 (2024) - [i40]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 abs/2403.00818 (2024) - [i39]Zhenhua Liu, Zhiwei Hao, Kai Han, Yehui Tang, Yunhe Wang:
GhostNetV3: Exploring the Training Strategies for Compact Models. CoRR abs/2404.11202 (2024) - [i38]Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Kai Han, Yunhe Wang:
Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting. CoRR abs/2404.18911 (2024) - [i37]Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang:
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. CoRR abs/2405.05615 (2024) - [i36]Zhenliang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang:
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation. CoRR abs/2405.06228 (2024) - [i35]Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang:
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. CoRR abs/2405.07542 (2024) - [i34]Yingjie Zhai, Wenshuo Li, Yehui Tang, Xinghao Chen, Yunhe Wang:
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding. CoRR abs/2405.08344 (2024) - [i33]Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang:
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization. CoRR abs/2405.11582 (2024) - [i32]Wenshuo Li, Xinghao Chen, Han Shu, Yehui Tang, Yunhe Wang:
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking. CoRR abs/2406.11257 (2024) - [i31]Xiaoyu Liu, Yun Zhang, Wei Li, Simiao Li, Xudong Huang, Hanting Chen, Yehui Tang, Jie Hu, Zhiwei Xiong, Yunhe Wang:
Multi-Granularity Semantic Revision for Large Language Model Distillation. CoRR abs/2407.10068 (2024) - [i30]Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang:
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning. CoRR abs/2408.06798 (2024) - 2023
- [j2]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): 87-110 (2023) - [c26]Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han:
Masked Image Modeling with Local Multi-Scale Reconstruction. CVPR 2023: 2122-2131 - [c25]Ning Ding, Yehui Tang, Kai Han, Chao Xu, Yunhe Wang:
Network Expansion For Practical Training Acceleration. CVPR 2023: 20269-20279 - [c24]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 - [i29]Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han:
Masked Image Modeling with Local Multi-Scale Reconstruction. CoRR abs/2303.05251 (2023) - [i28]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 abs/2306.00693 (2023) - [i27]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 abs/2310.19444 (2023) - [i26]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 abs/2312.00674 (2023) - [i25]Xin Ding, Xiaoyu Liu, Yun Zhang, Zhijun Tu, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang:
CBQ: Cross-Block Quantization for Large Language Models. CoRR abs/2312.07950 (2023) - [i24]Han Shu, Wenshuo Li, Yehui Tang, Yiman Zhang, Yihao Chen, Houqiang Li, Yunhe Wang, Xinghao Chen:
TinySAM: Pushing the Envelope for Efficient Segment Anything Model. CoRR abs/2312.13789 (2023) - [i23]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 abs/2312.17276 (2023) - 2022
- [j1]Yehui Tang, Junchi Yan, Guoqiang Hu, Baohua Zhang, Jinzan Zhou:
Recent progress and perspectives on quantum computing for finance. Serv. Oriented Comput. Appl. 16(4): 227-229 (2022) - [c23]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: 816-826 - [c22]Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao:
Source-Free Domain Adaptation via Distribution Estimation. CVPR 2022: 7202-7212 - [c21]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: 10925-10934 - [c20]Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao:
Patch Slimming for Efficient Vision Transformers. CVPR 2022: 12155-12164 - [c19]Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu:
CMT: Convolutional Neural Networks Meet Vision Transformers. CVPR 2022: 12165-12175 - [c18]Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu:
Spatial-Channel Token Distillation for Vision MLPs. ICML 2022: 12685-12695 - [c17]Ge Yan, Yehui Tang, Junchi Yan:
Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach. KDD 2022: 2160-2168 - [c16]Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu:
Vision GNN: An Image is Worth Graph of Nodes. NeurIPS 2022 - [c15]Yuqiao Liu, Yehui Tang, Zeqiong Lv, Yunhe Wang, Yanan Sun:
Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor. NeurIPS 2022 - [c14]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 - [c13]Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang:
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. NeurIPS 2022 - [c12]Yehui Tang, Junchi Yan:
GraphQNTK: Quantum Neural Tangent Kernel for Graph Data. NeurIPS 2022 - [i22]Kai Han, Jianyuan Guo, Yehui Tang, Yunhe Wang:
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture. CoRR abs/2201.00978 (2022) - [i21]Yehui Tang, Junchi Yan, Edwin R. Hancock:
From Quantum Graph Computing to Quantum Graph Learning: A Survey. CoRR abs/2202.09506 (2022) - [i20]Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao:
Source-Free Domain Adaptation via Distribution Estimation. CoRR abs/2204.11257 (2022) - [i19]Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu:
Vision GNN: An Image is Worth Graph of Nodes. CoRR abs/2206.00272 (2022) - [i18]Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang:
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. CoRR abs/2211.12905 (2022) - [i17]Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Yunhe Wang, Chang Xu:
FastMIM: Expediting Masked Image Modeling Pre-training for Vision. CoRR abs/2212.06593 (2022) - 2021
- [c11]Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu:
ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR 2021: 4411-4420 - [c10]Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu:
Manifold Regularized Dynamic Network Pruning. CVPR 2021: 5018-5028 - [c9]Yuqiao Liu, Yehui Tang, Yanan Sun:
Homogeneous Architecture Augmentation for Neural Predictor. ICCV 2021: 12229-12238 - [c8]Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang:
Augmented Shortcuts for Vision Transformers. NeurIPS 2021: 15316-15327 - [c7]Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS 2021: 25553-25565 - [i16]Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
Learning Frequency Domain Approximation for Binary Neural Networks. CoRR abs/2103.00841 (2021) - [i15]Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu:
Manifold Regularized Dynamic Network Pruning. CoRR abs/2103.05861 (2021) - [i14]Mingjian Zhu, Kai Han, Yehui Tang, Yunhe Wang:
Visual Transformer Pruning. CoRR abs/2104.08500 (2021) - [i13]Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao:
Patch Slimming for Efficient Vision Transformers. CoRR abs/2106.02852 (2021) - [i12]Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang:
Augmented Shortcuts for Vision Transformers. CoRR abs/2106.15941 (2021) - [i11]Ding Jia, Kai Han, Yunhe Wang, Yehui Tang, Jianyuan Guo, Chao Zhang, Dacheng Tao:
Efficient Vision Transformers via Fine-Grained Manifold Distillation. CoRR abs/2107.01378 (2021) - [i10]Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
CMT: Convolutional Neural Networks Meet Vision Transformers. CoRR abs/2107.06263 (2021) - [i9]Yuqiao Liu, Yehui Tang, Yanan Sun:
Homogeneous Architecture Augmentation for Neural Predictor. CoRR abs/2107.13153 (2021) - [i8]Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang:
Hire-MLP: Vision MLP via Hierarchical Rearrangement. CoRR abs/2108.13341 (2021) - [i7]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 abs/2111.12294 (2021) - 2020
- [c6]Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu:
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. AAAI 2020: 5964-5971 - [c5]Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang:
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data. AAAI 2020: 5972-5980 - [c4]Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
Frequency Domain Compact 3D Convolutional Neural Networks. CVPR 2020: 1638-1647 - [c3]Jin Han, Chu Zhou, Peiqi Duan, Yehui Tang, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi:
Neuromorphic Camera Guided High Dynamic Range Imaging. CVPR 2020: 1727-1736 - [c2]Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu:
A Semi-Supervised Assessor of Neural Architectures. CVPR 2020: 1807-1816 - [c1]Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu:
SCOP: Scientific Control for Reliable Neural Network Pruning. NeurIPS 2020 - [i6]Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu:
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. CoRR abs/2002.11022 (2020) - [i5]Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
A Semi-Supervised Assessor of Neural Architectures. CoRR abs/2005.06821 (2020) - [i4]Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu:
SCOP: Scientific Control for Reliable Neural Network Pruning. CoRR abs/2010.10732 (2020) - [i3]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 abs/2012.12556 (2020)
2010 – 2019
- 2019
- [i2]Yehui Tang, Shan You, Chang Xu, Boxin Shi, Chao Xu:
Bringing Giant Neural Networks Down to Earth with Unlabeled Data. CoRR abs/1907.06065 (2019) - [i1]Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu:
RNAS: Architecture Ranking for Powerful Networks. CoRR abs/1910.01523 (2019)
Coauthor Index
[c32] [c30] [c29] [c28] [i44] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [j2] [c26] [c25] [c24] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [c23] [c22] [c21] [c20] [c19] [c18] [c16] [c15] [c14] [c13] [i22] [i20] [i19] [i18] [i17] [c11] [c10] [c8] [c7] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i8] [i7] [c6] [c4] [c2] [c1] [i6] [i5] [i4] [i3] [i1]
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