Junming Shao

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 85

Top Venues

Ludwig Maximilians University Munich (PHD)

Education History

Ludwig Maximilians University Munich

PHD

Publications

Salah Ud Din, Aman Ullah, Cobbinah Bernard Mawuli, Qinli Yang, Junming Shao
A reliable adaptive prototype-based learning for evolving data streams with limited labels. Inf. Process. Manag. 61 (1) (2024)
Han Wang, Zhili Qin, Zejun Sun, Qinli Yang, Junming Shao
Unsupervised graph denoising via feature-driven matrix factorization. Inf. Sci. 661 (2024)
Jiaming Liu, Jun Tian, Wei Han, Zhili Qin, Yulu Fan, Junming Shao
Learning multiple gaussian prototypes for open-set recognition. Inf. Sci. 626 (2023)
Zhongjing Yu, Gangyi Zhang, Jingyu Chen, Haoran Chen, Duo Zhang, Qinli Yang, Junming Shao
Toward Noise-Resistant Graph Embedding With Subspace Clustering Information. IEEE Trans. Cybern. 53 (5) (2023)
Jay Kumar, Junming Shao, Rajesh Kumar, Salah Ud Din, Cobbinah Bernard Mawuli, Qinli Yang
Online Semi-Supervised Classification on Multilabel Evolving High-Dimensional Text Streams. IEEE Trans. Syst. Man Cybern. Syst. 53 (10) (2023)
Jianyun Lu, Junming Shao, Chunling Wu
Multi-level clustering based on cluster order constructed with dynamic local density. Appl. Intell. 53 (8) (2023)
Cobbinah Bernard Mawuli, Liwei Che, Jay Kumar, Salah Ud Din, Zhili Qin, Qinli Yang, Junming Shao
FedStream: Prototype-Based Federated Learning on Distributed Concept-Drifting Data Streams. IEEE Trans. Syst. Man Cybern. Syst. 53 (11) (2023)
Minghong Yang, Qinli Yang, Junming Shao, Guoqing Wang, Wei Zhang
A new few-shot learning model for runoff prediction: Demonstration in two data scarce regions. Environ. Model. Softw. 162 (2023)
Zhong Zhang, Bang Liu, Junming Shao
Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models. ACL (1) (2023)
Cobbinah Bernard Mawuli, Jay Kumar, Ebenezer Nanor, Shangxuan Fu, Liangxu Pan, Qinli Yang, Wei Zhang, Junming Shao
Semi-supervised federated learning on evolving data streams. Inf. Sci. 643 (2023)
Aman Ullah, Junming Shao, Qinli Yang, Nasrullah Khan, Bernard Cobbinah Mawuli, Rajesh Kumar
LSS: A locality-based structure system to evaluate the spreader's importance in social complex networks. Expert Syst. Appl. 228 (2023)
Zejun Sun, Yanan Sun, Xinfeng Chang, Feifei Wang, Qiming Wang, Aman Ullah, Junming Shao
Finding critical nodes in a complex network from information diffusion and Matthew effect aggregation. Expert Syst. Appl. 233 (2023)
Zhong Zhang, Bang Liu, Junming Shao
Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models. CoRR (2023)
Jay Kumar, Junming Shao, Rajesh Kumar, Salah Ud Din, Cobbinah Bernard Mawuli, Qinli Yang
A context-enhanced Dirichlet model for online clustering in short text streams. Expert Syst. Appl. 228 (2023)
Ebenezer Nanor, Bernard Cobbinah Mawuli, Qinli Yang, Junming Shao, Christiana Kobiah
FedSULP: A communication-efficient federated learning framework with selective updating and loss penalization. Inf. Sci. 651 (2023)
Rui Zhang, Min Liao, Jun Chen, Xusong Ning, Lin Li, Qinli Yang, Yongsheng Xu, Junming Shao
An End-to-end Learning Framework for Joint Compensation of Impairments in Coherent Optical Communication Systems. INFOCOM (2023)
Jiaming Liu, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang, Junming Shao
Open-world Semi-supervised Novel Class Discovery. CoRR (2023)
Minghang Deng, Zhong Zhang, Junming Shao
Seeing Is Not Always Believing: Invisible Collision Attack and Defence on Pre-Trained Models. CoRR (2023)
Jiaming Liu, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang, Junming Shao
Open-world Semi-supervised Novel Class Discovery. IJCAI (2023)
Minghong Yang, Qinli Yang, Junming Shao, Guoqing Wang
Runoff Prediction in a Data Scarce Region Based on Few-Shot Learning. IGARSS (2022)
Salah Ud Din, Jay Kumar, Junming Shao, Cobbinah Bernard Mawuli, Waldiodio David Ndiaye
Learning High-Dimensional Evolving Data Streams With Limited Labels. IEEE Trans. Cybern. 52 (11) (2022)
Wei Han, Yangqiming Wang, Christian Böhm, Junming Shao
An Interpretable Neuron Embedding for Static Knowledge Distillation. CoRR (2022)
Zhong Zhang, Nian Shao, Chongming Gao, Rui Miao, Qinli Yang, Junming Shao
Mixhead: Breaking the low-rank bottleneck in multi-head attention language models. Knowl. Based Syst. 240 (2022)
Jay Kumar, Salah Ud Din, Qinli Yang, Rajesh Kumar, Junming Shao
An Online Semantic-Enhanced Graphical Model for Evolving Short Text Stream Clustering. IEEE Trans. Cybern. 52 (12) (2022)
Haoran Chen, Zhongjing Yu, Qinli Yang, Junming Shao
Community detection in subspace of attribute. Inf. Sci. 602 (2022)
Zhili Qin, Han Wang, Cobbinah Bernard Mawuli, Wei Han, Rui Zhang, Qinli Yang, Junming Shao
Multi-instance attention network for few-shot learning. Inf. Sci. 611 (2022)
Claudia Plant, Nina C. Hubig, Junming Shao, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Anamaria Crisan
Visualization in Data Science VDS @ KDD 2022. KDD (2022)
Bernard Cobbinah Mawuli, Christian Sorg, Qinli Yang, Arvid Ternblom, Changgang Zheng, Wei Han, Liwei Che, Junming Shao
Reducing variations in multi-center Alzheimer's disease classification with convolutional adversarial autoencoder. Medical Image Anal. 82 (2022)
Junming Shao, Kai Wang, Jianyun Lu, Zhili Qin, Qiming Wangyang, Qinli Yang
Learning Evolving Concepts with Online Class Posterior Probability. DASFAA (2) (2022)
Honglian Wang, Peiyan Li, Wujun Tao, Bailin Feng, Junming Shao
Learning Dynamic User Behavior Based on Error-driven Event Representation. WWW (2021)
Jiaqi Peng, Jinxia Guo, Qinli Yang, Jianyun Lu, Junming Shao
A general framework for mining concept-drifting data streams with evolvable features. ICDM (2021)
Wei Han, Changgang Zheng, Rui Zhang, Jinxia Guo, Qinli Yang, Junming Shao
Modular neural network via exploring category hierarchy. Inf. Sci. 569 (2021)
Honglian Wang, Peiyan Li, Yang Liu, Junming Shao
Towards real-time demand-aware sequential POI recommendation. Inf. Sci. 547 (2021)
Salah Ud Din, Junming Shao, Jay Kumar, Cobbinah Bernard Mawuli, S. M. Hasan Mahmud, Wei Zhang, Qinli Yang
Data stream classification with novel class detection: a review, comparison and challenges. Knowl. Inf. Syst. 63 (9) (2021)
Claudia Plant, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Junming Shao
VDS'21: Visualization in Data Science. KDD (2021)
Chen Huang, Liangxu Pan, Qinli Yang, Hongliang Wang, Junming Shao
Flexible, Robust, Scalable Semi-supervised Learning via Reliability Propagation. ICDM (2021)
Wazir Ali, Jay Kumar, Zenglin Xu, Congjian Luo, Junyu Lu, Junming Shao, Rajesh Kumar, Yazhou Ren
A Subword Guided Neural Word Segmentation Model for Sindhi. CoRR (2020)
Salah Ud Din, Junming Shao, Jay Kumar, Waqar Ali, Jiaming Liu, Yu Ye
Online reliable semi-supervised learning on evolving data streams. Inf. Sci. 525 (2020)
Jay Kumar, Junming Shao, Salah Uddin, Wazir Ali
An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering. ACL (2020)
Peiyan Li, Zhili Qin, Honglian Wang, Qinli Yang, Junming Shao
Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning. ICDM (2020)
Peiyan Li, Honglian Wang, Jianyun Lu, Qinli Yang, Junming Shao
Community Detection with Local Metric Learning. ICDM (2020)
Haoran Chen, Zhongjing Yu, Qinli Yang, Junming Shao
Attributed graph clustering with subspace stochastic block model. Inf. Sci. 535 (2020)
Zhong Zhang, Chongming Gao, Cong Xu, Rui Miao, Qinli Yang, Junming Shao
Revisiting Representation Degeneration Problem in Language Modeling. EMNLP (Findings) (2020)
Salah Ud Din, Junming Shao
Exploiting evolving micro-clusters for data stream classification with emerging class detection. Inf. Sci. 507 (2020)
Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu
Large-Scale Multi-View Subspace Clustering in Linear Time. AAAI (2020)
Zhongjing Yu, Han Wang, Yang Liu, Christian Böhm, Junming Shao
Community Attention Network for Semi-supervised Node Classification. ICDM (2020)
Ruizhi Wu, Guangchun Luo, Qi Jin, Junming Shao, Chang-Tien Lu
Learning evolving user's behaviors on location-based social networks. GeoInformatica 24 (3) (2020)
Zhongjing Yu, Zhong Zhang, Haoran Chen, Junming Shao
Structured subspace embedding on attributed networks. Inf. Sci. 512 (2020)
Chongming Gao, Zhong Zhang, Chen Huang, Hongzhi Yin, Qinli Yang, Junming Shao
Semantic trajectory representation and retrieval via hierarchical embedding. Inf. Sci. 538 (2020)
Peiyan Li, Honglian Wang, Christian Böhm, Junming Shao
Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression. IJCAI (2020)
Zhong Zhang, Didi Kang, Chongming Gao, Junming Shao
SemiSync: Semi-supervised Clustering by Synchronization. DASFAA (3) (2019)
Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming Shao
BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation. DASFAA (3) (2019)
Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu
Large-scale Multi-view Subspace Clustering in Linear Time. CoRR (2019)
Junhua Chen, Wei Zeng, Junming Shao, Ge Fan
Preference modeling by exploiting latent components of ratings. Knowl. Inf. Syst. 60 (1) (2019)
Yan Zhou, Yanxi Li, Qing Zhu, Fen Chen, Junming Shao, Yunxing Luo, Yeting Zhang, Pengcheng Zhang, Weijun Yang
A reliable traffic prediction approach for bike-sharing system by exploiting rich information with temporal link prediction strategy. Trans. GIS 23 (5) (2019)
Zhong Zhang, Chongming Gao, Chongzhi Liu, Qinli Yang, Junming Shao
Towards Robust Arbitrarily Oriented Subspace Clustering. DASFAA (1) (2019)
Junming Shao, Yue Tan, Lianli Gao, Qinli Yang, Claudia Plant, Ira Assent
Synchronization-based clustering on evolving data stream. Inf. Sci. 501 (2019)
Zejun Sun, Bin Wang, Jinfang Sheng, Zhongjing Yu, Rongpei Zhou, Junming Shao
Community detection based on information dynamics. Neurocomputing 359 (2019)
Chongming Gao, Yi Zhao, Ruizhi Wu, Qinli Yang, Junming Shao
Semantic trajectory compression via multi-resolution synchronization-based clustering. Knowl. Based Syst. 174 (2019)
Qinli Yang, Miklas Scholz, Junming Shao, Guoqing Wang, Xiaofang Liu
A generic framework to analyse the spatiotemporal variations of water quality data on a catchment scale. Environ. Model. Softw. 122 (2019)
Yao Yang, Haoran Chen, Junming Shao
Triplet Enhanced AutoEncoder: Model-free Discriminative Network Embedding. IJCAI (2019)
Junming Shao, Zhong Zhang, Zhongjing Yu, Jun Wang, Yi Zhao, Qinli Yang
Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion. IJCAI (2019)
Zhongjing Yu, Junming Shao, Qinli Yang, Zejun Sun
ProfitLeader: identifying leaders in networks with profit capacity. World Wide Web 22 (2) (2019)
Qinli Yang, Heng Zhang, Guoqing Wang, Shasha Luo, Dongzi Chen, Wanshan Peng, Junming Shao
Dynamic runoff simulation in a changing environment: A data stream approach. Environ. Model. Softw. 112 (2019)
Chen Huang, Peiyan Li, Chongming Gao, Qinli Yang, Junming Shao
Online Budgeted Least Squares with Unlabeled Data. ICDM (2019)
Junming Shao, Qinli Yang, Zhong Zhang, Jinhu Liu, Stefan Kramer
Graph Clustering with Local Density-Cut. DASFAA (1) (2018)
Zejun Sun, Bin Wang, Jinfang Sheng, Zhongjing Yu, Junming Shao
Overlapping Community Detection Based on Information Dynamics. IEEE Access 6 (2018)
Zhong Zhang, Zhili Qin, Peiyan Li, Qinli Yang, Junming Shao
Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization. DASFAA (2) (2018)
Junming Shao, Feng Huang, Qinli Yang, Guangchun Luo
Robust Prototype-Based Learning on Data Streams. IEEE Trans. Knowl. Data Eng. 30 (5) (2018)
Ruizhi Wu, Guangchun Luo, Qinli Yang, Junming Shao
Learning Individual Moving Preference and Social Interaction for Location Prediction. IEEE Access 6 (2018)
Ruizhi Wu, Guangchun Luo, Junming Shao, Ling Tian, Chengzong Peng
Location prediction on trajectory data: A review. Big Data Min. Anal. 1 (2) (2018)
Lianli Gao, Jingkuan Song, Xingyi Liu, Junming Shao, Jiajun Liu, Jie Shao
Learning in high-dimensional multimedia data: the state of the art. Multim. Syst. 23 (3) (2017)
Lianli Gao, Jingkuan Song, Xingyi Liu, Junming Shao, Jiajun Liu, Jie Shao
Learning in High-Dimensional Multimedia Data: The State of the Art. CoRR (2017)
Junming Shao, Zhongjing Yu, Peiyan Li, Wei Han, Christian Sorg, Qinli Yang
Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-Driven Nonnegative Matrix Factorization. ICDM (2017)
Lianli Gao, Yuan Wang, Dongsheng Li, Junming Shao, Jingkuan Song
Real-time social media retrieval with spatial, temporal and social constraints. Neurocomputing 253 (2017)
Junming Shao, Xinzuo Wang, Qinli Yang, Claudia Plant, Christian Böhm
Synchronization-based scalable subspace clustering of high-dimensional data. Knowl. Inf. Syst. 52 (1) (2017)
Junming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, Qinli Yang
Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data. ICDM (2017)
Junhua Chen, Wei Zeng, Junming Shao, Ge Fan
Preference Modeling by Exploiting Latent Components of Ratings. CoRR (2017)
Zejun Sun, Bin Wang, Jinfang Sheng, Yixiang Hu, Yihan Wang, Junming Shao
Identifying Influential Nodes in Complex Networks Based on Weighted Formal Concept Analysis. IEEE Access 5 (2017)
Junming Shao, Chen Huang, Qinli Yang, Guangchun Luo
Reliable Semi-supervised Learning. ICDM (2016)
Junming Shao, Qinli Yang, Hoang-Vu Dang, Bertil Schmidt, Stefan Kramer
Scalable Clustering by Iterative Partitioning and Point Attractor Representation. ACM Trans. Knowl. Discov. Data 11 (1) (2016)
Junming Shao, Qinli Yang, Jinhu Liu, Stefan Kramer
Graph Clustering with Density-Cut. CoRR (2016)
Jinhu Liu, Jun Wang, Junming Shao, Tao Zhou
Online Social Activity Reflects Economic Status. CoRR (2015)
Junming Shao, Zhichao Han, Qinli Yang, Tao Zhou
Community Detection based on Distance Dynamics. KDD (2015)
Lianli Gao, Jingkuan Song, Junming Shao, Xiaofeng Zhu, Heng Tao Shen
Zero-shot Image Categorization by Image Correlation Exploration. ICMR (2015)
Junming Shao, Zhichao Han, Qinli Yang
Community Detection via Local Dynamic Interaction. CoRR (2014)
Junming Shao, Zahra Ahmadi, Stefan Kramer
Prototype-based learning on concept-drifting data streams. KDD (2014)
Junming Shao, Xiao He, Christian Böhm, Qinli Yang, Claudia Plant
Synchronization-Inspired Partitioning and Hierarchical Clustering. IEEE Trans. Knowl. Data Eng. 25 (4) (2013)
Junming Shao, Xiao He, Qinli Yang, Claudia Plant, Christian Böhm
Robust Synchronization-Based Graph Clustering. PAKDD (1) (2013)
Claudia Plant, Son Thai Mai, Junming Shao, Fabian J. Theis, Anke Meyer-Baese, Christian Böhm
Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms. Adv. Artif. Neural Syst. 2012 (2012)
Ebenezer Danso-Amoako, Miklas Scholz, Nickolas Kalimeris, Qinli Yang, Junming Shao
Predicting dam failure risk for sustainable flood retention basins: A generic case study for the wider Greater Manchester area. Comput. Environ. Urban Syst. 36 (5) (2012)
Junming Shao, Qinli Yang, Afra M. Wohlschläger, Christian Sorg
Discovering Aberrant Patterns of Human Connectome in Alzheimer's Disease via Subgraph Mining. ICDM Workshops (2012)
Junming Shao, Qinli Yang, Afra M. Wohlschläger, Christian Sorg
Insight into Disrupted Spatial Patterns of Human Connectome in Alzheimer's Disease via Subgraph Mining. Int. J. Knowl. Discov. Bioinform. 3 (1) (2012)
Qinli Yang, Junming Shao, Miklas Scholz, Christian Böhm, Claudia Plant
Multi-label classification models for sustainable flood retention basins. Environ. Model. Softw. 32 (2012)
Nikola Müller, Katrin Haegler, Junming Shao, Claudia Plant, Christian Böhm
Weighted Graph Compression for Parameter-free Clustering With PaCCo. SDM (2011)
Junming Shao, Claudia Plant, Qinli Yang, Christian Böhm
Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data. ICDM (2011)
Junming Shao, Klaus Hahn, Qinli Yang, Christian Böhm, Afra M. Wohlschläger, Nicholas Myers, Claudia Plant
Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain. ICDM Workshops (2010)
Junming Shao, Christian Böhm, Qinli Yang, Claudia Plant
Synchronization Based Outlier Detection. ECML/PKDD (3) (2010)
Christian Böhm, Claudia Plant, Junming Shao, Qinli Yang
Clustering by synchronization. KDD (2010)
Junming Shao, Klaus Hahn, Qinli Yang, Afra M. Wohlschläger, Christian Böhm, Nicholas Myers, Claudia Plant
Hierarchical Density-Based Clustering of White Matter Tracts in the Human Brain. Int. J. Knowl. Discov. Bioinform. 1 (4) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Junming Shao