Personal Profile

I am an associate professor at Huazhong University of Science and Technology (HUST). My research interests include 3D vision, computer graphics, point cloud processing, and deep learning. I am dedicated to designing machine learning algorithms for processing, analyzing, and sensing 3D data.

Before joining HUST, I was a post-doctoral fellow at The Chinese University of Hong Kong (CUHK) and Hong Kong Center for Logistics Robotics. I have received my Ph.D. degree from the Department of Computer Science and Engineering, CUHK, supervised by Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu. Before that, I received the M.Sc. at CUHK in 2015 and B. Eng. at Sichuan University in 2014.

For more details, please also visit my personal website: https://nini-lxz.github.io/

Academic Degrees

2016.8-2020.7

Ph.D., Computer Science and Engineering, CUHK

2014.8-2015.7

M. Sc., Biomedical Engineering, CUHK

2010.8-2014.7

B. Eng., Biomedical Engineering, Sichuan University

Professional Experience

2021.11-Now

Huazhong University of Science and Technology - School of Computer Science and Technology- Associate Professor  

2020.8-2021.8

The Chinese University of Hong Kong - Computer Science and Engineering - Postdoctoral Researcher

Courses Taught

[1] 2022-Now Spring   Computer Vision

[2] 2018-2019 Spring CSCI 5210 Advanced Topics in Computer Graphics and Visualization

[3] 2017-2018 Fall CSCI3260 Principles of Computer Graphics

[4] 2017-2018 Spring CSCI2100 Data Structure

[5] 2016-2017 Fall CSCI3260 Principles of Computer Graphics

Awards and Honors

[1] 2018 Teaching Assistant of Merit

[2] 2015 Biomedical Engineering Scholarship

[3] 2014 Outstanding Graduates of Sichuan University

[4] 2013 National Scholarship in China

Selected Projects Funded

[1] Principal Investigator: “Research on Indoor Scene 3D Reconstruction and Understanding using Limited Labeled Training Data” funded by National Natural Science Foundation of China (2023.01-2025.12)

Selected Publications

[1] Xu J, Li X*, Tang Y, Yu Q, et al. CasFusionNet: A cascaded network for point cloud semantic scene completion by dense feature fusion [C]//Association for the Advancement of Artificial Intelligence (AAAI), 2023. (* Corresponding Author)

[2] Li X, Cao R, Feng Y, et al. A sim-to-real object recognition and localization framework for industrial robotic bin picking [J]. IEEE Robotics and Automation Letters (RA-L), 2022, 7(2): 3961-3968.

[3] Feng Y, Yang B, Li X*, et al. Towards robust part-aware instance segmentation for industrial bin picking [C]//IEEE International Conference on Robotics and Automation (ICRA), 2022. (* Corresponding Author)

[4] Li X, Li R, Chen G, et al. A rotation-invariant framework for deep point cloud analysis [J]. IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021.

[5] Li X, Yu L, Fu C W, et al. Unsupervised detection of distinctive regions on 3D shapes [J]. ACM Transactions on Graphics (TOG), 2020, 39(5): 1-14.

[6] Li X, Li R, Zhu L, et al. DNF-Net: a deep normal filtering network for mesh denoising [J]. IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020, 27(10): 4060-4072.

[7] Yu Y, Li X*, and Liu F. E-DBPN: Enhanced deep back-projection networks for remote sensing scene image superresolution [J]. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020, 58(8): 5503-5515. (* Corresponding Author)

[8] Li R, Li X*, Heng P A, et al. Point cloud upsampling via disentangled refinement [C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021: 344-353. (* Corresponding Author)

[9] Li X, Zhu L, Fu C W, et al. Non-local low-rank normal filtering for mesh denoising [J]. Computer Graphics Forum, 2018, 37(7), 155-166.

[10] Yu L*, Li X*, Fu C W, et al. PU-Net: Point cloud upsampling network [C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2018: 2790-2799. (* Joint First Author)

[11] Yu L*, Li X*, Fu C W, et al. EC-Net: an edge-aware point set consolidation network [C]//Proceedings of the European Conference on Computer Vision (ECCV). 2018: 386-402. (* Joint First Author)

Professional Affiliations

Research Group

Embedded and Pervasive Computing Lab

Enrollment Information

[1] Computer Science and Technology/CST (Computer Software and Theory)/2023

[2] School of Computer Science and Technology/CST (Computer Software and Theory)/2023

Personal Homepage

Web：/hust/mu_faculty/lixianzhi1/en/index.htm