| A deep learning-based segmentation method for brain tumor in MR images Z Xiao, R Huang, Y Ding, T Lan, RF Dong, Z Qin, X Zhang, W Wang 2016 IEEE 6th international conference on computational advances in bio and …, 2016 | 88 | 2016 |
| Unsupervised multi-discriminator generative adversarial network for lung nodule malignancy classification Y Kuang, T Lan, X Peng, GE Selasi, Q Liu, J Zhang Ieee Access 8, 77725-77734, 2020 | 29 | 2020 |
| Brain tumor segmentation with generative adversarial nets H Chen, Z Qin, Y Ding, T Lan 2019 2nd international conference on artificial intelligence and big data …, 2019 | 23 | 2019 |
| Combining multi-perspective attention mechanism with convolutional networks for monaural speech enhancement T Lan, Y Lyu, W Ye, G Hui, Z Xu, Q Liu IEEE Access 8, 78979-78991, 2020 | 19 | 2020 |
| Brain tumor segmentation using concurrent fully convolutional networks and conditional random fields G Shen, Y Ding, T Lan, H Chen, Z Qin Proceedings of the 3rd International Conference on Multimedia and Image …, 2018 | 15 | 2018 |
| Multi‐modal brain tumor image segmentation based on SDAE Y Ding, R Dong, T Lan, X Li, G Shen, H Chen, Z Qin International Journal of Imaging Systems and Technology 28 (1), 38-47, 2018 | 14 | 2018 |
| Multimodal medical image fusion using wavelet transform and human vision system T Lan, Z Xiao, Y Li, Y Ding, Z Qin 2014 International Conference on Audio, Language and Image Processing, 491-495, 2014 | 12 | 2014 |
| Embedding encoder-decoder with attention mechanism for monaural speech enhancement T Lan, W Ye, Y Lyu, J Zhang, Q Liu Ieee Access 8, 96677-96685, 2020 | 7 | 2020 |
| Idanet: An information distillation and aggregation network for speech enhancement W Tai, T Lan, Q Wang, Q Liu IEEE Signal Processing Letters 28, 1998-2002, 2021 | 6 | 2021 |
| MRI brain image segmentation based on Kerneled FCM algorithm and using image filtering method T Lan, Z Xiao, C Hu, Y Ding, Z Qin 2014 International Conference on Audio, Language and Image Processing, 511-515, 2014 | 6 | 2014 |
| Improved Speech Separation with Time-and-Frequency Cross-Domain Feature Selection. T Lan, Y Qian, Y Lyu, R Mokhosi, W Tai, Q Liu Interspeech, 3525-3529, 2021 | 5 | 2021 |
| Redundant convolutional network with attention mechanism for monaural speech enhancement T Lan, Y Lyu, G Hui, R Mokhosi, S Li, Q Liu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 5 | 2020 |
| Improving session-based recommendation with contrastive learning W Tai, T Lan, Z Wu, P Wang, Y Wang, F Zhou User Modeling and User-Adapted Interaction 33 (1), 1-42, 2023 | 4 | 2023 |
| Multi-scale informative perceptual network for monaural speech enhancement T Lan, J Li, Y Feng, W Tai, Y Wang, C Chen, J Kang, Q Liu Applied Acoustics 195, 108787, 2022 | 4 | 2022 |
| Multi-layer attention mechanism based speech separation model M Li, T Lan, C Peng, Y Qian, Q Liu 2019 IEEE 19th International Conference on Communication Technology (ICCT …, 2019 | 4 | 2019 |
| Brain tissue segmentation with the GKA method in MRI Z Qin, F Wang, Z Xiao, T Lan, Y Ding 2016 IEEE International Conference on Signal and Image Processing (ICSIP …, 2016 | 4 | 2016 |
| Foster strengths and circumvent weaknesses: a speech enhancement framework with two-branch collaborative learning W Tai, J Li, Y Wang, T Lan, Q Liu arXiv preprint arXiv:2110.05713, 2021 | 2 | 2021 |
| Improving Monaural Speech Enhancement with Dynamic Scene Perception Module T Lan, J Li, W Tai, C Chen, J Kang, Q Liu 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 1 | 2022 |
| Selective kernel network with intermediate supervision loss for monaural speech enhancement C Chen, Y Lyu, Y Wang, J Li, T Lan 2021 IEEE 21st International Conference on Communication Technology (ICCT …, 2021 | 1 | 2021 |
| Shortcut-Based Fully Convolutional Network for Speech Enhancement T Lan, Y Lyu, S Li, G Hui, Q Liu 2019 IEEE 19th International Conference on Communication Technology (ICCT …, 2019 | 1 | 2019 |
