Li Shen

发表

Enhua Wu, Gang Sun, Samuel Albanie, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

VGGFace2: A Dataset for Recognising Faces across Pose and Age

Omkar M. Parkhi, Andrew Zisserman, O. Parkhi, 2017, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

Squeeze-and-Excitation Networks

Gang Sun, Jie Hu, Li Shen, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Few-Shot Adaptation of Pre-Trained Networks for Domain Shift

Chuan-Sheng Foo, Li Shen, Wenyu Zhang, 2022, ArXiv.

Few-Shot Adaptation of Pre-Trained Networks for Domain Shift

Chuan-Sheng Foo, Li Shen, Wenyu Zhang, 2022, International Joint Conference on Artificial Intelligence.

T HE U NREASONABLE E FFECTIVENESS OF R ANDOM P RUNING : R ETURN OF THE M OST N AIVE B ASELINE FOR S PARSE T RAINING

Li Shen, Zhangyang Wang, Mykola Pechenizkiy, 2022 .

Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning

Junchi Yan, Li Shen, Li Shen, 2022, ICML.

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation

Li Shen, Yanbo Fan, Baoyuan Wu, 2022, NeurIPS.

Towards harnessing feature embedding for robust learning with noisy labels

Li Shen, Chen Gong, Li Shen, 2022, Machine Learning.

Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification

Qingming Huang, Enhua Wu, Gang Sun, 2015, IEEE Transactions on Image Processing.

Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization

Qingming Huang, Gang Sun, Li Shen, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks pdf

Xiaohui Xie, Wenjun Zeng, Cuiling Lan, 2016, AAAI.

AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks

Guinan Su, Wei Liu, Zhifeng Li, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks

Qingming Huang, Li Shen, Zhouchen Lin, 2015, ECCV.

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks pdf

Gang Sun, Li Shen, Andrea Vedaldi, 2018, NeurIPS.

Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization

Li Shen, Baoyuan Wu, Yanbo Fan, 2023, ArXiv.

Streaming Radiance Fields for 3D Video Synthesis

Li Shen, Ping Tan, Lingzhi Li, 2022, NeurIPS.

Depth-Aware Generative Adversarial Network for Talking Head Video Generation

Li Shen, Dan Xu, Fa-Ting Hong, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation

Haishan Ye, Tong Zhang, Li Shen, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy

Li Shen, Mingda Zhang, Zihao Zhu, 2023, arXiv.org.

Comparator Networks

Li Shen, Andrew Zisserman, Weidi Xie, 2018, ECCV.

Structure-Regularized Attention for Deformable Object Representation pdf

Li Shen, Shenao Zhang, Wei Liu, 2021, ArXiv.

Squeeze-and-Excitation Networks

Jie Hu, Li Shen, Samuel Albanie, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

LGViT: Dynamic Early Exiting for Accelerating Vision Transformer

Li Shen, Han Hu, Guanyu Xu, 2023, ACM Multimedia.

Back Propagation

박현준, 차의영, 박현준, 1995, Artificial Neural Networks.

Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning

Li Shen, Lei Han, Li Shen, 2021, CoLLAs.