Tong Lin

Affiliations:
  • Peking University, School of Intelligence Science and Technology, Beijing, China (PhD 2001)


According to our database1, Tong Lin authored at least 31 papers between 2000 and 2024.

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

Timeline

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Bibliography

2024
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Hessian regularization of deep neural networks: A novel approach based on stochastic estimators of Hessian trace.
Neurocomputing, June, 2023

Gradient Descent Optimizes Normalization-Free ResNets.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace.
CoRR, 2022

Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Convolutional Transformer Networks for Epileptic Seizure Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Intra-Model Collaborative Learning of Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

Stochastic Euler Heavy Ball Method.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

A Supervisory Mask Attentional Network for Person Re-Identification in Uniform Dress Scenes.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Channel-Weighted Squeeze-and-Excitation Networks For Epileptic Seizure Detection.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

An Efficient non-Backpropagation Method for Training Spiking Neural Networks.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Channel Capacity of Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Adversarial Variational Knowledge Distillation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
A Dense-Gated U-Net for Brain Lesion Segmentation.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

2019
A preliminary geometric structure simplification for Principal Component Analysis.
Neurocomputing, 2019

2017
Factorization for projective and metric reconstruction via truncated nuclear norm.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015
Supervised learning via Euler's Elastica models.
J. Mach. Learn. Res., 2015

2012
Incoherent dictionary learning for sparse representation.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Total Variation and Euler's Elastica for Supervised Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

2010
CDP Mixture Models for Data Clustering.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Refined Exponential Filter with Applications to Image Restoration and Interpolation.
Proceedings of the Computer Vision, 2009

2008
Riemannian Manifold Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2001
Video Content Representation for Shot Retrieval and Scene Extraction.
Int. J. Image Graph., 2001

Video Scene Extraction by Force Competition.
Proceedings of the 2001 IEEE International Conference on Multimedia and Expo, 2001

Integrating color and spatial features for content-based video retrieval.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Automatic Video Scene Extraction by Shot Grouping.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Video Segmentation with the Assistance of Audio Content Analysis.
Proceedings of the 2000 IEEE International Conference on Multimedia and Expo, 2000


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