Li Shen

According to our database, Li Shen authored at least 38 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation.

Fa-Ting Hong, Li Shen, Dan Xu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

2023

High-Resolution Volumetric Reconstruction for Clothed Humans.

Sicong Tang, Guangyuan Wang, Qing Ran, Lingzhi Li, Li Shen, Ping Tan

ACM Trans. Graph., October, 2023

DeSRF: Deformable Stylized Radiance Field.

Shiyao Xu, Lingzhi Li, Li Shen, Zhouhui Lian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning.

Shenao Zhang, Li Shen, Lei Han, Li Shen

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks.

Yuesong Tian, Li Shen, Li Shen, Guinan Su, Zhifeng Li, Wei Liu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration.

Congliang Chen, Li Shen, Fangyu Zou, Wei Liu

J. Mach. Learn. Res., 2022

Curriculum-based Asymmetric Multi-task Reinforcement Learning.

Hanchi Huang, Deheng Ye, Li Shen, Wei Liu

CoRR, 2022

Efficient-Adam: Communication-Efficient Distributed Adam with Complexity Analysis.

Congliang Chen, Li Shen, Wei Liu, Zhi-Quan Luo

CoRR, 2022

Your3dEmoji: Creating Personalized Emojis via One-shot 3D-aware Cartoon Avatar Synthesis.

Shiyao Xu, Lingzhi Li, Li Shen, Yifang Men, Zhouhui Lian

Proceedings of the SIGGRAPH Asia 2022 Technical Communications, 2022

Depth-Aware Generative Adversarial Network for Talking Head Video Generation.

Fa-Ting Hong, Longhao Zhang, Li Shen, Dan Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks.

Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan, Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman Avestimehr

CoRR, 2021

Structure-Regularized Attention for Deformable Object Representation.

Shenao Zhang, Li Shen, Zhifeng Li, Wei Liu

CoRR, 2021

Attacking Adversarial Attacks as A Defense.

Boxi Wu, Heng Pan, Li Shen, Jindong Gu, Shuai Zhao, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

CoRR, 2021

Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search.

Han Huang, Li Shen, Chaoyang He, Weisheng Dong, Haozhi Huang, Guangming Shi

CoRR, 2021

Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization.

Congliang Chen, Jiawei Zhang, Li Shen, Peilin Zhao, Zhi-Quan Luo

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Squeeze-and-Excitation Networks.

Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu

IEEE Trans. Pattern Anal. Mach. Intell., 2020

A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients.

Xiaojun Chen, Shu Yang, Li Shen, Xuanrong Pang

CoRR, 2020

FedML: A Research Library and Benchmark for Federated Machine Learning.

Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr

CoRR, 2020

Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning.

Jie An, Tao Li, Haozhi Huang, Li Shen, Xuan Wang, Yongyi Tang, Jinwen Ma, Wei Liu, Jiebo Luo

CoRR, 2020

CPOT: Channel Pruning via Optimal Transport.

Yucong Shen, Li Shen, Hao-Zhi Huang, Xuan Wang, Wei Liu

CoRR, 2020

Quantized Adam with Error Feedback.

Congliang Chen, Li Shen, Haozhi Huang, Wei Liu

CoRR, 2020

Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks.

Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang

Proceedings of the 37th International Conference on Machine Learning, 2020

MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation.

Chaoyang He, Haishan Ye, Li Shen, Tong Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Sufficient Condition for Convergences of Adam and RMSProp.

Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

On the Convergence of AdaGrad with Momentum for Training Deep Neural Networks.

Fangyu Zou, Li Shen

CoRR, 2018

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

Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method.

Li Shen, Peng Sun, Yitong Wang, Wei Liu, Tong Zhang

Proceedings of the 35th International Conference on Machine Learning, 2018

VGGFace2: A Dataset for Recognising Faces across Pose and Age.

Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, Andrew Zisserman

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Comparator Networks.

Weidi Xie, Li Shen, Andrew Zisserman

Proceedings of the Computer Vision - ECCV 2018, 2018

Squeeze-and-Excitation Networks.

Jie Hu, Li Shen, Gang Sun

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization.

Li Shen, Wei Liu, Ganzhao Yuan, Shiqian Ma

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks.

Li Shen, Zhouchen Lin, Qingming Huang

Proceedings of the Computer Vision - ECCV 2016, 2016

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

Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

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

Li Shen, Gang Sun, Qingming Huang, Shuhui Wang, Zhouchen Lin, Enhua Wu

IEEE Trans. Image Process., 2015

Learning Deep Convolutional Neural Networks for Places2 Scene Recognition.

Li Shen, Zhouchen Lin, Qingming Huang

CoRR, 2015

Adaptive Sharing for Image Classification.

Li Shen, Gang Sun, Zhouchen Lin, Qingming Huang, Enhua Wu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Sharing model with multi-level feature representations.

Li Shen, Gang Sun, Shuhui Wang, Enhua Wu, Qingming Huang

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization.

Li Shen, Shuhui Wang, Gang Sun, Shuqiang Jiang, Qingming Huang

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013