Cheng Lian

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 33

Top Topics

Hyperspectral Image Classification

Top Venues

Knowl. Based Syst.

IEEE Trans. Emerg. Top. Comput. Intell.

Neural Process. Lett.

Publications

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 (2024)
Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng
Multi-view class incremental learning. Inf. Fusion 102 (2024)
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) (2024)
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) (2024)
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 (2024)
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 (2023)
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 (2023)
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 (2023)
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) (2023)
Long Cheng, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su
Cross-modal multiscale multi-instance learning for long-term ECG classification. Inf. Sci. 643 (2023)
Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng
Multi-View Class Incremental Learning. CoRR (2023)
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) (2023)
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) (2023)
Zhangyang Chen, Xingqing Xiao, Li Yang, Cheng Lian, Shouhong Xu, Honglai Liu
Prion-like Aggregation of the Heptapeptide GNNQQNY into Amyloid Nanofiber Is Governed by Configuration Entropy. J. Chem. Inf. Model. 63 (20) (2023)
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) (2022)
Shu Sun, Xiaoping Wang, Junnan Li, Cheng Lian
Landslide evolution state prediction and down-level control based on multi-task learning. Knowl. Based Syst. 238 (2022)
Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding
Few-Shot Domain Adaptation via Mixup Optimal Transport. IEEE Trans. Image Process. 31 (2022)
Wei Yao, Cheng Lian, Lorenzo Bruzzone
A CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image Classification. Remote. Sens. 14 (19) (2022)
Dan Shi, Zhen Zhang, Fengshuo Wei, Cheng Lian
Terrain Simplification Algorithm in Radio Wave Propagation Prediction. IEEE Access 10 (2022)
Wei Yao, Cheng Lian, Lorenzo Bruzzone
ClusterCNN: Clustering-Based Feature Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18 (11) (2021)
Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding
Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning. IEEE Trans. Image Process. 30 (2021)
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) (2021)
Wei Zhou, Cheng Lian, Zhigang Zeng, Yixin Su
Mutual Improvement Between Temporal Ensembling and Virtual Adversarial Training. Neural Process. Lett. 51 (2) (2020)
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) (2020)
Zhihao Liu, Zhigang Zeng, Cheng Lian
Multidomain Features Fusion for Zero-Shot Learning. IEEE Trans. Emerg. Top. Comput. Intell. 4 (6) (2020)
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 (2020)
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 (2020)
Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang
Pixel-wise regression using U-Net and its application on pansharpening. Neurocomputing 312 (2018)
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 (2018)
Wei Yao, Zhigang Zeng, Cheng Lian
Generating probabilistic predictions using mean-variance estimation and echo state network. Neurocomputing 219 (2017)
Ruochen Liu, Cheng Lian, Langlang Zhang, Xiao Wang
A modified MOEA/D by introducing an invasive weed optimization operator. ICNC-FSKD (2017)
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) (2016)
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) (2016)
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) (2015)
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
Spark SQL: Relational Data Processing in Spark. SIGMOD Conference (2015)
Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang
Performance of combined artificial neural networks for forecasting landslide displacement. IJCNN (2014)
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) (2014)
Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang
A Kernel ELM Classifier for High-Resolution Remotely Sensed Imagery Based on Multiple Features. ISNN (2014)
Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang, Tingwen Huang
Multi-step Predictions of Landslide Displacements Based on Echo State Network. ICONIP (1) (2014)
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)
Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang
Displacement Prediction Model of Landslide Based on Ensemble of Extreme Learning Machine. ICONIP (4) (2012)