Lingdong Kong

I am a first-year Ph.D. student in the Department of Computer Science at the National University of Singapore, under Prof. Wei Tsang Ooi. I am also closely with Dr. Benoit Cottereau from CNRS, Dr. Lai Xing Ng from A*STAR, and Prof. Ziwei Liu from S-Lab, Nanyang Technological University, Singapore.

I work in the fields of deep learning and computer vision, with particular focuses on 3D perception, domain adaptation, and visual representation learning.

My research pursues to build robust and scalable perception models that can be generalized across different domains and scenarios, with minimum or no human annotations needed.

I am fortunate to have research attachments and internships at Shanghai AI Lab, ByteDance AI Lab, MMLab@NTU, Motional, and Advanced Digital Sciences Center.

News

• 2022.11 - We are organizing the RoboDepth (Robust Out-of-Distribution Depth Estimation) Competition at ICRA 2023.
• 2022.06 - We are organizing the 4th SenseHuman Workshop at ECCV 2022.
• 2022.06 - We are organizing the PointCloud-C Challenge at ECCV 2022. Visit our project page to explore more details.

Preprints

• Unsupervised Video Domain Adaptation: A Disentanglement Perspective

  Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma
          

• PointCloud-C: Benchmarking and Analyzing Point Cloud Perception Robustness under Corruptions

  Jiawei Ren*, Lingdong Kong*, Liang Pan, Ziwei Liu
             

• LaserMix for Semi-Supervised LiDAR Semantic Segmentation

  Lingdong Kong*, Jiawei Ren*, Liang Pan, Ziwei Liu
       

• ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation

  Lingdong Kong, Niamul Quader, Venice Erin Liong
          

• Adjusting Visual Context for Co-Saliency Detection

  Lingdong Kong, Prakhar Ganesh, Tan Wang, Junhao Liu, Le Zhang, Yao Chen
       

Publications

• Mutual-Collision-Avoidance Scheme for Dual Robot Manipulators Executing Cooperative Tasks

  Zhijun Zhang, Lunan Zheng, Zhuoming Chen, Lingdong Kong

  IEEE Transactions on Neural Networks and Learning Systems, 2021

    

• Robustness Analysis of Varying-Parameter RNNs for Solving Time-Varying QM and QP Problems

  Zhijun Zhang, Lingdong Kong, Lunan Zheng, Pengchao Zhang, Xilong Qu, Bolin Liao, Zhuliang Yu

  IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020

    

• Power-Type Varying Parameter RNN for Solving TVQP Problems: Design, Analysis, and Applications

  Zhijun Zhang, Lingdong Kong, Lunan Zheng

  IEEE Transactions on Neural Networks and Learning Systems, 2019

    

• Comparisons among Six Numerical Methods for Repetitive Motion Planning of Robot Manipulators

  Zhijun Zhang, Lingdong Kong, Ziyi Yan, Ke Chen, Shuai Li, Xilong Qu, Ning Tan

  IEEE International Conference on Robotics and Biomimetics, 2018

    

Education

• 2022.08 - Present

  Ph.D., Computer Science, School of Computing, Department of Computer Science

  National University of Singapore

• 2020.07 - 2022.06

  M.Eng., Computer Science, School of Computer Science & Engineering

  Nanyang Technological University, Singapore

• 2019.07 - 2020.06

  M.Sc., Computer Control & Automation, School of Electrical & Electronic Engineering

  Nanyang Technological University, Singapore

• 2015.09 - 2019.06

  B.Eng., Intelligent Science & Technology, School of Automation Science & Engineering

  South China University of Technology

Awards & Honours

• DesCartes PhD Fellowship, awarded by CNRS, Apr. 2022
• NUS Research Scholarship, awarded by the Ministry of Education of Singapore, Apr. 2022
• National Scholarship, awarded by the Ministry of Education of China, Nov. 2018

Misc

• Conference Reviewer: NeurIPS'22, ICLR'23
• Journal Reviewer: IEEE TNNLS, IEEE TSMC, IEEE TCYB
• Teaching Assistant: TBD