Liang Zhao

92 papers A* 10A 2B 2Misc 3Journal 49Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive multi-agent stock trading decision support system based on deep reinforcement learning.
Eng. Appl. Artif. Intell.
Xu Yuan, Jiaqiang Wang, Shaokui Gu, Yi Guo, Ange Qi, Shijin Li, Liang Zhao
2026 A* conf
KNNDA: A New Perspective of Alignment Recovery for Partially View-Aligned Clustering.
AAAI
Liang Zhao, Tianqi Yue, Shubin Ma, Ziyue Wang, Zhiyuan Liu, Bo Xu
2026 J jnl
Phase-Consistent Magnetic Spectral Learning for Multi-View Clustering.
CoRR
Mingdong Lu, Zhikui Chen, Meng Liu, Shubin Ma, Liang Zhao
2026 A* conf
Sample Weighted Incomplete Multimodal Clustering Based on Graph Coarsening Label Extraction.
AAAI
Zhenjiao Liu, Xue Xiao, Yao Chen, Jiao Xue, Shubin Ma, Liang Zhao
2025 A* conf
CSF-GAN: Cross-modal Semantic Fusion-based Generative Adversarial Network for Text-guided Image Inpainting.
IJCAI
Shilin Zhang, Suixue Wang, Qingchen Zhang, Liang Zhao, Weiliang Huo, Sijia Hou, Chunjiang Fu
2025 A* conf
Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search.
IJCAI
Shubin Ma, Liang Zhao, Mingdong Lu, Yifan Guo, Bo Xu
2025 J jnl
Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search.
CoRR
Shubin Ma, Liang Zhao, Mingdong Lu, Yifan Guo, Bo Xu
2025 J jnl
Cross-modal feature alignment and fusion with contrastive learning in multimodal recommendation.
Knowl. Based Syst.
Xu Yuan, Ange Qi, Huinan Wu, Jiaqiang Wang, Yi Guo, Shijin Li, Liang Zhao
2025 A* conf
Dual Robust Unbiased Multi-View Clustering for Incomplete and Unpaired Information.
IJCAI
Liang Zhao, Ziyue Wang, Chuanye He, Qingchen Zhang, Bo Xu
2025 A* conf
Dual-Learning based Penalized Multi-Align Clustering for Multi-View Incomplete and Disorderly Data.
ACM Multimedia
Liang Zhao, Shubin Ma, Bo Xu, Qingchen Zhang
2025 J jnl
Dynamic Graph Guided Progressive Partial View-Aligned Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Liang Zhao, Qiongjie Xie, Zhengtao Li, Songtao Wu, Yi Yang
2025 A* conf
EchoGPT: An Interactive Cardiac Function Assessment Model for Echocardiogram Videos.
IJCAI
Bo Xu, Quanhao Zhu, Qingchen Zhang, Mengmeng Wang, Liang Zhao, Hongfei Lin, Jing Ren, Feng Xia
2025 J jnl
Historical Trends and Normalizing Flow for One-shot Temporal Knowledge Graph Reasoning.
Expert Syst. Appl.
Ruixin Ma, Longfei Wang, Huinan Wu, Buyun Gao, Xiaoru Wang, Liang Zhao
2025 A* conf
Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion.
AAAI
Liang Zhao, Ziyue Wang, Xiao Wang, Zhikui Chen, Bo Xu
2025 J jnl
Learnable Graph Guided Deep Multi-View Representation Learning via Information Bottleneck.
IEEE Trans. Circuits Syst. Video Technol.
Liang Zhao, Xiao Wang, Zhenjiao Liu, Ziyue Wang, Zhikui Chen
2025 J jnl
MHEC: One-shot relational learning of knowledge graphs completion based on multi-hop information enhancement.
Neurocomputing
Ruixin Ma, Buyun Gao, Weihe Wang, Longfei Wang, Xiaoru Wang, Liang Zhao
2025 — conf
MTMS: a Multi-Modal MRI Synthesis Model Via Multi-Task Learning.
BIBM
Liang Zhao, Xinyu Wang, Yu Shao, Yang Wang, Zhuo Liu
2025 J jnl
Normalizing flow-enhanced Gaussian embedding for few-shot knowledge graph completion.
Knowl. Based Syst.
Xu Yuan, Long Chen, Jiaqiang Wang, Yi Guo, Zhengnan Gao, Liang Zhao
2025 A conf
Partially View-aligned Clustering with Unbiased Semantic Learning.
ICME
Liang Zhao, Ziyue Wang, Yukun Yuan
2025 J jnl
Pseudo-Label Guided Incomplete Partial View-Aligned Clustering.
IEEE Signal Process. Lett.
Shubin Ma, Liang Zhao, Songtao Wu, Bo Xu
2025 J jnl
TFE-HMM: Combining state transitions and price trends for stock price forecasting.
Expert Syst. Appl.
Xu Yuan, Yi Guo, Shaokui Gu, Jiaqiang Wang, Ange Qi, Shijin Li, Liang Zhao
2025 — conf
Time-Sequential Lung CT Image Dynamic Registration Model with Weakly Supervised Learning.
BIBM
Yu Shao, Xinyu Wang, Mengru Ouyang, Chaoran Jia, Liang Zhao
2024 — conf
Alzheimer's Disease Prediction with Irregular MRI Sequences Based on Pyramid Squeeze Attention and Time-Sensitive Attention Mechanisms.
BIBM
Yihan Chen, Ruoqi Wang, Yu Shao, Baijiang Xu, Bo Xu, Liang Zhao
2024 A conf
Anchor Based Multi-view Clustering for Partially View-Aligned Data.
ICME
Liang Zhao, Yukun Yuan, Qiongjie Xie, Ziyue Wang
2024 J jnl
CCIM-SLR: Incomplete multiview co-clustering by sparse low-rank representation.
Multim. Tools Appl.
Zhenjiao Liu, Zhikui Chen, Kai Lou, Praboda Rajapaksha, Liang Zhao, Noël Crespi, Xiaodi Huang
2024 — conf
Construction of Simulated 3D CT from Multiple-View X-ray Images.
BIBM
Liang Zhao, Xiaoyuan Li, Sijia Hou, Xin Fan, Zhikui Chen, Shuqiong Wu
2024 J jnl
Distribution-Level Multi-View Clustering for Unaligned Data.
IEEE Signal Process. Lett.
Liang Zhao, Qiongjie Xie
2024 J jnl
GLSEC: Global and local semantic-enhanced contrastive framework for knowledge graph completion.
Expert Syst. Appl.
Ruixin Ma, Xiaoru Wang, Cunxi Cao, Xiya Bu, Hao Wu, Liang Zhao
2024 A* conf
Generating Multimodal Metaphorical Features for Meme Understanding.
ACM Multimedia
Bo Xu, Junzhe Zheng, Jiayuan He, Yuxuan Sun, Hongfei Lin, Liang Zhao, Feng Xia
2024 J jnl
Joint long and short span self-attention network for multi-view classification.
Expert Syst. Appl.
Zhikui Chen, Kai Lou, Zhenjiao Liu, Yue Li, Yiming Luo, Liang Zhao
2024 J jnl
Knowledge graph fine-grained network with attribute transfer for recommendation.
Expert Syst. Appl.
Xu Yuan, Zixuan Chen, Xiya Bu, Zhengnan Gao, Liang Zhao, Ruixin Ma
2024 J jnl
Knowledge graph preference migration network for recommendation.
Expert Syst. Appl.
Ruixin Ma, Xiya Bu, Zixuan Chen, Huinan Wu, Yunlong Ma, Liang Zhao
2024 J jnl
Multi-Sentence Complementarily Generation for Text-to-Image Synthesis.
IEEE Trans. Multim.
Liang Zhao, Pingda Huang, Tengtuo Chen, Chunjiang Fu, Qinghao Hu, Yangqianhui Zhang
2024 J jnl
Multi-view semantic enhancement model for few-shot knowledge graph completion.
Expert Syst. Appl.
Ruixin Ma, Hao Wu, Xiaoru Wang, Weihe Wang, Yunlong Ma, Liang Zhao
2024 J jnl
Multimodal Fusion Generative Adversarial Network for Image Synthesis.
IEEE Signal Process. Lett.
Liang Zhao, Qinghao Hu, Xiaoyuan Li, Jingyuan Zhao
2024 — conf
Multimodal contrastive learning with neuroimaging and cognitive tests for Alzheimer's disease diagnosis.
BIBM
Liang Zhao, Jian Zhang, Bo Xu, Yi Yang, Yangqianhui Zhang, Ruixin Ma
2024 — conf
Rod Pumping System Fault Diagnosis Based on Multi-Model Ensemble Method.
ICNSC
Chenyu Tian, Rui Lin, Liang Zhao
2023 Misc conf
An End-to-End Framework for Partial View-Aligned Clustering with Graph Structure.
ICASSP
Liang Zhao, Qiongjie Xie, Sontao Wu, Shubin Ma
2023 J jnl
Deep probability multi-view feature learning for data clustering.
Expert Syst. Appl.
Liang Zhao, Xiao Wang, Zhenjiao Liu, Hong Yuan, Jingyuan Zhao, Shuang Zhou
2023 — conf
Enhancing Longitudinal Medical Image Segmentation through Spatial-temporal Fusion.
BIBM
Liang Zhao, Chaoran Jia, Yu Shao, Zhanxin Gang, Rui Lin, Ruixin Ma
2023 B conf
Enhancing Path Information with Reinforcement Learning for Few-shot Knowledge Graph Completion.
ICPADS
Ruixin Ma, Mengfei Yu, Buyun Gao, Jiaqi Guo, Zhikui Chen, Liang Zhao
2023 J jnl
IMC-NLT: Incomplete multi-view clustering by NMF and low-rank tensor.
Expert Syst. Appl.
Zhenjiao Liu, Zhikui Chen, Yue Li, Liang Zhao, Tao Yang, Reza Farahbakhsh, Noël Crespi, Xiaodi Huang
2023 J jnl
Incomplete Multi-View Clustering With Complete View Guidance.
IEEE Signal Process. Lett.
Zhikui Chen, Yue Li, Kai Lou, Liang Zhao
2023 A* conf
MVCIR-net: Multi-view Clustering Information Reinforcement Network.
ACM Multimedia
Shaokui Gu, Xu Yuan, Liang Zhao, Zhenjiao Liu, Yan Hu, Zhikui Chen
2023 J jnl
Mining Multi-View Clustering Space With Interpretable Space Search Constraint.
IEEE Signal Process. Lett.
Xu Yuan, Shaokui Gu, Zhenjiao Liu, Liang Zhao
2023 Misc conf
Multi-View Graph Regularized Deep Autoencoder-Like NMF Framework.
ICASSP
Liang Zhao, Zihao Wang, Ziyue Wang, Zhikui Chen
2023 J jnl
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs.
Data Min. Knowl. Discov.
Ruixin Ma, Biao Mei, Yunlong Ma, Hongyan Zhang, Meihong Liu, Liang Zhao
2023 J jnl
PANC: Prototype Augmented Neighbor Constraint instance completion in knowledge graphs.
Expert Syst. Appl.
Ruixin Ma, Yunlong Ma, Hongyan Zhang, Biao Mei, Guangyue Lv, Liang Zhao
2023 — conf
Predicting Chronic Obstructive Pulmonary Disease Based on Multi-Stage Composite Ensemble Learning Framework.
BIBM
Zhanxin Gang, Chaoran Jia, Chenhua Guo, Peng Li, Jing Gao, Liang Zhao
2023 — conf
Soft Tissue Sarcoma Segmentation Network Based on Ensemble Learning.
BIBM
Liang Zhao, Yu Shao, Zhanxin Gang, Chenhua Guo, Jing Gao, Yihan Chen
2023 — conf
Soft Tissue Sarcoma Segmentation Network Based on Self-supervised Learning.
BIBM
Liang Zhao, Yu Shao, Zhanxin Gang, Chaoran Jia, Yihan Chen, Yi Yang
2023 Misc conf
Unrestricted Anchor Graph Based GCN for Incomplete Multi-View Clustering.
ICASSP
Liang Zhao, Zihao Wang, Yukun Yuan, Feng Ding
2022 — conf
Image Attribute Modification Based on Text Guidance.
CWSN
Liang Zhao, Xiaoyuan Li, Chunjiang Fu, Zhikui Chen
2022 J jnl
Incomplete multi-view clustering based on weighted sparse and low rank representation.
Appl. Intell.
Liang Zhao, Jie Zhang, Tao Yang, Zhikui Chen
2022 J jnl
Knowledge Graph Random Neural Networks for Recommender Systems.
Expert Syst. Appl.
Ruixin Ma, Fangqing Guo, Zeyang Li, Liang Zhao
2022 J jnl
LSTM-MFCN: A time series classifier based on multi-scale spatial-temporal features.
Comput. Commun.
Liang Zhao, Chunyang Mo, Jiajun Ma, Zhikui Chen, Chenhui Yao
2022 — conf
Multi-attention User Information Based Graph Convolutional Networks for Explainable Recommendation.
KSEM (1)
Ruixin Ma, Guangyue Lv, Liang Zhao, Yunlong Ma, Hongyan Zhang, Xiaobin Liu
2022 B conf
Multi-label Aerial Image Classification Based on Image-Specific Concept Graphs.
ICIP
Dan Lin, Zhikui Chen, Liang Zhao, Kai Wang
2022 J jnl
Multilabel Aerial Image Classification With Unsupervised Domain Adaptation.
IEEE Trans. Geosci. Remote. Sens.
Dan Lin, Jianzhe Lin, Liang Zhao, Zhen Wang, Zhikui Chen
2022 J jnl
Multilabel Aerial Image Classification With a Concept Attention Graph Neural Network.
IEEE Trans. Geosci. Remote. Sens.
Dan Lin, Jianzhe Lin, Liang Zhao, Z. Jane Wang, Zhikui Chen
2022 — conf
Multimodal Data Fusion.
Honoring Professor Mohammad S. Obaidat
Zhikui Chen, Liang Zhao, Qiucen Li, Xin Song, Jianing Zhang
2022 — conf
Predicting The Likelihood of Patients Developing Sepsis Based on Compound Ensemble Learning.
BIBM
Liang Zhao, Rui Lin, Zhuo Liu, Hong Yuan
2022 — conf
SATCN: An Improved Temporal Convolutional Neural Network with Self Attention Mechanism for Knowledge Tracing.
ICCSE (1)
Ruixin Ma, Hongyan Zhang, Biao Mei, Guangyue Lv, Liang Zhao
2022 — conf
Time-series lung cancer CT dataset.
BIBM
Liang Zhao, Yu Shao, Chaoran Jia, Jiajun Ma
2021 J jnl
Co-Learning Non-Negative Correlated and Uncorrelated Features for Multi-View Data.
IEEE Trans. Neural Networks Learn. Syst.
Liang Zhao, Tao Yang, Jie Zhang, Zhikui Chen, Yi Yang, Z. Jane Wang
2021 J jnl
Dual Alignment Self-Supervised Incomplete Multi-View Subspace Clustering Network.
IEEE Signal Process. Lett.
Liang Zhao, Jie Zhang, Qiuhao Wang, Zhikui Chen
2021 J jnl
Hybrid attention mechanism for few-shot relational learning of knowledge graphs.
IET Comput. Vis.
Ruixin Ma, Zeyang Li, Fangqing Guo, Liang Zhao
2021 J jnl
Incremental multi-view correlated feature learning based on non-negative matrix factorisation.
IET Comput. Vis.
Liang Zhao, Tao Yang, Jie Zhang, Zhikui Chen
2021 — conf
TRGAN: Text to Image Generation Through Optimizing Initial Image.
ICONIP (5)
Liang Zhao, Xinwei Li, Pingda Huang, Zhikui Chen, Yanqi Dai, Tianyu Li
2020 J jnl
DT-LET: Deep transfer learning by exploring where to transfer.
Neurocomputing
Jianzhe Lin, Liang Zhao, Qi Wang, Rabab Ward, Z. Jane Wang
2020 J jnl
Multi-View Robust Feature Learning for Data Clustering.
IEEE Signal Process. Lett.
Liang Zhao, Tianyang Zhao, Tingting Sun, Zhuo Liu, Zhikui Chen
2019 J jnl
Deep Semantic Mapping for Heterogeneous Multimedia Transfer Learning Using Co-Occurrence Data.
ACM Trans. Multim. Comput. Commun. Appl.
Liang Zhao, Zhikui Chen, Laurence T. Yang, M. Jamal Deen, Z. Jane Wang
2019 J jnl
ICFS Clustering With Multiple Representatives for Large Data.
IEEE Trans. Neural Networks Learn. Syst.
Liang Zhao, Zhikui Chen, Yi Yang, Liang Zou, Z. Jane Wang
2019 J jnl
Robust and graph regularised non-negative matrix factorisation for heterogeneous co-transfer clustering.
Int. J. Comput. Sci. Eng.
Yu Ma, Zhikui Chen, Xiru Qiu, Liang Zhao
2019 J jnl
Unsupervised multi-view non-negative for law data feature learning with dual graph-regularization in smart Internet of Things.
Future Gener. Comput. Syst.
Xiru Qiu, Zhikui Chen, Liang Zhao, Chengsheng Hu
2018 — conf
A New Deep Transfer Learning Model for Judicial Data Classification.
iThings/GreenCom/CPSCom/SmartData
Guohua Liu, Zhihong Ying, Liang Zhao, Xu Yuan, Zhikui Chen
2018 J jnl
Active-Learning-Incorporated Deep Transfer Learning for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jianzhe Lin, Liang Zhao, Shuying Li, Rabab K. Ward, Z. Jane Wang
2018 — conf
Adaptive Multimodal Hypergraph Learning for Image Classification.
HPCC/SmartCity/DSS
Qiucen Li, Fangming Zhong, Liang Zhao
2018 J jnl
Distributed Feature Selection for Efficient Economic Big Data Analysis.
IEEE Trans. Big Data
Liang Zhao, Zhikui Chen, Yueming Hu, Geyong Min, Zhaohua Jiang
2018 — conf
Dual Graph-Regularized Multi-view Feature Learning.
HPCC/SmartCity/DSS
Zhikui Chen, Xiru Qiu, Liang Zhao, Jianing Du
2018 J jnl
Incomplete multi-view clustering via deep semantic mapping.
Neurocomputing
Liang Zhao, Zhikui Chen, Yi Yang, Z. Jane Wang, Victor C. M. Leung
2018 J jnl
Local Similarity Imputation Based on Fast Clustering for Incomplete Data in Cyber-Physical Systems.
IEEE Syst. J.
Liang Zhao, Zhikui Chen, Zhennan Yang, Yueming Hu, Mohammad S. Obaidat
2018 J jnl
Unsupervised Multiview Nonnegative Correlated Feature Learning for Data Clustering.
IEEE Signal Process. Lett.
Liang Zhao, Zhikui Chen, Z. Jane Wang
2017 J jnl
A privacy-preserving high-order neuro-fuzzy c-means algorithm with cloud computing.
Neurocomputing
Peng Li, Zhikui Chen, Laurence T. Yang, Liang Zhao, Qingchen Zhang
2017 J jnl
An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things.
IEEE Trans. Ind. Informatics
Qingchen Zhang, Chunsheng Zhu, Laurence T. Yang, Zhikui Chen, Liang Zhao, Peng Li
2017 — conf
Incremental CFS clustering on large data.
GlobalSIP
Liang Zhao, Zhikui Chen, Yi Yang
2017 J jnl
Parameter-Free Incremental Co-Clustering for Multi-Modal Data in Cyber-Physical-Social Systems.
IEEE Access
Liang Zhao, Zhikui Chen, Yi Yang
2016 — conf
ICFS: An Improved Fast Search and Find of Density Peaks Clustering Algorithm.
DASC/PiCom/DataCom/CyberSciTech
Jing Gao, Liang Zhao, Zhikui Chen, Peng Li, Han Xu, Yueming Hu
2015 — conf
A Hybrid Method for Incomplete Data Imputation.
HPCC/CSS/ICESS
Liang Zhao, Zhikui Chen, Zhennan Yang, Yueming Hu
2013 — conf
A Universal Storage Architecture for Big Data in Cloud Environment.
GreenCom/iThings/CPScom
Qingchen Zhang, Zhikui Chen, Ailing Lv, Liang Zhao, Fangyi Liu, Jian Zou
2013 — conf
Multi-node Scheduling Algorithm Based on Clustering Analysis and Data Partitioning in Emergency Management Cloud.
WAIM Workshops
Qingchen Zhang, Zhikui Chen, Liang Zhao
2012 — conf
Collection System for Pressure Information of Buildings Based on the IoT and CAN Bus.
CyberC
Weiyuan Sun, Xing Chen, Fangyi Liu, Liang Zhao