Displacement Prediction Model of Landslide Based on Ensemble of Extreme Learning Machine. - Cheng Lian; Zhigang Zeng; Wei Yao 013; Huiming Tang (ICONIP (4), 2012)

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 (IEEE BigData, 2013)

Multi-step Predictions of Landslide Displacements Based on Echo State Network. - Wei Yao 013; Zhigang Zeng; Cheng Lian; Huiming Tang; Tingwen Huang (ICONIP (1), 2014)

Performance of combined artificial neural networks for forecasting landslide displacement. - Cheng Lian; Zhigang Zeng; Wei Yao 013; Huiming Tang (IJCNN, 2014)

A Kernel ELM Classifier for High-Resolution Remotely Sensed Imagery Based on Multiple Features. - Wei Yao 013; Zhigang Zeng; Cheng Lian; Huiming Tang (ISNN, 2014)

Ensemble of extreme learning machine for landslide displacement prediction based on time series analysis. - Cheng Lian; Zhigang Zeng; Wei Yao 013; Huiming Tang (Neural Comput. Appl., 2014)

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 002; Matei Zaharia (SIGMOD Conference, 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)

Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights. - Cheng Lian; Zhigang Zeng; Wei Yao 013; Huiming Tang; Chun-Lung Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2016)

Prediction Intervals for Landslide Displacement Based on Switched Neural Networks. - Cheng Lian; C. L. Philip Chen; Zhigang Zeng; Wei Yao 013; Huiming Tang (IEEE Trans. Reliab., 2016)

A modified MOEA/D by introducing an invasive weed optimization operator. - Ruochen Liu; Cheng Lian; Langlang Zhang; Xiao Wang (ICNC-FSKD, 2017)

Generating probabilistic predictions using mean-variance estimation and echo state network. - Wei Yao 013; Zhigang Zeng; Cheng Lian (Neurocomputing, 2017)

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 002; Wei Yao 013; Huiming Tang (Neurocomputing, 2018)

Pixel-wise regression using U-Net and its application on pansharpening. - Wei Yao 013; Zhigang Zeng; Cheng Lian; Huiming Tang (Neurocomputing, 2018)

Spark SQL. - Xiao Li; Cheng Lian; Shu Mo (Encyclopedia of Big Data Technologies, 2019)

A Broad Learning System with Ensemble and Classification Methods for Multi-step-ahead Wind Speed Prediction. - Lingzi Zhu; Cheng Lian; Zhigang Zeng; Yixin Su 002 (Cogn. Comput., 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)

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 001; Wei Yao 013; Yixin Su 002; Huiming Tang (Neural Networks, 2020)

Mutual Improvement Between Temporal Ensembling and Virtual Adversarial Training. - Wei Zhou; Cheng Lian; Zhigang Zeng; Yixin Su 002 (Neural Process. Lett., 2020)

Multidomain Features Fusion for Zero-Shot Learning. - Zhihao Liu; Zhigang Zeng; Cheng Lian (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

ClusterCNN: Clustering-Based Feature Learning for Hyperspectral Image Classification. - Wei Yao 013; Cheng Lian; Lorenzo Bruzzone (IEEE Geosci. Remote. Sens. Lett., 2021)

Improve Semi-supervised Learning with Metric Learning Clusters and Auxiliary Fake Samples. - Wei Zhou; Cheng Lian; Zhigang Zeng; Bingrong Xu; Yixin Su 002 (Neural Process. Lett., 2021)

Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning. - Bingrong Xu; Zhigang Zeng; Cheng Lian; Zhengming Ding (IEEE Trans. Image Process., 2021)

Terrain Simplification Algorithm in Radio Wave Propagation Prediction. - Dan Shi; Zhen Zhang; Fengshuo Wei; Cheng Lian (IEEE Access, 2022)

Imbalanced Heart Sound Signal Classification Based on Two-Stage Trained DsaNet. - Guangyang Tian; Cheng Lian; Zhigang Zeng; Bingrong Xu; Yixin Su 002; Junbin Zang; Zhidong Zhang; Chenyang Xue (Cogn. Comput., 2022)

Landslide evolution state prediction and down-level control based on multi-task learning. - Shu Sun; Xiaoping Wang 001; Junnan Li 006; Cheng Lian (Knowl. Based Syst., 2022)

A CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image Classification. - Wei Yao 013; Cheng Lian; Lorenzo Bruzzone (Remote. Sens., 2022)

Few-Shot Domain Adaptation via Mixup Optimal Transport. - Bingrong Xu; Zhigang Zeng; Cheng Lian; Zhengming Ding (IEEE Trans. Image Process., 2022)

Cross-modal multiscale multi-instance learning for long-term ECG classification. - Long Cheng 001; Cheng Lian; Zhigang Zeng; Bingrong Xu; Yixin Su 002 (Inf. Sci., 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)

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)

An Aggregated Convolutional Transformer Based on Slices and Channels for Multivariate Time Series Classification. - Yupeng Wu; Cheng Lian; Zhigang Zeng; Bingrong Xu; Yixin Su 002 (IEEE Trans. Emerg. Top. Comput. Intell., 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., 2023)

AmtNet: Attentional multi-scale temporal network for phonocardiogram signal classification. - Junbin Zang; Cheng Lian; Bingrong Xu; Zhidong Zhang; Yixin Su 002; Chenyang Xue (Biomed. Signal Process. Control., 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., 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., 2023)

A Fourier Transform Framework for Domain Adaptation. - Le Luo; Bingrong Xu; Qingyong Zhang; Cheng Lian; Jie Luo (PRCV (8), 2024)

A MIL-based framework via contrastive instance learning and multimodal learning for long-term ECG classification. - Haozhan Han; Cheng Lian; Bingrong Xu; Zhigang Zeng; Adi Alhudhaif; Kemal Polat (Appl. Soft Comput., 2024)

12-Lead ECG signal classification for detecting ECG arrhythmia via an information bottleneck-based multi-scale network. - Siyuan Zhang; Cheng Lian; Bingrong Xu; Yixin Su; Adi Alhudhaif (Inf. Sci., 2024)

Cardiac signals classification via optional multimodal multiscale receptive fields CNN-enhanced Transformer. - Tian Zhang; Cheng Lian; Bingrong Xu; Yixin Su 002; Zhigang Zeng (Knowl. Based Syst., 2024)

A Parallel Nonlinear Factor Recovery Method for VIO Based on a Factor Graph. - Yuqing Wang; Danhong Zhang; Yixin Su 002; Cheng Lian; Kunxiang Deng (IEEE Trans. Instrum. Meas., 2024)

Multi-view class incremental learning. - Depeng Li 001; Tianqi Wang; Junwei Chen; Kenji Kawaguchi; Cheng Lian; Zhigang Zeng (Inf. Fusion, 2024)

Masked self-supervised ECG representation learning via multiview information bottleneck. - Shunxiang Yang; Cheng Lian; Zhigang Zeng; Bingrong Xu; Yixin Su 002; Chenyang Xue (Neural Comput. Appl., 2024)

Low-Rank Optimal Transport for Robust Domain Adaptation. - Bingrong Xu; Jianhua Yin; Cheng Lian; Yixin Su 002; Zhigang Zeng (IEEE CAA J. Autom. Sinica, 2024)

Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond. - Ramesh Chandra; Haogang Chen 003; Ray Matharu; Sarah Cai; Jeff Chen; Priyam Dutta; Bogdan Ghita 004; Todd Greenstein; Gopal Holla; Peng Huang; Yuchen Huo; Adrian Ionescu; et al. (SIGMOD Conference Companion, 2025)

Large Language Model-assisted multi-scale hierarchical classification of ECG signals. - Qianjiang Chen; Cheng Lian; Bingrong Xu; Quan Zhou 011; Yixin Su 002; Zhigang Zeng (Knowl. Based Syst., 2025)

Bimodal Masked Autoencoders with internal representation connections for electrocardiogram classification. - Yufeng Wei; Cheng Lian; Bingrong Xu; Pengbo Zhao; Honggang Yang; Zhigang Zeng (Pattern Recognit., 2025)

Multiscale Global Prompt Transformer for EEG-Based Driver Fatigue Recognition. - Pengbo Zhao; Cheng Lian; Bingrong Xu; Zhigang Zeng (IEEE Trans Autom. Sci. Eng., 2025)

Generative Mixup Networks for Zero-Shot Learning. - Bingrong Xu; Zhigang Zeng; Cheng Lian; Zhengming Ding (IEEE Trans. Neural Networks Learn. Syst., 2025)

Self-Supervised Latent Feature-Guided Multi-Step Diffusion Model for Electricity Theft Detection With Imbalanced and Missing Data. - Honggang Yang; Cheng Lian; Bingrong Xu; Ruijin Ding; Pengbo Zhao; Zhigang Zeng (IEEE Trans. Smart Grid, 2025)