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ORCIDQinli Yang
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- affiliation: Ludwig Maximilian University of Munich, Germany
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2020 – today
- 2024
[j38]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): 103532 (2024)- [j37]Han Wang, Zhili Qin, Zejun Sun, Qinli Yang, Junming Shao:
Unsupervised graph denoising via feature-driven matrix factorization. Inf. Sci. 661: 120156 (2024) - [j36]Salah Ud Din, Qinli Yang, Junming Shao, Cobbinah Bernard Mawuli, Aman Ullah, Waqar Ali:
Synchronization-based semi-supervised data streams classification with label evolution and extreme verification delay. Inf. Sci. 678: 120933 (2024) - [j35]Zhili Qin, Han Wang, Zhongjing Yu, Qinli Yang, Junming Shao:
Robust graph embedding via Attack-aid Graph Denoising. Inf. Sci. 678: 120942 (2024) - [j34]Zhonglin Wu, Hongliang Wang, Jingxia Guo, Qinli Yang, Junming Shao:
Learning evolving prototypes for imbalanced data stream classification with limited labels. Inf. Sci. 679: 120979 (2024) - [i4]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
- [j33]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: 105659 (2023) - [j32]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: 120262 (2023) - [j31]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: 120326 (2023) - [j30]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: 119235 (2023) - [j29]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: 119725 (2023) - [j28]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): 2980-2992 (2023) - [j27]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): 5983-5995 (2023) - [j26]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): 7112-7124 (2023) - [c26]Jiaming Liu, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang, Junming Shao:
Open-world Semi-supervised Novel Class Discovery. IJCAI 2023: 4002-4010 - [c25]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: 1-10 - [i3]Jiaming Liu, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang, Junming Shao:
Open-world Semi-supervised Novel Class Discovery. CoRR abs/2305.13095 (2023) - 2022
- [j25]Haoran Chen, Zhongjing Yu, Qinli Yang, Junming Shao:
Community detection in subspace of attribute. Inf. Sci. 602: 220-235 (2022) - [j24]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) - [j23]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: 108075 (2022) - [j22]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: 102585 (2022) - [j21]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): 13809-13820 (2022) - [c24]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 - [c23]Minghong Yang, Qinli Yang, Junming Shao, Guoqing Wang:
Runoff Prediction in a Data Scarce Region Based on Few-Shot Learning. IGARSS 2022: 6304-6307 - 2021
- [j20]Wei Han, Changgang Zheng, Rui Zhang, Jinxia Guo, Qinli Yang, Junming Shao:
Modular neural network via exploring category hierarchy. Inf. Sci. 569: 496-507 (2021) - [j19]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): 2231-2276 (2021) - [c22]Chen Huang, Liangxu Pan, Qinli Yang, Hongliang Wang, Junming Shao:
Flexible, Robust, Scalable Semi-supervised Learning via Reliability Propagation. ICDM 2021: 200-209 - [c21]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 - 2020
- [j18]Dongzi Chen, Qinli Yang, Jiaming Liu, Zhu Zeng:
Selective prototype-based learning on concept-drifting data streams. Inf. Sci. 516: 20-32 (2020) - [j17]Haoran Chen, Zhongjing Yu, Qinli Yang, Junming Shao:
Attributed graph clustering with subspace stochastic block model. Inf. Sci. 535: 130-141 (2020) - [j16]Chongming Gao, Zhong Zhang, Chen Huang, Hongzhi Yin, Qinli Yang, Junming Shao:
Semantic trajectory representation and retrieval via hierarchical embedding. Inf. Sci. 538: 176-192 (2020) - [j15]Xiaoxiang Guan, Jianyun Zhang, Qinli Yang, Xiongpeng Tang, Cuishan Liu, Junliang Jin, Yue Liu, Zhenxin Bao, Guoqing Wang:
Evaluation of Precipitation Products by Using Multiple Hydrological Models over the Upper Yellow River Basin, China. Remote. Sens. 12(24): 4023 (2020) - [c20]Zhong Zhang, Chongming Gao, Cong Xu, Rui Miao, Qinli Yang, Junming Shao:
Revisiting Representation Degeneration Problem in Language Modeling. EMNLP (Findings) 2020: 518-527 - [c19]Peiyan Li, Honglian Wang, Jianyun Lu, Qinli Yang, Junming Shao:
Community Detection with Local Metric Learning. ICDM 2020: 312-321 - [c18]Peiyan Li, Zhili Qin, Honglian Wang, Qinli Yang, Junming Shao:
Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning. ICDM 2020: 1100-1105
2010 – 2019
- 2019
- [j14]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) - [j13]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) - [j12]Junming Shao, Yue Tan, Lianli Gao, Qinli Yang, Claudia Plant, Ira Assent:
Synchronization-based clustering on evolving data stream. Inf. Sci. 501: 573-587 (2019) - [j11]Chongming Gao, Yi Zhao, Ruizhi Wu, Qinli Yang, Junming Shao:
Semantic trajectory compression via multi-resolution synchronization-based clustering. Knowl. Based Syst. 174: 177-193 (2019) - [j10]Zhongjing Yu, Junming Shao, Qinli Yang, Zejun Sun:
ProfitLeader: identifying leaders in networks with profit capacity. World Wide Web 22(2): 533-553 (2019) - [c17]Zhong Zhang, Chongming Gao, Chongzhi Liu, Qinli Yang, Junming Shao:
Towards Robust Arbitrarily Oriented Subspace Clustering. DASFAA (1) 2019: 276-291 - [c16]Chen Huang, Peiyan Li, Chongming Gao, Qinli Yang, Junming Shao:
Online Budgeted Least Squares with Unlabeled Data. ICDM 2019: 309-318 - [c15]Shasha Luo, Qinli Yang, Hongcai Wu, Jiaming Liu, Guoqing Wang, Yong Wang, Yuanyuan Yang:
Dynamic Attribution Analysis for Runoff Change Integrating Landsat-Derived Land Use Dynamics with Swat Model. IGARSS 2019: 6413-6416 - [c14]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: 3382-3388 - 2018
- [j9]Ruizhi Wu, Guangchun Luo, Qinli Yang, Junming Shao:
Learning Individual Moving Preference and Social Interaction for Location Prediction. IEEE Access 6: 10675-10687 (2018) - [j8]Junming Shao, Feng Huang, Qinli Yang, Guangchun Luo:
Robust Prototype-Based Learning on Data Streams. IEEE Trans. Knowl. Data Eng. 30(5): 978-991 (2018) - [c13]Junming Shao, Qinli Yang, Zhong Zhang, Jinhu Liu, Stefan Kramer:
Graph Clustering with Local Density-Cut. DASFAA (1) 2018: 187-202 - [c12]Zhong Zhang, Zhili Qin, Peiyan Li, Qinli Yang, Junming Shao:
Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization. DASFAA (2) 2018: 542-557 - 2017
- [j7]Junming Shao, Xinzuo Wang, Qinli Yang, Claudia Plant, Christian Böhm:
Synchronization-based scalable subspace clustering of high-dimensional data. Knowl. Inf. Syst. 52(1): 83-111 (2017) - [c11]Junming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, Qinli Yang:
Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data. ICDM 2017: 1075-1080 - [c10]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: 1081-1086 - 2016
- [j6]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): 5:1-5:23 (2016) - [c9]Junming Shao, Chen Huang, Qinli Yang, Guangchun Luo:
Reliable Semi-supervised Learning. ICDM 2016: 1197-1202 - [i2]Junming Shao, Qinli Yang, Jinhu Liu, Stefan Kramer:
Graph Clustering with Density-Cut. CoRR abs/1606.00950 (2016) - 2015
- [c8]Junming Shao, Zhichao Han, Qinli Yang, Tao Zhou:
Community Detection based on Distance Dynamics. KDD 2015: 1075-1084 - 2014
- [i1]Junming Shao, Zhichao Han, Qinli Yang:
Community Detection via Local Dynamic Interaction. CoRR abs/1409.7978 (2014) - 2013
- [j5]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) - [c7]Junming Shao, Xiao He, Qinli Yang, Claudia Plant, Christian Böhm:
Robust Synchronization-Based Graph Clustering. PAKDD (1) 2013: 249-260 - 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) - [c6]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
- [c5]Junming Shao, Claudia Plant, Qinli Yang, Christian Böhm:
Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data. ICDM 2011: 607-616 - 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, Junming Shao, Qinli Yang:
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
aka: Bernard Cobbinah Mawuli
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