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)

Weighted Graph Compression for Parameter-free Clustering With PaCCo. - Nikola Müller; Katrin Haegler; Junming Shao; Claudia Plant; Christian Böhm 001 (SDM, 2011)

Synchronization inspired data mining. - Junming Shao (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)

Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms. - Claudia Plant; Son Thai Mai; Junming Shao; Fabian J. Theis; Anke Meyer-Baese; Christian Böhm 001 (Adv. Artif. Neural Syst., 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)

Prototype-based learning on concept-drifting data streams. - Junming Shao; Zahra Ahmadi; Stefan Kramer 001 (KDD, 2014)

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)

Zero-shot Image Categorization by Image Correlation Exploration. - Lianli Gao; Jingkuan Song; Junming Shao; Xiaofeng Zhu 001; Heng Tao Shen (ICMR, 2015)

Online Social Activity Reflects Economic Status. - Jinhu Liu; Jun Wang; Junming Shao; Tao Zhou (CoRR, 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)

Identifying Influential Nodes in Complex Networks Based on Weighted Formal Concept Analysis. - Zejun Sun; Bin Wang 017; Jinfang Sheng; Yixiang Hu; Yihan Wang; Junming Shao (IEEE Access, 2017)

Real-time social media retrieval with spatial, temporal and social constraints. - Lianli Gao; Yuan Wang 003; Dongsheng Li; Junming Shao; Jingkuan Song (Neurocomputing, 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)

Learning in high-dimensional multimedia data: the state of the art. - Lianli Gao; Jingkuan Song; Xingyi Liu; Junming Shao; Jiajun Liu; Jie Shao 001 (Multim. 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)

Overlapping Community Detection Based on Information Dynamics. - Zejun Sun; Bin Wang 017; Jinfang Sheng; Zhongjing Yu; Junming Shao (IEEE Access, 2018)

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

Location prediction on trajectory data: A review. - Ruizhi Wu; Guangchun Luo; Junming Shao; Ling Tian; Chengzong Peng (Big Data Min. Anal., 2018)

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

BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation. - Chongming Gao; Shuai Yuan 018; Zhong Zhang 004; Hongzhi Yin; Junming Shao (DASFAA (3), 2019)

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

SemiSync: Semi-supervised Clustering by Synchronization. - Zhong Zhang 004; Didi Kang; Chongming Gao; Junming Shao (DASFAA (3), 2019)

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

Triplet Enhanced AutoEncoder: Model-free Discriminative Network Embedding. - Yao Yang; Haoran Chen; Junming Shao (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)

Community detection based on information dynamics. - Zejun Sun; Bin Wang 017; Jinfang Sheng; Zhongjing Yu; Rongpei Zhou; Junming Shao (Neurocomputing, 2019)

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

Preference modeling by exploiting latent components of ratings. - Junhua Chen; Wei Zeng 013; Junming Shao; Ge Fan (Knowl. Inf. Syst., 2019)

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

A reliable traffic prediction approach for bike-sharing system by exploiting rich information with temporal link prediction strategy. - Yan Zhou; Yanxi Li 003; Qing Zhu; Fen Chen; Junming Shao; Yunxing Luo; Yeting Zhang; Pengcheng Zhang; Weijun Yang (Trans. GIS, 2019)

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

Large-Scale Multi-View Subspace Clustering in Linear Time. - Zhao Kang 001; Wangtao Zhou; Zhitong Zhao; Junming Shao; Meng Han; Zenglin Xu (AAAI, 2020)

An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering. - Jay Kumar; Junming Shao; Salah Uddin; Wazir Ali (ACL, 2020)

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)

Community Attention Network for Semi-supervised Node Classification. - Zhongjing Yu; Han Wang; Yang Liu; Christian Böhm 001; Junming Shao (ICDM, 2020)

Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression. - Peiyan Li; Honglian Wang; Christian Böhm 001; Junming Shao (IJCAI, 2020)

A Subword Guided Neural Word Segmentation Model for Sindhi. - Wazir Ali; Jay Kumar; Zenglin Xu; Congjian Luo; Junyu Lu; Junming Shao; Rajesh Kumar 014; Yazhou Ren 001 (CoRR, 2020)

Learning evolving user's behaviors on location-based social networks. - Ruizhi Wu; Guangchun Luo; Qi Jin; Junming Shao; Chang-Tien Lu (GeoInformatica, 2020)

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

Exploiting evolving micro-clusters for data stream classification with emerging class detection. - Salah Ud Din; Junming Shao (Inf. Sci., 2020)

Online reliable semi-supervised learning on evolving data streams. - Salah Ud Din; Junming Shao; Jay Kumar; Waqar Ali 001; Jiaming Liu 002; Yu Ye (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)

Structured subspace embedding on attributed networks. - Zhongjing Yu; Zhong Zhang 004; Haoran Chen; Junming Shao (Inf. Sci., 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)

VDS'21: Visualization in Data Science. - Claudia Plant; Alvitta Ottley; Liang Gou; Torsten Möller; Adam Perer; Alexander Lex; Junming Shao (KDD, 2021)

Learning Dynamic User Behavior Based on Error-driven Event Representation. - Honglian Wang; Peiyan Li; Wujun Tao; Bailin Feng; Junming Shao (WWW, 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)

Towards real-time demand-aware sequential POI recommendation. - Honglian Wang; Peiyan Li; Yang Liu; 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)

Visualization in Data Science VDS @ KDD 2022. - Claudia Plant; Nina C. Hubig; Junming Shao; Alvitta Ottley; Liang Gou; Torsten Möller; Adam Perer; Alexander Lex; Anamaria Crisan (KDD, 2022)

An Interpretable Neuron Embedding for Static Knowledge Distillation. - Wei Han 009; Yangqiming Wang; Christian Böhm 001; Junming Shao (CoRR, 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)

Learning High-Dimensional Evolving Data Streams With Limited Labels. - Salah Ud Din; Jay Kumar; Junming Shao; Cobbinah Bernard Mawuli; Waldiodio David Ndiaye (IEEE Trans. Cybern., 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)

Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models. - Zhong Zhang 004; Bang Liu; Junming Shao (ACL (1), 2023)

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)

Seeing Is Not Always Believing: Invisible Collision Attack and Defence on Pre-Trained Models. - Minghang Deng; Zhong Zhang 004; Junming Shao (CoRR, 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)

Multi-level clustering based on cluster order constructed with dynamic local density. - Jianyun Lu; Junming Shao; Chunling Wu (Appl. Intell., 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)

Learning multiple gaussian prototypes for open-set recognition. - Jiaming Liu 002; Jun Tian; Wei Han 009; Zhili Qin; Yulu Fan; Junming Shao (Inf. Sci., 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)

Finding critical nodes in a complex network from information diffusion and Matthew effect aggregation. - Zejun Sun; Yanan Sun; Xinfeng Chang; Feifei Wang; Qiming Wang; Aman Ullah; Junming Shao (Expert Syst. Appl., 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)

Interpretable Function Embedding and Module in Convolutional Neural Networks. - Wei Han 009; Zhili Qin; Junming Shao (ICME, 2024)

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)

Rethinking few-shot class-incremental learning: A lazy learning baseline. - Zhili Qin; Wei Han 009; Jiaming Liu 002; Rui Zhang 070; Qingli Yang; Zejun Sun; Junming Shao (Expert Syst. Appl., 2024)

Towards investigating influencers in complex social networks using electric potential concept from a centrality perspective. - Aman Ullah; Salah Ud Din; Nasrullah Khan; Cobbinah Bernard Mawuli; Junming Shao (Inf. Fusion, 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)

Synchronization-Inspired Interpretable Neural Networks. - Wei Han 009; Zhili Qin; Jiaming Liu 002; Christian Böhm 001; Junming Shao (IEEE Trans. Neural Networks Learn. Syst., 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)

Information entropy peaks clustering using dynamic reverse nearest neighbor sequence and 3D decision graph. - Jianyun Lu; Zhong Chen 001; Junming Shao; Chunling Wu (Expert Syst. Appl., 2025)

HFS-CSR: A hierarchical feature selection method based on correlation and structural redundancy. - Jianyun Lu; Dehui Li; Quanwang Wu; Junming Shao (Expert Syst. Appl., 2025)

Unsupervised contrastive clustering via density cluster representative combination. - Jianyun Lu; Junming Shao (Expert Syst. Appl., 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)

Collaborate for Real-Time Gain: Semantic-Based Robotic Communication in 3D Object Tracking. - Junming Shao; Xiaoqi Qin; Jian Gao 013; Yanlin Li; Liang Xin; Ping Zhang 003 (IEEE Trans. Mob. Comput., 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)