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.
RoboDepth: Robust Out-of-Distribution Depth Estimation under Common Corruptions
Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Benoit Cottereau, Lai Xing Ng, Wei Tsang OoiUnsupervised Video Domain Adaptation: A Disentanglement Perspective
Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun MaCLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP
Runnan Chen, Youquan Liu, Lingdong Kong, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao, Wenping WangUnified 3D and 4D Panoptic Segmentation via Dynamic Shifting Network
Fangzhou Hong, Lingdong Kong, Hui Zhou, Xingge Zhu, Hongsheng Li, Ziwei LiuPointCloud-C: Benchmarking and Analyzing Point Cloud Perception Robustness under Corruptions
Jiawei Ren*, Lingdong Kong*, Liang Pan, Ziwei LiuLaserMix for Semi-Supervised LiDAR Semantic Segmentation
Lingdong Kong*, Jiawei Ren*, Liang Pan, Ziwei LiuFree Lunch for Co-Saliency Detection: Context Adjustment
Lingdong Kong, Prakhar Ganesh, Tan Wang, Junhao Liu, Le Zhang, Yao ChenConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
Lingdong Kong, Niamul Quader, Venice Erin LiongIEEE International Conference on Robotics and Automation, 2023
Mutual-Collision-Avoidance Scheme for Dual Robot Manipulators Executing Cooperative Tasks
Zhijun Zhang, Lunan Zheng, Zhuoming Chen, Lingdong KongIEEE 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 YuIEEE 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 ZhengIEEE 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 TanIEEE International Conference on Robotics and Biomimetics, 2018
2022.08 - Present
Ph.D., Computer Science, School of Computing, Department of Computer Science2020.07 - 2022.06
M.Eng., Computer Science, School of Computer Science & Engineering2019.07 - 2020.06
M.Sc., Computer Control & Automation, School of Electrical & Electronic Engineering2015.09 - 2019.06
B.Eng., Intelligent Science & Technology, School of Automation Science & Engineering