Cheng Lian

42 papers B 1C 1Journal 38Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decoupled self-supervised deep multi-task learning framework for subscriber portrait in smart meter.
Pattern Recognit.
Honggang Yang, Cheng Lian, BingRong Xu, Yilin Chen, Pengbo Zhao, Zhigang Zeng
2026 J jnl
PowerDiffuser: Collaborative Contrastive-Reconstruction Self-Supervised Learning for Robust Power Load Signal Representation.
IEEE Trans. Ind. Informatics
Honggang Yang, Cheng Lian, BingRong Xu, Ruijin Ding, Zhigang Zeng
2025 J jnl
Bimodal Masked Autoencoders with internal representation connections for electrocardiogram classification.
Pattern Recognit.
Yufeng Wei, Cheng Lian, BingRong Xu, Pengbo Zhao, Honggang Yang, Zhigang Zeng
2025 J jnl
Generative Mixup Networks for Zero-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst.
BingRong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding
2025 J jnl
Large Language Model-assisted multi-scale hierarchical classification of ECG signals.
Knowl. Based Syst.
Qianjiang Chen, Cheng Lian, BingRong Xu, Quan Zhou, Yixin Su, Zhigang Zeng
2025 J jnl
Multiscale Global Prompt Transformer for EEG-Based Driver Fatigue Recognition.
IEEE Trans Autom. Sci. Eng.
Pengbo Zhao, Cheng Lian, BingRong Xu, Zhigang Zeng
2025 J jnl
Self-Supervised Latent Feature-Guided Multi-Step Diffusion Model for Electricity Theft Detection With Imbalanced and Missing Data.
IEEE Trans. Smart Grid
Honggang Yang, Cheng Lian, BingRong Xu, Ruijin Ding, Pengbo Zhao, Zhigang Zeng
2024 J jnl
12-Lead ECG signal classification for detecting ECG arrhythmia via an information bottleneck-based multi-scale network.
Inf. Sci.
Siyuan Zhang, Cheng Lian, BingRong Xu, Yixin Su, Adi Alhudhaif
2024 J jnl
A MIL-based framework via contrastive instance learning and multimodal learning for long-term ECG classification.
Appl. Soft Comput.
Haozhan Han, Cheng Lian, BingRong Xu, Zhigang Zeng, Adi Alhudhaif, Kemal Polat
2024 J jnl
A Parallel Nonlinear Factor Recovery Method for VIO Based on a Factor Graph.
IEEE Trans. Instrum. Meas.
Yuqing Wang, Danhong Zhang, Yixin Su, Cheng Lian, Kunxiang Deng
2024 J jnl
Cardiac signals classification via optional multimodal multiscale receptive fields CNN-enhanced Transformer.
Knowl. Based Syst.
Tian Zhang, Cheng Lian, BingRong Xu, Yixin Su, Zhigang Zeng
2024 J jnl
Low-Rank Optimal Transport for Robust Domain Adaptation.
IEEE CAA J. Autom. Sinica
BingRong Xu, Jianhua Yin, Cheng Lian, Yixin Su, Zhigang Zeng
2024 J jnl
Masked self-supervised ECG representation learning via multiview information bottleneck.
Neural Comput. Appl.
Shunxiang Yang, Cheng Lian, Zhigang Zeng, BingRong Xu, Yixin Su, Chenyang Xue
2024 J jnl
Multi-view class incremental learning.
Inf. Fusion
Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng
2023 J jnl
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification.
IEEE Trans. Emerg. Top. Comput. Intell.
Shunxiang Yang, Cheng Lian, Zhigang Zeng, BingRong Xu, Junbin Zang, Zhidong Zhang
2023 J jnl
A token selection-based multi-scale dual-branch CNN-transformer network for 12-lead ECG signal classification.
Knowl. Based Syst.
Siyuan Zhang, Cheng Lian, BingRong Xu, Junbin Zang, Zhigang Zeng
2023 J jnl
AmtNet: Attentional multi-scale temporal network for phonocardiogram signal classification.
Biomed. Signal Process. Control.
Junbin Zang, Cheng Lian, BingRong Xu, Zhidong Zhang, Yixin Su, Chenyang Xue
2023 J jnl
An Aggregated Convolutional Transformer Based on Slices and Channels for Multivariate Time Series Classification.
IEEE Trans. Emerg. Top. Comput. Intell.
Yupeng Wu, Cheng Lian, Zhigang Zeng, BingRong Xu, Yixin Su
2023 J jnl
Classification of Phonocardiogram Based on Multi-View Deep Network.
Neural Process. Lett.
Guangyang Tian, Cheng Lian, BingRong Xu, Junbin Zang, Zhidong Zhang, Chenyang Xue
2023 J jnl
Cross-modal multiscale multi-instance learning for long-term ECG classification.
Inf. Sci.
Long Cheng, Cheng Lian, Zhigang Zeng, BingRong Xu, Yixin Su
2023 J jnl
Multi-View Class Incremental Learning.
CoRR
Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng
2023 J jnl
Multimodal multi-instance learning for long-term ECG classification.
Knowl. Based Syst.
Haozhan Han, Cheng Lian, Zhigang Zeng, BingRong Xu, Junbin Zang, Chenyang Xue
2022 J jnl
A CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image Classification.
Remote. Sens.
Wei Yao, Cheng Lian, Lorenzo Bruzzone
2022 J jnl
Few-Shot Domain Adaptation via Mixup Optimal Transport.
IEEE Trans. Image Process.
BingRong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding
2022 J jnl
Imbalanced Heart Sound Signal Classification Based on Two-Stage Trained DsaNet.
Cogn. Comput.
Guangyang Tian, Cheng Lian, Zhigang Zeng, BingRong Xu, Yixin Su, Junbin Zang, Zhidong Zhang, Chenyang Xue
2021 J jnl
ClusterCNN: Clustering-Based Feature Learning for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Wei Yao, Cheng Lian, Lorenzo Bruzzone
2021 J jnl
Improve Semi-supervised Learning with Metric Learning Clusters and Auxiliary Fake Samples.
Neural Process. Lett.
Wei Zhou, Cheng Lian, Zhigang Zeng, BingRong Xu, Yixin Su
2021 J jnl
Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning.
IEEE Trans. Image Process.
BingRong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding
2020 J jnl
A Broad Learning System with Ensemble and Classification Methods for Multi-step-ahead Wind Speed Prediction.
Cogn. Comput.
Lingzi Zhu, Cheng Lian, Zhigang Zeng, Yixin Su
2020 J jnl
Landslide displacement interval prediction using lower upper bound estimation method with pre-trained random vector functional link network initialization.
Neural Networks
Cheng Lian, Zhigang Zeng, Xiaoping Wang, Wei Yao, Yixin Su, Huiming Tang
2020 J jnl
Multidomain Features Fusion for Zero-Shot Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhihao Liu, Zhigang Zeng, Cheng Lian
2020 J jnl
Mutual Improvement Between Temporal Ensembling and Virtual Adversarial Training.
Neural Process. Lett.
Wei Zhou, Cheng Lian, Zhigang Zeng, Yixin Su
2018 J jnl
Constructing prediction intervals for landslide displacement using bootstrapping random vector functional link networks selective ensemble with neural networks switched.
Neurocomputing
Cheng Lian, Lingzi Zhu, Zhigang Zeng, Yixin Su, Wei Yao, Huiming Tang
2018 J jnl
Pixel-wise regression using U-Net and its application on pansharpening.
Neurocomputing
Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang
2017 J jnl
Generating probabilistic predictions using mean-variance estimation and echo state network.
Neurocomputing
Wei Yao, Zhigang Zeng, Cheng Lian
2016 J jnl
Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights.
IEEE Trans. Neural Networks Learn. Syst.
Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang, Chun-Lung Philip Chen
2016 J jnl
Prediction Intervals for Landslide Displacement Based on Switched Neural Networks.
IEEE Trans. Reliab.
Cheng Lian, C. L. Philip Chen, Zhigang Zeng, Wei Yao, Huiming Tang
2014 C conf
A Kernel ELM Classifier for High-Resolution Remotely Sensed Imagery Based on Multiple Features.
ISNN
Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang
2014 J jnl
Ensemble of extreme learning machine for landslide displacement prediction based on time series analysis.
Neural Comput. Appl.
Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang
2014 — conf
Multi-step Predictions of Landslide Displacements Based on Echo State Network.
ICONIP (1)
Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang, Tingwen Huang
2014 B conf
Performance of combined artificial neural networks for forecasting landslide displacement.
IJCNN
Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang
2012 — conf
Displacement Prediction Model of Landslide Based on Ensemble of Extreme Learning Machine.
ICONIP (4)
Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang