Lingdong Kong

According to our database, Lingdong Kong authored at least 74 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences.

Ao Liang, Youquan Liu, Yu Yang, Dongyue Lu, Linfeng Li, Lingdong Kong, Huaici Zhao, Wei Tsang Ooi

CoRR, August, 2025

La La LiDAR: Large-Scale Layout Generation from LiDAR Data.

Youquan Liu, Lingdong Kong, Weidong Yang, Xin Li, Ao Liang, Runnan Chen, Ben Fei, Tongliang Liu

CoRR, August, 2025

Veila: Panoramic LiDAR Generation from a Monocular RGB Image.

Youquan Liu, Lingdong Kong, Weidong Yang, Ao Liang, Jianxiong Gao, Yang Wu, Xiang Xu, Xin Li, Linfeng Li, Runnan Chen, Ben Fei

CoRR, August, 2025

Perspective-Invariant 3D Object Detection.

Ao Liang, Lingdong Kong, Dongyue Lu, Youquan Liu, Jian Fang, Huaici Zhao, Wei Tsang Ooi

CoRR, July, 2025

Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras.

Lingdong Kong, Dongyue Lu, Ao Liang, Rong Li, Yuhao Dong, Tianshuai Hu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau

CoRR, July, 2025

Monocular Semantic Scene Completion via Masked Recurrent Networks.

Xuzhi Wang, Xinran Wu, Song Wang, Lingdong Kong, Ziping Zhao

CoRR, July, 2025

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations.

Xiang Xu, Lingdong Kong, Song Wang, Chuanwei Zhou, Qingshan Liu

CoRR, July, 2025

SafeMap: Robust HD Map Construction from Incomplete Observations.

Xiaoshuai Hao, Lingdong Kong, Rong Yin, Pengwei Wang, Jing Zhang, Yunfeng Diao, Shu Zhao

CoRR, July, 2025

MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query.

Wei Chow, Yuan Gao, Linfeng Li, Xian Wang, Qi Xu, Hang Song, Lingdong Kong, Ran Zhou, Yi Zeng, Yidong Cai, Botian Jiang, Shilin Xu, Jiajun Zhang, Minghui Qiu, Xiangtai Li, Tianshu Yang, Siliang Tang, Juncheng Li

CoRR, June, 2025

Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving.

Shaoyuan Xie, Lingdong Kong, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving.

Lingdong Kong, Xiang Xu, Jiawei Ren, Wenwei Zhang, Liang Pan, Kai Chen, Wei Tsang Ooi, Ziwei Liu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation.

Xuzhi Wang, Wei Feng, Lingdong Kong, Liang Wan

CoRR, May, 2025

PixelThink: Towards Efficient Chain-of-Pixel Reasoning.

Song Wang, Gongfan Fang, Lingdong Kong, Xiangtai Li, Jianyun Xu, Sheng Yang, Qiang Li, Jianke Zhu, Xinchao Wang

CoRR, May, 2025

Stairway to Success: Zero-Shot Floor-Aware Object-Goal Navigation via LLM-Driven Coarse-to-Fine Exploration.

Zeying Gong, Rong Li, Tianshuai Hu, Ronghe Qiu, Lingdong Kong, Lingfeng Zhang, Yiyi Ding, Leying Zhang, Junwei Liang

CoRR, May, 2025

SPIRAL: Semantic-Aware Progressive LiDAR Scene Generation.

Dekai Zhu, Yixuan Hu, Youquan Liu, Dongyue Lu, Lingdong Kong, Slobodan Ilic

CoRR, May, 2025

Zero-Shot 3D Visual Grounding from Vision-Language Models.

Rong Li, Shijie Li, Lingdong Kong, Xulei Yang, Junwei Liang

CoRR, May, 2025

Can MLLMs Guide Me Home? A Benchmark Study on Fine-Grained Visual Reasoning from Transit Maps.

Sicheng Feng, Song Wang, Shuyi Ouyang, Lingdong Kong, Zikai Song, Jianke Zhu, Huan Wang, Xinchao Wang

CoRR, May, 2025

SuperFlow++: Enhanced Spatiotemporal Consistency for Cross-Modal Data Pretraining.

Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu

CoRR, March, 2025

LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving.

Lingdong Kong, Xiang Xu, Youquan Liu, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu

CoRR, January, 2025

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives.

Shaoyuan Xie, Lingdong Kong, Yuhao Dong, Chonghao Sima, Wenwei Zhang, Qi Alfred Chen, Ziwei Liu, Liang Pan

CoRR, January, 2025

MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception.

Xiaoshuai Hao, Guanqun Liu, Yuting Zhao, Yuheng Ji, Mengchuan Wei, Haimei Zhao, Lingdong Kong, Rong Yin, Yu Liu

CoRR, January, 2025

OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies.

Runnan Chen, Xiangyu Sun, Zhaoqing Wang, Youquan Liu, Jiepeng Wang, Lingdong Kong, Jiankang Deng, Mingming Gong, Liang Pan, Wenping Wang, Tongliang Liu

CoRR, January, 2025

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation.

Xiang Xu, Lingdong Kong, Hui Shuai, Qingshan Liu

IEEE Trans. Image Process., 2025

Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding.

Lingdong Kong, Xiang Xu, Jun Cen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes.

Hengwei Bian, Lingdong Kong, Haozhe Xie, Liang Pan, Yu Qiao, Ziwei Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning.

Song Wang, Xiaolu Liu, Lingdong Kong, Jianyun Xu, Chunyong Hu, Gongfan Fang, Wentong Li, Jianke Zhu, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

GEAL: Generalizable 3D Affordance Learning with Cross-Modal Consistency.

Dongyue Lu, Lingdong Kong, Tianxin Huang, Gim Hee Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding.

Rong Li, Shijie Li, Lingdong Kong, Xulei Yang, Junwei Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

EventFly: Event Camera Perception from Ground to the Sky.

Lingdong Kong, Dongyue Lu, Xiang Xu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes.

Xiang Xu, Lingdong Kong, Hui Shuai, Liang Pan, Ziwei Liu, Qingshan Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Unified 3D and 4D Panoptic Segmentation via Dynamic Shifting Networks.

Fangzhou Hong, Lingdong Kong, Hui Zhou, Xinge Zhu, Hongsheng Li, Ziwei Liu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

FlexEvent: Event Camera Object Detection at Arbitrary Frequencies.

Dongyue Lu, Lingdong Kong, Gim Hee Lee, Camille Simon Chane, Wei Tsang Ooi

CoRR, 2024

DynamicCity: Large-Scale LiDAR Generation from Dynamic Scenes.

Hengwei Bian, Lingdong Kong, Haozhe Xie, Liang Pan, Yu Qiao, Ziwei Liu

CoRR, 2024

Point Transformer V3 Extreme: 1st Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation.

Xiaoyang Wu, Xiang Xu, Lingdong Kong, Liang Pan, Ziwei Liu, Tong He, Wanli Ouyang, Hengshuang Zhao

CoRR, 2024

An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models.

Jiahao Sun, Chunmei Qing, Xiang Xu, Lingdong Kong, Youquan Liu, Li Li, Chenming Zhu, Jingwei Zhang, Zeqi Xiao, Runnan Chen, Tai Wang, Wenwei Zhang, Kai Chen

CoRR, 2024

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition.

Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei Zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingwei Wang, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, Yubo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu

CoRR, 2024

Optimizing LiDAR Placements for Robust Driving Perception in Adverse Conditions.

Ye Li, Lingdong Kong, Hanjiang Hu, Xiaohao Xu, Xiaonan Huang

CoRR, 2024

Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation.

Jingyi Xu, Weidong Yang, Lingdong Kong, Youquan Liu, Rui Zhang, Qingyuan Zhou, Ben Fei

CoRR, 2024

Is Your LiDAR Placement Optimized for 3D Scene Understanding?

Ye Li, Lingdong Kong, Hanjiang Hu, Xiaohao Xu, Xiaonan Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Is Your HD Map Constructor Reliable under Sensor Corruptions?

Xiaoshuai Hao, Mengchuan Wei, Yifan Yang, Haimei Zhao, Hui Zhang, Yi Zhou, Qiang Wang, Weiming Li, Lingdong Kong, Jing Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

4D Contrastive Superflows are Dense 3D Representation Learners.

Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning to Adapt SAM for Segmenting Cross-Domain Point Clouds.

Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Yujing Sun, Tai Wang, Xinge Zhu, Yuexin Ma

Proceedings of the Computer Vision - ECCV 2024, 2024

Multi-Space Alignments Towards Universal LiDAR Segmentation.

Youquan Liu, Lingdong Kong, Xiaoyang Wu, Runnan Chen, Xin Li, Liang Pan, Ziwei Liu, Yuexin Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OpenESS: Event-Based Semantic Scene Understanding with Open Vocabularies.

Lingdong Kong, Youquan Liu, Lai Xing Ng, Benoit R. Cottereau, Wei Tsang Ooi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

SAM-guided Unsupervised Domain Adaptation for 3D Segmentation.

Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Tai Wang, Xinge Zhu, Yuexin Ma

CoRR, 2023

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation.

Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu

CoRR, 2023

SAD: Segment Any RGBD.

Jun Cen, Yizheng Wu, Kewei Wang, Xingyi Li, Jingkang Yang, Yixuan Pei, Lingdong Kong, Ziwei Liu, Qifeng Chen

CoRR, 2023

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions.

Shaoyuan Xie, Lingdong Kong, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu

CoRR, 2023

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective.

Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models.

Youquan Liu, Lingdong Kong, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions.

Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit Cottereau, Wei Tsang Ooi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Label-free Scene Understanding by Vision Foundation Models.

Runnan Chen, Youquan Liu, Lingdong Kong, Nenglun Chen, Xinge Zhu, Yuexin Ma, Tongliang Liu, Wenping Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Lingdong Kong, Niamul Quader, Venice Erin Liong

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase.

Youquan Liu, Runnan Chen, Xin Li, Lingdong Kong, Yuchen Yang, Zhaoyang Xia, Yeqi Bai, Xinge Zhu, Yuexin Ma, Yikang Li, Yu Qiao, Yuenan Hou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions.

Lingdong Kong, Youquan Liu, Xin Li, Runnan Chen, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rethinking Range View Representation for LiDAR Segmentation.

Lingdong Kong, Youquan Liu, Runnan Chen, Yuexin Ma, Xinge Zhu, Yikang Li, Yuenan Hou, Yu Qiao, Ziwei Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LaserMix for Semi-Supervised LiDAR Semantic Segmentation.

Lingdong Kong, Jiawei Ren, Liang Pan, Ziwei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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 Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised Video Domain Adaptation: A Disentanglement Perspective.

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

CoRR, 2022

2021

Mutual-Collision-Avoidance Scheme Synthesized by Neural Networks for Dual Redundant Robot Manipulators Executing Cooperative Tasks.

Zhijun Zhang, Lunan Zheng, Zhuoming Chen, Lingdong Kong, Hamid Reza Karimi

IEEE Trans. Neural Networks Learn. Syst., 2021

Free Lunch for Co-Saliency Detection: Context Adjustment.

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

CoRR, 2021

2020

Robustness Analysis of a Power-Type Varying-Parameter Recurrent Neural Network for Solving Time-Varying QM and QP Problems and Applications.

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

IEEE Trans. Syst. Man Cybern. Syst., 2020

A Circadian Rhythms Learning Network for Resisting Cognitive Periodic Noises of Time-Varying Dynamic System and Applications to Robots.

Zhijun Zhang, Xianzhi Deng, Lingdong Kong, Shuai Li

IEEE Trans. Cogn. Dev. Syst., 2020

Kinematic Resolutions of Redundant Robot Manipulators using Integration-Enhanced RNNs.

Lingdong Kong

CoRR, 2020

Modification of Gesture-Determined-Dynamic Function with Consideration of Margins for Motion Planning of Humanoid Robots.

Zhijun Zhang, Lingdong Kong, Yaru Niu, Ziang Liang

CoRR, 2020

2019

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

Zhijun Zhang, Ling-Dong Kong, Lunan Zheng

IEEE Trans. Neural Networks Learn. Syst., 2019

2018

A Varying-Gain Recurrent Neural Network and Its Application to Solving Online Time-Varying Matrix Equation.

Zhijun Zhang, Xianzhi Deng, Xilong Qu, Bolin Liao, Ling-Dong Kong, Lulan Li

IEEE Access, 2018

Comparisons among Six Numerical Methods for Solving Repetitive Motion Planning of Redundant Robot Manipulators.

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

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

Analysis of Influencing Factors on Humanoid Robots' Emotion Expressions by Body Language.

Zhijun Zhang, Yaru Niu, Shangen Wu, Shuyang Lin, Lingdong Kong

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

A Time-Varying-Constrained Motion Generation Scheme for Humanoid Robot Arms.

Zhijun Zhang, Lingdong Kong, Yaru Niu

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

2010

A fuzzy spatial Petri nets.

Lingdong Kong, Hong Zhang

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009

Research of Coal and Gas Outburst Forecasting Based on Immune Genetic Neural Network.

Yu Zhu, Hong Zhang, Ling-Dong Kong

Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009

Research of Coal-Gas Outburst Forecasting Based on Artificial Immune Network Clustering Model.

Yu Zhu, Hong Zhang, Ling-Dong Kong

Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009

2007

Generalized Association Rule Mining Algorithms based on Data Cube.

Hong Zhang, Bo Zhang, Lingdong Kong, Zhengxing Cai

Proceedings of the 8th ACIS International Conference on Software Engineering, 2007