Deep Learning Based Automatic Crack Detection and Segmentation for Unmanned Aerial Vehicle Inspections. - Kangcheng Liu; Xiaodong Han; Ben M. Chen (ROBIO, 2019)

FG-Net: Fast Large-Scale LiDAR Point CloudsUnderstanding Network Leveraging CorrelatedFeature Mining and Geometric-Aware Modelling. - Kangcheng Liu; Zhi Gao; Feng Lin 003; Ben M. Chen (CoRR, 2020)

FG-Conv: Large-Scale LiDAR Point Clouds Understanding Leveraging Feature Correlation Mining and Geometric-Aware Modeling. - Kangcheng Liu; Zhi Gao; Feng Lin 003; Ben M. Chen (ICRA, 2021)

Legacy Photo Editing with Learned Noise Prior. - Yuzhi Zhao; Lai-Man Po; Tingyu Lin 002; Xuehui Wang; Kangcheng Liu; Yujia Zhang 002; Wing Yin Yu; Pengfei Xian; Jingjing Xiong (WACV, 2021)

Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination. - Kangcheng Liu; Yuzhi Zhao; Qiang Nie; Zhi Gao; Ben M. Chen (ECCV (28), 2022)

A Light-Weight LiDAR-Inertial SLAM System with High Efficiency and Loop Closure Detection Capacity. - Kangcheng Liu; Huosen Ou (ICARM, 2022)

Datasets and Methods for Boosting Infrastructure Inspection: A Survey on Defect Segmentation and Detection. - Kangcheng Liu; Guidong Yang; Jihan Zhang; Zuoquan Zhao; Xi Chen 104; Ben M. Chen (ICCA, 2022)

An Enhanced LiDAR Inertial Localization and Mapping System for Unmanned Ground Vehicles. - Kangcheng Liu; Xunkuai Zhou; Ben M. Chen (ICCA, 2022)

An Integrated Visual System for Unmanned Aerial Vehicles Following Ground Vehicles: Simulations and Experiments. - Kangcheng Liu; Xunkuai Zhou; Benyun Zhao; Huosen Ou; Ben M. Chen (ICCA, 2022)

Datasets and Methods for Boosting Infrastructure Inspection: A Survey on Defect Classification. - Guidong Yang; Kangcheng Liu; Zuoquan Zhao; Jihan Zhang; Xi Chen 104; Ben M. Chen (ICCA, 2022)

WeakLabel3D-Net: A Complete Framework for Real-Scene LiDAR Point Clouds Weakly Supervised Multi-Tasks Understanding. - Kangcheng Liu; Yuzhi Zhao; Zhi Gao; Ben M. Chen (ICRA, 2022)

D-LC-Nets: Robust Denoising and Loop Closing Networks for LiDAR SLAM in Complicated Circumstances with Noisy Point Clouds. - Kangcheng Liu; Aoran Xiao; Jiaxing Huang 001; Kaiwen Cui; Yun Xing 001; Shijian Lu (IROS, 2022)

Robust Industrial UAV/UGV-Based Unsupervised Domain Adaptive Crack Recognitions with Depth and Edge Awareness: From System and Database Constructions to Real-Site Inspections. - Kangcheng Liu (ACM Multimedia, 2022)

Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic Segmentation. - Kangcheng Liu (CoRR, 2022)

An Integrated LiDAR-SLAM System for Complex Environment with Noisy Point Clouds. - Kangcheng Liu (CoRR, 2022)

A Light-Weight LiDAR-Inertial SLAM System with Loop Closing. - Kangcheng Liu; Huosen Ou (CoRR, 2022)

An Enhanced LiDAR-Inertial SLAM System for Robotics Localization and Mapping. - Kangcheng Liu (CoRR, 2022)

FAC: 3D Representation Learning via Foreground Aware Feature Contrast. - Kangcheng Liu; Aoran Xiao; Xiaoqin Zhang 002; Shijian Lu; Ling Shao 001 (CVPR, 2023)

3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds. - Aoran Xiao; Jiaxing Huang 001; Weihao Xuan; Ruijie Ren; Kangcheng Liu; Dayan Guan; Abdulmotaleb El-Saddik; Shijian Lu; Eric P. Xing (CVPR, 2023)

DoubleBee: A Hybrid Aerial-Ground Robot with Two Active Wheels. - Muqing Cao; Xinhang Xu; Shenghai Yuan; Kun Cao 002; Kangcheng Liu; Lihua Xie 001 (IROS, 2023)

Path Planning for Multiple Tethered Robots Using Topological Braids. - Muqing Cao; Kun Cao 002; Shenghai Yuan; Kangcheng Liu; Yan Loi Wong; Lihua Xie 001 (Robotics: Science and Systems, 2023)

An Integrated Visual System for Unmanned Aerial Vehicles Tracking and Landing on the Ground Vehicles. - Kangcheng Liu (CoRR, 2023)

A LiDAR-Inertial-Visual SLAM System with Loop Detection. - Kangcheng Liu (CoRR, 2023)

Learning-Based Defect Recognitions for Autonomous UAV Inspections. - Kangcheng Liu (CoRR, 2023)

Generalized Label-Efficient 3D Scene Parsing via Hierarchical Feature Aligned Pre-Training and Region-Aware Fine-tuning. - Kangcheng Liu; Yong-Jin Liu 001; Kai Tang 001; Ming Liu 001; Baoquan Chen (CoRR, 2023)

A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors. - Kangcheng Liu (CoRR, 2023)

A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing. - Kangcheng Liu (CoRR, 2023)

FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding. - Kangcheng Liu; Zhi Gao; Feng Lin 003; Ben M. Chen (IEEE Trans. Cybern., 2023)

SVCNet: Scribble-Based Video Colorization Network With Temporal Aggregation. - Yuzhi Zhao; Lai-Man Po; Kangcheng Liu; Xuehui Wang; Wing Yin Yu; Pengfei Xian; Yujia Zhang 002; Mengyang Liu (IEEE Trans. Image Process., 2023)

RM3D: Robust Data-Efficient 3D Scene Parsing via Traditional and Learnt 3D Descriptors-Based Semantic Region Merging. - Kangcheng Liu (Int. J. Comput. Vis., 2023)

Industrial UAV-Based Unsupervised Domain Adaptive Crack Recognitions: From Database Towards Real-Site Infrastructural Inspections. - Kangcheng Liu; Ben M. Chen (IEEE Trans. Ind. Electron., 2023)

Synergizing Low Rank Representation and Deep Learning for Automatic Pavement Crack Detection. - Zhi Gao; Xuhui Zhao; Min Cao; Ziyao Li; Kangcheng Liu; Ben M. Chen (IEEE Trans. Intell. Transp. Syst., 2023)

Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students. - Xu Zheng 002; Yunhao Luo 001; Chong Fu 001; Kangcheng Liu; Lin Wang 025 (ICRA, 2024)

Outram: One-shot Global Localization via Triangulated Scene Graph and Global Outlier Pruning. - Pengyu Yin; Haozhi Cao; Thien-Minh Nguyen; Shenghai Yuan; Shuyang Zhang; Kangcheng Liu; Lihua Xie 001 (ICRA, 2024)

ECFO: An Efficient Edge Classification-Based Fusion Optimizer for Deep Learning Compilers. - Wei Li 008; Pengcheng Wang; Yutong Wu; Kangcheng Liu; Lide Xue; Zidong Du; Xishan Zhang; Xuehai Zhou (SMC, 2024)

Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle "Snow Lion". - Yingbing Chen; Jie Cheng 008; Sheng Wang 017; Hongji Liu; Xiaodong Mei 001; Xiaoyang Yan; Mingkai Tang 002; Ge Sun; Ya Wen; Junwei Cai; Xupeng Xie; Lu Gan 001; et al. (CoRR, 2024)

LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering. - Sheng Hong; Junjie He; Xinhu Zheng; Hesheng Wang 001; Hao Fang; Kangcheng Liu; Chunran Zheng; Shaojie Shen (CoRR, 2024)

Online Robot Navigation and and Manipulation with Distilled Vision-Language Models. - Kangcheng Liu; Xinhu Zheng; Chaoqun Wang; Hesheng Wang 001; Ming Liu 001; Kai Tang 001 (CoRR, 2024)

Salient Sparse Visual Odometry With Pose-Only Supervision. - Siyu Chen; Kangcheng Liu; Chen Wang 033; Shenghai Yuan; Jianfei Yang; Lihua Xie 001 (IEEE Robotics Autom. Lett., 2024)

Domain Adaptive LiDAR Point Cloud Segmentation via Density-Aware Self-Training. - Aoran Xiao; Jiaxing Huang 001; Kangcheng Liu; Dayan Guan; Xiaoqin Zhang 002; Shijian Lu (IEEE Trans. Intell. Transp. Syst., 2024)

Bottom-Up and Top-Down Thoughts for Visual Intention Grounding. - Kangcheng Liu; Junbin Xiao; Rui Zhang 040; Hanqi Lv; Zidong Du (ICMR, 2025)

Generalized Robot Vision-Language Model via Linguistic Foreground-Aware Contrast. - Kangcheng Liu; Chaoqun Wang; Xiaodong Han; Yong-Jin Liu 001; Baoquan Chen (Int. J. Comput. Vis., 2025)

Correction: Generalized Robot Vision-Language Model via Linguistic Foreground-Aware Contrast. - Kangcheng Liu; Chaoqun Wang; Xiaodong Han; Yong-Jin Liu 001; Baoquan Chen (Int. J. Comput. Vis., 2025)

General 3D Vision-Language Model With Fast Rendering and Pre-Training Vision-Language Alignment. - Kangcheng Liu; Yong-Jin Liu 001; Baoquan Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2025)