Generalized Association Rule Mining Algorithms based on Data Cube. - Hong Zhang; Bo Zhang 003; Lingdong Kong; Zhengxing Cai (SNPD (2), 2007)

Research of Coal-Gas Outburst Forecasting Based on Artificial Immune Network Clustering Model. - Yu Zhu; Hong Zhang; Ling-Dong Kong (WKDD, 2009)

Research of Coal and Gas Outburst Forecasting Based on Immune Genetic Neural Network. - Yu Zhu; Hong Zhang; Ling-Dong Kong (WKDD, 2009)

A fuzzy spatial Petri nets. - Lingdong Kong; Hong Zhang (FSKD, 2010)

A Time-Varying-Constrained Motion Generation Scheme for Humanoid Robot Arms. - Zhijun Zhang 003; Lingdong Kong; Yaru Niu (ISNN, 2018)

Analysis of Influencing Factors on Humanoid Robots' Emotion Expressions by Body Language. - Zhijun Zhang 003; Yaru Niu; Shangen Wu; Shuyang Lin; Lingdong Kong (ISNN, 2018)

Comparisons among Six Numerical Methods for Solving Repetitive Motion Planning of Redundant Robot Manipulators. - Zhijun Zhang 003; Lingdong Kong; Ziyi Yan; Ke Chen 006; Shuai Li 002; Xilong Qu; Ning Tan 003 (ROBIO, 2018)

A Varying-Gain Recurrent Neural Network and Its Application to Solving Online Time-Varying Matrix Equation. - Zhijun Zhang 003; Xianzhi Deng; Xilong Qu; Bolin Liao; Ling-Dong Kong; Lulan Li (IEEE Access, 2018)

Power-Type Varying-Parameter RNN for Solving TVQP Problems: Design, Analysis, and Applications. - Zhijun Zhang 003; Ling-Dong Kong; Lunan Zheng (IEEE Trans. Neural Networks Learn. Syst., 2019)

Modification of Gesture-Determined-Dynamic Function with Consideration of Margins for Motion Planning of Humanoid Robots. - Zhijun Zhang 003; Lingdong Kong; Yaru Niu; Ziang Liang (CoRR, 2020)

Kinematic Resolutions of Redundant Robot Manipulators using Integration-Enhanced RNNs. - Lingdong Kong (CoRR, 2020)

A Circadian Rhythms Learning Network for Resisting Cognitive Periodic Noises of Time-Varying Dynamic System and Applications to Robots. - Zhijun Zhang 003; Xianzhi Deng; Lingdong Kong; Shuai Li 002 (IEEE Trans. Cogn. Dev. Syst., 2020)

Robustness Analysis of a Power-Type Varying-Parameter Recurrent Neural Network for Solving Time-Varying QM and QP Problems and Applications. - Zhijun Zhang 003; Lingdong Kong; Lunan Zheng; Pengchao Zhang; Xilong Qu; Bolin Liao; Zhuliang Yu (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Free Lunch for Co-Saliency Detection: Context Adjustment. - Lingdong Kong; Prakhar Ganesh; Tan Wang; Junhao Liu 001; Yao Chen 008; Le Zhang (CoRR, 2021)

Mutual-Collision-Avoidance Scheme Synthesized by Neural Networks for Dual Redundant Robot Manipulators Executing Cooperative Tasks. - Zhijun Zhang 003; Lunan Zheng; Zhuoming Chen; Lingdong Kong; Hamid Reza Karimi (IEEE Trans. Neural Networks Learn. Syst., 2021)

Unsupervised Video Domain Adaptation: A Disentanglement Perspective. - Pengfei Wei 001; Lingdong Kong; Xinghua Qu; Xiang Yin 006; Zhiqiang Xu 003; Jing Jiang 002; Zejun Ma (CoRR, 2022)

CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP. - Runnan Chen; Youquan Liu; Lingdong Kong; Xinge Zhu; Yuexin Ma; Yikang Li 002; Yuenan Hou; Yu Qiao 001; Wenping Wang 001 (CVPR, 2023)

LaserMix for Semi-Supervised LiDAR Semantic Segmentation. - Lingdong Kong; Jiawei Ren 001; Liang Pan; Ziwei Liu 002 (CVPR, 2023)

Rethinking Range View Representation for LiDAR Segmentation. - Lingdong Kong; Youquan Liu; Runnan Chen; Yuexin Ma; Xinge Zhu; Yikang Li 002; Yuenan Hou; Yu Qiao 001; Ziwei Liu 002 (ICCV, 2023)

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions. - Lingdong Kong; Youquan Liu; Xin Li 110; Runnan Chen; Wenwei Zhang; Jiawei Ren 001; Liang Pan; Kai Chen 026; Ziwei Liu 002 (ICCV, 2023)

UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase. - Youquan Liu; Runnan Chen; Xin Li 110; Lingdong Kong; Yuchen Yang 003; Zhaoyang Xia; Yeqi Bai; Xinge Zhu; Yuexin Ma; Yikang Li 002; Yu Qiao 001; Yuenan Hou (ICCV, 2023)

ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation. - Lingdong Kong; Niamul Quader; Venice Erin Liong (ICRA, 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 001 (NeurIPS, 2023)

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions. - Lingdong Kong; Shaoyuan Xie; Hanjiang Hu; Lai Xing Ng; Benoit Cottereau; Wei Tsang Ooi (NeurIPS, 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 026; Ziwei Liu 002 (NeurIPS, 2023)

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective. - Pengfei Wei 001; Lingdong Kong; Xinghua Qu; Yi Ren 006; Zhiqiang Xu 003; Jing Jiang 002; Xiang Yin 006 (NeurIPS, 2023)

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions. - Shaoyuan Xie; Lingdong Kong; Wenwei Zhang; Jiawei Ren 001; Liang Pan; Kai Chen 026; Ziwei Liu 002 (CoRR, 2023)

SAD: Segment Any RGBD. - Jun Cen; Yizheng Wu; Kewei Wang 001; Xingyi Li; Jingkang Yang; Yixuan Pei; Lingdong Kong; Ziwei Liu 002; Qifeng Chen (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 001; Wei Tsang Ooi; Ruijie Zhu 002; Ziyang Song; et al. (CoRR, 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)

OpenESS: Event-Based Semantic Scene Understanding with Open Vocabularies. - Lingdong Kong; Youquan Liu; Lai Xing Ng; Benoit R. Cottereau; Wei Tsang Ooi (CVPR, 2024)

Multi-Space Alignments Towards Universal LiDAR Segmentation. - Youquan Liu; Lingdong Kong; Xiaoyang Wu 002; Runnan Chen; Xin Li 110; Liang Pan; Ziwei Liu 002; Yuexin Ma (CVPR, 2024)

Learning to Adapt SAM for Segmenting Cross-Domain Point Clouds. - Xidong Peng; Runnan Chen; Feng Qiao; Lingdong Kong; Youquan Liu; Yujing Sun 001; Tai Wang; Xinge Zhu; Yuexin Ma (ECCV (43), 2024)

4D Contrastive Superflows are Dense 3D Representation Learners. - Xiang Xu 009; Lingdong Kong; Hui Shuai; Wenwei Zhang; Liang Pan; Kai Chen 026; Ziwei Liu 002; Qingshan Liu 001 (ECCV (1), 2024)

Is Your HD Map Constructor Reliable under Sensor Corruptions? - Xiaoshuai Hao; Mengchuan Wei; Yifan Yang 007; Haimei Zhao; Hui Zhang 093; Yi Zhou 020; Qiang Wang; Weiming Li; Lingdong Kong; Jing Zhang 037 (NeurIPS, 2024)

Is Your LiDAR Placement Optimized for 3D Scene Understanding? - Ye Li; Lingdong Kong; Hanjiang Hu; Xiaohao Xu; Xiaonan Huang (NeurIPS, 2024)

Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation. - Jingyi Xu; Weidong Yang 001; Lingdong Kong; Youquan Liu; Rui Zhang 103; Qingyuan Zhou; Ben Fei (CoRR, 2024)

Optimizing LiDAR Placements for Robust Driving Perception in Adverse Conditions. - Ye Li; Lingdong Kong; Hanjiang Hu; Xiaohao Xu; Xiaonan Huang (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 026; Ziwei Liu 002; et al. (CoRR, 2024)

An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models. - Jiahao Sun; Chunmei Qing; Xiang Xu 009; Lingdong Kong; Youquan Liu; Li Li 092; Chenming Zhu; Jingwei Zhang; Zeqi Xiao; Runnan Chen; Tai Wang; Wenwei Zhang; et al. (CoRR, 2024)

Point Transformer V3 Extreme: 1st Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation. - Xiaoyang Wu 002; Xiang Xu 009; Lingdong Kong; Liang Pan; Ziwei Liu 002; Tong He 001; Wanli Ouyang; Hengshuang Zhao (CoRR, 2024)

DynamicCity: Large-Scale LiDAR Generation from Dynamic Scenes. - Hengwei Bian; Lingdong Kong; Haozhe Xie; Liang Pan; Yu Qiao 001; Ziwei Liu 002 (CoRR, 2024)

FlexEvent: Event Camera Object Detection at Arbitrary Frequencies. - Dongyue Lu; Lingdong Kong; Gim Hee Lee; Camille Simon Chane; Wei Tsang Ooi (CoRR, 2024)

Unified 3D and 4D Panoptic Segmentation via Dynamic Shifting Networks. - Fangzhou Hong; Lingdong Kong; Hui Zhou 005; Xinge Zhu; Hongsheng Li 001; Ziwei Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes. - Xiang Xu 009; Lingdong Kong; Hui Shuai; Liang Pan; Ziwei Liu 002; Qingshan Liu 001 (CVPR, 2025)

EventFly: Event Camera Perception from Ground to the Sky. - Lingdong Kong; Dongyue Lu; Xiang Xu 009; Lai Xing Ng; Wei Tsang Ooi; Benoit R. Cottereau (CVPR, 2025)

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding. - Rong Li; Shijie Li 006; Lingdong Kong; Xulei Yang; Junwei Liang 001 (CVPR, 2025)

GEAL: Generalizable 3D Affordance Learning with Cross-Modal Consistency. - Dongyue Lu; Lingdong Kong; Tianxin Huang; Gim Hee Lee (CVPR, 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 (CVPR, 2025)

DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes. - Hengwei Bian; Lingdong Kong; Haozhe Xie; Liang Pan; Yu Qiao 001; Ziwei Liu 002 (ICLR, 2025)

Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding. - Lingdong Kong; Xiang Xu 009; Jun Cen; Wenwei Zhang; Liang Pan; Kai Chen 026; Ziwei Liu 002 (WACV, 2025)

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation. - Xiang Xu 009; Lingdong Kong; Hui Shuai; Qingshan Liu 001 (IEEE Trans. Image Process., 2025)

OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies. - Runnan Chen; Xiangyu Sun; Zhaoqing Wang; Youquan Liu; Jiepeng Wang 001; Lingdong Kong; Jiankang Deng; Mingming Gong; Liang Pan; Wenping Wang 001; Tongliang Liu (CoRR, 2025)

MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception. - Xiaoshuai Hao; Guanqun Liu 008; Yuting Zhao; Yuheng Ji; Mengchuan Wei; Haimei Zhao; Lingdong Kong; Rong Yin 001; Yu Liu (CoRR, 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 002; Liang Pan (CoRR, 2025)

LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving. - Lingdong Kong; Xiang Xu 009; Youquan Liu; Jun Cen; Runnan Chen; Wenwei Zhang; Liang Pan; Kai Chen 026; Ziwei Liu 002 (CoRR, 2025)

SuperFlow++: Enhanced Spatiotemporal Consistency for Cross-Modal Data Pretraining. - Xiang Xu 009; Lingdong Kong; Hui Shuai; Wenwei Zhang; Liang Pan; Kai Chen 026; Ziwei Liu 002; Qingshan Liu 001 (CoRR, 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, 2025)

Zero-Shot 3D Visual Grounding from Vision-Language Models. - Rong Li; Shijie Li 006; Lingdong Kong; Xulei Yang; Junwei Liang 001 (CoRR, 2025)

SPIRAL: Semantic-Aware Progressive LiDAR Scene Generation. - Dekai Zhu; Yixuan Hu; Youquan Liu; Dongyue Lu; Lingdong Kong; Slobodan Ilic (CoRR, 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 001 (CoRR, 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, 2025)

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation. - Xuzhi Wang; Wei Feng; Lingdong Kong; Liang Wan (CoRR, 2025)

Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving. - Lingdong Kong; Xiang Xu 009; Jiawei Ren 001; Wenwei Zhang; Liang Pan; Kai Chen 026; Wei Tsang Ooi; Ziwei Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving. - Shaoyuan Xie; Lingdong Kong; Wenwei Zhang; Jiawei Ren 001; Liang Pan; Kai Chen 026; Ziwei Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 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 001; et al. (CoRR, 2025)

SafeMap: Robust HD Map Construction from Incomplete Observations. - Xiaoshuai Hao; Lingdong Kong; Rong Yin 001; Pengwei Wang; Jing Zhang 037; Yunfeng Diao; Shu Zhao (CoRR, 2025)

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations. - Xiang Xu 009; Lingdong Kong; Song Wang; Chuanwei Zhou; Qingshan Liu 001 (CoRR, 2025)

Monocular Semantic Scene Completion via Masked Recurrent Networks. - Xuzhi Wang; Xinran Wu; Song Wang; Lingdong Kong; Ziping Zhao (CoRR, 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, 2025)

Perspective-Invariant 3D Object Detection. - Ao Liang; Lingdong Kong; Dongyue Lu; Youquan Liu; Jian Fang; Huaici Zhao; Wei Tsang Ooi (CoRR, 2025)

Veila: Panoramic LiDAR Generation from a Monocular RGB Image. - Youquan Liu; Lingdong Kong; Weidong Yang 001; Ao Liang; Jianxiong Gao; Yang Wu; Xiang Xu 009; Xin Li 110; Linfeng Li; Runnan Chen; Ben Fei (CoRR, 2025)

La La LiDAR: Large-Scale Layout Generation from LiDAR Data. - Youquan Liu; Lingdong Kong; Weidong Yang 001; Xin Li 110; Ao Liang; Runnan Chen; Ben Fei; Tongliang Liu (CoRR, 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, 2025)