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.
RoboDepth: Robust Out-of-Distribution Depth Estimation under Common CorruptionsLingdong Kong, Shaoyuan Xie, Hanjiang Hu, Benoit Cottereau, Lai Xing Ng, Wei Tsang Ooi
Unsupervised Video Domain Adaptation: A Disentanglement PerspectivePengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma
CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIPRunnan Chen, Youquan Liu, Lingdong Kong, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao, Wenping Wang
Unified 3D and 4D Panoptic Segmentation via Dynamic Shifting NetworkFangzhou Hong, Lingdong Kong, Hui Zhou, Xingge Zhu, Hongsheng Li, Ziwei Liu
PointCloud-C: Benchmarking and Analyzing Point Cloud Perception Robustness under CorruptionsJiawei Ren*, Lingdong Kong*, Liang Pan, Ziwei Liu
LaserMix for Semi-Supervised LiDAR Semantic SegmentationLingdong Kong*, Jiawei Ren*, Liang Pan, Ziwei Liu
Free Lunch for Co-Saliency Detection: Context AdjustmentLingdong Kong, Prakhar Ganesh, Tan Wang, Junhao Liu, Le Zhang, Yao Chen
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain ConcatenationLingdong Kong, Niamul Quader, Venice Erin Liong
IEEE International Conference on Robotics and Automation, 2023
Mutual-Collision-Avoidance Scheme for Dual Robot Manipulators Executing Cooperative TasksZhijun 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 ProblemsZhijun 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 ApplicationsZhijun 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 ManipulatorsZhijun Zhang, Lingdong Kong, Ziyi Yan, Ke Chen, Shuai Li, Xilong Qu, Ning Tan
IEEE International Conference on Robotics and Biomimetics, 2018
2022.08 - PresentPh.D., Computer Science, School of Computing, Department of Computer Science
2020.07 - 2022.06M.Eng., Computer Science, School of Computer Science & Engineering
2019.07 - 2020.06M.Sc., Computer Control & Automation, School of Electrical & Electronic Engineering
2015.09 - 2019.06B.Eng., Intelligent Science & Technology, School of Automation Science & Engineering