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Cheng Lian
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2020 – today
- 2024
- [j34]Bingrong Xu
, Jianhua Yin
Low-Rank Optimal Transport for Robust Domain Adaptation. IEEE CAA J. Autom. Sinica 11(7): 1667-1680 (2024) - [j33]Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian
Multi-view class incremental learning. Inf. Fusion 102: 102021 (2024) - [j32]Siyuan Zhang, Cheng Lian
12-Lead ECG signal classification for detecting ECG arrhythmia via an information bottleneck-based multi-scale network. Inf. Sci. 662: 120239 (2024) - [j31]Tian Zhang, Cheng Lian
Cardiac signals classification via optional multimodal multiscale receptive fields CNN-enhanced Transformer. Knowl. Based Syst. 300: 112175 (2024) - [j30]Shunxiang Yang, Cheng Lian
Masked self-supervised ECG representation learning via multiview information bottleneck. Neural Comput. Appl. 36(14): 7625-7637 (2024) - [j29]Yuqing Wang
A Parallel Nonlinear Factor Recovery Method for VIO Based on a Factor Graph. IEEE Trans. Instrum. Meas. 73: 1-15 (2024) - [c8]Le Luo, Bingrong Xu, Qingyong Zhang, Cheng Lian, Jie Luo:
A Fourier Transform Framework for Domain Adaptation. PRCV (8) 2024: 19-33 - 2023
- [j28]Junbin Zang
AmtNet: Attentional multi-scale temporal network for phonocardiogram signal classification. Biomed. Signal Process. Control. 85: 104934 (2023) - [j27]Long Cheng, Cheng Lian
Cross-modal multiscale multi-instance learning for long-term ECG classification. Inf. Sci. 643: 119230 (2023) - [j26]Zhangyang Chen, Xingqing Xiao
Prion-like Aggregation of the Heptapeptide GNNQQNY into Amyloid Nanofiber Is Governed by Configuration Entropy. J. Chem. Inf. Model. 63(20): 6423-6435 (2023) - [j25]Haozhan Han, Cheng Lian
Multimodal multi-instance learning for long-term ECG classification. Knowl. Based Syst. 270: 110555 (2023) - [j24]Siyuan Zhang, Cheng Lian
A token selection-based multi-scale dual-branch CNN-transformer network for 12-lead ECG signal classification. Knowl. Based Syst. 280: 111006 (2023) - [j23]Guangyang Tian, Cheng Lian
Classification of Phonocardiogram Based on Multi-View Deep Network. Neural Process. Lett. 55(4): 3655-3670 (2023) - [j22]Shunxiang Yang
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 648-660 (2023) - [j21]Yupeng Wu, Cheng Lian
An Aggregated Convolutional Transformer Based on Slices and Channels for Multivariate Time Series Classification. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 768-779 (2023) - [i1]Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng:
Multi-View Class Incremental Learning. CoRR abs/2306.09675 (2023) - 2022
- [j20]Dan Shi
Terrain Simplification Algorithm in Radio Wave Propagation Prediction. IEEE Access 10: 3294-3306 (2022) - [j19]Guangyang Tian, Cheng Lian
Imbalanced Heart Sound Signal Classification Based on Two-Stage Trained DsaNet. Cogn. Comput. 14(4): 1378-1391 (2022) - [j18]Shu Sun, Xiaoping Wang
Landslide evolution state prediction and down-level control based on multi-task learning. Knowl. Based Syst. 238: 107884 (2022) - [j17]Wei Yao
A CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image Classification. Remote. Sens. 14(19): 4982 (2022) - [j16]Bingrong Xu
Few-Shot Domain Adaptation via Mixup Optimal Transport. IEEE Trans. Image Process. 31: 2518-2528 (2022) - 2021
- [j15]Wei Yao
ClusterCNN: Clustering-Based Feature Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18(11): 1991-1995 (2021) - [j14]Wei Zhou, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su:
Improve Semi-supervised Learning with Metric Learning Clusters and Auxiliary Fake Samples. Neural Process. Lett. 53(5): 3427-3443 (2021) - [j13]Bingrong Xu
Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning. IEEE Trans. Image Process. 30: 2207-2219 (2021) - 2020
- [j12]Lingzi Zhu, Cheng Lian, Zhigang Zeng, Yixin Su:
A Broad Learning System with Ensemble and Classification Methods for Multi-step-ahead Wind Speed Prediction. Cogn. Comput. 12(3): 654-666 (2020) - [j11]Ruochen Liu, Jin Liu, Runan Zhou, Cheng Lian, Renyu Bian:
A region division based decomposition approach for evolutionary many-objective optimization. Knowl. Based Syst. 194: 105518 (2020) - [j10]Cheng Lian
Landslide displacement interval prediction using lower upper bound estimation method with pre-trained random vector functional link network initialization. Neural Networks 130: 286-296 (2020) - [j9]Wei Zhou, Cheng Lian, Zhigang Zeng, Yixin Su:
Mutual Improvement Between Temporal Ensembling and Virtual Adversarial Training. Neural Process. Lett. 51(2): 1111-1124 (2020) - [j8]Zhihao Liu, Zhigang Zeng
Multidomain Features Fusion for Zero-Shot Learning. IEEE Trans. Emerg. Top. Comput. Intell. 4(6): 764-773 (2020)
2010 – 2019
- 2019
- [r1]Xiao Li, Cheng Lian, Shu Mo:
Spark SQL. Encyclopedia of Big Data Technologies 2019 - 2018
- [j7]Cheng Lian
Constructing prediction intervals for landslide displacement using bootstrapping random vector functional link networks selective ensemble with neural networks switched. Neurocomputing 291: 1-10 (2018) - [j6]Wei Yao, Zhigang Zeng, Cheng Lian
Pixel-wise regression using U-Net and its application on pansharpening. Neurocomputing 312: 364-371 (2018) - 2017
- [j5]Wei Yao, Zhigang Zeng, Cheng Lian
Generating probabilistic predictions using mean-variance estimation and echo state network. Neurocomputing 219: 536-547 (2017) - [c7]Ruochen Liu, Cheng Lian, Langlang Zhang, Xiao Wang:
A modified MOEA/D by introducing an invasive weed optimization operator. ICNC-FSKD 2017: 271-277 - 2016
- [j4]Cheng Lian
Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2683-2695 (2016) - [j3]Cheng Lian
Prediction Intervals for Landslide Displacement Based on Switched Neural Networks. IEEE Trans. Reliab. 65(3): 1483-1495 (2016) - 2015
- [j2]Dong Yan, Xusen Yin, Cheng Lian, Xiang Zhong, Xin Zhou, Gansha Wu:
Using Memory in the Right Way to Accelerate Big Data Processing. J. Comput. Sci. Technol. 30(1): 30-41 (2015) - [c6]Michael Armbrust, Reynold S. Xin, Cheng Lian
Spark SQL: Relational Data Processing in Spark. SIGMOD Conference 2015: 1383-1394 - 2014
- [j1]Cheng Lian
Ensemble of extreme learning machine for landslide displacement prediction based on time series analysis. Neural Comput. Appl. 24(1): 99-107 (2014) - [c5]Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang
Multi-step Predictions of Landslide Displacements Based on Echo State Network. ICONIP (1) 2014: 382-388 - [c4]Cheng Lian
Performance of combined artificial neural networks for forecasting landslide displacement. IJCNN 2014: 418-423 - [c3]Wei Yao, Zhigang Zeng, Cheng Lian
A Kernel ELM Classifier for High-Resolution Remotely Sensed Imagery Based on Multiple Features. ISNN 2014: 270-277 - 2013
- [c2]Dong Yang, Xiang Zhong, Dong Yan, Fangqin Dai, Xusen Yin, Cheng Lian, Zhongliang Zhu, Weihua Jiang, Gansha Wu:
NativeTask: A Hadoop compatible framework for high performance. IEEE BigData 2013: 94-101 - 2012
- [c1]Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang
Displacement Prediction Model of Landslide Based on Ensemble of Extreme Learning Machine. ICONIP (4) 2012: 240-247
Coauthor Index
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last updated on 2024-11-13 23:53 CET by the dblp team
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