Cheng Lian

According to our database, Cheng Lian authored at least 38 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Masked self-supervised ECG representation learning via multiview information bottleneck.

Shunxiang Yang, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su, Chenyang Xue

Neural Comput. Appl., May, 2024

Multi-view class incremental learning.

Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng

Inf. Fusion, February, 2024

2023

A token selection-based multi-scale dual-branch CNN-transformer network for 12-lead ECG signal classification.

Siyuan Zhang, Cheng Lian, Bingrong Xu, Junbin Zang, Zhigang Zeng

Knowl. Based Syst., November, 2023

Prion-like Aggregation of the Heptapeptide GNNQQNY into Amyloid Nanofiber Is Governed by Configuration Entropy.

Zhangyang Chen, Xingqing Xiao, Li Yang, Cheng Lian, Shouhong Xu, Honglai Liu

J. Chem. Inf. Model., October, 2023

AmtNet: Attentional multi-scale temporal network for phonocardiogram signal classification.

Junbin Zang, Cheng Lian, Bingrong Xu, Zhidong Zhang, Yixin Su, Chenyang Xue

Biomed. Signal Process. Control., August, 2023

A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification.

Shunxiang Yang, Cheng Lian, Zhigang Zeng, Bingrong Xu, Junbin Zang, Zhidong Zhang

IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

An Aggregated Convolutional Transformer Based on Slices and Channels for Multivariate Time Series Classification.

Yupeng Wu, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su

IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Classification of Phonocardiogram Based on Multi-View Deep Network.

Guangyang Tian, Cheng Lian, Bingrong Xu, Junbin Zang, Zhidong Zhang, Chenyang Xue

Neural Process. Lett., 2023

Multimodal multi-instance learning for long-term ECG classification.

Haozhan Han, Cheng Lian, Zhigang Zeng, Bingrong Xu, Junbin Zang, Chenyang Xue

Knowl. Based Syst., 2023

Cross-modal multiscale multi-instance learning for long-term ECG classification.

Long Cheng, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su

Inf. Sci., 2023

2022

Few-Shot Domain Adaptation via Mixup Optimal Transport.

Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding

IEEE Trans. Image Process., 2022

A CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image Classification.

Wei Yao, Cheng Lian, Lorenzo Bruzzone

Remote. Sens., 2022

Landslide evolution state prediction and down-level control based on multi-task learning.

Shu Sun, Xiaoping Wang, Junnan Li, Cheng Lian

Knowl. Based Syst., 2022

Imbalanced Heart Sound Signal Classification Based on Two-Stage Trained DsaNet.

Guangyang Tian, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su, Junbin Zang, Zhidong Zhang, Chenyang Xue

Cogn. Comput., 2022

Terrain Simplification Algorithm in Radio Wave Propagation Prediction.

Dan Shi, Zhen Zhang, Fengshuo Wei, Cheng Lian

IEEE Access, 2022

2021

Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning.

Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding

IEEE Trans. Image Process., 2021

Improve Semi-supervised Learning with Metric Learning Clusters and Auxiliary Fake Samples.

Wei Zhou, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su

Neural Process. Lett., 2021

ClusterCNN: Clustering-Based Feature Learning for Hyperspectral Image Classification.

Wei Yao, Cheng Lian, Lorenzo Bruzzone

IEEE Geosci. Remote. Sens. Lett., 2021

2020

Multidomain Features Fusion for Zero-Shot Learning.

Zhihao Liu, Zhigang Zeng, Cheng Lian

IEEE Trans. Emerg. Top. Comput. Intell., 2020

Mutual Improvement Between Temporal Ensembling and Virtual Adversarial Training.

Wei Zhou, Cheng Lian, Zhigang Zeng, Yixin Su

Neural Process. Lett., 2020

Landslide displacement interval prediction using lower upper bound estimation method with pre-trained random vector functional link network initialization.

Cheng Lian, Zhigang Zeng, Xiaoping Wang, Wei Yao, Yixin Su, Huiming Tang

Neural Networks, 2020

A region division based decomposition approach for evolutionary many-objective optimization.

Ruochen Liu, Jin Liu, Runan Zhou, Cheng Lian, Renyu Bian

Knowl. Based Syst., 2020

A Broad Learning System with Ensemble and Classification Methods for Multi-step-ahead Wind Speed Prediction.

Lingzi Zhu, Cheng Lian, Zhigang Zeng, Yixin Su

Cogn. Comput., 2020

2019

Spark SQL.

Xiao Li, Cheng Lian, Shu Mo

Proceedings of the Encyclopedia of Big Data Technologies., 2019

2018

Pixel-wise regression using U-Net and its application on pansharpening.

Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang

Neurocomputing, 2018

Constructing prediction intervals for landslide displacement using bootstrapping random vector functional link networks selective ensemble with neural networks switched.

Cheng Lian, Lingzi Zhu, Zhigang Zeng, Yixin Su, Wei Yao, Huiming Tang

Neurocomputing, 2018

2017

Generating probabilistic predictions using mean-variance estimation and echo state network.

Wei Yao, Zhigang Zeng, Cheng Lian

Neurocomputing, 2017

A modified MOEA/D by introducing an invasive weed optimization operator.

Ruochen Liu, Cheng Lian, Langlang Zhang, Xiao Wang

Proceedings of the 13th International Conference on Natural Computation, 2017

2016

Prediction Intervals for Landslide Displacement Based on Switched Neural Networks.

Cheng Lian, C. L. Philip Chen, Zhigang Zeng, Wei Yao, Huiming Tang

IEEE Trans. Reliab., 2016

Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights.

Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang, Chun Lung Philip Chen

IEEE Trans. Neural Networks Learn. Syst., 2016

2015

Using Memory in the Right Way to Accelerate Big Data Processing.

Dong Yan, Xusen Yin, Cheng Lian, Xiang Zhong, Xin Zhou, Gansha Wu

J. Comput. Sci. Technol., 2015

Spark SQL: Relational Data Processing in Spark.

Michael Armbrust, Reynold S. Xin, Cheng Lian, Yin Huai, Davies Liu, Joseph K. Bradley, Xiangrui Meng, Tomer Kaftan, Michael J. Franklin, Ali Ghodsi, Matei Zaharia

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014

Ensemble of extreme learning machine for landslide displacement prediction based on time series analysis.

Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang

Neural Comput. Appl., 2014

A Kernel ELM Classifier for High-Resolution Remotely Sensed Imagery Based on Multiple Features.

Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang

Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Performance of combined artificial neural networks for forecasting landslide displacement.

Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-step Predictions of Landslide Displacements Based on Echo State Network.

Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang, Tingwen Huang

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013

NativeTask: A Hadoop compatible framework for high performance.

Dong Yang, Xiang Zhong, Dong Yan, Fangqin Dai, Xusen Yin, Cheng Lian, Zhongliang Zhu, Weihua Jiang, Gansha Wu

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Displacement Prediction Model of Landslide Based on Ensemble of Extreme Learning Machine.

Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang

Proceedings of the Neural Information Processing - 19th International Conference, 2012