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ORCIDTong Lin 0002
Person information
- unicode name: 林通
- affiliation (PhD 2001): Peking University, School of Intelligence Science and Technology, Beijing, China
Other persons with the same name
- Tong Lin — disambiguation page
- Tong Lin 0001
![[0000-0002-8112-0439]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8112-0439")
— Nanyang Technological University of Singapore, School of Electrical and Electronic Engineering, Singapore - Tong Lin 0003 — State Grid Corporation of China, China
- Tong Lin 0004 — Nanjing University of Science and Technology, China
- Tong Lin 0005 — University of Michigan, MI, USA
- Tong Lin 0006 — National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
- Tong Lin 0007 — Shijiazhuang Tiedao University, Shijiazhuang, China
- Tong Lin 0008 — Southwest Jiaotong University, Chengdu, China
- Tong Lin 0009 — Carnegie Mellon University, Pittsburgh, PA, USA
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Journal Articles
- 2024
[j6]Zongpeng Zhang, Taoyun Ji, Mingqing Xiao, Wen Wang, Guojing Yu, Tong Lin, Yuwu Jiang, Xiaohua Zhou, Zhouchen Lin:
Cross-patient automatic epileptic seizure detection using patient-adversarial neural networks with spatio-temporal EEG augmentation. Biomed. Signal Process. Control. 89: 105664 (2024)- 2023
- [j5]Yucong Liu, Shixing Yu, Tong Lin:
Hessian regularization of deep neural networks: A novel approach based on stochastic estimators of Hessian trace. Neurocomputing 536: 13-20 (2023) - 2019
- [j4]Huamao Gu, Tong Lin, Xun Wang:
A preliminary geometric structure simplification for Principal Component Analysis. Neurocomputing 336: 46-55 (2019) - 2015
- [j3]Tong Lin, Hanlin Xue, Ling Wang, Bo Huang, Hongbin Zha:
Supervised learning via Euler's Elastica models. J. Mach. Learn. Res. 16: 3637-3686 (2015) - 2008
- [j2]Tong Lin, Hongbin Zha:
Riemannian Manifold Learning. IEEE Trans. Pattern Anal. Mach. Intell. 30(5): 796-809 (2008) - 2001
- [j1]Tong Lin, HongJiang Zhang, Qing-Yun Shi:
Video Content Representation for Shot Retrieval and Scene Extraction. Int. J. Image Graph. 1(3): 507-526 (2001)
Conference and Workshop Papers
- 2024
- [c25]Qianhan Feng, Lujing Xie, Shijie Fang, Tong Lin:
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning. AAAI 2024: 11970-11978 - 2023
- [c24]Zongpeng Zhang, Zenan Ling, Tong Lin, Zhouchen Lin:
Gradient Descent Optimizes Normalization-Free ResNets. IJCNN 2023: 1-8 - 2022
- [c23]Nan Ke, Tong Lin, Zhouchen Lin, Xiao-Hua Zhou, Taoyun Ji:
Convolutional Transformer Networks for Epileptic Seizure Detection. CIKM 2022: 4109-4113 - [c22]Xiaohan Zou, Tong Lin:
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation. IJCNN 2022: 1-8 - 2021
- [c21]Gen Ye, Tong Lin:
Channel Capacity of Neural Networks. ICANN (4) 2021: 253-265 - [c20]Zhiyi Chen, Tong Lin:
Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning. ICANN (2) 2021: 421-432 - [c19]Xuan Tang, Tong Lin:
Adversarial Variational Knowledge Distillation. ICANN (3) 2021: 558-569 - [c18]Shiqi Guo, Tong Lin:
An Efficient non-Backpropagation Method for Training Spiking Neural Networks. ICTAI 2021: 192-199 - [c17]Bo Li, Ling Bai, Yang Wang, Zhe Wu, Tong Lin:
A Supervisory Mask Attentional Network for Person Re-Identification in Uniform Dress Scenes. ICTAI 2021: 552-559 - [c16]Zhou Shao, Junyan Liu, Tong Lin:
Stochastic Euler Heavy Ball Method. ICTAI 2021: 590-597 - [c15]Nan Ke, Tong Lin, Zhouchen Lin:
Channel-Weighted Squeeze-and-Excitation Networks For Epileptic Seizure Detection. ICTAI 2021: 666-673 - [c14]Shijie Fang, Tong Lin:
Intra-Model Collaborative Learning of Neural Networks. IJCNN 2021: 1-7 - 2020
- [c13]Zhongyi Ji, Xiao Han, Tong Lin, Wenmin Wang:
A Dense-Gated U-Net for Brain Lesion Segmentation. VCIP 2020: 104-107 - 2017
- [c12]Yang Lin, Li Yang, Zhouchen Lin, Tong Lin, Hongbin Zha:
Factorization for projective and metric reconstruction via truncated nuclear norm. IJCNN 2017: 470-477 - 2012
- [c11]Tong Lin, Hanlin Xue, Ling Wang, Hongbin Zha:
Total Variation and Euler's Elastica for Supervised Learning. ICML 2012 - [c10]Tong Lin, Shi Liu, Hongbin Zha:
Incoherent dictionary learning for sparse representation. ICPR 2012: 1237-1240 - 2010
- [c9]Yangfeng Ji, Tong Lin, Hongbin Zha:
CDP Mixture Models for Data Clustering. ICPR 2010: 637-640 - 2009
- [c8]Yanlin Geng, Tong Lin, Zhouchen Lin, Pengwei Hao:
Refined Exponential Filter with Applications to Image Restoration and Interpolation. ACCV (3) 2009: 33-42 - [c7]Yangfeng Ji, Tong Lin, Hongbin Zha:
Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition. ICMLA 2009: 41-46 - 2008
- [c6]Tong Lin, Laura I. Cervino, Xiaoli Tang, Nuno Vasconcelos, Steve B. Jiang:
Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques. ICMLA 2008: 533-538 - [c5]Xiaoli Tang, Tong Lin, Steve B. Jiang:
Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy. ICMLA 2008: 551-555 - 2001
- [c4]Tong Lin, Chong-Wah Ngo, HongJiang Zhang, Qing-Yun Shi:
Integrating color and spatial features for content-based video retrieval. ICIP (3) 2001: 592-595 - [c3]Tong Lin, HongJiang Zhang, Qing-Yun Shi:
Video Scene Extraction by Force Competition. ICME 2001 - 2000
- [c2]Hao Jiang, Tong Lin, HongJiang Zhang:
Video Segmentation with the Assistance of Audio Content Analysis. IEEE International Conference on Multimedia and Expo (III) 2000: 1507-1510 - [c1]Tong Lin, HongJiang Zhang:
Automatic Video Scene Extraction by Shot Grouping. ICPR 2000: 4039-4042
Informal and Other Publications
- 2024
- [i7]Qianhan Feng, Lujing Xie, Shijie Fang, Tong Lin:
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning. CoRR abs/2403.12986 (2024) - [i6]Shijie Fang, Qianhan Feng, Tong Lin:
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning. CoRR abs/2404.11947 (2024) - 2022
- [i5]Yucong Liu, Shixing Yu, Tong Lin:
Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace. CoRR abs/2208.05924 (2022) - [i4]Xiaohan Zou, Tong Lin:
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation. CoRR abs/2210.00713 (2022) - 2021
- [i3]Shijie Fang, Tong Lin:
Intra-Model Collaborative Learning of Neural Networks. CoRR abs/2105.09590 (2021) - [i2]Zhiyi Chen, Tong Lin:
Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning. CoRR abs/2108.09592 (2021) - 2012
- [i1]Tong Lin, Hanlin Xue, Ling Wang, Hongbin Zha:
Total Variation and Euler's Elastica for Supervised Learning. CoRR abs/1206.4641 (2012)
Coauthor Index
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