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Junming Shao
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2020 – today
- 2025
- [j59]Jianyun Lu, Dehui Li, Quanwang Wu, Junming Shao:
HFS-CSR: A hierarchical feature selection method based on correlation and structural redundancy. Expert Syst. Appl. 262: 125660 (2025) - [j58]Zhili Qin
, Haoran Chen, Zhongjing Yu
Attribute enhanced random walk for community detection in attributed networks. Neurocomputing 615: 128826 (2025) - 2024
- [j57]Zhili Qin
Rethinking few-shot class-incremental learning: A lazy learning baseline. Expert Syst. Appl. 250: 123848 (2024) - [j56]Aman Ullah
Towards investigating influencers in complex social networks using electric potential concept from a centrality perspective. Inf. Fusion 109: 102439 (2024) - [j55]Salah Ud Din
A reliable adaptive prototype-based learning for evolving data streams with limited labels. Inf. Process. Manag. 61(1): 103532 (2024) - [j54]Han Wang, Zhili Qin
Unsupervised graph denoising via feature-driven matrix factorization. Inf. Sci. 661: 120156 (2024) - [j53]Salah Ud Din
Synchronization-based semi-supervised data streams classification with label evolution and extreme verification delay. Inf. Sci. 678: 120933 (2024) - [j52]Zhili Qin
Robust graph embedding via Attack-aid Graph Denoising. Inf. Sci. 678: 120942 (2024) - [j51]Zhonglin Wu
Learning evolving prototypes for imbalanced data stream classification with limited labels. Inf. Sci. 679: 120979 (2024) - [j50]Wei Han
Synchronization-Inspired Interpretable Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16762-16774 (2024) - [c40]Wei Han, Zhili Qin, Junming Shao:
Interpretable Function Embedding and Module in Convolutional Neural Networks. ICME 2024: 1-6 - [i12]Jiaming Liu, Hongyuan Liu, Zhili Qin, Wei Han, Yulu Fan, Qinli Yang, Junming Shao:
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning. CoRR abs/2408.10046 (2024) - 2023
- [j49]Jianyun Lu, Junming Shao
Multi-level clustering based on cluster order constructed with dynamic local density. Appl. Intell. 53(8): 9744-9761 (2023) - [j48]Minghong Yang
A new few-shot learning model for runoff prediction: Demonstration in two data scarce regions. Environ. Model. Softw. 162: 105659 (2023) - [j47]Jay Kumar, Junming Shao
A context-enhanced Dirichlet model for online clustering in short text streams. Expert Syst. Appl. 228: 120262 (2023) - [j46]Aman Ullah
LSS: A locality-based structure system to evaluate the spreader's importance in social complex networks. Expert Syst. Appl. 228: 120326 (2023) - [j45]Zejun Sun
Finding critical nodes in a complex network from information diffusion and Matthew effect aggregation. Expert Syst. Appl. 233: 120927 (2023) - [j44]Jiaming Liu, Jun Tian
Learning multiple gaussian prototypes for open-set recognition. Inf. Sci. 626: 738-753 (2023) - [j43]Cobbinah Bernard Mawuli, Jay Kumar, Ebenezer Nanor, Shangxuan Fu, Liangxu Pan, Qinli Yang
Semi-supervised federated learning on evolving data streams. Inf. Sci. 643: 119235 (2023) - [j42]Ebenezer Nanor, Bernard Cobbinah Mawuli, Qinli Yang
FedSULP: A communication-efficient federated learning framework with selective updating and loss penalization. Inf. Sci. 651: 119725 (2023) - [j41]Zhongjing Yu
Toward Noise-Resistant Graph Embedding With Subspace Clustering Information. IEEE Trans. Cybern. 53(5): 2980-2992 (2023) - [j40]Jay Kumar
Online Semi-Supervised Classification on Multilabel Evolving High-Dimensional Text Streams. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 5983-5995 (2023) - [j39]Cobbinah Bernard Mawuli, Liwei Che, Jay Kumar
FedStream: Prototype-Based Federated Learning on Distributed Concept-Drifting Data Streams. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 7112-7124 (2023) - [c39]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: 1701-1713 - [c38]Jiaming Liu, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang, Junming Shao:
Open-world Semi-supervised Novel Class Discovery. IJCAI 2023: 4002-4010 - [c37]Rui Zhang
An End-to-end Learning Framework for Joint Compensation of Impairments in Coherent Optical Communication Systems. INFOCOM 2023: 1-10 - [i11]Jiaming Liu, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang, Junming Shao:
Open-world Semi-supervised Novel Class Discovery. CoRR abs/2305.13095 (2023) - [i10]Zhong Zhang, Bang Liu, Junming Shao:
Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models. CoRR abs/2305.17446 (2023) - [i9]Minghang Deng, Zhong Zhang, Junming Shao:
Seeing Is Not Always Believing: Invisible Collision Attack and Defence on Pre-Trained Models. CoRR abs/2309.13579 (2023) - 2022
- [j38]Haoran Chen, Zhongjing Yu, Qinli Yang, Junming Shao:
Community detection in subspace of attribute. Inf. Sci. 602: 220-235 (2022) - [j37]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: 464-475 (2022) - [j36]Zhong Zhang
Mixhead: Breaking the low-rank bottleneck in multi-head attention language models. Knowl. Based Syst. 240: 108075 (2022) - [j35]Bernard Cobbinah Mawuli, Christian Sorg, Qinli Yang, Arvid Ternblom, Changgang Zheng
Reducing variations in multi-center Alzheimer's disease classification with convolutional adversarial autoencoder. Medical Image Anal. 82: 102585 (2022) - [j34]Salah Ud Din
Learning High-Dimensional Evolving Data Streams With Limited Labels. IEEE Trans. Cybern. 52(11): 11373-11384 (2022) - [j33]Jay Kumar
An Online Semantic-Enhanced Graphical Model for Evolving Short Text Stream Clustering. IEEE Trans. Cybern. 52(12): 13809-13820 (2022) - [c36]Junming Shao, Kai Wang, Jianyun Lu, Zhili Qin, Qiming Wangyang, Qinli Yang:
Learning Evolving Concepts with Online Class Posterior Probability. DASFAA (2) 2022: 639-647 - [c35]Minghong Yang, Qinli Yang, Junming Shao, Guoqing Wang:
Runoff Prediction in a Data Scarce Region Based on Few-Shot Learning. IGARSS 2022: 6304-6307 - [c34]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: 4894-4895 - [i8]Wei Han, Yangqiming Wang, Christian Böhm
An Interpretable Neuron Embedding for Static Knowledge Distillation. CoRR abs/2211.07647 (2022) - 2021
- [j32]Honglian Wang
Towards real-time demand-aware sequential POI recommendation. Inf. Sci. 547: 482-497 (2021) - [j31]Wei Han
Modular neural network via exploring category hierarchy. Inf. Sci. 569: 496-507 (2021) - [j30]Salah Ud Din
Data stream classification with novel class detection: a review, comparison and challenges. Knowl. Inf. Syst. 63(9): 2231-2276 (2021) - [c33]Chen Huang, Liangxu Pan, Qinli Yang, Hongliang Wang, Junming Shao:
Flexible, Robust, Scalable Semi-supervised Learning via Reliability Propagation. ICDM 2021: 200-209 - [c32]Jiaqi Peng, Jinxia Guo, Qinli Yang, Jianyun Lu, Junming Shao:
A general framework for mining concept-drifting data streams with evolvable features. ICDM 2021: 1276-1281 - [c31]Claudia Plant, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Junming Shao:
VDS'21: Visualization in Data Science. KDD 2021: 4149-4150 - [c30]Honglian Wang
Learning Dynamic User Behavior Based on Error-driven Event Representation. WWW 2021: 2457-2465 - 2020
- [j29]Ruizhi Wu
Learning evolving user's behaviors on location-based social networks. GeoInformatica 24(3): 713-743 (2020) - [j28]Salah Ud Din
Exploiting evolving micro-clusters for data stream classification with emerging class detection. Inf. Sci. 507: 404-420 (2020) - [j27]Zhongjing Yu
Structured subspace embedding on attributed networks. Inf. Sci. 512: 726-740 (2020) - [j26]Salah Ud Din
Online reliable semi-supervised learning on evolving data streams. Inf. Sci. 525: 153-171 (2020) - [j25]Haoran Chen, Zhongjing Yu
Attributed graph clustering with subspace stochastic block model. Inf. Sci. 535: 130-141 (2020) - [j24]Chongming Gao
Semantic trajectory representation and retrieval via hierarchical embedding. Inf. Sci. 538: 176-192 (2020) - [c29]Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu:
Large-Scale Multi-View Subspace Clustering in Linear Time. AAAI 2020: 4412-4419 - [c28]Jay Kumar
An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering. ACL 2020: 766-776 - [c27]Zhong Zhang
Revisiting Representation Degeneration Problem in Language Modeling. EMNLP (Findings) 2020: 518-527 - [c26]Peiyan Li
Community Detection with Local Metric Learning. ICDM 2020: 312-321 - [c25]Peiyan Li
Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning. ICDM 2020: 1100-1105 - [c24]Zhongjing Yu, Han Wang
Community Attention Network for Semi-supervised Node Classification. ICDM 2020: 1382-1387 - [c23]Peiyan Li
Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression. IJCAI 2020: 1359-1365 - [i7]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 abs/2012.15079 (2020)
2010 – 2019
- 2019
- [j23]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: 157-165 (2019) - [j22]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) - [j21]Zejun Sun
Community detection based on information dynamics. Neurocomputing 359: 341-352 (2019) - [j20]Junming Shao
Synchronization-based clustering on evolving data stream. Inf. Sci. 501: 573-587 (2019) - [j19]Junhua Chen, Wei Zeng
Preference modeling by exploiting latent components of ratings. Knowl. Inf. Syst. 60(1): 495-521 (2019) - [j18]Chongming Gao
Semantic trajectory compression via multi-resolution synchronization-based clustering. Knowl. Based Syst. 174: 177-193 (2019) - [j17]Yan Zhou
A reliable traffic prediction approach for bike-sharing system by exploiting rich information with temporal link prediction strategy. Trans. GIS 23(5): 1125-1151 (2019) - [j16]Zhongjing Yu
ProfitLeader: identifying leaders in networks with profit capacity. World Wide Web 22(2): 533-553 (2019) - [c22]Zhong Zhang
Towards Robust Arbitrarily Oriented Subspace Clustering. DASFAA (1) 2019: 276-291 - [c21]Zhong Zhang
SemiSync: Semi-supervised Clustering by Synchronization. DASFAA (3) 2019: 358-362 - [c20]Chongming Gao
BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation. DASFAA (3) 2019: 487-490 - [c19]Chen Huang, Peiyan Li
Online Budgeted Least Squares with Unlabeled Data. ICDM 2019: 309-318 - [c18]Junming Shao, Zhong Zhang
Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion. IJCAI 2019: 3382-3388 - [c17]Yao Yang, Haoran Chen, Junming Shao:
Triplet Enhanced AutoEncoder: Model-free Discriminative Network Embedding. IJCAI 2019: 5363-5369 - [i6]Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu:
Large-scale Multi-view Subspace Clustering in Linear Time. CoRR abs/1911.09290 (2019) - 2018
- [j15]Ruizhi Wu
Learning Individual Moving Preference and Social Interaction for Location Prediction. IEEE Access 6: 10675-10687 (2018) - [j14]Zejun Sun
Overlapping Community Detection Based on Information Dynamics. IEEE Access 6: 70919-70934 (2018) - [j13]Ruizhi Wu
Location prediction on trajectory data: A review. Big Data Min. Anal. 1(2): 108-127 (2018) - [j12]Junming Shao
Robust Prototype-Based Learning on Data Streams. IEEE Trans. Knowl. Data Eng. 30(5): 978-991 (2018) - [c16]Junming Shao, Qinli Yang, Zhong Zhang
Graph Clustering with Local Density-Cut. DASFAA (1) 2018: 187-202 - [c15]Zhong Zhang
Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization. DASFAA (2) 2018: 542-557 - 2017
- [j11]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: 3777-3789 (2017) - [j10]Lianli Gao
Real-time social media retrieval with spatial, temporal and social constraints. Neurocomputing 253: 77-88 (2017) - [j9]Junming Shao, Xinzuo Wang, Qinli Yang, Claudia Plant
Synchronization-based scalable subspace clustering of high-dimensional data. Knowl. Inf. Syst. 52(1): 83-111 (2017) - [j8]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): 303-313 (2017) - [c14]Junming Shao, Chongming Gao
Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data. ICDM 2017: 1075-1080 - [c13]Junming Shao, Zhongjing Yu
Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-Driven Nonnegative Matrix Factorization. ICDM 2017: 1081-1086 - [i5]Lianli Gao, Jingkuan Song, Xingyi Liu, Junming Shao, Jiajun Liu, Jie Shao:
Learning in High-Dimensional Multimedia Data: The State of the Art. CoRR abs/1707.02683 (2017) - [i4]Junhua Chen, Wei Zeng, Junming Shao, Ge Fan:
Preference Modeling by Exploiting Latent Components of Ratings. CoRR abs/1710.07072 (2017) - 2016
- [j7]Junming Shao, Qinli Yang, Hoang-Vu Dang, Bertil Schmidt
Scalable Clustering by Iterative Partitioning and Point Attractor Representation. ACM Trans. Knowl. Discov. Data 11(1): 5:1-5:23 (2016) - [c12]Junming Shao, Chen Huang, Qinli Yang, Guangchun Luo:
Reliable Semi-supervised Learning. ICDM 2016: 1197-1202 - [i3]Junming Shao, Qinli Yang, Jinhu Liu, Stefan Kramer:
Graph Clustering with Density-Cut. CoRR abs/1606.00950 (2016) - 2015
- [c11]Junming Shao, Zhichao Han
Community Detection based on Distance Dynamics. KDD 2015: 1075-1084 - [c10]Lianli Gao, Jingkuan Song, Junming Shao, Xiaofeng Zhu
Zero-shot Image Categorization by Image Correlation Exploration. ICMR 2015: 487-490 - [i2]Jinhu Liu, Jun Wang, Junming Shao, Tao Zhou:
Online Social Activity Reflects Economic Status. CoRR abs/1509.06805 (2015) - 2014
- [c9]Junming Shao, Zahra Ahmadi
Prototype-based learning on concept-drifting data streams. KDD 2014: 412-421 - [i1]Junming Shao, Zhichao Han, Qinli Yang:
Community Detection via Local Dynamic Interaction. CoRR abs/1409.7978 (2014) - 2013
- [j6]Junming Shao, Xiao He, Christian Böhm, Qinli Yang, Claudia Plant
Synchronization-Inspired Partitioning and Hierarchical Clustering. IEEE Trans. Knowl. Data Eng. 25(4): 893-905 (2013) - [c8]Junming Shao, Xiao He, Qinli Yang, Claudia Plant, Christian Böhm:
Robust Synchronization-Based Graph Clustering. PAKDD (1) 2013: 249-260 - 2012
- [j5]Claudia Plant
Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms. Adv. Artif. Neural Syst. 2012: 962105:1-962105:13 (2012) - [j4]Qinli Yang, Junming Shao, Miklas Scholz, Christian Böhm, Claudia Plant
Multi-label classification models for sustainable flood retention basins. Environ. Model. Softw. 32: 27-36 (2012) - [j3]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): 23-38 (2012) - [j2]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): 423-433 (2012) - [c7]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: 86-93 - 2011
- [b1]Junming Shao:
Synchronization inspired data mining. Ludwig Maximilians University Munich, 2011, pp. 1-302 - [c6]Junming Shao, Claudia Plant
Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data. ICDM 2011: 607-616 - [c5]Nikola Müller, Katrin Haegler, Junming Shao, Claudia Plant
Weighted Graph Compression for Parameter-free Clustering With PaCCo. SDM 2011: 932-943 - 2010
- [j1]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): 1-25 (2010) - [c4]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: 747-754 - [c3]Christian Böhm, Claudia Plant
Clustering by synchronization. KDD 2010: 583-592 - [c2]Junming Shao, Christian Böhm, Qinli Yang, Claudia Plant:
Synchronization Based Outlier Detection. ECML/PKDD (3) 2010: 245-260
2000 – 2009
- 2008
- [c1]Junming Shao, Dongjian He, Qinli Yang:
Multi-semantic Scene Classification Based on Region of Interest. CIMCA/IAWTIC/ISE 2008: 732-737
Coauthor Index
Salah Ud Din
aka: Salah Uddin
aka: Salah Uddin
Cobbinah Bernard Mawuli
aka: Bernard Cobbinah Mawuli
aka: Bernard Cobbinah Mawuli
[j58] [j55] [j54] [j53] [j52] [j51] [i12] [j48] [j47] [j46] [j43] [j42] [j41] [j40] [j39] [c38] [c37] [i11] [j38] [j37] [j36] [j35] [j33] [c36] [c35] [j31] [j30] [c33] [c32] [j25] [j24] [c27] [c26] [c25] [j23] [j22] [j20] [j18] [j16] [c22] [c19] [c18] [j15] [j12] [c16] [c15] [j9] [c14] [c13] [j7] [c12] [i3] [c11] [i1] [j6] [c8] [j4] [j3] [j2] [c7] [c6] [j1] [c4] [c3] [c2] [c1]
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