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.

[News] I am now a senior researcher scientist in Robotics X, Tencent. A few 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

  1. 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. (*equal contribution)

  2. 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.

  3. Boxiang Zhang, Zunran Wang, Yonggen Ling, Yuanyuan Guan, Shenghao Zhang, Wenhui Li, Lei Wei and Chunxu Zhang,
    ShuffleTrans: Patch-wise Weight Shuffle for Transparent Object Segmentation,
    Neural Networks (NN), 2023.

  4. 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.

  5. Xinyang Jiang, Wanchao Chi, Yu Zheng, Shenghao Zhang, Yonggen Ling, Jiafeng Xu, Zhengyou Zhang,
    Locomotion Generation for Quadruped Robots on Challenging Terrains via Quadratic Programming,
    Autonomous Robots (AURO), 2023.

  6. Qiguang Lin, Xiaofeng Liu, Chaojie Yan, Qiang Li, Yonggen Ling, Yu Zheng, Wang Wei Lee, Zhaoliang Wan and Bidan Huang,
    Tactile-based Object Pose Estimation Employing Extended Kalman Filter,
    in IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2023. (Best Paper Finalist)

  7. 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. (*equal contribution, ✉corresponding author)

  8. 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]

  9. 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.

  10. 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]

  11. Yonggen Ling and Shaojie Shen,
    Real-time Dense Mapping for Online Processing and Navigation,
    Journal of Field Robotics (JFR), 2019. [Paper]

  12. 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]

  13. 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]

  14. 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]

  15. 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]

  16. Yonggen Ling, Manohar Kuse and Shaojie Shen,
    Edge Alignment-Based Visual-Inertial Fusion for Tracking of Aggressive Motions,
    Autonomous Robots (AURO), 2017. [Paper]

  17. 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]

  18. 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]

  19. 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

  1. Research Assistant, HKUST, Sep. 2016 - Aug. 2017

  2. Intern in Vision Lab, Dajiang Innovation, Jan. 2014 - Dec. 2014

  3. 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

  1. Research Travel Grant, HKUST, 2014, 2015, 2016

  2. Postgraduate Scholarship, HKUST, Sep. 2012 - Aug. 2016

  3. National Scholarship, China, 2009, 2010, 2011

  4. Google Excellence Scholarship, Google, 2011

  5. Top Ten Students in South China University of Technology, SCUT, 2011

  6. First Prize for 10th Guangdong Collegiate Programming Contest, Guangdong, 2012

  7. First Prize for 9th Guangdong Collegiate Programming Contest, Guangdong, 2011

  8. Silver Medal for 35th ACM International Collegiate Programming Contest, Asia Regional, Harbin Site, ACM, 2010

  9. Silver Medal for 35th ACM International Collegiate Programming Contest, Asia Regional, Fuzhou Site, ACM, 2010