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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j34]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)- [j33]Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng:
Multi-view class incremental learning. Inf. Fusion 102: 102021 (2024) - [j32]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) - [j31]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) - [j30]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) - [j29]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
- [j28]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) - [j27]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) - [j26]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): 6423-6435 (2023) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [j21]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
- [j20]Dan Shi, Zhen Zhang, Fengshuo Wei, Cheng Lian:
Terrain Simplification Algorithm in Radio Wave Propagation Prediction. IEEE Access 10: 3294-3306 (2022) - [j19]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) - [j18]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: 107884 (2022) - [j17]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) - [j16]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
- [j15]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) - [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, 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
- [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, 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) - [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, Cheng Lian:
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, 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) - [j6]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
- [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, 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) - [j3]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) - 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, 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: 1383-1394 - 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) - [c5]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 - [c4]Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang:
Performance of combined artificial neural networks for forecasting landslide displacement. IJCNN 2014: 418-423 - [c3]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 - 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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