Lianghua He - RankMe

109 papers A* 11A 1B 7Misc 3Journal 68Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic MAsk-Pruning Strategy for Source-Free Model Intellectual Property Protection. Int. J. Comput. Vis. Boyang Peng, Sanqing Qu, Yong Wu, Tianpei Zou, Lianghua He, Alois Knoll, Guang Chen, Changjun Jiang
2026	J	`jnl`	EntropyPrune: Matrix Entropy Guided Visual Token Pruning for Multimodal Large Language Models. CoRR Yahong Wang, Juncheng Wu, Zhangkai Ni, Chengmei Yang, Yihang Liu, Longzhen Yang, Yuyin Zhou, Ying Wen, Lianghua He
2026	J	`jnl`	HSENet: Hierarchical semantic-enriched network for multi-modal image fusion. Pattern Recognit. Xinyu Liu, Rui Ming, Songlin Du, Lianghua He, Haibo Luo, Guobao Xiao
2026	J	`jnl`	Spatially Aware Adaptive Diffusion: Unifying Low-Resolution Image Fusion and Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. Jiajia Fu, Zhenni Yu, Haosheng Chen, Songlin Du, Changcai Yang, Lianghua He, Guobao Xiao
2026	J	`jnl`	Visualization methods for explainable medical imaging diagnosis: A survey. Comput. Sci. Rev. Longzhen Yang, Yihang Liu, Lianghua He, Die Hu
2025	A*	`conf`	AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images. AAAI Yihang Liu, Lianghua He, Ying Wen, Longzhen Yang, Hongzhou Chen
2025	J	`jnl`	AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images. CoRR Yihang Liu, Lianghua He, Ying Wen, Longzhen Yang, Hongzhou Chen
2025	J	`jnl`	All You Need Are Random Visual Tokens? Demystifying Token Pruning in VLLMs. CoRR Yahong Wang, Juncheng Wu, Zhangkai Ni, Longzhen Yang, Yihang Liu, Chengmei Yang, Ying Wen, Xianfeng Tang, Hui Liu, Yuyin Zhou, Lianghua He
2025	A*	`conf`	CFII-Net: Explicit Class Embeddings and Feature Maps Through Iterative Interaction for Boosting Medical Image Segmentation. IJCAI Xinyu Zhu, Xiwen Liu, Lianghua He, Yin Wen
2025	A*	`conf`	Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer. AAAI Xinyue Chen, Miaojing Shi, Zijian Zhou, Lianghua He, Sophia Tsoka
2025	J	`jnl`	FeaInfNet: Diagnosis of Medical Images With Feature-Driven Inference and Visual Explanations. IEEE J. Biomed. Health Informatics Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang
2025	J	`jnl`	Joint Objective and Subjective Fuzziness Denoising for Multimodal Sentiment Analysis. IEEE Trans. Fuzzy Syst. Xun Jiang, Xing Xu, Huimin Lu, Lianghua He, Heng Tao Shen
2025	J	`jnl`	MambaMatch: Establishing Reliable Correspondences via Multi-Scale State Space Model. IEEE Trans. Image Process. Xiangyang Miao, Shunxing Chen, Xinyu Liu, Shiping Wang, Songlin Du, Lianghua He, Guobao Xiao
2025	A*	`conf`	M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection. AAAI Jiafeng Li, Ying Wen, Lianghua He
2025	J	`jnl`	One Prototype Is Enough: Single-Prototype Activation for Interpretable Image Classification. CoRR Yitao Peng, Lianghua He, Die Hu
2025	J	`jnl`	R-HMF: A Relation-enhanced Hierarchical Multimodal Framework for Few-shot Knowledge Graph Completion. ACM Trans. Multim. Comput. Commun. Appl. Chengmei Yang, Qian Li, Zhenyang Li, Chen Ma, Lianghua He
2025	A*	`conf`	RadLAS: A Foundation Model for Interpretable Radiography Image Analysis with Lesion-Aware Self-Supervised Pre-training. ACM Multimedia Yihang Liu, Ying Wen, Longzhen Yang, Lianghua He, Heng Tao Shen
2025	J	`jnl`	Rethinking Artifact Mitigation in HDR Reconstruction: From Detection to Optimization. IEEE Trans. Image Process. Xinyue Li, Zhangkai Ni, Hang Wu, Wenhan Yang, Hanli Wang, Lianghua He, Sam Kwong
2025	J	`jnl`	SFM-Net: Semantic Feature-Based Multi-Stage Network for Unsupervised Image Registration. IEEE J. Biomed. Health Informatics Tai Ma, Xinru Dai, Suwei Zhang, Haidong Zou, Lianghua He, Ying Wen
2025	A*	`conf`	Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation. ACM Multimedia Longzhen Yang, Zhangkai Ni, Ying Wen, Yihang Liu, Lianghua He, Heng Tao Shen
2025	J	`jnl`	Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation. CoRR Longzhen Yang, Zhangkai Ni, Ying Wen, Yihang Liu, Lianghua He, Heng Tao Shen
2025	J	`jnl`	Variational Transformer: A Framework Beyond the Tradeoff Between Accuracy and Diversity for Image Captioning. IEEE Trans. Neural Networks Learn. Syst. Longzhen Yang, Lianghua He, Die Hu, Yihang Liu, Yitao Peng, Hongzhou Chen, MengChu Zhou
2024	J	`jnl`	AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image. CoRR Hamed Amini Amirkolaee, Miaojing Shi, Lianghua He, Mark Mulligan
2024	J	`jnl`	Decoupling Deep Learning for Enhanced Image Recognition Interpretability. ACM Trans. Multim. Comput. Commun. Appl. Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang
2024	B	`conf`	Dual Contrastive Learning with Mutual Correction for Semi-Supervised Medical Image Segmentation. SMC Jiazhe Zhu, Lianghua He
2024	J	`jnl`	Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer. CoRR Xinyue Chen, Miaojing Shi, Zijian Zhou, Lianghua He, Sophia Tsoka
2024	J	`jnl`	Explainability of Speech Recognition Transformers via Gradient-Based Attention Visualization. IEEE Trans. Multim. Tianli Sun, Haonan Chen, Guosheng Hu, Lianghua He, Cairong Zhao
2024	—	`conf`	HGL: Hierarchical Geometry Learning for Test-Time Adaptation in 3D Point Cloud Segmentation. ECCV (55) Tianpei Zou, Sanqing Qu, Zhijun Li, Alois Knoll, Lianghua He, Guang Chen, Changjun Jiang
2024	J	`jnl`	HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation. CoRR Tianpei Zou, Sanqing Qu, Zhijun Li, Alois Knoll, Lianghua He, Guang Chen, Changjun Jiang
2024	J	`jnl`	Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. IEEE Trans. Multim. Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang
2024	—	`conf`	Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization. BIBM Yitao Peng, Lianghua He, Die Hu
2024	J	`jnl`	Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization. CoRR Yitao Peng, Lianghua He, Die Hu
2024	J	`jnl`	IDC-Net: Multi-stage Registration Network Using Intensity Adjustment, Dual-Stream and Cost Volume. Biomed. Signal Process. Control. Tai Ma, Xinxin Shan, Xinru Dai, Suwei Zhang, Ying Wen, Lianghua He
2024	A*	`conf`	LEAD: Learning Decomposition for Source-free Universal Domain Adaptation. CVPR Sanqing Qu, Tianpei Zou, Lianghua He, Florian Röhrbein, Alois Knoll, Guang Chen, Changjun Jiang
2024	J	`jnl`	LEAD: Learning Decomposition for Source-free Universal Domain Adaptation. CoRR Sanqing Qu, Tianpei Zou, Lianghua He, Florian Röhrbein, Alois Knoll, Guang Chen, Changjun Jiang
2024	A*	`conf`	MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection. CVPR Boyang Peng, Sanqing Qu, Yong Wu, Tianpei Zou, Lianghua He, Alois Knoll, Guang Chen, Changjun Jiang
2024	J	`jnl`	MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection. CoRR Boyang Peng, Sanqing Qu, Yong Wu, Tianpei Zou, Lianghua He, Alois Knoll, Guang Chen, Changjun Jiang
2024	B	`conf`	PSAM: Prompt-based Segment Anything Model Adaption for Medical Image Segmentation. SMC Chengyi Wen, Lianghua He
2024	J	`jnl`	Visual Neural Decoding via Improved Visual-EEG Semantic Consistency. CoRR Hongzhou Chen, Lianghua He, Yihang Liu, Longzhen Yang
2023	J	`jnl`	A multi-grained unsupervised domain adaptation approach for semantic segmentation. Pattern Recognit. Luyang Li, Tai Ma, Yue Lu, Qingli Li, Lianghua He, Ying Wen
2023	B	`conf`	EEG-Based Emotion Analysis Using Person-Event Network. SMC Liwei Tang, Lianghua He
2023	J	`jnl`	FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations. CoRR Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang
2023	—	`conf`	Few-Shot Relational Triple Extraction Based on Evaluation of Token-Level Semantic Similarity. ICANN (8) Shuai Jiang, Jiazhe Zhu, Lianghua He
2023	J	`jnl`	Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. CoRR Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He
2023	J	`jnl`	Learning Smooth Representation for Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. Guanyu Cai, Lianghua He, MengChu Zhou, Hesham Alhumade, Die Hu
2023	A	`conf`	MMEL: A Joint Learning Framework for Multi-Mention Entity Linking. UAI Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma
2023	Misc	`conf`	Mutually Guided Few-Shot Learning For Relational Triple Extraction. ICASSP Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He
2023	J	`jnl`	Mutually Guided Few-shot Learning for Relational Triple Extraction. CoRR Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He
2023	A*	`conf`	SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy. CVPR Jiafeng Li, Ying Wen, Lianghua He
2022	J	`jnl`	DProtoNet: Decoupling Prototype Activation via Multiple Dynamic Masks. CoRR Yitao Peng, Yihang Liu, Longzhen Yang, Lianghua He
2022	J	`jnl`	Deep-Learning-Based Initial Access Method for Millimeter-Wave MIMO Systems. IEEE Wirel. Commun. Lett. Meiyu Wang, Die Hu, Lianghua He, Jun Wu
2022	J	`jnl`	MDM: Visual Explanations for Neural Networks via Multiple Dynamic Mask. CoRR Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He
2022	J	`jnl`	Revitalize Region Feature for Democratizing Video-Language Pre-training. CoRR Guanyu Cai, Yixiao Ge, Alex Jinpeng Wang, Rui Yan, Xudong Lin, Ying Shan, Lianghua He, Xiaohu Qie, Jianping Wu, Mike Zheng Shou
2022	J	`jnl`	Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning. CoRR Longzhen Yang, Shaohua Shang, Yihang Liu, Yitao Peng, Lianghua He
2021	A*	`conf`	Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query. ICCV Guanyu Cai, Jun Zhang, Xinyang Jiang, Yifei Gong, Lianghua He, Fufu Yu, Pai Peng, Xiaowei Guo, Feiyue Huang, Xing Sun
2021	J	`jnl`	Part2Whole: Iteratively Enrich Detail for Cross-Modal Retrieval with Partial Query. CoRR Guanyu Cai, Xinyang Jiang, Jun Zhang, Yifei Gong, Lianghua He, Pai Peng, Xiaowei Guo, Xing Sun
2021	J	`jnl`	Sparse Common Feature Representation for Undersampled Face Recognition. IEEE Internet Things J. Shicheng Yang, Ying Wen, Lianghua He, MengChu Zhou
2021	J	`jnl`	Sparse Individual Low-Rank Component Representation for Face Recognition in the IoT-Based System. IEEE Internet Things J. Shicheng Yang, Ying Wen, Lianghua He, MengChu Zhou, Abdullah Abusorrah
2021	J	`jnl`	Unsupervised Adaptive Semantic Segmentation with Local Lipschitz Constraint. CoRR Guanyu Cai, Lianghua He
2020	—	`conf`	Adversarial Transform Networks for Unsupervised Transfer Learning. ICNSC Guanyu Cai, Yuqin Wang, Lianghua He, MengChu Zhou
2020	J	`jnl`	Gabor Feature-Based LogDemons With Inertial Constraint for Nonrigid Image Registration. IEEE Trans. Image Process. Ying Wen, Cheng Xu, Yue Lu, Qingli Li, Haibin Cai, Lianghua He
2020	J	`jnl`	Low-Complexity Deep-Learning-Based DOA Estimation for Hybrid Massive MIMO Systems With Uniform Circular Arrays. IEEE Wirel. Commun. Lett. Die Hu, Yonghao Zhang, Lianghua He, Jun Wu
2020	A*	`conf`	Segmenting Medical MRI via Recurrent Decoding Cell. AAAI Ying Wen, Kai Xie, Lianghua He
2020	J	`jnl`	Unsupervised Domain Adaptation With Adversarial Residual Transform Networks. IEEE Trans. Neural Networks Learn. Syst. Guanyu Cai, Yuqin Wang, Lianghua He, MengChu Zhou
2019	J	`jnl`	Adaptive Routing Between Capsules. CoRR Qiang Ren, Shaohua Shang, Lianghua He
2019	—	`conf`	Convolutional Neural Network for Resting State EEG Signal Analysis. ICNSC Hongyu Liu, Lianghua He, Shaohua Shang, Jian Lu, Meng Wan, Shuang Liu
2019	J	`jnl`	Incorporation of Structural Tensor and Driving Force Into Log-Demons for Large-Deformation Image Registration. IEEE Trans. Image Process. Ying Wen, Le Zhang, Lianghua He, MengChu Zhou
2019	J	`jnl`	Learning Smooth Representation for Unsupervised Domain Adaptation. CoRR Guanyu Cai, Yuqin Wang, Lianghua He
2019	J	`jnl`	Orientation Analysis for Chinese News Based on Word Embedding and Syntax Rules. IEEE Access Pengwei Wang, Yujun Luo, Zhen Chen, Lianghua He, Zhaohui Zhang
2019	J	`jnl`	Secure Transmission in Multi-Cell Multi-User Massive MIMO Systems With an Active Eavesdropper. IEEE Wirel. Commun. Lett. Die Hu, Wei Zhang, Lianghua He, Jun Wu
2019	J	`jnl`	Segmenting Medical MRI via Recurrent Decoding Cell. CoRR Ying Wen, Kai Xie, Lianghua He
2019	J	`jnl`	Sparse Low-Rank Component-Based Representation for Face Recognition With Low-Quality Images. IEEE Trans. Inf. Forensics Secur. Shicheng Yang, Le Zhang, Lianghua He, Ying Wen
2019	J	`jnl`	Virtual Conditional Generative Adversarial Networks. CoRR Haifeng Shi, Guanyu Cai, Yuqin Wang, Shaohua Shang, Lianghua He
2018	J	`jnl`	A Novel Forward-Link Multiplexed Scheme in Satellite-Based Internet of Things. IEEE Internet Things J. Die Hu, Lianghua He, Jun Wu
2018	B	`conf`	Effective Sample Synthesizing in Kernel Space for Imbalanced Classification. SMC Wenwen Mo, Lianghua He, Yuqin Wang, Jian Lu
2018	Misc	`conf`	Sparse Low-Rank Component Coding for Face Recognition with Illumination And Corruption. ICASSP Shicheng Yang, Ying Wen, Lianghua He
2018	J	`jnl`	Unsupervised Domain Adaptation with Adversarial Residual Transform Networks. CoRR Guanyu Cai, Yuqin Wang, MengChu Zhou, Lianghua He
2017	—	`conf`	Channel Estimation for FDD Massive MIMO OFDM Systems. VTC Fall Die Hu, Lianghua He
2017	—	`conf`	General-to-Specialized Analysis Based on Deep Belief Network. ACPR Renjie Hu, Lianghua He, Yuqin Wang, Hu D
2016	J	`jnl`	Common Bayesian Network for Classification of EEG-Based Multiclass Motor Imagery BCI. IEEE Trans. Syst. Man Cybern. Syst. Lianghua He, Die Hu, Meng Wan, Ying Wen, Karen M. von Deneen, MengChu Zhou
2016	J	`jnl`	Face recognition using discriminative locality preserving vectors. Digit. Signal Process. Ying Wen, Le Zhang, Karen M. von Deneen, Lianghua He
2016	J	`jnl`	Motor imagery EEG signals analysis based on Bayesian network with Gaussian distribution. Neurocomputing Lianghua He, Bin Liu, Die Hu, Ying Wen, Meng Wan, Jun Long
2016	J	`jnl`	Semi-Blind Pilot Decontamination for Massive MIMO Systems. IEEE Trans. Wirel. Commun. Die Hu, Lianghua He, Xiaodong Wang
2016	J	`jnl`	基于Q学习和动态权重的改进的区域交通信号控制方法 (Promoted Traffic Control Strategy Based on Q Learning and Dynamic Weight). 计算机科学 Chen Zhang, Jian Yu, Lianghua He
2015	B	`conf`	Null space based discriminant sparse representation large margin for face recognition. IJCNN Ying Wen, Lili Hou, Lianghua He
2014	—	`conf`	A Deep Learning Method for Classification of EEG Data Based on Motor Imagery. ICIC (3) Xiu An, Deping Kuang, Xiaojiao Guo, Yilu Zhao, Lianghua He
2014	—	`conf`	ADHD Discrimination Based on Social Network. CCBD Xiaojiao Guo, Lianghua He
2014	—	`conf`	ADHD-200 Classification Based on Social Network Method. ICIC (3) Xiaojiao Guo, Xiu An, Deping Kuang, Yilu Zhao, Lianghua He
2014	—	`conf`	Classification on ADHD with Deep Learning. CCBD Deping Kuang, Lianghua He
2014	—	`conf`	Deep Learning in the EEG Diagnosis of Alzheimer's Disease. ACCV Workshops (1) Yilu Zhao, Lianghua He
2014	—	`conf`	Discrimination of ADHD Based on fMRI Data with Deep Belief Network. ICIC (3) Deping Kuang, Xiaojiao Guo, Xiu An, Yilu Zhao, Lianghua He
2014	—	`conf`	Motor Imagery EEG Signals Analysis Based on Bayesian Network with Gaussian Distribution. ICIC (3) Lianghua He, Bin Liu
2014	J	`jnl`	Multi-channel features based automated segmentation of diffusion tensor imaging using an improved FCM with spatial constraints. Neurocomputing Lianghua He, Ying Wen, Meng Wan, Shuang Liu
2013	J	`jnl`	A New Sparse Channel Estimation and Tracking Method for Time-Varying OFDM Systems. IEEE Trans. Veh. Technol. Die Hu, Xiaodong Wang, Lianghua He
2013	J	`jnl`	Asynchronous Brain-Computer Interface Based on Steady-State Visual-Evoked Potential. Cogn. Comput. Bin Xia, Xing Li, Hong Xie, Wenlu Yang, Jie Li, Lianghua He
2012	—	`conf`	A Co-adaptive Training Paradigm for Motor Imagery Based Brain-Computer Interface. ISNN (1) Bin Xia, Qingmei Zhang, Hong Xie, Shihua Li, Jie Li, Lianghua He
2012	J	`jnl`	A classifier for Bangla handwritten numeral recognition. Expert Syst. Appl. Ying Wen, Lianghua He
2012	Misc	`conf`	Discriminative common vectors based on the Gram-Schmidt reorthogonalization for the small sample size problem. ICASSP Ying Wen, Lianghua He, Yue Lu
2012	J	`jnl`	Face recognition using difference vector plus KPCA. Digit. Signal Process. Ying Wen, Lianghua He, Pengfei Shi
2011	J	`jnl`	An Efficient Pilot Design Method for OFDM-Based Cognitive Radio Systems. IEEE Trans. Wirel. Commun. Die Hu, Lianghua He, Xiaodong Wang
2011	J	`jnl`	An Improved Locally Linear Embedding for Sparse Data Sets. Int. J. Pattern Recognit. Artif. Intell. Ying Wen, Lianghua He
2010	B	`conf`	Pilot Design for Channel Estimation in OFDM-Based Cognitive Radio Systems. GLOBECOM Die Hu, Lianghua He
2006	—	`conf`	Estimation of Rapidly Time-Varying Channels for OFDM Systems. ICASSP (4) Die Hu, Lianghua He, Luxi Yang
2006	J	`jnl`	Joint pilot tone and channel estimator design for OFDM systems. IEEE Commun. Lett. Die Hu, Lianghua He, Luxi Yang
2006	J	`jnl`	Optimal pilot sequence design for channel estimation in MIMO OFDM systems. IEEE Commun. Lett. Die Hu, Luxi Yang, Yuhui Shi, Lianghua He
2006	—	`conf`	Principal Component Net Analysis for Face Recognition. MICAI Lianghua He, Die Hu, Changjun Jiang
2005	—	`conf`	Boosted Independent Features for Face Expression Recognition. ISNN (2) Lianghua He, Jianzhong Zhou, Die Hu, Cairong Zou, Li Zhao
2005	B	`conf`	Optimal pilot sequence design for multiple-input multiple-output OFDM systems. GLOBECOM Die Hu, Luxi Yang, Lianghua He, Yuhui Shi
2004	—	`conf`	Optimal Shape Space and Searching in ASM Based Face Alignment. SINOBIOMETRICS Lianghua He, Stan Z. Li, Jianzhong Zhou, Li Zhao, Cairong Zou