Li Shen

Orcid: 0000-0002-2283-4976

Affiliations:
  • Alibaba Group, Beijing, China
  • Tencent AI Lab, Shenzhen, China
  • University of Oxford, Visual Geometry Group, UK (2016 - 2018)
  • Chinese Academy of Sciences, Beijing, China (PhD 2015)


According to our database1, Li Shen authored at least 38 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
High-Resolution Volumetric Reconstruction for Clothed Humans.
ACM Trans. Graph., October, 2023

DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation.
CoRR, 2023

DeSRF: Deformable Stylized Radiance Field.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration.
J. Mach. Learn. Res., 2022

Curriculum-based Asymmetric Multi-task Reinforcement Learning.
CoRR, 2022

Efficient-Adam: Communication-Efficient Distributed Adam with Complexity Analysis.
CoRR, 2022

Your3dEmoji: Creating Personalized Emojis via One-shot 3D-aware Cartoon Avatar Synthesis.
Proceedings of the SIGGRAPH Asia 2022 Technical Communications, 2022

Depth-Aware Generative Adversarial Network for Talking Head Video Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Quantized Adam with Error Feedback.
ACM Trans. Intell. Syst. Technol., 2021

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks.
CoRR, 2021

Structure-Regularized Attention for Deformable Object Representation.
CoRR, 2021

Attacking Adversarial Attacks as A Defense.
CoRR, 2021

Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search.
CoRR, 2021

Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Squeeze-and-Excitation Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

FedML: A Research Library and Benchmark for Federated Machine Learning.
CoRR, 2020

Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning.
CoRR, 2020

CPOT: Channel Pruning via Optimal Transport.
CoRR, 2020

Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A Sufficient Condition for Convergences of Adam and RMSProp.
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.
CoRR, 2018

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks.
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.
Proceedings of the 35th International Conference on Machine Learning, 2018

VGGFace2: A Dataset for Recognising Faces across Pose and Age.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Comparator Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

Squeeze-and-Excitation Networks.
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.
Proceedings of the 34th International Conference on Machine Learning, 2017

Adaptive Proximal Average Approximation for Composite Convex Minimization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2016, 2016

Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification.
IEEE Trans. Image Process., 2015

Learning Deep Convolutional Neural Networks for Places2 Scene Recognition.
CoRR, 2015

Adaptive Sharing for Image Classification.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Sharing model with multi-level feature representations.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013


  Loading...