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 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 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

2022.06 - We are organizing the 1st PointCloud-C challenge! 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

• Benchmarking and Analyzing Point Cloud 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, Hanwang Zhang

• 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

• A Circadian Rhythms Learning Network for Resisting Cognitive Periodic Noises of Time-Varying Systems  

  Zhijun Zhang, Xianzhi Deng, Lingdong Kong, Shuai Li

  IEEE Transactions on Cognitive and Developmental 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

• 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