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2020 – today
- 2024
[j12]Shaohui Lin
, Bo Ji, Rongrong Ji, Angela Yao:
A closer look at branch classifiers of multi-exit architectures. Comput. Vis. Image Underst. 239: 103900 (2024)- [j11]Jiale Lu, Lianggangxu Chen, Haoyue Guan, Shaohui Lin, Chunhua Gu, Changbo Wang, Gaoqi He:
Improving rare relation inferring for scene graph generation using bipartite graph network. Comput. Vis. Image Underst. 239: 103901 (2024) - [j10]Yinqi Zhang, Lingfu Jiang, Fuhai Chen, Jiao Xie, Baochang Zhang, Gaoqi He, Shaohui Lin:
SegCFT: Context-aware Fourier Transform for efficient semantic segmentation. Neurocomputing 596: 127946 (2024) - [j9]Zhizhong Zhang, Yuan Xie, Chong Zhang, Yanbo Wang, Yanyun Qu, Shaohui Lin, Lizhuang Ma, Qi Tian:
Dynamic image super-resolution via progressive contrastive self-distillation. Pattern Recognit. 153: 110502 (2024) - [j8]Mengtian Li, Shaohui Lin, Zihan Wang, Yunhang Shen, Baochang Zhang, Lizhuang Ma:
Class-imbalanced semi-supervised learning for large-scale point cloud semantic segmentation via decoupling optimization. Pattern Recognit. 156: 110701 (2024) - [c39]Lianggangxu Chen, Youqi Song, Shaohui Lin, Changbo Wang, Gaoqi He:
Kumaraswamy Wavelet for Heterophilic Scene Graph Generation. AAAI 2024: 1138-1146 - [c38]Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao:
Weakly Supervised Open-Vocabulary Object Detection. AAAI 2024: 3404-3412 - [c37]Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin:
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space. AAAI 2024: 13709-13717 - [c36]Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang:
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. AAAI 2024: 15598-15606 - [c35]Bin Ren, Yawei Li, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, Zhengjun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Qian Wang, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Emad Barsoum, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo Wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, Yuhan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Qian Wang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. CVPR Workshops 2024: 6595-6631 - [c34]Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji:
Aligning and Prompting Everything All at Once for Universal Visual Perception. CVPR 2024: 13193-13203 - [c33]Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin:
A General and Efficient Training for Transformer via Token Expansion. CVPR 2024: 15783-15792 - [c32]Lianggangxu Chen, Xuejiao Wang, Jiale Lu, Shaohui Lin, Changbo Wang, Gaoqi He:
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning. CVPR 2024: 27863-27873 - [c31]Zikai Zhou, Yunhang Shen, Shitong Shao, Linrui Gong, Shaohui Lin:
Rethinking Centered Kernel Alignment in Knowledge Distillation. IJCAI 2024: 5680-5688 - [i30]Mengtian Li, Shaohui Lin, Zihan Wang, Yunhang Shen, Baochang Zhang, Lizhuang Ma:
Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization. CoRR abs/2401.06975 (2024) - [i29]Zikai Zhou, Yunhang Shen, Shitong Shao, Huanran Chen, Linrui Gong, Shaohui Lin:
Rethinking Centered Kernel Alignment in Knowledge Distillation. CoRR abs/2401.11824 (2024) - [i28]Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin:
A General and Efficient Training for Transformer via Token Expansion. CoRR abs/2404.00672 (2024) - [i27]Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu:
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution. CoRR abs/2404.02573 (2024) - [i26]Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Yunshuai Zhou, Zhijun Tu, Jie Hu, Shaohui Lin:
LIPT: Latency-aware Image Processing Transformer. CoRR abs/2404.06075 (2024) - [i25]Wenhao Dong, Haodong Zhu, Shaohui Lin, Xiaoyan Luo, Yunhang Shen, Xuhui Liu, Juan Zhang, Guodong Guo, Baochang Zhang:
Fusion-Mamba for Cross-modality Object Detection. CoRR abs/2404.09146 (2024) - [i24]Bin Ren, Yawei Li, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, Zhengjun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Qian Wang, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Emad Barsoum, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo Wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, Yuhan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long:
The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. CoRR abs/2404.10343 (2024) - [i23]Chaoyou Fu, Yuhan Dai, Yondong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Rongrong Ji, Xing Sun:
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. CoRR abs/2405.21075 (2024) - [i22]Liujuan Cao, Jianghang Lin, Zebo Hong, Yunhang Shen, Shaohui Lin, Chao Chen, Rongrong Ji:
HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection. CoRR abs/2406.19394 (2024) - 2023
- [j7]Jiao Xie, Shaohui Lin, Yichen Zhang, Linkai Luo:
Compressing convolutional neural networks with cheap convolutions and online distillation. Displays 78: 102428 (2023) - [j6]Jiao Xie, Linrui Gong, Shitong Shao, Shaohui Lin, Linkai Luo:
Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution. Neurocomputing 554: 126592 (2023) - [j5]Nan Wang, Shaohui Lin, Xiaoxiao Li, Ke Li, Yunhang Shen, Yue Gao, Lizhuang Ma:
MISSU: 3D Medical Image Segmentation via Self-Distilling TransUNet. IEEE Trans. Medical Imaging 42(9): 2740-2750 (2023) - [c30]Yiqing Cai, Lianggangxu Chen, Haoyue Guan, Shaohui Lin, Changhong Lu, Changbo Wang, Gaoqi He:
Explicit Invariant Feature Induced Cross-Domain Crowd Counting. AAAI 2023: 259-267 - [c29]Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma:
Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation. AAAI 2023: 7731-7739 - [c28]Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen:
An Online Control Approach of Collaborative Federated Learning with Constrained Resources. APNet 2023: 211-212 - [c27]Ziqing Li, Yang Li, Shaohui Lin:
RAGT: Learning Robust Features for Occluded Human Pose and Shape Estimation with Attention-Guided Transformer. CAD/Graphics 2023: 329-347 - [c26]Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang:
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning. CVPR 2023: 3654-3663 - [c25]Nan Wang, Chengwei Chen, Lizhuang Ma, Shaohui Lin:
Latent Feature Regularization based Adversarial Network for Brain Tumor Anomaly Detection. ICME 2023: 954-959 - [c24]Jiale Lu, Lianggangxu Chen, Youqi Song, Shaohui Lin, Changbo Wang, Gaoqi He:
Prior Knowledge-driven Dynamic Scene Graph Generation with Causal Inference. ACM Multimedia 2023: 4877-4885 - [c23]Xiangchuang Chen, Yunhang Shen, Xuan Luo, Yan Zhang, Ke Li, Shaohui Lin:
Classifier Decoupled Training for Black-Box Unsupervised Domain Adaptation. PRCV (3) 2023: 16-30 - [c22]Chong Huang, Shaohui Lin, Yan Zhang, Ke Li, Baochang Zhang:
Data-Free Low-Bit Quantization via Dynamic Multi-teacher Knowledge Distillation. PRCV (8) 2023: 28-41 - [c21]Jie Guo, Qimeng Wang, Yan Gao, Xiaolong Jiang, Shaohui Lin, Baochang Zhang:
MVP-SEG: Multi-view Prompt Learning for Open-Vocabulary Semantic Segmentation. PRCV (12) 2023: 158-171 - [c20]Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen:
EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning. SECON 2023: 411-419 - [i21]Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang:
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning. CoRR abs/2305.11488 (2023) - [i20]Shaohui Lin, Wenxuan Huang, Jiao Xie, Baochang Zhang, Yunhang Shen, Zhou Yu, Jungong Han, David S. Doermann:
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler. CoRR abs/2307.00198 (2023) - [i19]Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji:
Aligning and Prompting Everything All at Once for Universal Visual Perception. CoRR abs/2312.02153 (2023) - [i18]Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin:
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space. CoRR abs/2312.08200 (2023) - [i17]Chaoyou Fu, Renrui Zhang, Zihan Wang, Yubo Huang, Zhengye Zhang, Longtian Qiu, Gaoxiang Ye, Yunhang Shen, Mengdan Zhang, Peixian Chen, Sirui Zhao, Shaohui Lin, Deqiang Jiang, Di Yin, Peng Gao, Ke Li, Hongsheng Li, Xing Sun:
A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise. CoRR abs/2312.12436 (2023) - [i16]Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao:
Weakly Supervised Open-Vocabulary Object Detection. CoRR abs/2312.12437 (2023) - 2022
- [c19]Chengwei Chen, Yuan Xie, Shaohui Lin, Angela Yao, Guannan Jiang, Wei Zhang, Yanyun Qu, Ruizhi Qiao, Bo Ren, Lizhuang Ma:
Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection. AAAI 2022: 230-238 - [c18]Mengtian Li, Yuan Xie, Yunhang Shen, Bo Ke, Ruizhi Qiao, Bo Ren, Shaohui Lin, Lizhuang Ma:
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization. CVPR 2022: 14910-14919 - [c17]Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen:
DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. ECCV (26) 2022: 237-253 - [c16]Haiyan Wu, Yuting Gao, Yinqi Zhang, Shaohui Lin, Yuan Xie, Xing Sun, Ke Li:
Self-supervised Models are Good Teaching Assistants for Vision Transformers. ICML 2022: 24031-24042 - [i15]Shaohui Lin, Bo Ji, Rongrong Ji, Angela Yao:
A Closer Look at Branch Classifiers of Multi-exit Architectures. CoRR abs/2204.13347 (2022) - [i14]Nan Wang, Shaohui Lin, Xiaoxiao Li, Ke Li, Yunhang Shen, Yue Gao, Lizhuang Ma:
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet. CoRR abs/2206.00902 (2022) - [i13]Junbo Qiao, Shaohui Lin, Yunlun Zhang, Wei Li, Jie Hu, Gaoqi He, Changbo Wang, Lizhuang Ma:
DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution. CoRR abs/2212.07613 (2022) - 2021
- [c15]Xudong Tian, Zhizhong Zhang, Shaohui Lin, Yanyun Qu, Yuan Xie, Lizhuang Ma:
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification. CVPR 2021: 1522-1531 - [c14]Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji:
Towards Compact CNNs via Collaborative Compression. CVPR 2021: 6438-6447 - [c13]Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, Lizhuang Ma:
Contrastive Learning for Compact Single Image Dehazing. CVPR 2021: 10551-10560 - [c12]Pan Chen, Shaohui Lin, Yongxiang Zhang, Jiachen Xu, Xin Tan, Lizhuang Ma:
Self-supervised Compressed Video Action Recognition via Temporal-Consistent Sampling. ICONIP (4) 2021: 237-249 - [c11]Chengwei Chen, Yuan Xie, Shaohui Lin, Ruizhi Qiao, Jian Zhou, Xin Tan, Yi Zhang, Lizhuang Ma:
Novelty Detection via Contrastive Learning with Negative Data Augmentation. IJCAI 2021: 606-614 - [c10]Xuncheng Liu, Xudong Tian, Shaohui Lin, Yanyun Qu, Lizhuang Ma, Wang Yuan, Zhizhong Zhang, Yuan Xie:
Learn from Concepts: Towards the Purified Memory for Few-shot Learning. IJCAI 2021: 888-894 - [c9]Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao:
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation. IJCAI 2021: 1122-1128 - [i12]Xudong Tian, Zhizhong Zhang, Shaohui Lin, Yanyun Qu, Yuan Xie, Lizhuang Ma:
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification. CoRR abs/2104.02862 (2021) - [i11]Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, Lizhuang Ma:
Contrastive Learning for Compact Single Image Dehazing. CoRR abs/2104.09367 (2021) - [i10]Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji:
Towards Compact CNNs via Collaborative Compression. CoRR abs/2105.11228 (2021) - [i9]Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao:
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation. CoRR abs/2105.11683 (2021) - [i8]Chengwei Chen, Yuan Xie, Shaohui Lin, Ruizhi Qiao, Jian Zhou, Xin Tan, Yi Zhang, Lizhuang Ma:
Novelty Detection via Contrastive Learning with Negative Data Augmentation. CoRR abs/2106.09958 (2021) - 2020
- [j4]Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li:
Toward Compact ConvNets via Structure-Sparsity Regularized Filter Pruning. IEEE Trans. Neural Networks Learn. Syst. 31(2): 574-588 (2020) - [c8]Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji:
PAMS: Quantized Super-Resolution via Parameterized Max Scale. ECCV (25) 2020: 564-580 - [c7]Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao:
Interpretable Neural Network Decoupling. ECCV (15) 2020: 653-669 - [c6]Moritz Wolter, Shaohui Lin, Angela Yao:
Neural Network Compression via Learnable Wavelet Transforms. ICANN (2) 2020: 39-51 - [i7]Moritz Wolter, Shaohui Lin, Angela Yao:
Towards deep neural network compression via learnable wavelet transforms. CoRR abs/2004.09569 (2020) - [i6]Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji:
PAMS: Quantized Super-Resolution via Parameterized Max Scale. CoRR abs/2011.04212 (2020)
2010 – 2019
- 2019
- [j3]Zongyue Wang, Shaohui Lin, Jiao Xie, Yangbin Lin:
Pruning Blocks for CNN Compression and Acceleration via Online Ensemble Distillation. IEEE Access 7: 175703-175716 (2019) - [j2]Shaohui Lin, Rongrong Ji, Chao Chen, Dacheng Tao, Jiebo Luo:
Holistic CNN Compression via Low-Rank Decomposition with Knowledge Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 2889-2905 (2019) - [c5]Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann:
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. CVPR 2019: 2790-2799 - [c4]Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. CVPR 2019: 2800-2809 - [i5]Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li:
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning. CoRR abs/1901.07827 (2019) - [i4]Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann:
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. CoRR abs/1903.09291 (2019) - [i3]Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao:
Dynamic Neural Network Decoupling. CoRR abs/1906.01166 (2019) - [i2]Jiao Xie, Shaohui Lin, Yichen Zhang, Linkai Luo:
Training convolutional neural networks with cheap convolutions and online distillation. CoRR abs/1909.13063 (2019) - 2018
- [c3]Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang:
Accelerating Convolutional Networks via Global & Dynamic Filter Pruning. IJCAI 2018: 2425-2432 - [i1]Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. CoRR abs/1812.04368 (2018) - 2017
- [c2]Shaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang:
ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy. AAAI 2017: 1424-1430 - 2016
- [j1]Shaohui Lin, Ling Cai, Xianming Lin, Rongrong Ji:
Masked face detection via a modified LeNet. Neurocomputing 218: 197-202 (2016) - [c1]Shaohui Lin, Rongrong Ji, Xiaowei Guo, Xuelong Li:
Towards Convolutional Neural Networks Compression via Global Error Reconstruction. IJCAI 2016: 1753-1759
Coauthor Index
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