Liangchen Liu - RankMe

57 papers A* 3A 5B 7C 1Misc 1Journal 31Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images With Multi-Relationship Graph Learning. IEEE Trans. Medical Imaging Mengliang ZHang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Yan Yan, Ronald M. Summers, Yingying Zhu
2025	—	`conf`	Automatic Assessment of Facial Paralysis Severity from 3D Point Clouds. CCBR Liangchen Liu, Chengchao Li, Yue Yang, Qijun Zhao, Ziyu Li, Shune Tan, Jicheng Zhang, Xin Shao, Ziyi Guo, Xing Tang, Lanlan Wang, Chunlin Zhu, Chenman Zhang, Bingyu Chen, Yan Ai, Jing Wen
2025	J	`jnl`	Clinical Expert Uncertainty Guided Generalized Label Smoothing for Medical Noisy Label Learning. CoRR Kunyu Zhang, Lin Gu, Liangchen Liu, Yingke Chen, Binyang Wang, Jin Yan, Yingying Zhu
2025	J	`jnl`	Refined Urban Functional Zones Identification via Empirical Bayesian Kriging: A POI-Weighted Scoring Innovation. IEEE Access Xuan Du, Yisha Pan, Xiaoyan Li, Longgao Chen, Liangchen Liu, Ying Lin
2025	J	`jnl`	Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans. Comput. Medical Imaging Graph. Liangchen Liu, Jianfei Liu, Bikash Santra, Christopher Parnell, Pritam Mukherjee, Tejas Sudharshan Mathai, Yingying Zhu, Akshaya Anand, Ronald M. Summers
2024	—	`conf`	Automated Measurement of Pericoronary Adipose Tissue Attenuation and Volume in Ct Angiography. ISBI Andrew M. Nguyen, Tejas Sudharshan Mathai, Liangchen Liu, Jianfei Liu, Ronald M. Summers
2024	J	`jnl`	DSSO-YOLO: A fast detection model for densely stacked small object. Displays Zheng Zhang, Liangchen Liu, Xunyi Zhao, Lijun Zhang, Jun Wu, Yan Zhang, Zhenghao Li
2024	J	`jnl`	Data-induced multiscale losses and efficient multirate gradient descent schemes. CoRR Juncai He, Liangchen Liu, Yen-Hsi Richard Tsai
2024	—	`conf`	Energy-Efficient Hybrid Cluster Scheduling Strategy for Heterogeneous Wireless Sensor Networks. SustainCom Liangchen Liu, Minghua Wang
2024	J	`jnl`	Interpretable medical image Visual Question Answering via multi-modal relationship graph learning. Medical Image Anal. Xinyue Hu, Lin Gu, Kazuma Kobayashi, Liangchen Liu, Mengliang ZHang, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
2024	J	`jnl`	Remote Sensing Image Change Captioning Using Multi-Attentive Network with Diffusion Model. Remote. Sens. Yue Yang, Tie Liu, Ying Pu, Liangchen Liu, Qijun Zhao, Qun Wan
2023	J	`jnl`	Automated Measurement of Pericoronary Adipose Tissue Attenuation and Volume in CT Angiography. CoRR Andrew M. Nguyen, Tejas Sudharshan Mathai, Liangchen Liu, Jianfei Liu, Ronald M. Summers
2023	B	`conf`	End to End Generative Meta Curriculum Learning for Medical Data Augmentation. ICIP Meng Li, Chaoyi Li, Can Peng, Liangchen Liu, Brian C. Lovell
2023	A*	`conf`	Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. KDD Xinyue Hu, Lin Gu, Qiyuan An, Mengliang ZHang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
2023	J	`jnl`	Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. CoRR Xinyue Hu, Lin Gu, Qiyuan An, Mengliang ZHang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
2023	J	`jnl`	Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning. CoRR Mengliang ZHang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
2023	—	`conf`	Improved ascites segmentation with bladder identification using anatomical location residual U-Net. Computer-Aided Diagnosis Manas Kumar Nag, Jianfei Liu, Seung Yeon Shin, Benjamin Hou, Liangchen Liu, Perry J. Pickhardt, Jung-Min Lee, Ronald M. Summers
2023	—	`conf`	Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors. ISBI Liangchen Liu, Benjamin Hou, Manas Kumar Nag, Jianfei Liu, Navid Hasani, Thomas C. Shen, Yingying Zhu, Babak Saboury, Jing Xiao, Ronald M. Summers
2023	A	`conf`	Irecut+MM: Data Generalization and Metric Improvement for Few-shot Learning. ICME Xixiang Lin, Zhenghao Li, Liangchen Liu, Jun Wu, Lijun Zhang, Xiang-Dong Zhou
2023	—	`conf`	Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions. TAG-ML Liangchen Liu, Juncai He, Yen-Hsi Tsai
2023	J	`jnl`	Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions. CoRR Liangchen Liu, Juncai He, Richard Tsai
2023	B	`conf`	Multi-Semantic Alignment Co-Reasoning Network for Video Question Answering. ICIP Min Peng, Liangchen Liu, Zhenghao Li, Yu Shi, Xiangdong Zhou
2023	J	`jnl`	Precondition and effect reasoning for action recognition. Comput. Vis. Image Underst. Hongsang Yoo, Haopeng Li, Qiuhong Ke, Liangchen Liu, Rui Zhang
2023	B	`conf`	Progressive Multi-View Fusion for 3D Human Pose Estimation. ICIP Lijun Zhang, Kangkang Zhou, Liangchen Liu, Zhenghao Li, Xunyi Zhao, Xiang-Dong Zhou, Yu Shi
2022	J	`jnl`	A Coupled BRDF CO2 Retrieval Method for the GF-5 GMI and Improvements in the Correction of Atmospheric Scattering. Remote. Sens. Hanhan Ye, Hailiang Shi, Chao Li, Xianhua Wang, Wei Xiong, Yuan An, Yue Wang, Liangchen Liu
2022	J	`jnl`	Action-ViT: Pedestrian Intent Prediction in Traffic Scenes. IEEE Signal Process. Lett. Shengzhe Zhao, Haopeng Li, Qiuhong Ke, Liangchen Liu, Rui Zhang
2022	J	`jnl`	EILPR: Toward End-to-End Irregular License Plate Recognition Based on Automatic Perspective Alignment. IEEE Trans. Intell. Transp. Syst. Hui Xu, Xiang-Dong Zhou, Zhenghao Li, Liangchen Liu, Chaojie Li, Yu Shi
2022	—	`conf`	Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans. MMMI@MICCAI Liangchen Liu, Jianfei Liu, Manas Kumar Nag, Navid Hasani, Seung Yeon Shin, Sriram S. Paravastu, Babak Saboury, Jing Xiao, Lingyun Huang, Ronald M. Summers
2022	J	`jnl`	Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation. CoRR Xinyue Hu, Lin Gu, Liangchen Liu, Ruijiang Li, Chang Su, Tatsuya Harada, Yingying Zhu
2022	A*	`conf`	Multi-scale Spatial Representation Learning via Recursive Hermite Polynomial Networks. IJCAI Yuanbo Lin Wu, Deyin Liu, Xiaojie Guo, Richang Hong, Liangchen Liu, Rui Zhang
2022	J	`jnl`	Unified Multi-View Orthonormal Non-Negative Graph Based Clustering Framework. CoRR Liangchen Liu, Qiuhong Ke, Chaojie Li, Feiping Nie, Yingying Zhu
2021	A	`conf`	Multi-Graph Based Hierarchical Semantic Fusion for Cross-Modal Representation. ICME Lei Zhu, Chengyuan Zhang, Jiayu Song, Liangchen Liu, Shichao Zhang, Yangding Li
2021	J	`jnl`	Precondition and Effect Reasoning for Action Recognition. CoRR Hongsang Yoo, Haopeng Li, Qiuhong Ke, Liangchen Liu, Rui Zhang
2020	C	`conf`	Auto-Encoder based Structured Dictinoary Learning. MMSP Deyin Liu, Yuanbo Lin Wu, Liangchen Liu, Qichang Hu, Lin Qi
2020	J	`jnl`	Fuzzy Neighborhood Learning for Deep 3-D Segmentation of Point Cloud. IEEE Trans. Fuzzy Syst. Mingyang Zhong, Chaojie Li, Liangchen Liu, Jiahui Wen, Jingwei Ma, Xinghuo Yu
2020	J	`jnl`	HIGnet: Hierarchical and Interactive Gate Networks for Item Recommendation. IEEE Intell. Syst. Mingyang Zhong, Chaojie Li, Jiahui Wen, Liangchen Liu, Jingwei Ma, Guangda Zhang, Yin Yang
2020	J	`jnl`	Multi-task image set classification via joint representation with class-level sparsity and intra-task low-rankness. Pattern Recognit. Lett. Deyin Liu, Liangchen Liu, Yun Tie, Lin Qi
2020	J	`jnl`	Omni-supervised joint detection and pose estimation for wild animals. Pattern Recognit. Lett. Teng Zhang, Liangchen Liu, Kun Zhao, Arnold Wiliem, Graham Hemson, Brian C. Lovell
2019	B	`conf`	Cannygan: Edge-Preserving Image Translation with Disentangled Features. ICIP Tianren Wang, Teng Zhang, Liangchen Liu, Arnold Wiliem, Brian C. Lovell
2019	A	`conf`	DBRec: Dual-Bridging Recommendation via Discovering Latent Groups. CIKM Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li
2019	J	`jnl`	DBRec: Dual-Bridging Recommendation via Discovering Latent Groups. CoRR Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li
2019	Misc	`conf`	Deep Corrosion Assessment for Electrical Transmission Towers. DICTA Teng Zhang, Liangchen Liu, Arnold Wiliem, Stephen Connor, Zelkjo Ilich, Eddie Van Der Draai, Brian C. Lovell
2019	B	`conf`	Deep Inspection: An Electrical Distribution Pole Parts Study VIA Deep Neural Networks. ICIP Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian C. Lovell
2019	J	`jnl`	Deep inspection: an electrical distribution pole parts study via deep neural networks. CoRR Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian C. Lovell
2019	J	`jnl`	Nearest Neighbor Sampling of Point Sets using Random Rays. CoRR Liangchen Liu, Louis Ly, Colin B. Macdonald, Yen-Hsi Richard Tsai
2018	A*	`conf`	Integrating Demand Response and Renewable Energy In Wholesale Market. IJCAI Chaojie Li, Chen Liu, Xinghuo Yu, Ke Deng, Tingwen Huang, Liangchen Liu
2018	J	`jnl`	Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery. IEEE Trans. Image Process. Liangchen Liu, Feiping Nie, Arnold Wiliem, Zhihui Li, Teng Zhang, Brian C. Lovell
2017	—	`—`	Discovering visual attributes from image and video data Liangchen Liu
2017	J	`jnl`	What is the best way for extracting meaningful attributes from pictures? Pattern Recognit. Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
2016	J	`jnl`	Automatic and Quantitative evaluation of attribute discovery methods. CoRR Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
2016	A	`conf`	Automatic and quantitative evaluation of attribute discovery methods. WACV Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
2016	—	`conf`	Determining the best attributes for surveillance video keywords generation. ISBA Liangchen Liu, Arnold Wiliem, Shaokang Chen, Kun Zhao, Brian C. Lovell
2016	J	`jnl`	Determining the best attributes for surveillance video keywords generation. CoRR Liangchen Liu, Arnold Wiliem, Shaokang Chen, Kun Zhao, Brian C. Lovell
2016	A	`conf`	Is alice chasing or being chased?: Determining subject and object of activities in videos. WACV Teng Zhang, Liangchen Liu, Arnold Wiliem, Brian C. Lovell
2016	B	`conf`	Unsupervised automatic attribute discovery method via multi-graph clustering. ICPR Liangchen Liu, Feiping Nie, Teng Zhang, Arnold Wiliem, Brian C. Lovell
2016	J	`jnl`	What is the Best Way for Extracting Meaningful Attributes from Pictures? CoRR Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
2014	B	`conf`	Automatic Image Attribute Selection for Zero-Shot Learning of Object Categories. ICPR Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell