Kangcheng Liu - RankMe

60 papers A* 9A 6B 2Journal 35Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LocalV: Exploiting Information Locality for IP-level Verilog Generation. CoRR Han-Qi Lyu, Di Huang, Yaoyu Zhu, Kangcheng Liu, Bohan Dou, Chongxiao Li, Pengwei Jin, Shuyao Cheng, Rui Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen
2026	A*	`conf`	VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models. AAAI Mingjie Xu, Jinpeng Chen, Yuzhi Zhao, Jason Chun Lok Li, Yue Qiu, Zekang Du, Mengyang Wu, Pingping Zhang, Kun Li, Hongzheng Yang, Wenao Ma, Jiaheng Wei, Qinbin Li, Kangcheng Liu, Wenqiang Lei
2025	A*	`conf`	AesBiasBench: Evaluating Bias and Alignment in Multimodal Language Models for Personalized Image Aesthetic Assessment. EMNLP Kun Li, Lai Man Po, Hongzheng Yang, Xuyuan Xu, Kangcheng Liu, Yuzhi Zhao
2025	J	`jnl`	AesBiasBench: Evaluating Bias and Alignment in Multimodal Language Models for Personalized Image Aesthetic Assessment. CoRR Kun Li, Lai-Man Po, Hongzheng Yang, Xuyuan Xu, Kangcheng Liu, Yuzhi Zhao
2025	B	`conf`	Bottom-Up and Top-Down Thoughts for Visual Intention Grounding. ICMR Kangcheng Liu, Junbin Xiao, Rui Zhang, Hanqi Lv, Zidong Du
2025	J	`jnl`	Correction: Generalized Robot Vision-Language Model via Linguistic Foreground-Aware Contrast. Int. J. Comput. Vis. Kangcheng Liu, Chaoqun Wang, Xiaodong Han, Yong-Jin Liu, Baoquan Chen
2025	A	`conf`	Dual-Mode Passive Fault-Tolerant Control for Underwater Vehicles with Actuator Faults and Time-Varying Disturbances. IROS Yizong Chen, Jun Wei, Zhiqiang Miao, Kangcheng Liu, Yaonan Wang
2025	J	`jnl`	General 3D Vision-Language Model With Fast Rendering and Pre-Training Vision-Language Alignment. IEEE Trans. Pattern Anal. Mach. Intell. Kangcheng Liu, Yong-Jin Liu, Baoquan Chen
2025	J	`jnl`	Generalized Robot Vision-Language Model via Linguistic Foreground-Aware Contrast. Int. J. Comput. Vis. Kangcheng Liu, Chaoqun Wang, Xiaodong Han, Yong-Jin Liu, Baoquan Chen
2025	A	`conf`	GeoScene: Temporal 3D Semantic Scene Completion with Geometric Correlation between Images. IROS Xiaoyu Zhu, Xiaogang Zhang, Hua Chen, Zhiqiang Miao, Yaonan Wang, Kangcheng Liu
2025	J	`jnl`	VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models. CoRR Mingjie Xu, Jinpeng Chen, Yuzhi Zhao, Jason Chun Lok Li, Yue Qiu, Zekang Du, Mengyang Wu, Pingping Zhang, Kun Li, Hongzheng Yang, Wenao Ma, Jiaheng Wei, Qinbin Li, Kangcheng Liu, Wenqiang Lei
2025	A	`conf`	WLuav: An Air-Ground Robot with High Ground Adaptability and Trajectory Tracking Performance. IROS Shijie Huang, Zhiqiang Miao, Chuanpeng Niu, Kangcheng Liu, Yaonan Wang
2024	J	`jnl`	Domain Adaptive LiDAR Point Cloud Segmentation via Density-Aware Self-Training. IEEE Trans. Intell. Transp. Syst. Aoran Xiao, Jiaxing Huang, Kangcheng Liu, Dayan Guan, Xiaoqin Zhang, Shijian Lu
2024	B	`conf`	ECFO: An Efficient Edge Classification-Based Fusion Optimizer for Deep Learning Compilers. SMC Wei Li, Pengcheng Wang, Yutong Wu, Kangcheng Liu, Lide Xue, Zidong Du, Xishan Zhang, Xuehai Zhou
2024	J	`jnl`	Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle "Snow Lion". CoRR Yingbing Chen, Jie Cheng, Sheng Wang, Hongji Liu, Xiaodong Mei, Xiaoyang Yan, Mingkai Tang, Ge Sun, Ya Wen, Junwei Cai, Xupeng Xie, Lu Gan, Mandan Chao, Ren Xin, Ming Liu, Jianhao Jiao, Kangcheng Liu, Lujia Wang
2024	J	`jnl`	LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering. CoRR Sheng Hong, Junjie He, Xinhu Zheng, Hesheng Wang, Hao Fang, Kangcheng Liu, Chunran Zheng, Shaojie Shen
2024	J	`jnl`	Online Robot Navigation and and Manipulation with Distilled Vision-Language Models. CoRR Kangcheng Liu, Xinhu Zheng, Chaoqun Wang, Hesheng Wang, Ming Liu, Kai Tang
2024	A*	`conf`	Outram: One-shot Global Localization via Triangulated Scene Graph and Global Outlier Pruning. ICRA Pengyu Yin, Haozhi Cao, Thien-Minh Nguyen, Shenghai Yuan, Shuyang Zhang, Kangcheng Liu, Lihua Xie
2024	J	`jnl`	Salient Sparse Visual Odometry With Pose-Only Supervision. CoRR Siyu Chen, Kangcheng Liu, Chen Wang, Shenghai Yuan, Jianfei Yang, Lihua Xie
2024	J	`jnl`	Salient Sparse Visual Odometry With Pose-Only Supervision. IEEE Robotics Autom. Lett. Siyu Chen, Kangcheng Liu, Chen Wang, Shenghai Yuan, Jianfei Yang, Lihua Xie
2024	A*	`conf`	Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students. ICRA Xu Zheng, Yunhao Luo, Chong Fu, Kangcheng Liu, Lin Wang
2023	A*	`conf`	3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds. CVPR Aoran Xiao, Jiaxing Huang, Weihao Xuan, Ruijie Ren, Kangcheng Liu, Dayan Guan, Abdulmotaleb El Saddik, Shijian Lu, Eric P. Xing
2023	J	`jnl`	3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds. CoRR Aoran Xiao, Jiaxing Huang, Weihao Xuan, Ruijie Ren, Kangcheng Liu, Dayan Guan, Abdulmotaleb El Saddik, Shijian Lu, Eric P. Xing
2023	J	`jnl`	A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing. CoRR Kangcheng Liu
2023	J	`jnl`	A LiDAR-Inertial-Visual SLAM System with Loop Detection. CoRR Kangcheng Liu
2023	J	`jnl`	A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors. CoRR Kangcheng Liu
2023	J	`jnl`	An Integrated Visual System for Unmanned Aerial Vehicles Tracking and Landing on the Ground Vehicles. CoRR Kangcheng Liu
2023	A	`conf`	DoubleBee: A Hybrid Aerial-Ground Robot with Two Active Wheels. IROS Muqing Cao, Xinhang Xu, Shenghai Yuan, Kun Cao, Kangcheng Liu, Lihua Xie
2023	J	`jnl`	DoubleBee: A Hybrid Aerial-Ground Robot with Two Active Wheels. CoRR Muqing Cao, Xinhang Xu, Shenghai Yuan, Kun Cao, Kangcheng Liu, Lihua Xie
2023	A*	`conf`	FAC: 3D Representation Learning via Foreground Aware Feature Contrast. CVPR Kangcheng Liu, Aoran Xiao, Xiaoqin Zhang, Shijian Lu, Ling Shao
2023	J	`jnl`	FAC: 3D Representation Learning via Foreground Aware Feature Contrast. CoRR Kangcheng Liu, Aoran Xiao, Xiaoqin Zhang, Shijian Lu, Ling Shao
2023	J	`jnl`	FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding. IEEE Trans. Cybern. Kangcheng Liu, Zhi Gao, Feng Lin, Ben M. Chen
2023	J	`jnl`	Generalized Label-Efficient 3D Scene Parsing via Hierarchical Feature Aligned Pre-Training and Region-Aware Fine-tuning. CoRR Kangcheng Liu, Yong-Jin Liu, Kai Tang, Ming Liu, Baoquan Chen
2023	J	`jnl`	Industrial UAV-Based Unsupervised Domain Adaptive Crack Recognitions: From Database Towards Real-Site Infrastructural Inspections. IEEE Trans. Ind. Electron. Kangcheng Liu, Ben M. Chen
2023	J	`jnl`	Learning-Based Defect Recognitions for Autonomous UAV Inspections. CoRR Kangcheng Liu
2023	J	`jnl`	Outram: One-shot Global Localization via Triangulated Scene Graph and Global Outlier Pruning. CoRR Pengyu Yin, Haozhi Cao, Thien-Minh Nguyen, Shenghai Yuan, Shuyang Zhang, Kangcheng Liu, Lihua Xie
2023	—	`conf`	Path Planning for Multiple Tethered Robots Using Topological Braids. Robotics: Science and Systems Muqing Cao, Kun Cao, Shenghai Yuan, Kangcheng Liu, Yan Loi Wong, Lihua Xie
2023	J	`jnl`	Path Planning for Multiple Tethered Robots Using Topological Braids. CoRR Muqing Cao, Kun Cao, Shenghai Yuan, Kangcheng Liu, Yan Loi Wong, Lihua Xie
2023	J	`jnl`	RM3D: Robust Data-Efficient 3D Scene Parsing via Traditional and Learnt 3D Descriptors-Based Semantic Region Merging. Int. J. Comput. Vis. Kangcheng Liu
2023	J	`jnl`	SVCNet: Scribble-Based Video Colorization Network With Temporal Aggregation. IEEE Trans. Image Process. Yuzhi Zhao, Lai-Man Po, Kangcheng Liu, Xuehui Wang, Wing Yin Yu, Pengfei Xian, Yujia Zhang, Mengyang Liu
2023	J	`jnl`	SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation. CoRR Yuzhi Zhao, Lai-Man Po, Kangcheng Liu, Xuehui Wang, Wing Yin Yu, Pengfei Xian, Yujia Zhang, Mengyang Liu
2023	J	`jnl`	Synergizing Low Rank Representation and Deep Learning for Automatic Pavement Crack Detection. IEEE Trans. Intell. Transp. Syst. Zhi Gao, Xuhui Zhao, Min Cao, Ziyao Li, Kangcheng Liu, Ben M. Chen
2022	—	`conf`	A Light-Weight LiDAR-Inertial SLAM System with High Efficiency and Loop Closure Detection Capacity. ICARM Kangcheng Liu, Huosen Ou
2022	J	`jnl`	A Light-Weight LiDAR-Inertial SLAM System with Loop Closing. CoRR Kangcheng Liu, Huosen Ou
2022	—	`conf`	An Enhanced LiDAR Inertial Localization and Mapping System for Unmanned Ground Vehicles. ICCA Kangcheng Liu, Xunkuai Zhou, Ben M. Chen
2022	J	`jnl`	An Enhanced LiDAR-Inertial SLAM System for Robotics Localization and Mapping. CoRR Kangcheng Liu
2022	J	`jnl`	An Integrated LiDAR-SLAM System for Complex Environment with Noisy Point Clouds. CoRR Kangcheng Liu
2022	—	`conf`	An Integrated Visual System for Unmanned Aerial Vehicles Following Ground Vehicles: Simulations and Experiments. ICCA Kangcheng Liu, Xunkuai Zhou, Benyun Zhao, Huosen Ou, Ben M. Chen
2022	A	`conf`	D-LC-Nets: Robust Denoising and Loop Closing Networks for LiDAR SLAM in Complicated Circumstances with Noisy Point Clouds. IROS Kangcheng Liu, Aoran Xiao, Jiaxing Huang, Kaiwen Cui, Yun Xing, Shijian Lu
2022	—	`conf`	Datasets and Methods for Boosting Infrastructure Inspection: A Survey on Defect Classification. ICCA Guidong Yang, Kangcheng Liu, Zuoquan Zhao, Jihan Zhang, Xi Chen, Ben M. Chen
2022	—	`conf`	Datasets and Methods for Boosting Infrastructure Inspection: A Survey on Defect Segmentation and Detection. ICCA Kangcheng Liu, Guidong Yang, Jihan Zhang, Zuoquan Zhao, Xi Chen, Ben M. Chen
2022	A*	`conf`	Robust Industrial UAV/UGV-Based Unsupervised Domain Adaptive Crack Recognitions with Depth and Edge Awareness: From System and Database Constructions to Real-Site Inspections. ACM Multimedia Kangcheng Liu
2022	J	`jnl`	Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic Segmentation. CoRR Kangcheng Liu
2022	A*	`conf`	WeakLabel3D-Net: A Complete Framework for Real-Scene LiDAR Point Clouds Weakly Supervised Multi-Tasks Understanding. ICRA Kangcheng Liu, Yuzhi Zhao, Zhi Gao, Ben M. Chen
2022	—	`conf`	Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination. ECCV (28) Kangcheng Liu, Yuzhi Zhao, Qiang Nie, Zhi Gao, Ben M. Chen
2021	A*	`conf`	FG-Conv: Large-Scale LiDAR Point Clouds Understanding Leveraging Feature Correlation Mining and Geometric-Aware Modeling. ICRA Kangcheng Liu, Zhi Gao, Feng Lin, Ben M. Chen
2021	A	`conf`	Legacy Photo Editing with Learned Noise Prior. WACV Yuzhi Zhao, Lai-Man Po, Tingyu Lin, Xuehui Wang, Kangcheng Liu, Yujia Zhang, Wing Yin Yu, Pengfei Xian, Jingjing Xiong
2020	J	`jnl`	FG-Net: Fast Large-Scale LiDAR Point CloudsUnderstanding Network Leveraging CorrelatedFeature Mining and Geometric-Aware Modelling. CoRR Kangcheng Liu, Zhi Gao, Feng Lin, Ben M. Chen
2020	J	`jnl`	Legacy Photo Editing with Learned Noise Prior. CoRR Yuzhi Zhao, Lai Man Po, Tingyu Lin, Xuehui Wang, Kangcheng Liu, Yujia Zhang, Wing Yin Yu, Pengfei Xian, Jingjing Xiong
2019	—	`conf`	Deep Learning Based Automatic Crack Detection and Segmentation for Unmanned Aerial Vehicle Inspections. ROBIO Kangcheng Liu, Xiaodong Han, Ben M. Chen