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2020 – today
- 2024
[j11]Na Liu, Ye Yuan, Guodong Wu, Sai Zhang, Jie Leng, Lihong Wan:
Multi-label remote sensing classification with self-supervised gated multi-modal transformers. Frontiers Comput. Neurosci. 18 (2024)- [j10]Ze He
, Shihua Li, Minghui Chang, Yuting Liu, Kaitong Liu, Lihong Wan, Yong Wang:
Novel Harmonic-Based Scheme for Mapping Rice-Crop Intensity at a Large Scale Using Time-Series Sentinel-1 and ERA5-Land Datasets. IEEE Trans. Geosci. Remote. Sens. 62: 1-23 (2024) - 2023
- [j9]Na Liu, Jiaqi Wang, Yongtong Zhu, Lihong Wan, Qingdu Li:
Improving imbalance classification via ensemble learning based on two-stage learning. Frontiers Comput. Neurosci. 17 (2023) - [c10]Xiangqian Chen, Di Liu, Lihong Wan, Simone Baldi:
A Low-Computation Approach to Point Cloud Filtering via Lidar and Camera Fusion. ICDL 2023: 486-491 - [c9]Ruoshi Li, Xin Xu, Lihong Wan, Qingdu Li, Ye Yuan, Na Liu:
Autoencoder Induced Deep Spiking Neural Network. ICIAI 2023: 147-153 - [c8]Shihua Li, Yuhan Liu, Shunda Zhao, Lihong Wan:
An Individual Tree Segmentation Algorithm Without Prior-Knowledge Based on Airborne Lidar Data. IGARSS 2023: 3225-3228 - [c7]Lihong Wan, Shihua Li, Zhilin Tian, Yanli Shi:
A Branch and Leaf Separation Method based on Near Infrared Band UAV-LiDAR Data. IGARSS 2023: 3284-3287 - 2021
- [j8]Na Liu, Lihong Wan, Qiao Huang, Yunfeng Ji:
Multi-view Deep Representations with Cross-Dataset Transfer for Remote Sensing Image Retrieval and Classification. Multim. Tools Appl. 80(15): 22891-22905 (2021) - 2020
- [j7]Na Liu, Tao Zhou, Yunfeng Ji, Ziyi Zhao, Lihong Wan:
Synthesizing Talking Faces from Text and Audio: An Autoencoder and Sequence-to-Sequence Convolutional Neural Network. Pattern Recognit. 102: 107231 (2020)
2010 – 2019
- 2019
- [c6]Qiankun Ye, Xiankai Lu, Hong Huo, Lihong Wan, Yiyou Guo, Tao Fang:
AggregationNet: Identifying Multiple Changes Based on Convolutional Neural Network in Bitemporal Optical Remote Sensing Images. PAKDD (3) 2019: 375-386 - 2018
- [j6]Na Liu, Lihong Wan, Yu Zhang, Tao Zhou, Hong Huo, Tao Fang:
Exploiting Convolutional Neural Networks With Deeply Local Description for Remote Sensing Image Classification. IEEE Access 6: 11215-11228 (2018) - [j5]Na Liu, Xiankai Lu, Lihong Wan, Hong Huo, Tao Fang:
Improving the Separability of Deep Features with Discriminative Convolution Filters for RSI Classification. ISPRS Int. J. Geo Inf. 7(3): 95 (2018) - [j4]Xiankai Lu, Yiyou Guo, Na Liu, Lihong Wan, Tao Fang:
Non-convex joint bilateral guided depth upsampling. Multim. Tools Appl. 77(12): 15521-15544 (2018) - [c5]Na Liu, Ye Yuan, Lihong Wan, Hong Huo, Tao Fang:
A Comparative Study for Contour Detection Using Deep Convolutional Neural Networks. ICMLC 2018: 203-208 - 2017
- [j3]Lihong Wan, Hong Huo, Tao Fang:
Age and gender classification in the wild with unsupervised feature learning. J. Electronic Imaging 26(2): 23007 (2017) - [j2]Lihong Wan, Laiwen Zheng, Hong Huo, Tao Fang:
Affine Invariant Description and Large-Margin Dimensionality Reduction for Target Detection in Optical Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 14(7): 1116-1120 (2017) - [j1]Qingyang Hong, Lin Li, Jun Zhang, Lihong Wan, Huiyang Guo:
Transfer learning for PLDA-based speaker verification. Speech Commun. 92: 90-99 (2017) - 2016
- [c4]Qingyang Hong, Jun Zhang, Lin Li, Lihong Wan, Feng Tong:
A transfer learning method for PLDA-based speaker verification. ICASSP 2016: 5455-5459 - [c3]Qingyang Hong, Lin Li, Lihong Wan, Jun Zhang, Feng Tong:
Transfer Learning for Speaker Verification on Short Utterances. INTERSPEECH 2016: 1848-1852 - 2015
- [c2]Qingyang Hong, Lin Li, Ming Li, Ling Huang, Lihong Wan, Jun Zhang:
Modified-prior PLDA and score calibration for duration mismatch compensation in speaker recognition system. INTERSPEECH 2015: 1037-1041 - 2014
- [c1]Laiwen Zheng, Lihong Wan, Hong Huo, Tao Fang:
A noise removal approach for object-based classification of VHR imagery via post-classification. ICAILP 2014: 915-920
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