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Tian Lan 0005
Person information
- affiliation: University of Electronic Science and Technology of China, School of Information and Software Engineering, Network and Data Security Key Laboratory of Sichuan Province, Chengdu, China
- affiliation (PhD 2009): University of Electronic Science and Technology of China (UESTC), Chengdu, China
Other persons with the same name
- Tian Lan — disambiguation page
- Tian Lan 0001 — George Washington University, Department of Electrical and Computer Engineering, Washington, DC, USA (and 1 more)
- Tian Lan 0002 — Beijing Institute of Technology, School of Information and Electronics, Key Laboratory of Electronic and Information Technology in Satellite Navigation, Beijing, China (and 2 more)
- Tian Lan 0003 — Beijing Institute of Technology, Department of Computer Science and Technology, Beijing, China
- Tian Lan 0004 — Southwest Jiaotong University, Faculty of Geosciences and Environmental Engineering, Chengdu, China (and 1 more)
- Tian Lan 0006 — Salesforce Research, Palo Alto, CA, USA (and 3 more)
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2020 – today
- 2024
- [j10]Piao Tong, Zhipeng Zhang, Qiao Liu, Xujiang Liu, Xu Luo, Huhao Ran, Tian Lan:
Interpretable prediction model for decoupling hot rough rolling camber-process parameters. Expert Syst. Appl. 256: 124872 (2024) - [i3]Changlin Li, Yanglei Gan, Tian Lan, Yuxiang Cai, Xueyi Liu, Run Lin, Qiao Liu:
DiffuTraj: A Stochastic Vessel Trajectory Prediction Approach via Guided Diffusion Process. CoRR abs/2410.09550 (2024) - 2023
- [j9]Wenxin Tai, Tian Lan, Zufeng Wu, Pengyu Wang, Yixiang Wang, Fan Zhou:
Improving session-based recommendation with contrastive learning. User Model. User Adapt. Interact. 33(1): 1-42 (2023) - [c17]Yao Liu, Le Zhou, Qiao Liu, Tian Lan, Xiaoyu Bai, Tinghao Zhou:
Semi-supervised Few-shot Network Intrusion Detection based on Meta-learning. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 495-502 - [c16]Yao Liu, Lu Liu, Qiao Liu, Tian Lan, Xiaoyu Bai, Le Zhou:
Unsupervised Mobile User Behavior Detection Based on Siamese Neural Networks. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 518-523 - 2022
- [c15]Tian Lan, Jiajia Li, Wenxin Tai, Cong Chen, Jun Kang, Qiao Liu:
Improving Monaural Speech Enhancement with Dynamic Scene Perception Module. ICME 2022: 1-6 - 2021
- [j8]Wenxin Tai, Tian Lan, Qianhui Wang, Qiao Liu:
IDANet: An Information Distillation and Aggregation Network for Speech Enhancement. IEEE Signal Process. Lett. 28: 1998-2002 (2021) - [c14]Cong Chen, Yilan Lyu, Yixiang Wang, Jiajia Li, Tian Lan:
Selective Kernel Network with Intermediate Supervision Loss for Monaural Speech Enhancement. ICCT 2021: 1330-1334 - [c13]Zufeng Wu, Tian Lan, Ruijin Wang, Xiaohua Wu, Qiao Liu:
"Golden Course" Construction of Software Engineering Basic Course Based on Blended Learning. ICPCSEE (2) 2021: 375-384 - [c12]Tian Lan, Yuxin Qian, Yilan Lyu, Refuoe Mokhosi, Wenxin Tai, Qiao Liu:
Improved Speech Separation with Time-and-Frequency Cross-Domain Feature Selection. Interspeech 2021: 3525-3529 - [i2]Wenxin Tai, Jiajia Li, Yixiang Wang, Tian Lan, Qiao Liu:
Foster Strengths and Circumvent Weaknesses: a Speech Enhancement Framework with Two-branch Collaborative Learning. CoRR abs/2110.05713 (2021) - 2020
- [j7]Yan Kuang, Tian Lan, Xueqiao Peng, Gati Elvis Selasi, Qiao Liu, Junyi Zhang:
Unsupervised Multi-Discriminator Generative Adversarial Network for Lung Nodule Malignancy Classification. IEEE Access 8: 77725-77734 (2020) - [j6]Tian Lan, Yilan Lyu, Wenzheng Ye, Guoqiang Hui, Zenglin Xu, Qiao Liu:
Combining Multi-Perspective Attention Mechanism With Convolutional Networks for Monaural Speech Enhancement. IEEE Access 8: 78979-78991 (2020) - [j5]Tian Lan, Wenzheng Ye, Yilan Lyu, Junyi Zhang, Qiao Liu:
Embedding Encoder-Decoder With Attention Mechanism for Monaural Speech Enhancement. IEEE Access 8: 96677-96685 (2020) - [j4]Hao Chen, Zhiguang Qin, Yi Ding, Tian Lan, Zhen Qin:
Brain tumor segmentation with deep convolutional symmetric neural network. Neurocomputing 392: 305-313 (2020) - [c11]Tian Lan, Yilan Lyu, Guoqiang Hui, Refuoe Mokhosi, Sen Li, Qiao Liu:
Redundant Convolutional Network With Attention Mechanism For Monaural Speech Enhancement. ICASSP 2020: 6654-6658 - [c10]Tian Lan, Yuxin Qian, Wenxin Tai, Boce Chu, Qiao Liu:
Deep Attractor with Convolutional Network for Monaural Speech Separation. UEMCON 2020: 40-44
2010 – 2019
- 2019
- [j3]Yi Ding, Chuanji Luo, Chang Li, Tian Lan, Zhiguang Qin:
High-order correlation detecting in features for diagnosis of Alzheimer's disease and mild cognitive impairment. Biomed. Signal Process. Control. 53 (2019) - [c9]Meng Li, Tian Lan, Chuan Peng, Yuxin Qian, Qiao Liu:
Multi-layer Attention Mechanism Based Speech Separation Model. ICCT 2019: 506-509 - [c8]Chuan Peng, Tian Lan, Yuxin Qian, Meng Li, Qiao Liu:
RefineNet-Based Speech Enhancement with Composite Metric Loss Training. ICCT 2019: 514-518 - [c7]Tian Lan, Yilan Lyu, Sen Li, Guoqiang Hui, Qiao Liu:
Shortcut-Based Fully Convolutional Network for Speech Enhancement. ICCT 2019: 525-529 - [c6]Tian Lan, Sen Li, Yilan Lyu, Chuan Peng, Qiao Liu:
An End-to-End Speech Enhancement Framework Using Stacked Multi-scale Blocks. ICCT 2019: 535-539 - 2018
- [j2]Yi Ding, Rongfeng Dong, Tian Lan, Xuerui Li, Guangyu Shen, Hao Chen, Zhiguang Qin:
Multi-modal brain tumor image segmentation based on SDAE. Int. J. Imaging Syst. Technol. 28(1): 38-47 (2018) - [c5]Guangyu Shen, Yi Ding, Tian Lan, Hao Chen, Zhiguang Qin:
Brain Tumor Segmentation Using Concurrent Fully Convolutional Networks and Conditional Random Fields. ICMIP 2018: 24-30 - [i1]Tian Lan, Yuanyuan Li, Jonah Kimani Murugi, Yi Ding, Zhiguang Qin:
RUN: Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection. CoRR abs/1805.11856 (2018) - 2017
- [j1]Zhe Xiao, Yi Ding, Tian Lan, Cong Zhang, Chuanji Luo, Zhiguang Qin:
Brain MR Image Classification for Alzheimer's Disease Diagnosis Based on Multifeature Fusion. Comput. Math. Methods Medicine 2017: 1952373:1-1952373:13 (2017) - 2016
- [c4]Zhe Xiao, Ruohan Huang, Yi Ding, Tian Lan, Rongfeng Dong, Zhiguang Qin, Xinjie Zhang, Wei Wang:
A deep learning-based segmentation method for brain tumor in MR images. ICCABS 2016: 1-6 - 2015
- [c3]Yi Ding, Cong Zhang, Tian Lan, Zhiguang Qin, Xinjie Zhang, Wei Wang:
Classification of Alzheimer's disease based on the combination of morphometric feature and texture feature. BIBM 2015: 409-412 - 2014
- [c2]Tian Lan, Zhe Xiao, Yi Li, Yi Ding, Zhiguang Qin:
Multimodal medical image fusion using wavelet transform and human vision system. ICAILP 2014: 491-495 - [c1]Tian Lan, Zhe Xiao, Changsong Hu, Yi Ding, Zhiguang Qin:
MRI brain image segmentation based on Kerneled FCM algorithm and using image filtering method. ICAILP 2014: 511-515
Coauthor Index
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last updated on 2024-12-15 02:19 CET by the dblp team
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