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Yonggen Ling 凌永根

Ph.D. 2017

Robotics Institute, Department of Electrical and Computer Engineering, The Hong Kong University of Science and Technology

Email: ylingaa AT connect.ust.hk

Biography

I received my Ph.D. degree at the Robotics Institute (RI), Department of Electrical and Computer Engineering, The Hong Kong University of Science and Technology (HKUST) in 2017. I was an ACM-ICPCer and had participted in lots of programming contests when I was an undergradudate. The learned programming skills and algorithms related to computer science and maths built a strong foundation for my following acadamic career. I started to work on image processing, video coding, and signal processing after joining the Multimedia Technology Research Center (MTrec) supervised by Prof. Oscar C. Au (IEEE Fellow). I began to serve as an intern for DJI at the end of 2013, where I developed the vision module for UAVs. During the internship, I was touched by the magic of computer vision and robotics. I decided to go further into these topics in my acadamic career and joined the Prof. Shaojie Shen's UAV group, where I worked on visual odometry, mapping, 3D reconstruction, visual-inertial fusion, SLAM, and autonomous navigation.

I am the Team Leader of the Multimodal Perception Group in the Robotics X Lab at Tencent. A few full-time/intern positions are available for talented Ph.D. and Master students. Please contact me via my email if you are interested and self-motivated to do cutting-edge work.

Selected Publications

(*equal contribution, ✉corresponding author)

Kehan Chen, Dong An, Yan Huang, Rongtao Xu, Yifei Su, Yonggen Ling, Ian Reid, and Liang Wang,
Shot Vision-Language Navigation in Continuous Environments,
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
Junning Qiu, Minglei Lu, Fei Wang, Yu Guo, and Yonggen Ling✉,
Leveraging Global Stereo Consistency for Category-Level Shape and 6D Pose Estimation from Stereo Images,
in Computer Vision and Pattern Recognition (CVPR), 2025.
Yifei Su, Dong An, Kehan Chen, Weichen Yu, Baiyang Ning, Yonggen Ling, Yan Huang, Liang Wang,
Learning Fine-Grained Alignment for Aerial Vision-Dialog Navigation,
in AAAI Conference on Artificial Intelligent (AAAI), 2025.
Chuanrui Zhang*, Yonggen Ling*✉, Minglei Lu, Minghan Qin and Haoqian Wang,
Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images,
in European Conference on Computer Vision (ECCV), 2024.
Zhaoliang Wan, Yonggen Ling✉, Senlin Yi, Lu Qi, Minglei Lu, Wangwei Lee, Sicheng Yang, Xiao Teng, Peng Lu, Xu Yang, Ming-Hsuan Yang, and Hui Cheng,
VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception,
in International Conference on Machine Learning (ICML), 2024.
Kaspar Althoefer*, Yonggen Ling*, Xinyuan Qian, Wang Wei Lee, Peng Qi and Wanlin Li,
A Miniaturised Camera-based Multi-Modal Tactile Sensor,
in IEEE International Conference on Robotics and Automation (ICRA), 2023.
Boxiang Zhang, Zunran Wang, Yonggen Ling, Yuanyuan Guan, Shenghao Zhang and Wenhui Li,
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation,
in AAAI Conference on Artificial Intelligent (AAAI), 2023.
Shifeng Lin, Zunran Wang, Shenghao Zhang, Yonggen Ling, Chenguang Yang,
Deep Fusion for Multi-Modal 6D Pose Estimation,
IEEE Transactions on Automation Science and Engineering (TASE), 2023.
Haoxian Zhang* and Yonggen Ling*✉,
HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking,
in European Conference on Computer Vision (ECCV), 2022.
Shifeng Lin, Zunran Wang, Yonggen Ling, Yidan Tao and Chenguang Yang,
E2EK: End-to-End Regression Network Based on Keypoint for 6D Pose Estimation,
IEEE Robotics and Automation Letters (RAL), 2022. [Paper]
Hanzhong Liu, Bidan Huang, Qiang Li, Yu Zheng, Yonggen Ling, Wang Wei Lee, Yi Liu, Ya-Yen Tsai and Chenguang Yang,
Multi-Finger Tactile Servoing for Grasping Adjustment under Partial Observation,
in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
Yajing Chen, Fanzi Wu, Zeyu Wang, Yibing Song, Yonggen Ling and Linchao Bao,
Self-Supervised Learning of Detailed 3D Face Reconstruction,
IEEE Transactions on Image Processing (TIP), 2020. [Paper] [Code]
Yonggen Ling and Shaojie Shen,
Real-time Dense Mapping for Online Processing and Navigation,
Journal of Field Robotics (JFR), 2019. [Paper]
Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King N. Ngan and Wei Liu,
MVF-Net: Multi-View 3D Face Morphable Model Regression,
in Computer Vision and Pattern Recognition (CVPR), 2019. [Paper]
Yonggen Ling, Linchao Bao, Zequn Jie, Fengming Zhu, Ziyang Li, Shanmin Tang, Yongsheng Liu, Wei Liu and Tong Zhang,
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry,
in European Conference on Computer Vision (ECCV), 2018. [Paper]
Yonggen Ling, Kaixuan Wang and Shaojie Shen,
Probabilistic Dense Reconstruction from a Moving Camera,
in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018. [Paper]
Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Jiashi Feng and Wei Liu,
Left-Right Comparative Recurrent Model for Stereo Matching,
in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Oral, 2018. [Paper]
Yonggen Ling and Shaojie Shen,
Building Maps for Autonomous Navigation Using Sparse Visual SLAM Features,
in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017. [Paper]
Yonggen Ling and Shaojie Shen,
High-Precision Online Markerless Stereo Extrinsic Calibration,
in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016. [Paper]
Yonggen Ling, Tianbo Liu and Shaojie Shen,
Aggressive Quadrotor Flight Using Dense Visual-Inertial Fusion,
in IEEE International Conference on Robotics and Automation (ICRA), 2016. [Paper]

Work Experience

Research Assistant, HKUST, Sep. 2016 - Aug. 2017
Intern in Vision Lab, Dajiang Innovation, Jan. 2014 - Dec. 2014
Intern in Multimedia Lab, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Feb. 2012 - Sep. 2012
Mentors: Prof. Shifeng Chen & Prof. Wei Zhang

Scholarships & Awards

Research Travel Grant, HKUST, 2014, 2015, 2016
Postgraduate Scholarship, HKUST, Sep. 2012 - Aug. 2016
National Scholarship, China, 2009, 2010, 2011
Google Excellence Scholarship, Google, 2011
Top Ten Students in South China University of Technology, SCUT, 2011
First Prize for 10th Guangdong Collegiate Programming Contest, Guangdong, 2012
First Prize for 9th Guangdong Collegiate Programming Contest, Guangdong, 2011
Silver Medal for 35th ACM International Collegiate Programming Contest, Asia Regional, Harbin Site, ACM, 2010
Silver Medal for 35th ACM International Collegiate Programming Contest, Asia Regional, Fuzhou Site, ACM, 2010

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