Dr Xuequan Lu



Lecturer, Information Technology


Faculty of Sci Eng & Built Env


School of Info Technology


I am a Lecturer (Assistant Professor) at Deakin University in Australia. I have spent more than two wonderful years as a Research Fellow in Singapore. Prior to that, I received my Ph.D in the College of Computer Science and Technology at Zhejiang University (China) in June 2016.

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Research interests

My research interests mainly fall into the category of Visual Data Computing, for example, geometry modeling, processing and analysis, animation/simulation, 2D data processing and analysis. Please refer to DBLP for a complete list of my research work.

Units taught






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HLO: Half-kernel Laplacian Operator for surface smoothing

W Pan, X Lu, Y Gong, W Tang, J Liu, Y He, G Qiu

(2020), Vol. 121, pp. 1-11, CAD computer aided design, Amsterdam, The Netherlands, C1

journal article

G2MF-WA: Geometric multi-model fitting with weakly annotated data

C Zhang, X Lu, K Hotta, X Yang

(2020), pp. 1-11, Computational Visual Media, Berlin, Germany, C1

journal article

Deep feature-preserving normal estimation for point cloud filtering

Dening Lu, Xuequan Lu, Yangxing Sun, Jun Wang

(2020), Vol. 125, pp. 1-12, Computer-aided design, Amsterdam, The Netherlands, C1

journal article

Application of evolutionary and swarm optimization in computer vision: a literature survey

T Nakane, N Bold, H Sun, X Lu, T Akashi, C Zhang

(2020), Vol. 12, pp. 1-34, IPSJ Transactions on Computer Vision and Applications, London, Eng., C1

journal article

Blur-countering keypoint detection via eigenvalue asymmetry

Chao Zhang, Xuequan Lu, Takuya Akashi

(2020), Vol. 8, pp. 159077-159088, IEEE Access, Piscataway, N.J., C1

journal article

Multi-label zero-shot learning with graph convolutional networks

G Ou, G Yu, C Domeniconi, X Lu, X Zhang

(2020), Vol. 132, pp. 333-341, Neural networks, Amsterdam, The Netherlands, C1

journal article

A Search History-Driven Offspring Generation Method for the Real-Coded Genetic Algorithm.

Takumi Nakane, Xuequan Lu, Chao Zhang

(2020), Vol. 2020, pp. 1-20, Computational Intelligence and Neuroscience, New York, N.Y., C1

journal article

HDF: Hybrid deep features for scene image representation

Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu

(2020), pp. 1-8, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1


Indoor image representation by high-level semantic features

C Sitaula, Y Xiang, Y Zhang, X Lu, S Aryal

(2019), Vol. 7, pp. 84967-84979, IEEE access, Piscataway, N.J., C1

journal article

3D articulated skeleton extraction using a single consumer-grade depth camera

X Lu, Z Deng, J Luo, W Chen, S Yeung, Y He

(2019), Vol. 188, pp. 1-13, Computer vision and image understanding, Amsterdam, The Netherlands, C1

journal article

A probabilistic bitwise genetic algorithm for B-spline based image deformation estimation

T Nakane, X Lu, T Akashi, C Zhang

(2019), pp. 300-301, GECCO 2019 : Proceedings of the Genetic and Evolutionary Computation Conference, Prague, Czech Republic, E1


Unsupervised deep features for privacy image classification

C Sitaula, Y Xiang, S Aryal, X Lu

(2019), Vol. 11854, pp. 404-415, Image and video technology : 9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18-22, 2019, Proceedings, Sydney, N.S.W., E1


Tag-based semantic features for scene image classification

C Sitaula, Y Xiang, A Basnet, S Aryal, X Lu

(2019), Vol. 11955, pp. 90-102, APNNS 2019 : Proceedings of the 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society 2019, Sydney, N.S.W., E1


GPF: GMM-inspired feature-preserving point set filtering

Xuequan Lu, Shihao Wu, Honghua Chen, Sai-Kit Yeung, Wenzhi Chen, Matthias Zwicker

(2018), Vol. 24, pp. 2315-2326, IEEE transactions on visualization and computer graphics, Piscataway, N.J., C1-1

journal article

Unsupervised articulated skeleton extraction from point set sequences captured by a single depth camera

X Lu, H Chen, S Yeung, Z Deng, W Chen

(2018), pp. 7226-7234, AAAI-18 : Proceedings of the 32nd AAAI Conference on Artificial Intelligence, New Orleans, La., E1-1


Robust mesh denoising via vertex pre-filtering and L?-median normal filtering

X Lu, W Chen, S Schaefer

(2017), Vol. 54, pp. 49-60, Computer aided geometric design, Amsterdam, The Netherlands, C1-1

journal article

An efficient approach for feature-preserving mesh denoising

X Lu, X Liu, Z Deng, W Chen

(2017), Vol. 90, pp. 186-195, Optics and lasers in engineering, Amsterdam, The Netherlands, C1-1

journal article

A robust scheme for feature-preserving mesh denoising

Xuequan Lu, Zhigang Deng, Wenzhi Chen

(2016), Vol. 22, pp. 1181-1194, IEEE transactions on visualization and computer graphics, Piscataway, N.J., C1-1

journal article

AA-FVDM: an accident-avoidance full velocity difference model for animating realistic street-level traffic in rural scenes

X Lu, W Chen, M Xu, Z Wang, Z Deng, Y Ye

(2014), Vol. 25, pp. 83-97, Computer animation and virtual worlds, Chichester, Eng., C1-1

journal article

An original-stream based solution for smoothly replaying high-definition videos in desktop virtualization systems

K Su, Z Wang, X Lu, W Chen

(2014), Vol. 25, pp. 39-46, Journal of Visual Languages & Computing: Distributed Multimedia Systems DMS2014 Part I, Pittsburgh, PA, USA, E1-1


A personality model for animating heterogeneous traffic behaviors

X Lu, Z Wang, M Xu, W Chen, Z Deng

(2014), Vol. 25, pp. 361-371, CASA 2014 : Proceedings of the 27th Conference on Computer Animation and Social Agents 2014, Houston, Tex., E1-1


Adaptive-AR model with drivers' prediction for traffic simulation

X Lu, M Xu, W Chen, Z Wang, A El Rhalibi

(2013), International journal of computer games technology, Cairo, Egypt, C1-1

journal article

Funded Projects at Deakin

Industry and Other Funding

3D Foot Matching

Dr Xuequan Lu

  • 2020: $37,000


No completed student supervisions to report