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2020 – today
- 2024
[j19]Wang Xunwei, Zhiyan Zhou, Chen Boqian, Jinfeng Zhong, Xiaolong Fan, Andrew J. Hewitt:
Distribution uniformity improvement methods of a large discharge rate disc spreader for UAV fertilizer application. Comput. Electron. Agric. 220: 108928 (2024)- [j18]Yongzhe Yuan
, Yue Wu, Mingyu Yue, Maoguo Gong, Xiaolong Fan, Wenping Ma, Qiguang Miao:
Learning Discriminative Features via Multi-Hierarchical Mutual Information for Unsupervised Point Cloud Registration. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8343-8354 (2024) - [j17]Yongzhe Yuan, Yue Wu, Jiayi Lei, Congying Hu, Maoguo Gong, Xiaolong Fan, Wenping Ma, Qiguang Miao:
Learning Compact Transformation Based on Dual Quaternion for Point Cloud Registration. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j16]Yue Wu, Jiaming Liu, Maoguo Gong, Peiran Gong, Xiaolong Fan, A. Kai Qin, Qiguang Miao, Wenping Ma:
Self-Supervised Intra-Modal and Cross-Modal Contrastive Learning for Point Cloud Understanding. IEEE Trans. Multim. 26: 1626-1638 (2024) - [j15]Yue Wu, Yue Zhang, Wenping Ma, Maoguo Gong, Xiaolong Fan, Mingyang Zhang, A. Kai Qin, Qiguang Miao:
RORNet: Partial-to-Partial Registration Network With Reliable Overlapping Representations. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15453-15466 (2024) - [j14]Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Wenping Ma, Qiguang Miao:
EGST: Enhanced Geometric Structure Transformer for Point Cloud Registration. IEEE Trans. Vis. Comput. Graph. 30(9): 6222-6234 (2024) - [c9]Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu:
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning. AAAI 2024: 11919-11926 - [c8]Meng Wu, Siyu Chen, Yuehui Ma, Xiaolong Fan, Chengbo Mou, Yunqi Liu:
High Sensitive Refractive Index Sensor Based on Dispersion Turning Point Long-Period Fiber Gratings in Tapered Fiber. CSNDSP 2024: 354-358 - [c7]Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma:
Inlier Confidence Calibration for Point Cloud Registration. CVPR 2024: 5312-5321 - [c6]Yue Wu, Xidao Hu, Yongzhe Yuan, Xiaolong Fan, Maoguo Gong, Hao Li, Mingyang Zhang, Qiguang Miao, Wenping Ma:
PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques. ICML 2024 - 2023
- [j13]Yue Wu, Jiaming Liu, Yongzhe Yuan, Xidao Hu, Xiaolong Fan, Kunkun Tu, Maoguo Gong, Qiguang Miao, Wenping Ma:
Correspondence-Free Point Cloud Registration Via Feature Interaction and Dual Branch [Application Notes]. IEEE Comput. Intell. Mag. 18(4): 66-79 (2023) - [j12]Xiaolong Fan, Maoguo Gong, Yue Wu:
Markov clustering regularized multi-hop graph neural network. Pattern Recognit. 139: 109518 (2023) - [j11]Yue Wu, Yue Zhang, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma:
INENet: Inliers Estimation Network With Similarity Learning for Partial Overlapping Registration. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1413-1426 (2023) - [j10]Yue Wu, Qianlin Yao, Xiaolong Fan, Maoguo Gong, Wenping Ma, Qiguang Miao:
PANet: A Point-Attention Based Multi-Scale Feature Fusion Network for Point Cloud Registration. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j9]Xiaolong Fan, Maoguo Gong, Yue Wu, A. Kai Qin, Yu Xie:
Propagation Enhanced Neural Message Passing for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(2): 1952-1964 (2023) - [j8]Xiaolong Fan, Maoguo Gong, Yue Wu, Hao Li:
Maximizing Mutual Information Across Feature and Topology Views for Representing Graphs. IEEE Trans. Knowl. Data Eng. 35(10): 10735-10747 (2023) - [i5]Yue Wu, Yongzhe Yuan, Xiaolong Fan, Xiaoshui Huang, Maoguo Gong, Qiguang Miao:
PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration. CoRR abs/2312.06063 (2023) - [i4]Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu:
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning. CoRR abs/2312.09498 (2023) - 2022
- [j7]Xiaolong Fan, Maoguo Gong, Zedong Tang, Yue Wu:
Deep Neural Message Passing With Hierarchical Layer Aggregation and Neighbor Normalization. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7172-7184 (2022) - [i3]Xiaolong Fan, Maoguo Gong, Yue Wu, Mingyang Zhang, Hao Li, Xiangming Jiang:
Towards Consistency and Complementarity: A Multiview Graph Information Bottleneck Approach. CoRR abs/2210.05676 (2022) - 2021
- [c5]Xiaolong Fan:
Design and Realization of Distance Intelligent Learning System Based on Bayesian Network Training. ICAIIS 2021: 279:1-279:7 - [i2]Xiaolong Fan, Maoguo Gong, Yue Wu, Hao Li:
Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations. CoRR abs/2105.06715 (2021) - 2020
- [j6]Fenlong Jiang, Maoguo Gong, Tao Zhan, Xiaolong Fan:
A Semisupervised GAN-Based Multiple Change Detection Framework in Multi-Spectral Images. IEEE Geosci. Remote. Sens. Lett. 17(7): 1223-1227 (2020) - [j5]Xiaolong Fan, Maoguo Gong, Yu Xie, Fenlong Jiang, Hao Li:
Structured self-attention architecture for graph-level representation learning. Pattern Recognit. 100: 107084 (2020) - [c4]Xiaolong Fan, Maoguo Gong, Hao Li, Yue Wu, Shanfeng Wang:
Gated Graph Pooling with Self-Loop for Graph Classification. IJCNN 2020: 1-7 - [i1]Michael Hewera, Ann-Christin Nickel, Nina Knipprath, Sajjad Muhammad, Xiaolong Fan, Hans-Jakob Steiger, Daniel Hänggi, Ulf Dietrich Kahlert:
Measures to increase value of preclinical research - an inexpensive and easy-to-implement approach to a QMS for an academic research lab. F1000Research 9: 660 (2020)
2010 – 2019
- 2019
- [j4]Yu Xie, Maoguo Gong, A. Kai Qin, Zedong Tang, Xiaolong Fan:
TPNE: Topology preserving network embedding. Inf. Sci. 504: 20-31 (2019) - 2016
- [c3]Jin Ye, Linjie Xing, Xiaolong Fan, Changzhi Song, Diping Song, Cai-Zhi Zhu, Yu Qiao:
Shenzhen Institutes of Advanced Technology, CAS, China at TRECVID INS 2016. TRECVID 2016
2000 – 2009
- 2009
- [j3]Xiaolong Fan, Brijesh K. Verma:
Selection and fusion of facial features for face recognition. Expert Syst. Appl. 36(3): 7157-7169 (2009) - 2008
- [j2]Michael M. Li, Brijesh K. Verma, Xiaolong Fan, Kevin Tickle:
RBF neural networks for solving the inverse problem of backscattering spectra. Neural Comput. Appl. 17(4): 391-397 (2008) - 2006
- [c2]Michael M. Li, Xiaolong Fan, Kevin Tickle:
Principal Component Analysis and Neural Networks for Analysis of Complex Spectral Data from Ion Backscattering. Artificial Intelligence and Applications 2006: 228-234 - 2005
- [c1]Michael M. Li, Xiaolong Fan, Brijesh K. Verma, Ron Balsys, John O'Connor:
Artificial neural network techniques for analysis of ion backscattering spectra. IC-AI 2005: 175-182 - 2002
- [j1]Xiaolong Fan, Brijesh K. Verma:
Segmentation Versus Non-Segmentation Based Neural Techniques for Cursive Word Recognition: An Experimental Analysis. Int. J. Comput. Intell. Appl. 2(4): 377-384 (2002)
Coauthor Index
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