Cheng Wu

According to our database, Cheng Wu authored at least 71 papers between 1999 and 2024.

Collaborative distances:

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

2024

Joint representation learning for text and 3D point cloud.

Rui Huang, Xuran Pan, Henry Zheng, Haojun Jiang, Zhifeng Xie, Cheng Wu, Shiji Song, Gao Huang

Pattern Recognit., March, 2024

A unified framework for convolution-based graph neural networks.

Xuran Pan, Xiaoyan Han, Chaofei Wang, Zhuo Li, Shiji Song, Gao Huang, Cheng Wu

Pattern Recognit., 2024

Online industrial fault prognosis in dynamic environments via task-free continual learning.

Chongdang Liu, Linxuan Zhang, Yimeng Zheng, Zhengyi Jiang, Jinghao Zheng, Cheng Wu

Neurocomputing, 2024

2023

The Hot Strip Mill Scheduling Problem With Uncertainty: Robust Optimization Models and Solution Approaches.

Rui Zhang, Shiji Song, Cheng Wu

IEEE Trans. Cybern., 2023

2022

Regularizing Deep Networks With Semantic Data Augmentation.

Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, Cheng Wu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Self-Supervised Discovering of Interpretable Features for Reinforcement Learning.

Wenjie Shi, Gao Huang, Shiji Song, Zhuoyuan Wang, Tingyu Lin, Cheng Wu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning.

Wenjie Shi, Gao Huang, Shiji Song, Cheng Wu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Dual Attention-Based Temporal Convolutional Network for Fault Prognosis Under Time-Varying Operating Conditions.

Chongdang Liu, Linxuan Zhang, Rong Yao, Cheng Wu

IEEE Trans. Instrum. Meas., 2021

Large scale air pollution prediction with deep convolutional networks.

Gao Huang, Chunjiang Ge, Tianyu Xiong, Shiji Song, Le Yang, Baoxian Liu, Wenjun Yin, Cheng Wu

Sci. China Inf. Sci., 2021

2020

A Graph Embedding Framework for Maximum Mean Discrepancy-Based Domain Adaptation Algorithms.

Yiming Chen, Shiji Song, Shuang Li, Cheng Wu

IEEE Trans. Image Process., 2020

Robust Scheduling of Hot Rolling Production by Local Search Enhanced Ant Colony Optimization Algorithm.

Rui Zhang, Shiji Song, Cheng Wu

IEEE Trans. Ind. Informatics, 2020

Collaborative learning with corrupted labels.

Yulin Wang, Rui Huang, Gao Huang, Shiji Song, Cheng Wu

Neural Networks, 2020

Intelligent prognostics of machining tools based on adaptive variational mode decomposition and deep learning method with attention mechanism.

Chongdang Liu, Linxuan Zhang, Jiahe Niu, Rong Yao, Cheng Wu

Neurocomputing, 2020

A physical knowledge-based extreme learning machine approach to fault diagnosis of rolling element bearing from small datasets.

Tianyu Liu, Li Kou, Le Yang, Wenhui Fan, Cheng Wu

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

2019

Depth Control of Model-Free AUVs via Reinforcement Learning.

Hui Wu, Shiji Song, Keyou You, Cheng Wu

IEEE Trans. Syst. Man Cybern. Syst., 2019

Cross-Domain Extreme Learning Machines for Domain Adaptation.

Shuang Li, Shiji Song, Gao Huang, Cheng Wu

IEEE Trans. Syst. Man Cybern. Syst., 2019

SeCo-LDA: Mining Service Co-Occurrence Topics for Composition Recommendation.

Zhenfeng Gao, Yushun Fan, Cheng Wu, Wei Tan, Jia Zhang, Yayu Ni, Bing Bai, Shuhui Chen

IEEE Trans. Serv. Comput., 2019

Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability.

Le Yang, Shiji Song, Yanshang Gong, Gao Huang, Cheng Wu

IEEE Trans. Neural Networks Learn. Syst., 2019

Multi Pseudo Q-Learning-Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles.

Wenjie Shi, Shiji Song, Cheng Wu, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., 2019

Domain Space Transfer Extreme Learning Machine for Domain Adaptation.

Yiming Chen, Shiji Song, Shuang Li, Le Yang, Cheng Wu

IEEE Trans. Cybern., 2019

Discovery and Analysis About the Evolutionof Service Composition Patterns.

Zhenfeng Gao, Yushun Fan, Xiu Li, Liang Gu, Cheng Wu, Jia Zhang

J. Web Eng., 2019

Multiple Sensors Based Prognostics With Prediction Interval Optimization via Echo State Gaussian Process.

Chongdang Liu, Linxuan Zhang, Yuan Liao, Cheng Wu, Gongzhuang Peng

IEEE Access, 2019

Direct Remaining Useful Life Prediction for Rolling Bearing Using Temporal Convolutional Networks.

Chongdang Liu, Linxuan Zhang, Cheng Wu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Prognostics for Rotating Machinery Using Variational Mode Decomposition and Long Short-Term Memory Network.

Chongdang Liu, Linxuan Zhang, Jiahe Niu, Rong Yao, Cheng Wu

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Implicit Semantic Data Augmentation for Deep Networks.

Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Gao Huang, Cheng Wu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning.

Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

End-to-end sensorimotor control problems of AUVs with deep reinforcement learning.

Hui Wu, Shiji Song, Yachu Hsu, Keyou You, Cheng Wu

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation.

Shuang Li, Shiji Song, Gao Huang, Zhengming Ding, Cheng Wu

IEEE Trans. Image Process., 2018

Likelihood Ratio-Based Scheduler for Secure Detection in Cyber Physical Systems.

Jianya Ding, Keyou You, Shiji Song, Cheng Wu

IEEE Trans. Control. Netw. Syst., 2018

Distributed Convex Optimization with Inequality Constraints over Time-Varying Unbalanced Digraphs.

Pei Xie, Keyou You, Roberto Tempo, Shiji Song, Cheng Wu

IEEE Trans. Autom. Control., 2018

Layer-wise domain correction for unsupervised domain adaptation.

Shuang Li, Shiji Song, Cheng Wu

Frontiers Inf. Technol. Electron. Eng., 2018

DSES: A Blockchain-Powered Decentralized Service Eco-System.

Zhenfeng Gao, Yushun Fan, Cheng Wu, Jia Zhang, Chang Chen

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017

A multi-objective artificial bee colony algorithm for parallel batch-processing machine scheduling in fabric dyeing processes.

Rui Zhang, Pei-Chann Chang, Shiji Song, Cheng Wu

Knowl. Based Syst., 2017

Local search enhanced multi-objective PSO algorithm for scheduling textile production processes with environmental considerations.

Rui Zhang, Pei-Chann Chang, Shiji Song, Cheng Wu

Appl. Soft Comput., 2017

Service Recommendation from the Evolution of Composition Patterns.

Zhenfeng Gao, Yushun Fan, Cheng Wu, Wei Tan, Jia Zhang

Proceedings of the 2017 IEEE International Conference on Services Computing, 2017

2016

Parallel Machine Scheduling Under Time-of-Use Electricity Prices: New Models and Optimization Approaches.

Jianya Ding, Shiji Song, Rui Zhang, Raymond Chiong, Cheng Wu

IEEE Trans Autom. Sci. Eng., 2016

SeCo-LDA: Mining Service Co-occurrence Topics for Recommendation.

Zhenfeng Gao, Yushun Fan, Cheng Wu, Wei Tan, Jia Zhang, Yayu Ni, Bing Bai, Shuhui Chen

Proceedings of the IEEE International Conference on Web Services, 2016

2015

Category-Aware API Clustering and Distributed Recommendation for Automatic Mashup Creation.

Bofei Xia, Yushun Fan, Wei Tan, Keman Huang, Jia Zhang, Cheng Wu

IEEE Trans. Serv. Comput., 2015

Discriminative clustering via extreme learning machine.

Gao Huang, Tianchi Liu, Yan Yang, Zhiping Lin, Shiji Song, Cheng Wu

Neural Networks, 2015

Efficient Lasso training from a geometrical perspective.

Quan Zhou, Shiji Song, Gao Huang, Cheng Wu

Neurocomputing, 2015

Variable exponential neighborhood search for the long chain design problem.

Yuli Zhang, Shiji Song, Cheng Wu, Wenjun Yin

Neurocomputing, 2015

An improved iterated greedy algorithm with a Tabu-based reconstruction strategy for the no-wait flowshop scheduling problem.

Jianya Ding, Shiji Song, Jatinder N. D. Gupta, Rui Zhang, Raymond Chiong, Cheng Wu

Appl. Soft Comput., 2015

A novel Block-shifting simulated annealing algorithm for the no-wait flowshop scheduling problem.

Jianya Ding, Shiji Song, Rui Zhang, Siwei Zhou, Cheng Wu

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Semi-Supervised and Unsupervised Extreme Learning Machines.

Gao Huang, Shiji Song, Jatinder N. D. Gupta, Cheng Wu

IEEE Trans. Cybern., 2014

Domain-Aware Service Recommendation for Service Composition.

Bofei Xia, Yushun Fan, Cheng Wu, Keman Huang, Wei Tan, Jia Zhang, Bing Bai

Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Minimizing makespan for a no-wait flowshop using tabu mechanism improved iterated greedy algorithm.

Jianya Ding, Shiji Song, Rui Zhang, Cheng Wu

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

A second order cone programming approach for semi-supervised learning.

Gao Huang, Shiji Song, Jatinder N. D. Gupta, Cheng Wu

Pattern Recognit., 2013

Kernelized LARS-LASSO for constructing radial basis function neural networks.

Quan Zhou, Shiji Song, Cheng Wu, Gao Huang

Neural Comput. Appl., 2013

A simulation-based differential evolution algorithm for stochastic parallel machine scheduling with operational considerations.

Rui Zhang, Shiji Song, Cheng Wu

Int. Trans. Oper. Res., 2013

A hybrid differential evolution algorithm for job shop scheduling problems with expected total tardiness criterion.

Rui Zhang, Shiji Song, Cheng Wu

Appl. Soft Comput., 2013

2012

Robust Support Vector Regression for Uncertain Input and Output Data.

Gao Huang, Shiji Song, Cheng Wu, Keyou You

IEEE Trans. Neural Networks Learn. Syst., 2012

Orthogonal Least Squares Algorithm for Training Cascade Neural Networks.

Gao Huang, Shiji Song, Cheng Wu

IEEE Trans. Circuits Syst. I Regul. Pap., 2012

A hybrid genetic algorithm for two-stage multi-item inventory system with stochastic demand.

Yuli Zhang, Shiji Song, Heming Zhang, Cheng Wu, Wenjun Yin

Neural Comput. Appl., 2012

A two-stage hybrid particle swarm optimization algorithm for the stochastic job shop scheduling problem.

Rui Zhang, Shiji Song, Cheng Wu

Knowl. Based Syst., 2012

A PMBGA to Optimize the Selection of Rules for Job Shop Scheduling Based on the Giffler-Thompson Algorithm.

Rui Zhang, Cheng Wu

J. Appl. Math., 2012

Bottleneck machine identification method based on constraint transformation for job shop scheduling with genetic algorithm.

Rui Zhang, Cheng Wu

Inf. Sci., 2012

A hybrid local search algorithm for scheduling real-world job shops with batch-wise pending due dates.

Rui Zhang, Cheng Wu

Eng. Appl. Artif. Intell., 2012

A three-phase algorithm for flowshop scheduling with blocking to minimize makespan.

Cheng Wang, Shiji Song, Jatinder N. D. Gupta, Cheng Wu

Comput. Oper. Res., 2012

2011

An Artificial Bee Colony Algorithm for the Job Shop Scheduling Problem with Random Processing Times.

Rui Zhang, Cheng Wu

Entropy, 2011

A simulated annealing algorithm based on block properties for the job shop scheduling problem with total weighted tardinessobjective.

Rui Zhang, Cheng Wu

Comput. Oper. Res., 2011

2010

Single machine scheduling with sequence-dependent family setups to minimize maximum lateness.

Feng Jin, Jatinder N. D. Gupta, Shiji Song, Cheng Wu

J. Oper. Res. Soc., 2010

A hybrid immune simulated annealing algorithm for the job shop scheduling problem.

Rui Zhang, Cheng Wu

Appl. Soft Comput., 2010

A hybrid approach to large-scale job shop scheduling.

Rui Zhang, Cheng Wu

Appl. Intell., 2010

Stochastic Optimization of Two-stage Multi-item Inventory System with Hybrid Genetic Algorithm.

Yuli Zhang, Shiji Song, Cheng Wu, Wenjun Yin

Proceedings of the Life System Modeling and Intelligent Computing, 2010

Multi-echelon multi-item dynamic inventory management via decomposition and coordination algorithm.

Yuli Zhang, Shiji Song, Cheng Wu, Wenjun Yin

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

2008

Makespan distribution of permutation flowshop schedules.

Feng Jin, Jatinder N. D. Gupta, Shiji Song, Cheng Wu

J. Sched., 2008

An Immune Genetic Algorithm Based on Bottleneck Jobs for the Job Shop Scheduling Problem.

Rui Zhang, Cheng Wu

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2008

Decomposition and immune genetic algorithm for scheduling large job shops.

Rui Zhang, Cheng Wu

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2004

Concurrent Design Approach and its Collaborative Environment for Integrated Complex Product Development.

Heming Zhang, Wenhui Fan, Cheng Wu

Trans. SDPS, 2004

2003

Learning single-machine scheduling heuristics subject to machine breakdowns with genetic programming.

Wenjun Yin, Min Liu, Cheng Wu

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

1999

Enterprise wide application integration platform for CIMS implementation.

Yushun Fan, Wei Shi, Cheng Wu

J. Intell. Manuf., 1999