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ORCIDCheng Lian 0003
Person information
- affiliation: Wuhan University of Technology, Wuhan, China
Other persons with the same name
- Cheng Lian — disambiguation page
- Cheng Lian 0001
![[0009-0007-7391-8364]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0007-7391-8364")
— Databricks, San Francisco, CA, USA - Cheng Lian 0002 — Beijing University of Post and Telecommunications, Beijing, China
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2020 – today
- 2026
[j37]Honggang Yang, Cheng Lian, Bingrong Xu, Yilin Chen, Pengbo Zhao, Zhigang Zeng:
Decoupled self-supervised deep multi-task learning framework for subscriber portrait in smart meter. Pattern Recognit. 172: 112633 (2026)- [j36]Honggang Yang, Cheng Lian, Bingrong Xu, Ruijin Ding, Zhigang Zeng:
PowerDiffuser: Collaborative Contrastive-Reconstruction Self-Supervised Learning for Robust Power Load Signal Representation. IEEE Trans. Ind. Informatics 22(2): 1461-1472 (2026) - 2025
- [j35]Qianjiang Chen, Cheng Lian, Bingrong Xu, Quan Zhou, Yixin Su, Zhigang Zeng:
Large Language Model-assisted multi-scale hierarchical classification of ECG signals. Knowl. Based Syst. 324: 113807 (2025) - [j34]Yufeng Wei, Cheng Lian, Bingrong Xu, Pengbo Zhao, Honggang Yang, Zhigang Zeng:
Bimodal Masked Autoencoders with internal representation connections for electrocardiogram classification. Pattern Recognit. 161: 111311 (2025) - [j33]Pengbo Zhao, Cheng Lian, Bingrong Xu, Zhigang Zeng:
Multiscale Global Prompt Transformer for EEG-Based Driver Fatigue Recognition. IEEE Trans Autom. Sci. Eng. 22: 2700-2711 (2025) - [j32]Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding:
Generative Mixup Networks for Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4054-4065 (2025) - [j31]Honggang Yang, Cheng Lian, Bingrong Xu, Ruijin Ding, Pengbo Zhao, Zhigang Zeng:
Self-Supervised Latent Feature-Guided Multi-Step Diffusion Model for Electricity Theft Detection With Imbalanced and Missing Data. IEEE Trans. Smart Grid 16(3): 2439-2450 (2025) - 2024
- [j30]Haozhan Han, Cheng Lian, Bingrong Xu, Zhigang Zeng, Adi Alhudhaif, Kemal Polat:
A MIL-based framework via contrastive instance learning and multimodal learning for long-term ECG classification. Appl. Soft Comput. 167: 112372 (2024) - [j29]Bingrong Xu, Jianhua Yin, Cheng Lian, Yixin Su, Zhigang Zeng:
Low-Rank Optimal Transport for Robust Domain Adaptation. IEEE CAA J. Autom. Sinica 11(7): 1667-1680 (2024) - [j28]Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng:
Multi-view class incremental learning. Inf. Fusion 102: 102021 (2024) - [j27]Siyuan Zhang, Cheng Lian, Bingrong Xu, Yixin Su, Adi Alhudhaif:
12-Lead ECG signal classification for detecting ECG arrhythmia via an information bottleneck-based multi-scale network. Inf. Sci. 662: 120239 (2024) - [j26]Tian Zhang, Cheng Lian, Bingrong Xu, Yixin Su, Zhigang Zeng:
Cardiac signals classification via optional multimodal multiscale receptive fields CNN-enhanced Transformer. Knowl. Based Syst. 300: 112175 (2024) - [j25]Shunxiang Yang, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su, Chenyang Xue:
Masked self-supervised ECG representation learning via multiview information bottleneck. Neural Comput. Appl. 36(14): 7625-7637 (2024) - [j24]Yuqing Wang, Danhong Zhang, Yixin Su, Cheng Lian, Kunxiang Deng:
A Parallel Nonlinear Factor Recovery Method for VIO Based on a Factor Graph. IEEE Trans. Instrum. Meas. 73: 1-15 (2024) - 2023
- [j23]Junbin Zang, Cheng Lian, Bingrong Xu, Zhidong Zhang, Yixin Su, Chenyang Xue:
AmtNet: Attentional multi-scale temporal network for phonocardiogram signal classification. Biomed. Signal Process. Control. 85: 104934 (2023) - [j22]Long Cheng, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su:
Cross-modal multiscale multi-instance learning for long-term ECG classification. Inf. Sci. 643: 119230 (2023) - [j21]Haozhan Han, Cheng Lian, Zhigang Zeng, Bingrong Xu, Junbin Zang, Chenyang Xue:
Multimodal multi-instance learning for long-term ECG classification. Knowl. Based Syst. 270: 110555 (2023) - [j20]Siyuan Zhang, Cheng Lian, Bingrong Xu, Junbin Zang, Zhigang Zeng:
A token selection-based multi-scale dual-branch CNN-transformer network for 12-lead ECG signal classification. Knowl. Based Syst. 280: 111006 (2023) - [j19]Guangyang Tian, Cheng Lian, Bingrong Xu, Junbin Zang, Zhidong Zhang, Chenyang Xue:
Classification of Phonocardiogram Based on Multi-View Deep Network. Neural Process. Lett. 55(4): 3655-3670 (2023) - [j18]Shunxiang Yang, Cheng Lian, Zhigang Zeng, Bingrong Xu, Junbin Zang, Zhidong Zhang:
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 648-660 (2023) - [j17]Yupeng Wu, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su:
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
- [j16]Guangyang Tian, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su, Junbin Zang, Zhidong Zhang, Chenyang Xue:
Imbalanced Heart Sound Signal Classification Based on Two-Stage Trained DsaNet. Cogn. Comput. 14(4): 1378-1391 (2022) - [j15]Wei Yao, Cheng Lian, Lorenzo Bruzzone:
A CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image Classification. Remote. Sens. 14(19): 4982 (2022) - [j14]Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding:
Few-Shot Domain Adaptation via Mixup Optimal Transport. IEEE Trans. Image Process. 31: 2518-2528 (2022) - 2021
- [j13]Wei Yao, Cheng Lian, Lorenzo Bruzzone:
ClusterCNN: Clustering-Based Feature Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18(11): 1991-1995 (2021) - [j12]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) - [j11]Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding:
Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning. IEEE Trans. Image Process. 30: 2207-2219 (2021) - 2020
- [j10]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) - [j9]Cheng Lian, Zhigang Zeng, Xiaoping Wang, Wei Yao, Yixin Su, Huiming Tang:
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) - [j8]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) - [j7]Zhihao Liu, Zhigang Zeng, Cheng Lian:
Multidomain Features Fusion for Zero-Shot Learning. IEEE Trans. Emerg. Top. Comput. Intell. 4(6): 764-773 (2020)
2010 – 2019
- 2018
- [j6]Cheng Lian, Lingzi Zhu, Zhigang Zeng, Yixin Su, Wei Yao, Huiming Tang:
Constructing prediction intervals for landslide displacement using bootstrapping random vector functional link networks selective ensemble with neural networks switched. Neurocomputing 291: 1-10 (2018) - [j5]Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang:
Pixel-wise regression using U-Net and its application on pansharpening. Neurocomputing 312: 364-371 (2018) - 2017
- [j4]Wei Yao, Zhigang Zeng, Cheng Lian:
Generating probabilistic predictions using mean-variance estimation and echo state network. Neurocomputing 219: 536-547 (2017) - 2016
- [j3]Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang, Chun-Lung Philip Chen:
Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2683-2695 (2016) - [j2]Cheng Lian, C. L. Philip Chen, Zhigang Zeng, Wei Yao, Huiming Tang:
Prediction Intervals for Landslide Displacement Based on Switched Neural Networks. IEEE Trans. Reliab. 65(3): 1483-1495 (2016) - 2014
- [j1]Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang:
Ensemble of extreme learning machine for landslide displacement prediction based on time series analysis. Neural Comput. Appl. 24(1): 99-107 (2014) - [c4]Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang, Tingwen Huang:
Multi-step Predictions of Landslide Displacements Based on Echo State Network. ICONIP (1) 2014: 382-388 - [c3]Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang:
Performance of combined artificial neural networks for forecasting landslide displacement. IJCNN 2014: 418-423 - [c2]Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang:
A Kernel ELM Classifier for High-Resolution Remotely Sensed Imagery Based on Multiple Features. ISNN 2014: 270-277 - 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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