Multi-semantic Scene Classification Based on Region of Interest. - Junming Shao; Dongjian He; Qinli Yang (CIMCA/IAWTIC/ISE, 2008)

Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain. - Junming Shao; Klaus Hahn; Qinli Yang; Christian Böhm 001; Afra M. Wohlschläger; Nicholas Myers; Claudia Plant (ICDM Workshops, 2010)

Clustering by synchronization. - Christian Böhm 001; Claudia Plant; Junming Shao; Qinli Yang (KDD, 2010)

Synchronization Based Outlier Detection. - Junming Shao; Christian Böhm 001; Qinli Yang; Claudia Plant (ECML/PKDD (3), 2010)

Hierarchical Density-Based Clustering of White Matter Tracts in the Human Brain. - Junming Shao; Klaus Hahn; Qinli Yang; Afra M. Wohlschläger; Christian Böhm 001; Nicholas Myers; Claudia Plant (Int. J. Knowl. Discov. Bioinform., 2010)

Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data. - Junming Shao; Claudia Plant; Qinli Yang; Christian Böhm 001 (ICDM, 2011)

Discovering Aberrant Patterns of Human Connectome in Alzheimer's Disease via Subgraph Mining. - Junming Shao; Qinli Yang; Afra M. Wohlschläger; Christian Sorg (ICDM Workshops, 2012)

Multi-label classification models for sustainable flood retention basins. - Qinli Yang; Junming Shao; Miklas Scholz; Christian Böhm 001; Claudia Plant (Environ. Model. Softw., 2012)

Insight into Disrupted Spatial Patterns of Human Connectome in Alzheimer's Disease via Subgraph Mining. - Junming Shao; Qinli Yang; Afra M. Wohlschläger; Christian Sorg (Int. J. Knowl. Discov. Bioinform., 2012)

Predicting dam failure risk for sustainable flood retention basins: A generic case study for the wider Greater Manchester area. - Ebenezer Danso-Amoako; Miklas Scholz; Nickolas Kalimeris; Qinli Yang; Junming Shao (Comput. Environ. Urban Syst., 2012)

Robust Synchronization-Based Graph Clustering. - Junming Shao; Xiao He 002; Qinli Yang; Claudia Plant; Christian Böhm 001 (PAKDD (1), 2013)

Synchronization-Inspired Partitioning and Hierarchical Clustering. - Junming Shao; Xiao He 002; Christian Böhm 001; Qinli Yang; Claudia Plant (IEEE Trans. Knowl. Data Eng., 2013)

Community Detection via Local Dynamic Interaction. - Junming Shao; Zhichao Han 003; Qinli Yang (CoRR, 2014)

Community Detection based on Distance Dynamics. - Junming Shao; Zhichao Han 003; Qinli Yang; Tao Zhou 001 (KDD, 2015)

Reliable Semi-supervised Learning. - Junming Shao; Chen Huang; Qinli Yang; Guangchun Luo (ICDM, 2016)

Graph Clustering with Density-Cut. - Junming Shao; Qinli Yang; Jinhu Liu; Stefan Kramer 001 (CoRR, 2016)

Scalable Clustering by Iterative Partitioning and Point Attractor Representation. - Junming Shao; Qinli Yang; Hoang-Vu Dang; Bertil Schmidt; Stefan Kramer 001 (ACM Trans. Knowl. Discov. Data, 2016)

Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data. - Junming Shao; Chongming Gao; Wei Zeng 013; Jingkuan Song; Qinli Yang (ICDM, 2017)

Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-Driven Nonnegative Matrix Factorization. - Junming Shao; Zhongjing Yu; Peiyan Li; Wei Han 009; Christian Sorg; Qinli Yang (ICDM, 2017)

Synchronization-based scalable subspace clustering of high-dimensional data. - Junming Shao; Xinzuo Wang; Qinli Yang; Claudia Plant; Christian Böhm 001 (Knowl. Inf. Syst., 2017)

Graph Clustering with Local Density-Cut. - Junming Shao; Qinli Yang; Zhong Zhang 004; Jinhu Liu; Stefan Kramer 001 (DASFAA (1), 2018)

Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization. - Zhong Zhang 004; Zhili Qin; Peiyan Li; Qinli Yang; Junming Shao (DASFAA (2), 2018)

Learning Individual Moving Preference and Social Interaction for Location Prediction. - Ruizhi Wu; Guangchun Luo; Qinli Yang; Junming Shao (IEEE Access, 2018)

Robust Prototype-Based Learning on Data Streams. - Junming Shao; Feng Huang; Qinli Yang; Guangchun Luo (IEEE Trans. Knowl. Data Eng., 2018)

Towards Robust Arbitrarily Oriented Subspace Clustering. - Zhong Zhang 004; Chongming Gao; Chongzhi Liu; Qinli Yang; Junming Shao (DASFAA (1), 2019)

Online Budgeted Least Squares with Unlabeled Data. - Chen Huang; Peiyan Li; Chongming Gao; Qinli Yang; Junming Shao (ICDM, 2019)

Dynamic Attribution Analysis for Runoff Change Integrating Landsat-Derived Land Use Dynamics with Swat Model. - Shasha Luo; Qinli Yang; Hongcai Wu; Jiaming Liu 002; Guoqing Wang; Yong Wang 011; Yuanyuan Yang 003 (IGARSS, 2019)

Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion. - Junming Shao; Zhong Zhang 004; Zhongjing Yu; Jun Wang; Yi Zhao; Qinli Yang (IJCAI, 2019)

A generic framework to analyse the spatiotemporal variations of water quality data on a catchment scale. - Qinli Yang; Miklas Scholz; Junming Shao; Guoqing Wang; Xiaofang Liu (Environ. Model. Softw., 2019)

Dynamic runoff simulation in a changing environment: A data stream approach. - Qinli Yang; Heng Zhang; Guoqing Wang; Shasha Luo; Dongzi Chen; Wanshan Peng; Junming Shao (Environ. Model. Softw., 2019)

Synchronization-based clustering on evolving data stream. - Junming Shao; Yue Tan; Lianli Gao; Qinli Yang; Claudia Plant; Ira Assent (Inf. Sci., 2019)

Semantic trajectory compression via multi-resolution synchronization-based clustering. - Chongming Gao; Yi Zhao; Ruizhi Wu; Qinli Yang; Junming Shao (Knowl. Based Syst., 2019)

ProfitLeader: identifying leaders in networks with profit capacity. - Zhongjing Yu; Junming Shao; Qinli Yang; Zejun Sun (World Wide Web, 2019)

Revisiting Representation Degeneration Problem in Language Modeling. - Zhong Zhang 004; Chongming Gao; Cong Xu; Rui Miao; Qinli Yang; Junming Shao (EMNLP (Findings), 2020)

Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning. - Peiyan Li; Zhili Qin; Honglian Wang; Qinli Yang; Junming Shao (ICDM, 2020)

Community Detection with Local Metric Learning. - Peiyan Li; Honglian Wang; Jianyun Lu; Qinli Yang; Junming Shao (ICDM, 2020)

Selective prototype-based learning on concept-drifting data streams. - Dongzi Chen; Qinli Yang; Jiaming Liu 002; Zhu Zeng (Inf. Sci., 2020)

Attributed graph clustering with subspace stochastic block model. - Haoran Chen; Zhongjing Yu; Qinli Yang; Junming Shao (Inf. Sci., 2020)

Semantic trajectory representation and retrieval via hierarchical embedding. - Chongming Gao; Zhong Zhang 004; Chen Huang; Hongzhi Yin; Qinli Yang; Junming Shao (Inf. Sci., 2020)

Evaluation of Precipitation Products by Using Multiple Hydrological Models over the Upper Yellow River Basin, China. - Xiaoxiang Guan; Jianyun Zhang; Qinli Yang; Xiongpeng Tang; Cuishan Liu; Junliang Jin; Yue Liu; Zhenxin Bao; Guoqing Wang (Remote. Sens., 2020)

Flexible, Robust, Scalable Semi-supervised Learning via Reliability Propagation. - Chen Huang; Liangxu Pan; Qinli Yang; Hongliang Wang; Junming Shao (ICDM, 2021)

A general framework for mining concept-drifting data streams with evolvable features. - Jiaqi Peng; Jinxia Guo; Qinli Yang; Jianyun Lu; Junming Shao (ICDM, 2021)

Modular neural network via exploring category hierarchy. - Wei Han 009; Changgang Zheng; Rui Zhang 070; Jinxia Guo; Qinli Yang; Junming Shao (Inf. Sci., 2021)

Data stream classification with novel class detection: a review, comparison and challenges. - Salah Ud Din; Junming Shao; Jay Kumar; Cobbinah Bernard Mawuli; S. M. Hasan Mahmud; Wei Zhang; Qinli Yang (Knowl. Inf. Syst., 2021)

Learning Evolving Concepts with Online Class Posterior Probability. - Junming Shao; Kai Wang; Jianyun Lu; Zhili Qin; Qiming Wangyang; Qinli Yang (DASFAA (2), 2022)

Runoff Prediction in a Data Scarce Region Based on Few-Shot Learning. - Minghong Yang; Qinli Yang; Junming Shao; Guoqing Wang (IGARSS, 2022)

Community detection in subspace of attribute. - Haoran Chen; Zhongjing Yu; Qinli Yang; Junming Shao (Inf. Sci., 2022)

Multi-instance attention network for few-shot learning. - Zhili Qin; Han Wang; Cobbinah Bernard Mawuli; Wei Han 009; Rui Zhang 070; Qinli Yang; Junming Shao (Inf. Sci., 2022)

Mixhead: Breaking the low-rank bottleneck in multi-head attention language models. - Zhong Zhang 004; Nian Shao; Chongming Gao; Rui Miao; Qinli Yang; Junming Shao (Knowl. Based Syst., 2022)

Reducing variations in multi-center Alzheimer's disease classification with convolutional adversarial autoencoder. - Bernard Cobbinah Mawuli; Christian Sorg; Qinli Yang; Arvid Ternblom; Changgang Zheng; Wei Han 009; Liwei Che; Junming Shao (Medical Image Anal., 2022)

An Online Semantic-Enhanced Graphical Model for Evolving Short Text Stream Clustering. - Jay Kumar; Salah Ud Din; Qinli Yang; Rajesh Kumar 014; Junming Shao (IEEE Trans. Cybern., 2022)

Open-world Semi-supervised Novel Class Discovery. - Jiaming Liu 002; Yangqiming Wang; Tongze Zhang; Yulu Fan; Qinli Yang; Junming Shao (IJCAI, 2023)

An End-to-end Learning Framework for Joint Compensation of Impairments in Coherent Optical Communication Systems. - Rui Zhang 070; Min Liao; Jun Chen; Xusong Ning; Lin Li; Qinli Yang; Yongsheng Xu; Junming Shao (INFOCOM, 2023)

Semi-supervised federated learning on evolving data streams. - Cobbinah Bernard Mawuli; Jay Kumar; Ebenezer Nanor; Shangxuan Fu; Liangxu Pan; Qinli Yang; Wei Zhang; Junming Shao (Inf. Sci., 2023)

A new few-shot learning model for runoff prediction: Demonstration in two data scarce regions. - Minghong Yang; Qinli Yang; Junming Shao; Guoqing Wang; Wei Zhang (Environ. Model. Softw., 2023)

Toward Noise-Resistant Graph Embedding With Subspace Clustering Information. - Zhongjing Yu; Gangyi Zhang; Jingyu Chen; Haoran Chen; Duo Zhang 006; Qinli Yang; Junming Shao (IEEE Trans. Cybern., 2023)

A context-enhanced Dirichlet model for online clustering in short text streams. - Jay Kumar; Junming Shao; Rajesh Kumar 014; Salah Ud Din; Cobbinah Bernard Mawuli; Qinli Yang (Expert Syst. Appl., 2023)

LSS: A locality-based structure system to evaluate the spreader's importance in social complex networks. - Aman Ullah; Junming Shao; Qinli Yang; Nasrullah Khan; Bernard Cobbinah Mawuli; Rajesh Kumar 014 (Expert Syst. Appl., 2023)

Online Semi-Supervised Classification on Multilabel Evolving High-Dimensional Text Streams. - Jay Kumar; Junming Shao; Rajesh Kumar 014; Salah Ud Din; Cobbinah Bernard Mawuli; Qinli Yang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

FedStream: Prototype-Based Federated Learning on Distributed Concept-Drifting Data Streams. - Cobbinah Bernard Mawuli; Liwei Che; Jay Kumar; Salah Ud Din; Zhili Qin; Qinli Yang; Junming Shao (IEEE Trans. Syst. Man Cybern. Syst., 2023)

FedSULP: A communication-efficient federated learning framework with selective updating and loss penalization. - Ebenezer Nanor; Bernard Cobbinah Mawuli; Qinli Yang; Junming Shao; Christiana Kobiah (Inf. Sci., 2023)

Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning. - Jiaming Liu 002; Hongyuan Liu 006; Zhili Qin; Wei Han 009; Yulu Fan; Qinli Yang; Junming Shao (CoRR, 2024)

Synchronization-based semi-supervised data streams classification with label evolution and extreme verification delay. - Salah Ud Din; Qinli Yang; Junming Shao; Cobbinah Bernard Mawuli; Aman Ullah; Waqar Ali 001 (Inf. Sci., 2024)

Robust graph embedding via Attack-aid Graph Denoising. - Zhili Qin; Han Wang; Zhongjing Yu; Qinli Yang; Junming Shao (Inf. Sci., 2024)

Unsupervised graph denoising via feature-driven matrix factorization. - Han Wang; Zhili Qin; Zejun Sun; Qinli Yang; Junming Shao (Inf. Sci., 2024)

Learning evolving prototypes for imbalanced data stream classification with limited labels. - Zhonglin Wu; Hongliang Wang; Jingxia Guo; Qinli Yang; Junming Shao (Inf. Sci., 2024)

A reliable adaptive prototype-based learning for evolving data streams with limited labels. - Salah Ud Din; Aman Ullah; Cobbinah Bernard Mawuli; Qinli Yang; Junming Shao (Inf. Process. Manag., 2024)

An adaptive rainfall-runoff model for daily runoff prediction under the changing environment: Stream-LSTM. - Feichi Hu; Qinli Yang; Junran Yang; Junming Shao; Guoqing Wang (Environ. Model. Softw., 2025)

Attribute enhanced random walk for community detection in attributed networks. - Zhili Qin; Haoran Chen; Zhongjing Yu; Qinli Yang; Junming Shao (Neurocomputing, 2025)

Bridging the gap between ratings and true user opinions with dynamic review alignment for personalized recommendation. - Xinyu Liu; Jinxia Guo; Qirui Hao; Hongliang Wang; Zhongjing Yu; Qinli Yang; Junming Shao (Neural Networks, 2025)

CFARMS: A clustered federated learning framework with recursive model selection. - Ebenezer Nanor; Bernard Mawuli Cobbinah; Qinli Yang; Junming Shao; Nan Meng; Jason Cheung; Philip K. Adjei; Leo Wang (Expert Syst. Appl., 2026)