Junming Shao

发表

Prediction of Alzheimer's disease using individual structural connectivity networks

C. Sorg, V. Riedl, Hans Förstl, 2012, Neurobiology of Aging.

Music Intervention Leads to Increased Insular Connectivity and Improved Clinical Symptoms in Schizophrenia

B. Biswal, D. Yao, C. Luo, 2018, Front. Neurosci..

Aberrant topology of striatum's connectivity is associated with the number of episodes in depression.

Junming Shao, Valentin Riedl, Hans Förstl, 2014, Brain : a journal of neurology.

Enhanced LSTM model for daily runoff prediction in the upper huai river basin, china

Guoqing Wang, Qinli Yang, Junming Shao, 2022, Engineering.

Community detection in subspace of attribute

Qinli Yang, Junming Shao, Haoran Chen, 2022, Inf. Sci..

Application of spatial statistics as a screening tool for sustainable flood retention basin management

M. Scholz, Qinli Yang, Junming Shao, 2012 .

Ongoing Slow Fluctuations in V1 Impact on Visual Perception

C. Sorg, V. Riedl, A. Wohlschläger, 2016, Front. Hum. Neurosci..

Multi-instance attention network for few-shot learning

Cobbinah Bernard Mawuli, Rui Zhang, Qinli Yang, 2022, Inf. Sci..

Reducing variations in multi-center Alzheimer's disease classification with convolutional adversarial autoencoder

C. Sorg, Qinli Yang, Junming Shao, 2022, Medical Image Anal..

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

Qing Zhu, Pengcheng Zhang, Fen Chen, 2019, Trans. GIS.

Learning High-Dimensional Evolving Data Streams With Limited Labels

Salah Ud Din, J. Kumar, Junming Shao, 2021, IEEE Transactions on Cybernetics.

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

Salah Ud Din, Qinli Yang, Junming Shao, 2021, IEEE Transactions on Cybernetics.

Multi-label classification models for sustainable flood retention basins

Claudia Plant, Junming Shao, Qinli Yang, 2012, Environ. Model. Softw..

Based on the Network Degeneration Hypothesis: Separating Individual Patients with Different Neurodegenerative Syndromes in a Preliminary Hybrid PET/MR Study

Junming Shao, Valentin Riedl, Timo Grimmer, 2016, The Journal of Nuclear Medicine.

Aberrant Intrinsic Connectivity of Hippocampus and Amygdala Overlap in the Fronto-Insular and Dorsomedial-Prefrontal Cortex in Major Depressive Disorder

Junming Shao, Valentin Riedl, Anselm Doll, 2013, Front. Hum. Neurosci..

Semantic trajectory compression via multi-resolution synchronization-based clustering

Yi Zhao, Junming Shao, Qinli Yang, 2019, Knowl. Based Syst..

Structured subspace embedding on attributed networks

Haoran Chen, Junming Shao, Zhong Zhang, 2020, Inf. Sci..

Community detection based on information dynamics

Jinfang Sheng, Zejun Sun, Junming Shao, 2019, Neurocomputing.

Graph Clustering with Local Density-Cut

Stefan Kramer, Zhong Zhang, Junming Shao, 2018, DASFAA.

Graph Clustering with Density-Cut pdf

Stefan Kramer, Junming Shao, Qinli Yang, 2016, ArXiv.

Community Detection based on Distance Dynamics

Junming Shao, Qinli Yang, Tao Zhou, 2015, KDD.

Weighted Graph Compression for Parameter-free Clustering With PaCCo

Christian Böhm, Katrin Haegler, Claudia Plant, 2011, SDM.

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

Bin Wang, Jinfang Sheng, Yixiang Hu, 2017, IEEE Access.

Large-scale Multi-view Subspace Clustering in Linear Time

Zenglin Xu, Zhitong Zhao, Junming Shao, 2019, AAAI.

Classification of First-Episode Schizophrenia Using Multimodal Brain Features: A Combined Structural and Diffusion Imaging Study

Wei Deng, Junming Shao, Qiang Wang, 2018, Schizophrenia bulletin.

Synchronization inspired data mining

Junming Shao, Junming Shao, 2011 .

Community Detection via Local Dynamic Interaction pdf

Junming Shao, Qinli Yang, Zhichao Han, 2014, ArXiv.

Data stream classification with novel class detection: a review, comparison and challenges

Junming Shao, Qinli Yang, Salah Ud Din, 2021, Knowledge and Information Systems.

More Consistently Altered Connectivity Patterns for Cerebellum and Medial Temporal Lobes than for Amygdala and Striatum in Schizophrenia

Junming Shao, Valentin Riedl, Afra Wohlschläger, 2016, Front. Hum. Neurosci..

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

Christian Böhm, Klaus Hahn, Claudia Plant, 2010, Int. J. Knowl. Discov. Bioinform..

Revisiting Representation Degeneration Problem in Language Modeling

Cong Xu, Zhong Zhang, Rui Miao, 2020, FINDINGS.

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

Jun Wang, Qinli Yang, Junming Shao, 2019, IJCAI.

Synchronization Based Outlier Detection

Christian Böhm, Claudia Plant, Junming Shao, 2010, ECML/PKDD.

Insight into Disrupted Spatial Patterns of Human Connectome in Alzheimer's Disease via Subgraph Mining

Junming Shao, Qinli Yang, Christian Sorg, 2012, Int. J. Knowl. Discov. Bioinform..

Common and distinct changes of default mode and salience network in schizophrenia and major depression

Lianli Gao, Cheng Luo, Junming Shao, 2018, Brain Imaging and Behavior.

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

Jingkuan Song, Lianli Gao, Jie Shao, 2015, Multimedia Systems.

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

Jiajun Liu, Jingkuan Song, Lianli Gao, 2015, Multimedia Systems.

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

Jay Kumar, Junming Shao, Salah Uddin, 2020, ACL.

Low-rank network signatures in the triple network separate schizophrenia and major depressive disorder

Lianli Gao, Xiaosong Zhang, Cheng Luo, 2019, NeuroImage: Clinical.

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

Junming Shao, Qinli Yang, Christian Sorg, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Towards real-time demand-aware sequential POI recommendation

Junming Shao, Peiyan Li, Yang Liu, 2021, Inf. Sci..

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

Shuai Yuan, Hongzhi Yin, Zhong Zhang, 2019, DASFAA.

Improving daily precipitation estimation in the data scarce area by merging rain gauge and TRMM data with a transfer learning framework

Qinli Yang, Junming Shao, Linlong Bai, 2022, Journal of Hydrology.

Robust Prototype-Based Learning on Data Streams

Feng Huang, Guangchun Luo, Junming Shao, 2018, IEEE Transactions on Knowledge and Data Engineering.

Prototype-based learning on concept-drifting data streams

Stefan Kramer, Junming Shao, Zahra Ahmadi, 2014, KDD.

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

Salah Ud Din, Qinli Yang, Junming Shao, 2023, Expert Systems with Applications.

Online reliable semi-supervised learning on evolving data streams

Waqar Ali, Jay Kumar, Junming Shao, 2020, Inf. Sci..

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

Zhong Zhang, Junming Shao, Zhili Qin, 2018, DASFAA.

Attributed graph clustering with subspace stochastic block model

Qinli Yang, Junming Shao, Zhongjing Yu, 2020, Inf. Sci..

LSS: A locality-based structure system to evaluate the spreader’s importance in social complex networks

Qinli Yang, Junming Shao, Nasrullah Khan, 2023, Expert Systems with Applications.

ProfitLeader: identifying leaders in networks with profit capacity

Qinli Yang, Junming Shao, Zhongjing Yu, 2019, World Wide Web.

White Matter Abnormalities in Major Depression Biotypes Identified by Diffusion Tensor Imaging

W. Deng, Xiao-hong Ma, Tao Li, 2019, Neuroscience Bulletin.

Semantic trajectory representation and retrieval via hierarchical embedding

Zhong Zhang, Hongzhi Yin, Junming Shao, 2020, Inf. Sci..

Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-Driven Nonnegative Matrix Factorization

Wei Han, Junming Shao, Peiyan Li, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

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

Junming Shao, Salah Ud Din, Junming Shao, 2020, Inf. Sci..

Assessing climate impact on forest cover in areas undergoing substantial land cover change using Landsat imagery.

Junming Shao, Qinli Yang, Shasha Luo, 2019, The Science of the total environment.

Location prediction on trajectory data: A review

Guangchun Luo, Junming Shao, Chengzong Peng, 2018, Big Data Min. Anal..

Predicting Multiple Functions of Sustainable Flood Retention Basins under Uncertainty via Multi-Instance Multi-Label Learning

Miklas Scholz, Claudia Plant, Junming Shao, 2015 .

Open-world Semi-supervised Novel Class Discovery

Qinli Yang, Junming Shao, Tongze Zhang, 2023, ArXiv.

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

Christian Böhm, Peiyan Li, Junming Shao, 2020, IJCAI.

Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning

Qinli Yang, Junming Shao, Zhili Qin, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Synchronization-based clustering on evolving data stream

Yue Tan, Ira Assent, Lianli Gao, 2019, Inf. Sci..

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

Jingkuan Song, Lianli Gao, Yuan Wang, 2017, Neurocomputing.

Learning Individual Moving Preference and Social Interaction for Location Prediction

Guangchun Luo, Junming Shao, Qinli Yang, 2018, IEEE Access.

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

Jianyun Lu, Qinli Yang, Junming Shao, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

A new few-shot learning model for runoff prediction: Demonstration in two data scarce regions

W. Zhang, Qinli Yang, Junming Shao, 2023, Environ. Model. Softw..

Christian Böhm, Xiao He, Claudia Plant, 2011, DMMH '11.

Learning multiple gaussian prototypes for open-set recognition

Junming Shao, Jun Tian, Yulu Fan, 2023, Inf. Sci..

Dynamic runoff simulation in a changing environment: A data stream approach

Heng Zhang, Guoqing Wang, Junming Shao, 2019, Environ. Model. Softw..

Community Attention Network for Semi-supervised Node Classification

Junming Shao, Christian Böhm, Zhongjing Yu, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Dynamic Streamflow Simulation via Online Gradient-Boosted Regression Tree

Heng Zhang, Junming Shao, Qinli Yang, 2019, Journal of Hydrologic Engineering.

Predicting dam failure risk for sustainable flood retention basins: A generic case study for the wider Greater Manchester area

Miklas Scholz, Junming Shao, Qinli Yang, 2012, Comput. Environ. Urban Syst..

Preference modeling by exploiting latent components of ratings

Wei Zeng, Junhua Chen, Junming Shao, 2017, Knowledge and Information Systems.

Uncovering the essential links in online commercial networks

Mingsheng Shang, Wei Zeng, Junming Shao, 2016, Scientific Reports.

Attribution Analysis for Runoff Change on Multiple Scales in a Humid Subtropical Basin Dominated by Forest, East China

Dawei Han, H. Lü, Guoqing Wang, 2019, Forests.

Triplet Enhanced AutoEncoder: Model-free Discriminative Network Embedding

Yao Yang, Haoran Chen, Junming Shao, 2019, IJCAI.

Online Social Activity Reflects Economic Status pdf

Jun Wang, Tao Zhou, Junming Shao, 2015, arXiv.org.

Toward Noise-Resistant Graph Embedding With Subspace Clustering Information

Qinli Yang, Junming Shao, Haoran Chen, 2021, IEEE Transactions on Cybernetics.

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

Qinli Yang, Junming Shao, Lin Li, 2023, IEEE Conference on Computer Communications.

Common and distinct changes of default mode and salience network in schizophrenia and major depression

Guangchun Luo, D. Yao, C. Sorg, 2018, Brain Imaging and Behavior.

A generic framework to analyse the spatiotemporal variations of water quality data on a catchment scale

Guoqing Wang, Xiaofang Liu, Miklas Scholz, 2017, Environ. Model. Softw..

A Price Driven Hazard Approach to User Retention pdf

Wei Zeng, Junhua Chen, Ge Fan, 2017, ArXiv.

Finding critical nodes in a complex network from information diffusion and Matthew effect aggregation

Yanan Sun, Junming Shao, Aman Ullah, 2023, Expert Syst. Appl..

Modular neural network via exploring category hierarchy

Junming Shao, Qinli Yang, Changgang Zheng, 2021, Inf. Sci..

Learning evolving user’s behaviors on location-based social networks

Chang-Tien Lu, Guangchun Luo, Junming Shao, 2020, GeoInformatica.

An Interpretable Neuron Embedding for Static Knowledge Distillation

Junming Shao, Christian Böhm, Wei Han, 2022, ArXiv.

A climate-adaptive transfer learning framework for improving soil moisture estimation in the Qinghai-Tibet Plateau

Qinli Yang, Junming Shao, Guoqing Wang, 2024, Journal of Hydrology.

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

Christian Böhm, Klaus Hahn, Claudia Plant, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Synchronization-Inspired Interpretable Neural Networks.

Jiaming Liu, Junming Shao, Zhili Qin, 2023, IEEE transactions on neural networks and learning systems.

Synchronization-based scalable subspace clustering of high-dimensional data

Christian Böhm, Claudia Plant, Junming Shao, 2016, Knowledge and Information Systems.

Synchronization-Inspired Partitioning and Hierarchical Clustering

Christian Böhm, Xiao He, Claudia Plant, 2013, IEEE Transactions on Knowledge and Data Engineering.

Clustering by synchronization

Claudia Plant, Junming Shao, Qinli Yang, 2010, KDD.

An attention-mechanism-based deep fusion model for improving quantitative precipitation estimation in a sparsely-gauged basin

Qinli Yang, Junming Shao, Guoqing Wang, 2024, Journal of Hydrology.

Overlapping Community Detection Based on Information Dynamics

Bin Wang, Jinfang Sheng, Zejun Sun, 2018, IEEE Access.