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 OoiRethinking Range View Representation for LiDAR Segmentation
Lingdong Kong, Youquan Liu, Runnan Chen, Yuexin Ma, Xinge Zhu, Yikang Li, Yuenan Hou, Yu Qiao, Ziwei LiuUnsupervised Video Domain Adaptation: A Disentanglement Perspective
Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun MaUnified 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 LiuFree Lunch for Co-Saliency Detection: Context Adjustment
Lingdong Kong, Prakhar Ganesh, Tan Wang, Junhao Liu, Le Zhang, Yao ChenLaserMix for Semi-Supervised LiDAR Semantic Segmentation
Lingdong Kong*, Jiawei Ren*, Liang Pan, Ziwei Liu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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CLIP2Scene: 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 WangIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
Lingdong Kong, Niamul Quader, Venice Erin LiongIEEE International Conference on Robotics and Automation (ICRA), 2023
Benchmarking Bird's Eye View Detection Robustness to Real-World Corruptions
Shaoyuan Xie, Lingdong Kong, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei LiuICLR Workshop on Scene Representations for Autonomous Driving, 2023
Benchmarking 3D Perception Robustness to Common Corruptions and Sensor Failure
Lingdong Kong*, Youquan Liu*, Xin Li*, Runnan Chen, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei LiuICLR Workshop on Scene Representations for Autonomous Driving, 2023
Semi-Supervised LiDAR Semantic Segmentation with Spatial Consistency Training
Lingdong Kong*, Jiawei Ren*, Liang Pan, Ziwei LiuICLR Workshop on Scene Representations for Autonomous Driving, 2023
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