Publications – Xuequan Lu

Selected Papers (will be updated soon)

	Classifying In-Place Gestures with End-to-End Point Cloud Learning L. Zhao, X. Lu, M. Zhao, M. Wang IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2021 [arXiv], [code], [bibTex]
	PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation Q. Gu, Q. Zhou, M. Xu, Z. Feng, G. Cheng, X. Lu†, J. Shi, L. Ma† International Conference on Computer Vision (ICCV) , 2021 [arXiv], [code], [bibTex]
	Explicit Facial Expression Transfer via Fine-Grained Representations Z. Shao, H. Zhu, J. Tang, X. Lu†, L. Ma† IEEE Transactions on Image Processing, 2021 [arXiv], [bibTex]
	Blur Removal via Blurred-Noisy Image Pair C. Gu, X. Lu, Y. He, C. Zhang IEEE Transactions on Image Processing, 2020 [arXiv], [bibTex]
	Mutual Information Driven Federated Learning M. Uddin, Y. Xiang, X. Lu, J. Yearwood, L. Gao IEEE Transactions on Parallel and Distributed Systems, 2020 [paper], [bibTex]
	Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling D. Zhang, X. Lu, H. Qin, Y. He ( joint first author)* IEEE Transactions on Visualization and Computer Graphics, 2020 [arXiv], [code], [bibTex]
	Low Rank Matrix Approximation for 3D Geometry Filtering X. Lu, S. Schaefer, J. Luo, L. Ma, Y. He IEEE Transactions on Visualization and Computer Graphics, 2020 [ResearchGate], [arXiv], [Xplore], [code], [supplementary], [bibTex]
	Deep Patch-based Human Segmentation D. Zhang, Z. Fang, X. Lu, H. Qin, A. Robles-Kelly, C. Zhang, Y. He The 27th International Conference on Neural Information Processing (ICONIP2020) [arXiv], [bibTex]
	Deep Feature-preserving Normal Estimation for Point Cloud Filtering D. Lu, X. Lu, Y. Sun, J. Wang ( joint first author)* Computer Aided Design, 2020 (Symposium on Solid and Physical Modeling 2020) [arXiv], [code], [bibTex]
	HLO: Half-kernel Laplacian Operator for Surface Smoothing W. Pan, X. Lu, Y. Gong, W. Tang, J. Liu, Y. He, G. Qiu Computer Aided Design, 2020 [arXiv], [EXE], [bibTex]
	3D Articulated Skeleton Extraction Using a Single Consumer-Grade Depth Camera X. Lu, Z. Deng, J. Luo, W. Chen, S.K. Yeung, Y. He Computer Vision and Image Understanding, 2019 [PDF], [Derivation_Material], [Results and EXE tool], [bibTex]
	Unsupervised Articulated Skeleton Extraction from Point Set Sequences Captured by a Single Depth Camera X. Lu, H. Chen, S.K. Yeung, Z. Deng, W. Chen The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-2018) [PDF], [Derivation_Material], [Results and EXE tool], [bibTex]
	GPF: GMM-inspired Feature-preserving Point Set Filtering X. Lu, S. Wu, H. Chen, S.K. Yeung, W. Chen, M. Zwicker IEEE Transactions on Visualization and Computer Graphics, 2017 [PDF], [VIDEO], [EXE(32bit)], [EXE(64bit)], [bibTex]
	Robust Mesh Denoising via Vertex Pre-filtering and L1-Median Normal Filtering X. Lu, W. Chen, S. Schaefer Computer Aided Geometric Design, 2017 [PDF], [VIDEO], [ComparewithOur], [bibTex]
	A Robust Scheme for Feature-preserving Mesh Denoising X. Lu, Z. Deng, W. Chen IEEE Transactions on Visualization and Computer Graphics, 2016 [PDF], [VIDEO], [DATA], [ComparewithOur], [bibTex]

Full list of papers

Notice: the publication list below may be incomplete due to delays. Refer to my Google Scholar for an up-to-date list. Most papers are also avaliable on ResearchGate.

Conference publications:
45. J Jiang, Q Zhou, Y Li, X Lu, X Zhao, M Wang, L Ma, J Chang, J Zhang. PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding, NeurIPS 2024.
44. F. Liu, H. Wang, J. Gong, R. Yi, Q. Zhou, X. Lu, J. Lu, L. Ma. Emphasizing Semantic Consistency of Salient Posture for Speech-Driven Gesture Generation. ACM Multimedia, 2024.
43. F. Zhou, Q. Zhou, B. Yin, H. Zheng, X. Lu, L. Ma, L. H. Rethinking Impersonation and Dodging Attacks on Face Recognition Systems. ACM Multimedia, 2024.
42. S Long, Q Zhou, X Li, X. Lu, C. Ying, Y. Luo, L. Ma, S. Yan. DGMamba: Domain Generalization via Generalized State Space Model. ACM Multimedia, 2024.
41. S. Fung, X. Lu, D. Edirimuni, W. Pan, X. Liu, H. Li. SemReg: Semantics Constrained Point Cloud Registration.European Conference on Computer Vision (ECCV), 2024.
40. J. Jiang, Q. Zhou, Y. Li, X. Lu, M. Wang, L. Ma, J. Chang, J. Zhang. DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding. European Conference on Computer Vision (ECCV), 2024.
39. R. Gong, Z. Zhang, X. Tian, Y. Qu, M. Wang, X. Lu, Y. Tang, X. Tan, Y. Xie. Prompt Grouping for Rehearsal-Free Continual Learning. European Conference on Computer Vision (ECCV), 2024.
38. W. Liu, X, Wang, H. Zhao, X. Xue, Z. Wu, Y. He, X. Lu. Consistent Point Orientation for Manifold Surfaces via Boundary Integration. Siggraph, 2024.
37. D. Edirimuni, X. Lu, G. Li, L. Wei, A. Robles-Kelly, H. Li. StraightPCF: Straight Point Cloud Filtering. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
36. Y. Song, Q. Zhou, X. Li, D. Fan, X. Lu, L. Ma. BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
35. Q. Zhou, K. Zhang, T. Yao, X. Lu, S. Ding, L. Ma. Test-Time Domain Generalization for Face Anti-Spoofing. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
34. J. Jiang, L. Zhao, X. Lu, W. Hu, I. Razzak, M. Wang. DHGCN: Dynamic Hop Graph Convolution Network for Self-supervised Point Cloud Learning. AAAI, 2024.
33. H. Chen, J. Ren, J. Gu, H. Wu, X. Lu, H. Cai, L. Zhu. Snow Removal in Video: A New Dataset and A Novel Method. International Conference on Computer Vision (ICCV), 2023.
32. Y. Hu, G. Yu, Y. Zhang, R. Feng, T. Zhang, X. Lu, S. Gao. Motion-Aware Video Paragraph Captioning via Exploring Object-Centered Internal Knowledge. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
31. W. Wang, X. Lu, D. Shao, X. Liu, R. Dazeley, A. Robles-Kelly, W. Pan. Weighted Point Cloud Normal Estimation. IEEE International Conference on Multimedia and Expo (ICME 2023), 2023.
30. DS. Edirimuni, X. Lu, Z. Shao, G. Li, A. Robles-Kelly, Y He. IterativePFN: True Iterative Point Cloud Filtering. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023.
29. Q. Zhou, K. Zhang, T. Yao, X. Lu, R. Yi, S. Ding, L. Ma. Instance-Aware Domain Generalization for Face Anti-Spoofing. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023.
28. Y. Chen, X. Tan, B. Zhao, Z. CHEN, R. Song, J. Liang, X. Lu. Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023.
27. X. Lu, L. Zhao, Q. Bao, M. Wang. In-Place Gestures Classification via Long-term Memory Augmented Network. IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2022.
26. H. Pan, J. Zhou, Y. Liu, X. Lu, W. Wang, X. Yan, M. Wei. SO(3)-Pose: Instance-level Object Pose Estimation via SO(3)-Equivariance Learning. Pacific Graphics, 2022.
25. F. Hu, H. Chen, X. Lu, Z. Zhu, J. Wang, W. Wang, F. Wang, M. Wei. SPCNet: Stepwise Point Cloud Completion Network. Pacific Graphics, 2022.
24. X. Li, J. Xu, Y. Zhang, R. Feng, R. Zhao, T Zhang, X. Lu, S. Gao. TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp Segmentation. The 31st International Joint Conference on Artificial Intelligence (ĲCAI 2022).
23. J. Xu, J. Hou, Y. Zhang, R. Feng, R. Zhao, T. Zhang, X. Lu, S. Gao. CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022).
22. C Chen, W Yuan, X Lu, L Ma. Spoof Face Detection Via Semi-Supervised Adversarial Training. The International Joint Conference on Neural Networks (ĲCNN 2022), 2022.
21. C. Zhuang, Q. Zhou, Q. Zhou, X. Lu, L. Ma. Domain Adaptive Semantic Segmentation with Regional Contrastive Consistency Regularization. IEEE International Conference on Multimedia and Expo (ICME 2022).
20. H. Jing, Y. Zhang, R. Feng, RW. Zhao, T. Zhang, X. Lu, S. Gao. Semantic-driven Saliency-Context Separation for Video Captioning. IEEE International Conference on Multimedia and Expo (ICME 2022).
19. Y. Xu, Y. Zhang, R. Feng, R. Zhao, T. Zhang, X. Lu, S. Gao. STDNet: Spatio-Temporal Decomposed Network for Video Grounding. IEEE International Conference on Multimedia and Expo (ICME 2022).
18. W. Wang, X. Lu, D. Edirimuni, X. Liu, A. Robles-Kelly. Deep Point Cloud Normal Estimation via Triplet Learning. IEEE International Conference on Multimedia and Expo (ICME 2022).
17. S. Fung, X. Lu, M. Mykolaitis. Anatomical Landmarks Localization for 3D Foot Point Clouds. ICONIP 2022, 2022.
16. Q. Gu, Q. Zhou, M. Xu, Z. Feng, G. Cheng, X. Lu, J. Shi, L. Ma. Pit: Position-invariant transform for cross-fov domain adaptation. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
15. L. Zhao, X. Lu, M. Zhao, M. Wang. Classifying In-Place Gestures with End-to-End Point Cloud Learning. IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2021.
14. X. Duan, M. Ge, THM. Le, F. Ullah, S. Gao, X. Lu, MA. Babar. Automated Security Assessment for the Internet of Things. The 26th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2021), 2021.
13. J. Mao, T. Li, F. Zhang, X. Lu, J. Chang and M. Wang. Bas-relief Layout Arrangement via Automatic Method Optimization. The 34th International Conference on Computer Animation and Social Agents (CASA 2021), 2021.
12. F. Sheldon, X. Lu, C. Zhang, C-T, Li. DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning. The International Joint Conference on Neural Networks (ĲCNN 2021), 2021.
11. Y. Pei, Z. Huang, W. Yu, M. Wang, X. Lu. A Cascaded Approach for Keyframes Extraction from Videos. International Conference on Computer Animation and Social Agents, 73-81, 2020.
10. D. Feng, X. Lu, X. Lin. Deep Detection for Face Manipulation. The 27th International Conference on Neural Information Processing (ICONIP 2020), 2020.
9. D. Zhang, Z. Fang, X. Lu, H. Qin, A. Robles-Kelly, C. Zhang and Y. He. Deep Patch-based Human Segmentation. The 27th International Conference on Neural Information Processing (ICONIP 2020), 2020.
8. C. Xu, W. Yu, Ya. Li, X. Lu, M. Wang and X. Yang. KeyFrame Extraction for Human Motion Capture Data via Multiple Binomial Fitting. The 33rd International Conference on Computer Animation and Social Agents (CASA 2020), 2020.
7. T. Nakane, X. Lu, C. Zhang. SHX: Search History Driven Crossover for Real-Coded Genetic Algorithm. GECCO, 2020.
6. C. Sitaula, Y. Xiang, A. Basnet, S. Aryal, X. Lu. HDF: Hybrid Deep Features for Scene Image Representation. The International Joint Conference on Neural Networks (ĲCNN 2020), 2020.
5. C. Sitaula, Y. Xiang, A. Basnet, S. Aryal, X. Lu, Tag-based Semantic Features for Scene Image Classification. The 26th International Conference on Neural Information Processing, 2019.
4. C. Sitaula, Y. Xiang, S. Aryal, X. Lu, Unsupervised Deep Features for Privacy Image Classification. The 9th Pacific-Rim Symposium on Image and Video Technology, 2019.
3. T. Nakane, T. Akashi, X. Lu, C. Zhang. A probabilistic bitwise genetic algorithm for B-spline based image deformation estimation. GECCO 2019, 2019.
2. X. Lu, H. Chen, S.K. Yeung, Z. Deng and W. Chen. Unsupervised Articulated Skeleton Extraction from Point Set Sequences Captured by a Single Depth Camera. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-2018), 2018.
1. X. Lu, W. Chen, et al. An accident-avoidance full velocity difference model for animating realistic street-level traffic in rural scenes. The 26th Conference on Computer Animation and Social Agents (CASA 2013), pp. 1-10, 2013.

Journal publications:
60. D. Shao, X. Lu, W. Wang, X. Liu, AS. Mian. TriCI: Triple Cross-Intra Branch Contrastive Learning for Point Cloud Analysis. IEEE Transactions on Visualization and Computer Graphics, 2024.
59. J. Wang, X. Lu, M. Wang, F. Hou, Y. He. Learning Implicit Fields for Point Cloud Filtering. IEEE Transactions on Visualization and Computer Graphics, 2024.
58. P. Geng, X. Lu, W Li, L Lyu. Hierarchical Aggregated Graph Neural Network for Skeleton-based Action Recognition. IEEE Transactions on Multimedia, 2024.
57. C. Pang, X. Lu, X. Liu, R. Zhang, L. Lyu. IIAM: Intra and Inter Attention with Mutual Consistency Learning Network for Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics, 2024.
56. T Li, P Geng, G Cai, X Hou, X Lu, L Lyu. Variation-aware directed graph convolutional networks for skeleton-based action recognition. Knowledge-Based Systems, 2024.
55. B. Yan, CT. Li, X. Lu. JRC: Deepfake detection via joint reconstruction and classification. Neurocomputing, 2024.
54. X. Hu, Y. Zhu, YF. Fu, Y. Fan, Y. Chen, D. Kim, X. Lu, B. Yu, YI. Chen. 3D-printed topological-structured electrodes with exceptional mechanical properties for high-performance flexible Li-ion batteries. Energy Storage Materials, 2024.
53. F. Liu, J. Gong, Q. Zhou, X. Lu, R. Yi, Y. Xie, L. Ma. Cloudmix: Dual mixup consistency for unpaired point cloud completion. IEEE Transactions on Visualization and Computer Graphics, 2024.
52. A. Qayyum, I. Razzak, M. Mazher, X. Lu, SA. Niederer. Unsupervised unpaired multiple fusion adaptation aided with self-attention generative adversarial network for scar tissues segmentation framework. Information Fusion, 2024.
51. K. Huang, Y. Huang, Y. Lin, K. Hua, M. Tanveer, X. Lu, I. Razzak. GRA:Graph Representation Alignment for Semi-Supervised Action Recognition. IEEE Transactions on Neural Networks and Learning Systems, 2023.
50. J. Jiang, X. Lu, L. Zhao, R. Dazaley, M. Wang. Masked autoencoders in 3d point cloud representation learning. IEEE Transactions on Multimedia, 2023.
49. MP. Uddin, Y. Xiang, B. Cai, X. Lu, J. Yearwood, L. Gao. ARFL: Adaptive and Robust Federated Learning. IEEE Transactions on Mobile Computing, 2023.
48. S. Prabhu, K. Prasad, X. Lu, A. Robels-Kelly, T. Hoang. Single-stage object detector with attention mechanism for squamous cell carcinoma feature detection using histopathological images. Multimedia Tools and Applications, 2023.
47. DS. Edirimuni, X. Lu, G. Li, A. Robles-Kelly. Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering. IEEE Transactions on Visualization and Computer Graphics, 2023.
46. Y. Yi, X. Lu, S. Gao, A. Robles-Kelly, Y. Zhang. Graph classification via discriminative edge feature learning. Pattern Recognition, 2023.
45. W. Wang, W. Pan, X. Liu, K. Su, B. Rolfe, X. Lu. Random screening-based feature aggregation for point cloud denoising. Computers & Graphics, 2023.
44. J. Jiang, X. Lu, W. Ouyang, M. Wang. Unsupervised contrastive learning with simple transformation for 3D point cloud data. The Visual Computer, 2023.
43. P. Geng, X. Lu, C. Hu, H. Liu and L. Lyu. Focusing Fine-Grained Action by Self-Attention-Enhanced Graph Neural Networks with Contrastive Learning. IEEE Transactions on Circuits and Systems for Video Technology, 2023.
42. U. Fang, J. Li, X. Lu, A. Mian, Z. Gu. Robust image clustering via context-aware contrastive graph learning. Pattern Recognition, 2023.
41. Q. Zhou, Q. Gu, J. Pang, X. Lu, L. Ma. Self-adversarial disentangling for specific domain adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
40. C. Pang, X. Lu, L. Lyu. Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks. IEEE Transactions on Multimedia, 2023.
39. Y. Jing, X. Lu, S. Gao. 3D Face Recognition: A Survey. Computational Visual Media, 2022.
38. Q. Zhou, Z. Feng, Q. Gu, J. Pang, G. Cheng, X. Lu, J. Shi, L. Ma. Context-aware mixup for domain adaptive semantic segmentation. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
37. J. Yang, X. Lu, W. Chen. A Robust Scheme for 3D Point Cloud Copy Detection. Neurcomputing, 2022.
36. M. Uddin, Y. Xiang, X. Lu, J. Yearwood, L. Gao. Federated Learning via Disentangled Information Bottleneck. IEEE Transactions on Services Computing, 2022.
35. F. Wang, X. Lu, L. Lyu. CGSNet: Contrastive Graph Self-attention Network for session-based recommendation. Knowledge-Based Systems, 2022.
34. D Shao, X Lu, X Liu. 3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-branch Learning. IEEE Journal of Biomedical and Health Informatics, 2022.
33. Q Zhou, Z Feng, Q Gu, G Cheng, X Lu, J Shi, L Ma. Uncertainty aware consistency regularization for cross-domain semantic segmentation. Computer Vision and Image Understanding, 2022.
32. Z. Feng, Q. Zhou, Q. Gu, X. Lu, G. Cheng, X. Lu, J. Shi, L. Ma. DMT: Dynamic Mutual Training for Semi-Supervised Learning. Pattern Recognition, 2022.
31. C. Gu, X. Lu, C. Zhang. Example-based Color Transfer with Gaussian Mixture Modeling. Pattern Recognition, 2022.
30. X. Qing, Y. Wang, X. Lu, H. Li, X. Wang, H. Li, X. Xie. NemaRec: A deep learning-based web application for nematode image identification and ecological indices calculation. European Journal of Soil Biology, 2022.
29. S. Prabhu, K. Prasad, A. Robels-Kelly, X. Lu. AI-based carcinoma detection and classification using histopathological images: A systematic review. Computers in Biology and Medicine, 2022.
28. S. Chen, J. Wang, W. Pan, S. Gao, M. Wang, X. Lu. Towards Uniform Point Distribution in Feature-preserving Point Cloud Filtering. Computational Visual Media, 2021.
27. J. Wang, J. Jiang, X. Lu, M. Wang. Rethinking Point Cloud Filtering: A Non-Local Position Based Approach. Computer-Aided Design, 2021.
26. C. Sitaula, S. Aryal, Y. Xiang, A. Basnet, X. Lu. Content and Context Features for Scene Image Representation. Knowledge-Based Systems, 2021.
25. Z. Shao, J. Cai, T. Cham, X. Lu, L. Ma. Unconstrained Facial Action Unit Detection via Latent Feature Domain. IEEE Transactions on Affective Computing, 2021.
24. C. Sitaula, Y. Xiang, S. Aryal, X. Lu. Scene Image Representation by Foreground, Background and Hybrid Features. Expert Systems With Applications, 2021.
23. C Gu, H Xie, X. Lu, C Zhang. CGMVAE: Coupling GMM Prior and GMM Estimator for Unsupervised Clustering and Disentanglement. IEEE Access, 2021.
22. U Fang, J Li, X. Lu, L Gao, M Ali, Y Xiang. Self-supervised Cross-Iterative Clustering for Unlabeled Plant Disease Images. Neurocomputing, 2021.
21. Z. Shao, H. Zhu, J. Tang, X. Lu, L. Ma. Explicit Facial Expression Transfer via Fine-Grained Representations. IEEE Transactions on Image Processing, 2021.
20. C. Gu, X. Lu, Y. He, C. Zhang. Kernel-Free Image Deblurring with a Pair of Blurred/Noisy Images. IEEE Transactions on Image Processing, 2020.
19. M. Uddin, Y. Xiang, X. Lu, J. Yearwood, L. Gao. Mutual Information Driven Federated Learning. IEEE Transactions on Parallel and Distributed Systems, 2020.
18. X. Lu, D. Zhang, H. Qin and Y. He. Pointfilter: Point Set Filtering via Encoder-Decoder Modeling. IEEE Transactions on Visualization and Computer Graphics, 2020.
17. X. Lu, S. Schaefer, Jun Luo, L. Ma and Y. He. Low Rank Matrix Approximation for Geometry Filtering. IEEE Transactions on Visualization and Computer Graphics, 2020.
16. G. Ou, G. Yu, C. Domeniconi, X. Lu, X. Zhang. Multi-label Zero Short Learning with Graph Convolutional Networks. Neural Networks, 2020.
15. T. Nakane, X. Lu, C Zhang. A Search History-Driven Offspring Generation Method for the Real-Coded Genetic Algorithm. Computational Intelligence and Neuroscience, 2020.
14. D. Lu, X. Lu, Y. Sun, J. Wang. Deep feature-preserving normal estimation for point cloud filtering. Computer-Aided Design, 2020.
13. C. Zhang, X. Lu and Takuya Akashi. Blur-Countering Keypoint Detection via Eigenvalue Asymmetry. IEEE Access, 2020.
12. C. Zhang, X. Lu, K. Hotta, X. Yang. G2MF-WA: Geometric multi-model fitting with weakly annotated data. Computational Visual Media, 2020.
11. X. Lu, Z. Deng, J. Luo, W. Chen, S.K. Yeung, Y. He. 3D articulated skeleton extraction using a single consumer-grade depth camera. Computer Vision and Image Understanding, 2019.
10. W. Pan, X. Lu, Y. Gong, W. Tang, J. Liu, Y. He and G. Qiu. HLO: Half-kernel Laplacian Operator for Surface Smoothing. Computer-Aided Design, 2019.
9. C. Sitaula, Y. Xiang, Y. Zhang, X. Lu, S. Aryal. Indoor Image Representation by High-Level Semantic Features. IEEE Access 7: 84967-84979 (2019).
8. X. Lu, S. Wu, H. Chen, S.K. Yeung, W. Chen, M. Zwicker. GPF: GMM-inspired Feature-preserving Point Set Filtering. IEEE Transactions on Visualization and Computer Graphics, 2017.
7. X. Lu, W. Chen, S. Schaefer. Robust Mesh Denoising via Vertex Pre-filtering and L1-Median Normal Filtering. Computer Aided Geometric Design, available online, ISSN 0167-8396, 2017.
6. X. Lu, X. Liu, Z. Deng, W. Chen. An Efficient Approach for Feature-preserving Mesh Denoising, Optics and Lasers in Engineering, 90: 186-195, 2017.
5. X. Lu, Z. Deng, W. Chen. A Robust Scheme for Feature-preserving Mesh Denoising. IEEE Transactions on Visualization and Computer Graphics. 22(3), 1181-1194, 2016.
4. X. Lu, Z. Wang, M. Xu, W. Chen and Z. Deng. A Personality Model for Animating Heterogeneous Traffic Behaviors. Computer Animation and Virtual Worlds, 25(3-4): 363-373, 2014.
3. X. Lu, W. Chen, M. Xu, Z. Wang, Z. Deng and Y. Ye. AA-FVDM: An Accident-avoidance Full Velocity Difference Model for Animating Realistic Street-level Traffic in Rural Scenes. Computer Animation and Virtual Worlds, 25(1): 83-97, 2014.
2. K. Su, Z. Wang, X. Lu, W. Chen. An Original-stream Based Solution for Smoothly Replaying High-definition Videos in Desktop Virtualization Systems. Journal of Visual Languages and Computing, 25(6): 676-683, 2014.
1. X. Lu, M. Xu, W. Chen, Z. Wang, and A.E. Rhalibi. Adaptive-AR Model with Drivers’ Prediction for Traffic Simulation. International Journal of Computer Games Technology, 2013: 8 pages, 2013.

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Xuequan Lu

Dr Xuequan Lu