Chen Lin

Affiliations:
  • SenseTime Research
  • University of Oxford, UK (former)


According to our database1, Chen Lin authored at least 26 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Self-consistent Validation for Machine Learning Electronic Structure.
CoRR, 2024

Revealing Decurve Flows for Generalized Graph Propagation.
CoRR, 2024

2023
Graph Inductive Biases in Transformers without Message Passing.
Proceedings of the International Conference on Machine Learning, 2023

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation.
Int. J. Comput. Vis., 2022

Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing.
CoRR, 2021

A Continuous Mapping For Augmentation Design.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Evolving Search Space for Neural Architecture Search.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GLiT: Neural Architecture Search for Global and Local Image Transformer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

BN-NAS: Neural Architecture Search with Batch Normalization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Inception Convolution With Efficient Dilation Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
DETR for Pedestrian Detection.
CoRR, 2020

PV-NAS: Practical Neural Architecture Search for Video Recognition.
CoRR, 2020

Adaptive Gradient Method with Resilience and Momentum.
CoRR, 2020

Once Quantized for All: Progressively Searching for Quantized Efficient Models.
CoRR, 2020

Improving Auto-Augment via Augmentation-Wise Weight Sharing.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Computation Reallocation for Object Detection.
Proceedings of the 8th International Conference on Learning Representations, 2020

Powering One-Shot Topological NAS with Stabilized Share-Parameter Proxy.
Proceedings of the Computer Vision - ECCV 2020, 2020

Improving One-Shot NAS by Suppressing the Posterior Fading.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
AM-LFS: AutoML for Loss Function Search.
CoRR, 2019

Online Hyper-parameter Learning for Auto-Augmentation Strategy.
CoRR, 2019

Online Hyper-Parameter Learning for Auto-Augmentation Strategy.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

AM-LFS: AutoML for Loss Function Search.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Synaptic Strength For Convolutional Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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