Lingdong Kong

According to our database, Lingdong Kong authored at least 102 papers between 2007 and 2026.

Collaborative distances:

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

2026

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond.

Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin, Lingdong Kong, Jize Zhang, Teng Tu, Weijian Ma, Ziqi Huang, Senqiao Yang, Wei Huang, Yeying Jin, Zhefan Rao, Jinhui Ye, Xinyu Lin, Xichen Zhang, Qisheng Hu, Shuai Yang, Leyang Shen, Wei Chow, Yifei Dong, Fengyi Wu, Quanyu Long, Bin Xia, Shaozuo Yu, Mingkang Zhu, Wenhu Zhang, Jiehui Huang, Haokun Gui, Haoxuan Che, Long Chen, Qifeng Chen, Wenxuan Zhang, Wenya Wang, Xiaojuan Qi, Yang Deng, Yanwei Li, Mike Zheng Shou, Zhi-Qi Cheng, See-Kiong Ng, Ziwei Liu, Philip Torr, Jiaya Jia

CoRR, April, 2026

The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview.

Kai Liu, Haoyang Yue, Zeli Lin, Zheng Chen, Jingkai Wang, Jue Gong, Jiatong Li, Xianglong Yan, Libo Zhu, Jianze Li, Ziqing Zhang, Zihan Zhou, Xiaoyang Liu, Radu Timofte, Yulun Zhang, Junye Chen, Zhenming Yan, Yucong Hong, Ruize Han, Song Wang, Li Pang, Heng Zhao, Xinqiao Wu, Deyu Meng, Xiangyong Cao, Weijun Yuan, Zhan Li, Zhanglu Chen, Boyang Yao, Yihang Chen, Yifan Deng, Zengyuan Zuo, Junjun Jiang, Saiprasad Meesiyawar, Sulocha Yatageri, Nikhil Akalwadi, Ramesh Ashok Tabib, Uma Mudenagudi, Jiachen Tu, Yaokun Shi, Guoyi Xu, Yaoxin Jiang, Cici Liu, Tongyao Mu, Qiong Cao, Yifan Wang, Kosuke Shigematsu, Hiroto Shirono, Asuka Shin, Wei Zhou, Linfeng Li, Lingdong Kong, Ce Wang, Xingwei Zhong, Wanjie Sun, Dafeng Zhang, Hongxin Lan, Qisheng Xu, Mingyue He, Hui Geng, Tianjiao Wan, Kele Xu, Changjian Wang, Antoine Carreaud, Nicola Santacroce, Shanci Li, Jan Skaloud, Adrien Gressin

CoRR, April, 2026

OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation.

Jinghui Lu, Jiayi Guan, Zhijian Huang, Jinlong Li, Guang Li, Lingdong Kong, Yingyan Li, Han Wang, Shaoqing Xu, Yuechen Luo, Fang Li, Chenxu Dang, Junli Wang, Tao Xu, Jing Wu, Jianhua Wu, Xiaoshuai Hao, Wen Zhang, Tianyi Jiang, Lingfeng Zhang, Lei Zhou, Yingbo Tang, Jie Wang, Yinfeng Gao, Xizhou Bu, Haochen Tian, Yihang Qiu, Feiyang Jia, Lin Liu, Yigu Ge, Hanbing Li, Yuannan Shen, Jianwei Cui, Hongwei Xie, Bing Wang, Haiyang Sun, Jingwei Zhao, Jiahui Huang, Pei Liu, Zeyu Zhu, Yuncheng Jiang, Zibin Guo, Chuhong Gong, Hanchao Leng, Kun Ma, Naiyang Wang, Guang Chen, Kuiyuan Yang, Hangjun Ye, Long Chen

CoRR, April, 2026

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

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

IEEE Robotics Autom. Lett., March, 2026

Enhanced Spatiotemporal Consistency for Image-to-LiDAR Data Pretraining.

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

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

Language-Conditioned World Modeling for Visual Navigation.

Yifei Dong, Fengyi Wu, Yilong Dai, Lingdong Kong, Guangyu Chen, Xu Zhu, Qiyu Hu, Tianyu Wang, Johnalbert Garnica, Feng Liu, Siyu Huang, Qi Dai, Zhi-Qi Cheng

CoRR, March, 2026

AdaSFormer: Adaptive Serialized Transformers for Monocular Semantic Scene Completion from Indoor Environments.

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

CoRR, March, 2026

NavThinker: Action-Conditioned World Models for Coupled Prediction and Planning in Social Navigation.

Tianshuai Hu, Zeying Gong, Lingdong Kong, XiaoDong Mei, Yiyi Ding, Qi Zeng, Ao Liang, Rong Li, Yangyi Zhong, Junwei Liang

CoRR, March, 2026

FLUX: Accelerating Cross-Embodiment Generative Navigation Policies via Rectified Flow and Static-to-Dynamic Learning.

Zeying Gong, Yangyi Zhong, Yiyi Ding, Tianshuai Hu, Guoyang Zhao, Lingdong Kong, Rong Li, Jiadi You, Junwei Liang

CoRR, March, 2026

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

IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms.

Lingdong Kong, Shaoyuan Xie, Zeying Gong, Ye Li, Meng Chu, Ao Liang, Yuhao Dong, Tianshuai Hu, Ronghe Qiu, Rong Li, Hanjiang Hu, Dongyue Lu, Wei Yin, Wenhao Ding, Linfeng Li, Hang Song, Wenwei Zhang, Yuexin Ma, Junwei Liang, Zhedong Zheng, Lai Xing Ng, Benoit R. Cottereau, Wei Tsang Ooi, Ziwei Liu

CoRR, January, 2026

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

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems.

Song Wang, Lingdong Kong, Xiaolu Liu, Hao Shi, Wentong Li, Jianke Zhu, Steven C. H. Hoi

CoRR, December, 2025

Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future.

Tianshuai Hu, Xiaolu Liu, Song Wang, Yiyao Zhu, Ao Liang, Lingdong Kong, Guoyang Zhao, Zeying Gong, Jun Cen, Zhiyu Huang, Xiaoshuai Hao, Linfeng Li, Hang Song, Xiangtai Li, Jun Ma, Shaojie Shen, Jianke Zhu, Dacheng Tao, Ziwei Liu, Junwei Liang

CoRR, December, 2025

EditMGT: Unleashing Potentials of Masked Generative Transformers in Image Editing.

Wei Chow, Linfeng Li, Lingdong Kong, Zefeng Li, Qi Xu, Hang Song, Tian Ye, Xian Wang, Jinbin Bai, Shilin Xu, Xiangtai Li, Junting Pan, Shaoteng Liu, Ran Zhou, Tianshu Yang, Songhua Liu

CoRR, December, 2025

WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World.

Ao Liang, Lingdong Kong, Tianyi Yan, Hongsi Liu, Wesley Yang, Ziqi Huang, Wei Yin, Jialong Zuo, Yixuan Hu, Dekai Zhu, Dongyue Lu, Youquan Liu, Guangfeng Jiang, Linfeng Li, Xiangtai Li, Long Zhuo, Lai Xing Ng, Benoit R. Cottereau, Changxin Gao, Liang Pan, Wei Tsang Ooi, Ziwei Liu

CoRR, December, 2025

Learning to Remove Lens Flare in Event Camera.

Haiqian Han, Lingdong Kong, Jianing Li, Ao Liang, Chengtao Zhu, Jiacheng Lyu, Lai Xing Ng, Xiangyang Ji, Wei Tsang Ooi, Benoit R. Cottereau

CoRR, December, 2025

U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences.

Xiang Xu, Ao Liang, Youquan Liu, Linfeng Li, Lingdong Kong, Ziwei Liu, Qingshan Liu

CoRR, December, 2025

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

Jingyi Xu, Weidong Yang, Lingdong Kong, Youquan Liu, Qingyuan Zhou, Rui Zhang, Zhijun Li, Wen-Ming Chen, Ben Fei

IEEE Trans. Intell. Transp. Syst., November, 2025

AD-R1: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving with Impartial World Models.

Tianyi Yan, Tao Tang, Xingtai Gui, Yongkang Li, Jiasen Zhesng, Weiyao Huang, Lingdong Kong, Wencheng Han, Xia Zhou, Xueyang Zhang, Yifei Zhan, Kun Zhan, Chengzhong Xu, Jianbing Shen

CoRR, November, 2025

3EED: Ground Everything Everywhere in 3D.

Rong Li, Yuhao Dong, Tianshuai Hu, Ao Liang, Youquan Liu, Dongyue Lu, Liang Pan, Lingdong Kong, Junwei Liang, Ziwei Liu

CoRR, November, 2025

SEE4D: Pose-Free 4D Generation via Auto-Regressive Video Inpainting.

Dongyue Lu, Ao Liang, Tianxin Huang, Xiao Fu, Yuyang Zhao, Baorui Ma, Liang Pan, Wei Yin, Lingdong Kong, Wei Tsang Ooi, Ziwei Liu

CoRR, October, 2025

Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence.

Jiahao Meng, Xiangtai Li, Haochen Wang, Yue Tan, Tao Zhang, Lingdong Kong, Yunhai Tong, Anran Wang, Zhiyang Teng, Yujing Wang, Zhuochen Wang

CoRR, October, 2025

VideoLucy: Deep Memory Backtracking for Long Video Understanding.

Jialong Zuo, Yongtai Deng, Lingdong Kong, Jingkang Yang, Rui Jin, Yiwei Zhang, Nong Sang, Liang Pan, Ziwei Liu, Changxin Gao

CoRR, October, 2025

RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning.

Sicheng Feng, Kaiwen Tuo, Song Wang, Lingdong Kong, Jianke Zhu, Huan Wang

CoRR, October, 2025

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

Xuzhi Wang, Wei Feng, Lingdong Kong, Liang Wan

IEEE Trans. Circuits Syst. Video Technol., September, 2025

Learning to Generate 4D LiDAR Sequences.

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

CoRR, September, 2025

Visual Grounding 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, September, 2025

3D and 4D World Modeling: A Survey.

Lingdong Kong, Wesley Yang, Jianbiao Mei, Youquan Liu, Ao Liang, Dekai Zhu, Dongyue Lu, Wei Yin, Xiaotao Hu, Mingkai Jia, Junyuan Deng, Kaiwen Zhang, Yang Wu, Tianyi Yan, Shenyuan Gao, Song Wang, Linfeng Li, Liang Pan, Yong Liu, Jianke Zhu, Wei Tsang Ooi, Steven C. H. Hoi, Ziwei Liu

CoRR, September, 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

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

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

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

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

SafeMap: Robust HD Map Construction from Incomplete Observations.

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

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

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

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

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

Monocular Semantic Scene Completion via Masked Recurrent Networks.

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

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

Perspective-Invariant 3D Object Detection.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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 37: 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 37: 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