Junming Shao

According to our database, Junming Shao authored at least 97 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., January, 2024

Unsupervised graph denoising via feature-driven matrix factorization.

Han Wang, Zhili Qin, Zejun Sun, Qinli Yang, Junming Shao

Inf. Sci., 2024

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., December, 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., December, 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., November, 2023

Online Semi-Supervised Classification on Multilabel Evolving High-Dimensional Text Streams.

Jay Kumar, Junming Shao, Rajesh Kumar, Salah Ud Din, Cobbinah Bernard Mawuli, Qinli Yang

IEEE Trans. Syst. Man Cybern. Syst., October, 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

Expert Syst. Appl., October, 2023

A context-enhanced Dirichlet model for online clustering in short text streams.

Jay Kumar, Junming Shao, Rajesh Kumar, Salah Ud Din, Cobbinah Bernard Mawuli, Qinli Yang

Expert Syst. Appl., October, 2023

Toward Noise-Resistant Graph Embedding With Subspace Clustering Information.

Zhongjing Yu, Gangyi Zhang, Jingyu Chen, Haoran Chen, Duo Zhang, Qinli Yang, Junming Shao

IEEE Trans. Cybern., May, 2023

Learning multiple gaussian prototypes for open-set recognition.

Jiaming Liu, Jun Tian, Wei Han, Zhili Qin, Yulu Fan, Junming Shao

Inf. Sci., May, 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., April, 2023

Multi-level clustering based on cluster order constructed with dynamic local density.

Jianyun Lu, Junming Shao, Chunling Wu

Appl. Intell., April, 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

Seeing Is Not Always Believing: Invisible Collision Attack and Defence on Pre-Trained Models.

Minghang Deng, Zhong Zhang, Junming Shao

CoRR, 2023

An End-to-end Learning Framework for Joint Compensation of Impairments in Coherent Optical Communication Systems.

Rui Zhang, Min Liao, Jun Chen, Xusong Ning, Lin Li, Qinli Yang, Yongsheng Xu, Junming Shao

Proceedings of the IEEE INFOCOM 2023, 2023

Open-world Semi-supervised Novel Class Discovery.

Jiaming Liu, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang, Junming Shao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models.

Zhong Zhang, Bang Liu, Junming Shao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

An Online Semantic-Enhanced Graphical Model for Evolving Short Text Stream Clustering.

Jay Kumar, Salah Ud Din, Qinli Yang, Rajesh Kumar, Junming Shao

IEEE Trans. Cybern., 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

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, Liwei Che, Junming Shao

Medical Image Anal., 2022

Mixhead: Breaking the low-rank bottleneck in multi-head attention language models.

Zhong Zhang, Nian Shao, Chongming Gao, Rui Miao, Qinli Yang, Junming Shao

Knowl. Based Syst., 2022

Multi-instance attention network for few-shot learning.

Zhili Qin, Han Wang, Cobbinah Bernard Mawuli, Wei Han, Rui Zhang, Qinli Yang, Junming Shao

Inf. Sci., 2022

Community detection in subspace of attribute.

Haoran Chen, Zhongjing Yu, Qinli Yang, Junming Shao

Inf. Sci., 2022

An Interpretable Neuron Embedding for Static Knowledge Distillation.

Wei Han, Yangqiming Wang, Christian Böhm, Junming Shao

CoRR, 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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Runoff Prediction in a Data Scarce Region Based on Few-Shot Learning.

Minghong Yang, Qinli Yang, Junming Shao, Guoqing Wang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Learning Evolving Concepts with Online Class Posterior Probability.

Junming Shao, Kai Wang, Jianyun Lu, Zhili Qin, Qiming Wangyang, Qinli Yang

Proceedings of the Database Systems for Advanced Applications, 2022

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

Towards real-time demand-aware sequential POI recommendation.

Honglian Wang, Peiyan Li, Yang Liu, Junming Shao

Inf. Sci., 2021

Modular neural network via exploring category hierarchy.

Wei Han, Changgang Zheng, Rui Zhang, Jinxia Guo, Qinli Yang, Junming Shao

Inf. Sci., 2021

Learning Dynamic User Behavior Based on Error-driven Event Representation.

Honglian Wang, Peiyan Li, Wujun Tao, Bailin Feng, Junming Shao

Proceedings of the WWW '21: The Web Conference 2021, 2021

VDS'21: Visualization in Data Science.

Claudia Plant, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Junming Shao

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A general framework for mining concept-drifting data streams with evolvable features.

Jiaqi Peng, Jinxia Guo, Qinli Yang, Jianyun Lu, Junming Shao

Proceedings of the IEEE International Conference on Data Mining, 2021

Flexible, Robust, Scalable Semi-supervised Learning via Reliability Propagation.

Chen Huang, Liangxu Pan, Qinli Yang, Hongliang Wang, Junming Shao

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Structured subspace embedding on attributed networks.

Zhongjing Yu, Zhong Zhang, Haoran Chen, Junming Shao

Inf. Sci., 2020

Semantic trajectory representation and retrieval via hierarchical embedding.

Chongming Gao, Zhong Zhang, Chen Huang, Hongzhi Yin, Qinli Yang, Junming Shao

Inf. Sci., 2020

Online reliable semi-supervised learning on evolving data streams.

Salah Ud Din, Junming Shao, Jay Kumar, Waqar Ali, Jiaming Liu, Yu Ye

Inf. Sci., 2020

Exploiting evolving micro-clusters for data stream classification with emerging class detection.

Salah Ud Din, Junming Shao

Inf. Sci., 2020

Attributed graph clustering with subspace stochastic block model.

Haoran Chen, Zhongjing Yu, Qinli Yang, Junming Shao

Inf. Sci., 2020

Learning evolving user's behaviors on location-based social networks.

Ruizhi Wu, Guangchun Luo, Qi Jin, Junming Shao, Chang-Tien Lu

GeoInformatica, 2020

A Subword Guided Neural Word Segmentation Model for Sindhi.

Wazir Ali, Jay Kumar, Zenglin Xu, Congjian Luo, Junyu Lu, Junming Shao, Rajesh Kumar, Yazhou Ren

CoRR, 2020

Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression.

Peiyan Li, Honglian Wang, Christian Böhm, Junming Shao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Community Attention Network for Semi-supervised Node Classification.

Zhongjing Yu, Han Wang, Yang Liu, Christian Böhm, Junming Shao

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Community Detection with Local Metric Learning.

Peiyan Li, Honglian Wang, Jianyun Lu, Qinli Yang, Junming Shao

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning.

Peiyan Li, Zhili Qin, Honglian Wang, Qinli Yang, Junming Shao

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Revisiting Representation Degeneration Problem in Language Modeling.

Zhong Zhang, Chongming Gao, Cong Xu, Rui Miao, Qinli Yang, Junming Shao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering.

Jay Kumar, Junming Shao, Salah Uddin, Wazir Ali

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Large-Scale Multi-View Subspace Clustering in Linear Time.

Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

ProfitLeader: identifying leaders in networks with profit capacity.

Zhongjing Yu, Junming Shao, Qinli Yang, Zejun Sun

World Wide Web, 2019

A reliable traffic prediction approach for bike-sharing system by exploiting rich information with temporal link prediction strategy.

Yan Zhou, Yanxi Li, Qing Zhu, Fen Chen, Junming Shao, Yunxing Luo, Yeting Zhang, Pengcheng Zhang, Weijun Yang

Trans. GIS, 2019

Semantic trajectory compression via multi-resolution synchronization-based clustering.

Chongming Gao, Yi Zhao, Ruizhi Wu, Qinli Yang, Junming Shao

Knowl. Based Syst., 2019

Preference modeling by exploiting latent components of ratings.

Junhua Chen, Wei Zeng, Junming Shao, Ge Fan

Knowl. Inf. Syst., 2019

Synchronization-based clustering on evolving data stream.

Junming Shao, Yue Tan, Lianli Gao, Qinli Yang, Claudia Plant, Ira Assent

Inf. Sci., 2019

Community detection based on information dynamics.

Zejun Sun, Bin Wang, Jinfang Sheng, Zhongjing Yu, Rongpei Zhou, Junming Shao

Neurocomputing, 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

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

Triplet Enhanced AutoEncoder: Model-free Discriminative Network Embedding.

Yao Yang, Haoran Chen, Junming Shao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion.

Junming Shao, Zhong Zhang, Zhongjing Yu, Jun Wang, Yi Zhao, Qinli Yang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Online Budgeted Least Squares with Unlabeled Data.

Chen Huang, Peiyan Li, Chongming Gao, Qinli Yang, Junming Shao

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

SemiSync: Semi-supervised Clustering by Synchronization.

Zhong Zhang, Didi Kang, Chongming Gao, Junming Shao

Proceedings of the Database Systems for Advanced Applications, 2019

Towards Robust Arbitrarily Oriented Subspace Clustering.

Zhong Zhang, Chongming Gao, Chongzhi Liu, Qinli Yang, Junming Shao

Proceedings of the Database Systems for Advanced Applications, 2019

BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation.

Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming Shao

Proceedings of the Database Systems for Advanced Applications, 2019

2018

Robust Prototype-Based Learning on Data Streams.

Junming Shao, Feng Huang, Qinli Yang, Guangchun Luo

IEEE Trans. Knowl. Data Eng., 2018

Location prediction on trajectory data: A review.

Ruizhi Wu, Guangchun Luo, Junming Shao, Ling Tian, Chengzong Peng

Big Data Min. Anal., 2018

Learning Individual Moving Preference and Social Interaction for Location Prediction.

Ruizhi Wu, Guangchun Luo, Qinli Yang, Junming Shao

IEEE Access, 2018

Overlapping Community Detection Based on Information Dynamics.

Zejun Sun, Bin Wang, Jinfang Sheng, Zhongjing Yu, Junming Shao

IEEE Access, 2018

Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization.

Zhong Zhang, Zhili Qin, Peiyan Li, Qinli Yang, Junming Shao

Proceedings of the Database Systems for Advanced Applications, 2018

Graph Clustering with Local Density-Cut.

Junming Shao, Qinli Yang, Zhong Zhang, Jinhu Liu, Stefan Kramer

Proceedings of the Database Systems for Advanced Applications, 2018

2017

Learning in high-dimensional multimedia data: the state of the art.

Lianli Gao, Jingkuan Song, Xingyi Liu, Junming Shao, Jiajun Liu, Jie Shao

Multim. Syst., 2017

Synchronization-based scalable subspace clustering of high-dimensional data.

Junming Shao, Xinzuo Wang, Qinli Yang, Claudia Plant, Christian Böhm

Knowl. Inf. Syst., 2017

Real-time social media retrieval with spatial, temporal and social constraints.

Lianli Gao, Yuan Wang, Dongsheng Li, Junming Shao, Jingkuan Song

Neurocomputing, 2017

Identifying Influential Nodes in Complex Networks Based on Weighted Formal Concept Analysis.

Zejun Sun, Bin Wang, Jinfang Sheng, Yixiang Hu, Yihan Wang, Junming Shao

IEEE Access, 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, Christian Sorg, Qinli Yang

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data.

Junming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, Qinli Yang

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Scalable Clustering by Iterative Partitioning and Point Attractor Representation.

Junming Shao, Qinli Yang, Hoang-Vu Dang, Bertil Schmidt, Stefan Kramer

ACM Trans. Knowl. Discov. Data, 2016

Graph Clustering with Density-Cut.

Junming Shao, Qinli Yang, Jinhu Liu, Stefan Kramer

CoRR, 2016

Reliable Semi-supervised Learning.

Junming Shao, Chen Huang, Qinli Yang, Guangchun Luo

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Online Social Activity Reflects Economic Status.

Jinhu Liu, Jun Wang, Junming Shao, Tao Zhou

CoRR, 2015

Zero-shot Image Categorization by Image Correlation Exploration.

Lianli Gao, Jingkuan Song, Junming Shao, Xiaofeng Zhu, Heng Tao Shen

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Community Detection based on Distance Dynamics.

Junming Shao, Zhichao Han, Qinli Yang, Tao Zhou

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Community Detection via Local Dynamic Interaction.

Junming Shao, Zhichao Han, Qinli Yang

CoRR, 2014

Prototype-based learning on concept-drifting data streams.

Junming Shao, Zahra Ahmadi, Stefan Kramer

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Synchronization-Inspired Partitioning and Hierarchical Clustering.

Junming Shao, Xiao He, Christian Böhm, Qinli Yang, Claudia Plant

IEEE Trans. Knowl. Data Eng., 2013

Robust Synchronization-Based Graph Clustering.

Junming Shao, Xiao He, Qinli Yang, Claudia Plant, Christian Böhm

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

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

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

Multi-label classification models for sustainable flood retention basins.

Qinli Yang, Junming Shao, Miklas Scholz, Christian Böhm, Claudia Plant

Environ. Model. Softw., 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

Adv. Artif. Neural Syst., 2012

Discovering Aberrant Patterns of Human Connectome in Alzheimer's Disease via Subgraph Mining.

Junming Shao, Qinli Yang, Afra M. Wohlschläger, Christian Sorg

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Synchronization inspired data mining.

Junming Shao

PhD thesis, 2011

Weighted Graph Compression for Parameter-free Clustering With PaCCo.

Nikola Müller, Katrin Haegler, Junming Shao, Claudia Plant, Christian Böhm

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data.

Junming Shao, Claudia Plant, Qinli Yang, Christian Böhm

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Hierarchical Density-Based Clustering of White Matter Tracts in the Human Brain.

Junming Shao, Klaus Hahn, Qinli Yang, Afra M. Wohlschläger, Christian Böhm, Nicholas Myers, Claudia Plant

Int. J. Knowl. Discov. Bioinform., 2010

Synchronization Based Outlier Detection.

Junming Shao, Christian Böhm, Qinli Yang, Claudia Plant

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Clustering by synchronization.

Christian Böhm, Claudia Plant, Junming Shao, Qinli Yang

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain.

Junming Shao, Klaus Hahn, Qinli Yang, Christian Böhm, Afra M. Wohlschläger, Nicholas Myers, Claudia Plant

Proceedings of the ICDMW 2010, 2010

2008

Multi-semantic Scene Classification Based on Region of Interest.

Junming Shao, Dongjian He, Qinli Yang

Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008