Video Segmentation with the Assistance of Audio Content Analysis. - Hao Jiang 007; Tong Lin 002; HongJiang Zhang (IEEE International Conference on Multimedia and Expo (III), 2000)

Automatic Video Scene Extraction by Shot Grouping. - Tong Lin 002; HongJiang Zhang (ICPR, 2000)

Integrating color and spatial features for content-based video retrieval. - Tong Lin 002; Chong-Wah Ngo; HongJiang Zhang; Qing-Yun Shi (ICIP (3), 2001)

Video Scene Extraction by Force Competition. - Tong Lin 002; HongJiang Zhang; Qing-Yun Shi (ICME, 2001)

Video Content Representation for Shot Retrieval and Scene Extraction. - Tong Lin 002; HongJiang Zhang; Qing-Yun Shi (Int. J. Image Graph., 2001)

Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques. - Tong Lin 002; Laura I. Cervino; Xiaoli Tang; Nuno Vasconcelos; Steve B. Jiang (ICMLA, 2008)

Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy. - Xiaoli Tang; Tong Lin 002; Steve B. Jiang (ICMLA, 2008)

Riemannian Manifold Learning. - Tong Lin 002; Hongbin Zha (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Refined Exponential Filter with Applications to Image Restoration and Interpolation. - Yanlin Geng; Tong Lin 002; Zhouchen Lin; Pengwei Hao (ACCV (3), 2009)

Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition. - Yangfeng Ji; Tong Lin 002; Hongbin Zha (ICMLA, 2009)

CDP Mixture Models for Data Clustering. - Yangfeng Ji; Tong Lin 002; Hongbin Zha (ICPR, 2010)

Total Variation and Euler's Elastica for Supervised Learning. - Tong Lin 002; Hanlin Xue; Ling Wang; Hongbin Zha (ICML, 2012)

Incoherent dictionary learning for sparse representation. - Tong Lin 002; Shi Liu; Hongbin Zha (ICPR, 2012)

Supervised learning via Euler's Elastica models. - Tong Lin 002; Hanlin Xue; Ling Wang; Bo Huang; Hongbin Zha (J. Mach. Learn. Res., 2015)

Factorization for projective and metric reconstruction via truncated nuclear norm. - Yang Lin; Li Yang; Zhouchen Lin; Tong Lin 002; Hongbin Zha (IJCNN, 2017)

A preliminary geometric structure simplification for Principal Component Analysis. - Huamao Gu; Tong Lin 002; Xun Wang 007 (Neurocomputing, 2019)

A Dense-Gated U-Net for Brain Lesion Segmentation. - Zhongyi Ji; Xiao Han; Tong Lin 002; Wenmin Wang 001 (VCIP, 2020)

Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning. - Zhiyi Chen; Tong Lin 002 (ICANN (2), 2021)

Adversarial Variational Knowledge Distillation. - Xuan Tang; Tong Lin 002 (ICANN (3), 2021)

Channel Capacity of Neural Networks. - Gen Ye; Tong Lin 002 (ICANN (4), 2021)

An Efficient non-Backpropagation Method for Training Spiking Neural Networks. - Shiqi Guo; Tong Lin 002 (ICTAI, 2021)

Channel-Weighted Squeeze-and-Excitation Networks For Epileptic Seizure Detection. - Nan Ke; Tong Lin 002; Zhouchen Lin (ICTAI, 2021)

A Supervisory Mask Attentional Network for Person Re-Identification in Uniform Dress Scenes. - Bo Li; Ling Bai; Yang Wang; Zhe Wu; Tong Lin 002 (ICTAI, 2021)

Stochastic Euler Heavy Ball Method. - Zhou Shao; Junyan Liu; Tong Lin 002 (ICTAI, 2021)

Intra-Model Collaborative Learning of Neural Networks. - Shijie Fang; Tong Lin 002 (IJCNN, 2021)

Convolutional Transformer Networks for Epileptic Seizure Detection. - Nan Ke; Tong Lin 002; Zhouchen Lin; Xiao-Hua Zhou; Taoyun Ji (CIKM, 2022)

Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation. - Xiaohan Zou; Tong Lin 002 (IJCNN, 2022)

Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace. - Yucong Liu; Shixing Yu; Tong Lin 002 (CoRR, 2022)

Gradient Descent Optimizes Normalization-Free ResNets. - Zongpeng Zhang; Zenan Ling; Tong Lin 002; Zhouchen Lin (IJCNN, 2023)

Hessian regularization of deep neural networks: A novel approach based on stochastic estimators of Hessian trace. - Yucong Liu; Shixing Yu; Tong Lin 002 (Neurocomputing, 2023)

BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning. - Qianhan Feng; Lujing Xie; Shijie Fang; Tong Lin 002 (AAAI, 2024)

VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning. - Shijie Fang; Qianhan Feng; Tong Lin 002 (IJCAI, 2024)

CTRF-GAN: A Generative Network for Image Inpainting Using CSWin Transformer and Fast Fourier Convolution Residual. - Hongcheng Wu; Guojun Lin; Tong Lin 002; Yanmei Zhu; Zhisun Wang; Haojie Diao (IEEE Access, 2024)

Cross-patient automatic epileptic seizure detection using patient-adversarial neural networks with spatio-temporal EEG augmentation. - Zongpeng Zhang; Taoyun Ji; Mingqing Xiao 002; Wen Wang; Guojing Yu; Tong Lin 002; Yuwu Jiang; Xiaohua Zhou; Zhouchen Lin (Biomed. Signal Process. Control., 2024)

Full-Stage Pseudo Label Quality Enhancement for Weakly-supervised Temporal Action Localization. - Qianhan Feng; Wenshuo Li; Tong Lin 002; Xinghao Chen 001 (CoRR, 2024)

Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Model. - Qianhan Feng; Wenshuo Li; Tong Lin 002; Xinghao Chen 001 (CoRR, 2024)

Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Large Model Enhancement. - Qianhan Feng; Wenshuo Li; Tong Lin 002; Xinghao Chen 001 (CVPR, 2025)

A new adaptive gradient method with gradient decomposition. - Zhou Shao; Hang Zhou; Tong Lin 002 (Mach. Learn., 2025)