Xianzhi Li

李贤芝

Associate Professor

School of Computer Science and Technology
Huazhong University of Science and Technology (华中科技大学)
Wuhan, Hubei Province

Email: xzli [at] hust [dot] edu [dot] cn

Now Looking for!!!

  • Mphil opening: 3D vision, 3D reconstruction, point cloud processing, etc.
Note: passion in research, hardworking, creative, and well-motivated for high-quality research!


Biography

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. from Biomedical Engineering at CUHK in 2015 and B. Eng. from Biomedical Engineering at Sichuan University in 2014.

News

Selected Publications [Google Scholar]

                                                      
Pay More Attention to Relation Exploration for Knowledge Base Question Answering.
Yong Cao, Xianzhi Li, Huiwen Liu, Wen Dai, Shuai Chen, Bin Wang, Min Chen, and Daniel Hershcovich.
ACL Findings 2023.

( Corresponding author)

Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training.
Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzhi Li, Pheng-Ann Heng.
IJCAI 2023.

( Corresponding author)

CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion.
Jinfeng Xu, Xianzhi Li, Yuan Tang, Qiao Yu, Yixue Hao, Long Hu, Min Chen.
AAAI 2023.

( Corresponding author)

[code]

Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation.
Yong Cao, Wei Li, Xianzhi Li, Min Chen, Guangyong Chen, Long Hu, Zhengdao Li, Hwang Kai.
NAACL Findings 2022.

[code]

Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking.
Yidan Feng*, Biqi Yang*, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yun-Hui Liu, and Pheng-Ann Heng.
IEEE International Conference on Robotics and Automation (ICRA), 2022.

(* Joint first author; Corresponding author)

A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking.
Xianzhi Li, Rui Cao, Yidan Feng, Kai Chen, Biqi Yang, Chi-Wing Fu, Yichuan Li, Qi Dou, Yun-Hui Liu, and Pheng-Ann Heng.
IEEE Robotics and Automation Letters (RA-L), 2022. (Also accepted by ICRA 2022.)

RePCD-Net: Feature-aware Recurrent Point Cloud Denoising Network.
Honghua Chen, Zeyong Wei, Xianzhi Li, Yabin Xu, Mingqiang Wei, Jun Wang.
International Journal of Computer Vision (IJCV), 2022.

[code]

A Rotation-invariant Framework for Deep Point Cloud Analysis.
Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021.

[code]

SP-GAN: Sphere-guided 3D Shape Generation and Manipulation.
Ruihui Li, Xianzhi Li, Ka-Hei Hui, Chi-Wing Fu.
ACM SIGGRAPH, 2021.

[code]

Point Cloud Upsampling via Disentangled Refinement.
Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

( Corresponding author)

[code]

DNF-Net: a Deep Normal Filtering Network for Mesh Denoising.
Xianzhi Li, Ruihui Li, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020.

[code]

Unsupervised Detection of Distinctive Regions on 3D Shapes.
Xianzhi Li, Lequan Yu, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng.
ACM Transactions on Graphics (TOG), 2020.

[code]

PointAugment: an Auto-Augmentation Framework for Point Cloud Classification.
Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (oral)

[code]

PU-GAN: a Point Cloud Upsampling Adversarial Network.
Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng.
IEEE International Conference on Computer Vision (ICCV), 2019.

[code]

Deep Floor Plan Recognition using a Multi-task Network with Room-boundary-Guided Attention.
Zhiliang Zeng, Xianzhi Li, Chi-Wing Fu, Ying-Kin Yu.
IEEE International Conference on Computer Vision (ICCV), 2019.

[code]

Non-local Low-rank Normal Filtering for Mesh Denoising.
Xianzhi Li, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng
Computer Graphics Forum (Pacific Graphics), 2018.

[code]

EC-Net: and Edge-aware Point Set Consolidation Network.
Lequan Yu*, Xianzhi Li*, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng.
European Conference on Computer Vision (ECCV), 2018.

(* Joint first author)

[project page]

PU-Net: Point Cloud Upsampling Network.
Lequan Yu*, Xianzhi Li*, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

(* Joint first author)

[code]

Honors & Awards

Teaching Assistant of Merit, 2018
Biomedical Engineering Scholarship, 2015
Outstanding Graduates of Sichuan University, 2014
National Scholarship in China, 2013

Teaching

2022春季计算机视觉
2018-2019SpringCSCI 5210 Advanced Topics in Computer Graphics and Visualization
2017-2018FallCSCI3260 Principles of Computer Graphics
2017-2018SpringCSCI2100 Data Structure
2016-2017FallCSCI3260 Principles of Computer Graphics


© Xianzhi Li