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ORCIDCheng Wu 0002
Person information
- affiliation: Tsinghua University, Beijing, China
Other persons with the same name
- Cheng Wu — disambiguation page
- Cheng Wu 0001
![[0000-0001-5451-3045]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5451-3045")
— Soochow University, Suzhou, Jiangsu, China - Cheng Wu 0003 — Microsoft Corporation, USA
- Cheng Wu 0004 — School of Software, Tsinghua University, Beijing, China
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2020 – today
- 2024
[j54]Chongdang Liu, Linxuan Zhang, Yimeng Zheng, Zhengyi Jiang, Jinghao Zheng, Cheng Wu:
Online industrial fault prognosis in dynamic environments via task-free continual learning. Neurocomputing 598: 127930 (2024)- [j53]Rui Huang, Xuran Pan, Henry Zheng, Haojun Jiang, Zhifeng Xie, Cheng Wu, Shiji Song, Gao Huang:
Joint representation learning for text and 3D point cloud. Pattern Recognit. 147: 110086 (2024) - [j52]Xuran Pan, Xiaoyan Han, Chaofei Wang, Zhuo Li, Shiji Song, Gao Huang, Cheng Wu:
A unified framework for convolution-based graph neural networks. Pattern Recognit. 155: 110597 (2024) - 2023
- [j51]Rui Zhang, Shiji Song, Cheng Wu:
The Hot Strip Mill Scheduling Problem With Uncertainty: Robust Optimization Models and Solution Approaches. IEEE Trans. Cybern. 53(7): 4079-4093 (2023) - 2022
- [j50]Wenjie Shi, Gao Huang, Shiji Song, Zhuoyuan Wang, Tingyu Lin, Cheng Wu:
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2712-2724 (2022) - [j49]Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, Cheng Wu:
Regularizing Deep Networks With Semantic Data Augmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3733-3748 (2022) - [j48]Wenjie Shi, Gao Huang, Shiji Song, Cheng Wu:
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10222-10235 (2022) - 2021
- [j47]Gao Huang, Chunjiang Ge, Tianyu Xiong, Shiji Song, Le Yang, Baoxian Liu, Wenjun Yin, Cheng Wu:
Large scale air pollution prediction with deep convolutional networks. Sci. China Inf. Sci. 64(9) (2021) - [j46]Chongdang Liu, Linxuan Zhang, Rong Yao, Cheng Wu:
Dual Attention-Based Temporal Convolutional Network for Fault Prognosis Under Time-Varying Operating Conditions. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [i7]Wenjie Shi, Gao Huang, Shiji Song, Cheng Wu:
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning. CoRR abs/2112.03020 (2021) - 2020
- [j45]Chongdang Liu, Linxuan Zhang, Jiahe Niu, Rong Yao, Cheng Wu:
Intelligent prognostics of machining tools based on adaptive variational mode decomposition and deep learning method with attention mechanism. Neurocomputing 417: 239-254 (2020) - [j44]Yulin Wang, Rui Huang, Gao Huang, Shiji Song, Cheng Wu:
Collaborative learning with corrupted labels. Neural Networks 125: 205-213 (2020) - [j43]Rui Zhang, Shiji Song, Cheng Wu:
Robust Scheduling of Hot Rolling Production by Local Search Enhanced Ant Colony Optimization Algorithm. IEEE Trans. Ind. Informatics 16(4): 2809-2819 (2020) - [j42]Yiming Chen, Shiji Song, Shuang Li, Cheng Wu:
A Graph Embedding Framework for Maximum Mean Discrepancy-Based Domain Adaptation Algorithms. IEEE Trans. Image Process. 29: 199-213 (2020) - [c17]Tianyu Liu, Li Kou, Le Yang, Wenhui Fan, Cheng Wu:
A physical knowledge-based extreme learning machine approach to fault diagnosis of rolling element bearing from small datasets. UbiComp/ISWC Adjunct 2020: 553-559 - [i6]Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, Cheng Wu:
Regularizing Deep Networks with Semantic Data Augmentation. CoRR abs/2007.10538 (2020)
2010 – 2019
- 2019
- [j41]Chongdang Liu, Linxuan Zhang, Yuan Liao, Cheng Wu, Gongzhuang Peng:
Multiple Sensors Based Prognostics With Prediction Interval Optimization via Echo State Gaussian Process. IEEE Access 7: 112397-112409 (2019) - [j40]Zhenfeng Gao, Yushun Fan, Xiu Li, Liang Gu, Cheng Wu, Jia Zhang:
Discovery and Analysis About the Evolutionof Service Composition Patterns. J. Web Eng. 18(7): 579-626 (2019) - [j39]Yiming Chen, Shiji Song, Shuang Li, Le Yang, Cheng Wu:
Domain Space Transfer Extreme Learning Machine for Domain Adaptation. IEEE Trans. Cybern. 49(5): 1909-1922 (2019) - [j38]Le Yang, Shiji Song, Yanshang Gong, Gao Huang, Cheng Wu:
Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3205-3210 (2019) - [j37]Wenjie Shi, Shiji Song, Cheng Wu, C. L. Philip Chen:
Multi Pseudo Q-Learning-Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles. IEEE Trans. Neural Networks Learn. Syst. 30(12): 3534-3546 (2019) - [j36]Zhenfeng Gao, Yushun Fan, Cheng Wu, Wei Tan, Jia Zhang, Yayu Ni, Bing Bai, Shuhui Chen:
SeCo-LDA: Mining Service Co-Occurrence Topics for Composition Recommendation. IEEE Trans. Serv. Comput. 12(3): 446-459 (2019) - [j35]Shuang Li, Shiji Song, Gao Huang, Cheng Wu:
Cross-Domain Extreme Learning Machines for Domain Adaptation. IEEE Trans. Syst. Man Cybern. Syst. 49(6): 1194-1207 (2019) - [j34]Hui Wu, Shiji Song, Keyou You, Cheng Wu:
Depth Control of Model-Free AUVs via Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Syst. 49(12): 2499-2510 (2019) - [c16]Hui Wu, Shiji Song, Yachu Hsu, Keyou You, Cheng Wu:
End-to-end sensorimotor control problems of AUVs with deep reinforcement learning. IROS 2019: 5869-5874 - [c15]Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang:
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning. NeurIPS 2019: 10231-10241 - [c14]Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Gao Huang, Cheng Wu:
Implicit Semantic Data Augmentation for Deep Networks. NeurIPS 2019: 12614-12623 - [c13]Chongdang Liu, Linxuan Zhang, Jiahe Niu, Rong Yao, Cheng Wu:
Prognostics for Rotating Machinery Using Variational Mode Decomposition and Long Short-Term Memory Network. SMC 2019: 7-12 - [c12]Chongdang Liu, Linxuan Zhang, Cheng Wu:
Direct Remaining Useful Life Prediction for Rolling Bearing Using Temporal Convolutional Networks. SSCI 2019: 2965-2971 - [i5]Wenjie Shi, Shiji Song, Cheng Wu, C. L. Philip Chen:
Multi Pseudo Q-learning Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles. CoRR abs/1909.03204 (2019) - [i4]Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang:
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning. CoRR abs/1909.03245 (2019) - [i3]Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Cheng Wu, Gao Huang:
Implicit Semantic Data Augmentation for Deep Networks. CoRR abs/1909.12220 (2019) - 2018
- [j33]Shuang Li, Shiji Song, Cheng Wu:
Layer-wise domain correction for unsupervised domain adaptation. Frontiers Inf. Technol. Electron. Eng. 19(1): 91-103 (2018) - [j32]Pei Xie, Keyou You, Roberto Tempo, Shiji Song, Cheng Wu:
Distributed Convex Optimization with Inequality Constraints over Time-Varying Unbalanced Digraphs. IEEE Trans. Autom. Control. 63(12): 4331-4337 (2018) - [j31]Jianya Ding, Keyou You, Shiji Song, Cheng Wu:
Likelihood Ratio-Based Scheduler for Secure Detection in Cyber Physical Systems. IEEE Trans. Control. Netw. Syst. 5(3): 991-1002 (2018) - [j30]Shuang Li, Shiji Song, Gao Huang, Zhengming Ding, Cheng Wu:
Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation. IEEE Trans. Image Process. 27(9): 4260-4273 (2018) - [c11]Zhenfeng Gao, Yushun Fan, Cheng Wu, Jia Zhang, Chang Chen:
DSES: A Blockchain-Powered Decentralized Service Eco-System. IEEE CLOUD 2018: 25-32 - 2017
- [j29]Rui Zhang, Pei-Chann Chang, Shiji Song, Cheng Wu:
Local search enhanced multi-objective PSO algorithm for scheduling textile production processes with environmental considerations. Appl. Soft Comput. 61: 447-467 (2017) - [j28]Rui Zhang, Pei-Chann Chang, Shiji Song, Cheng Wu:
A multi-objective artificial bee colony algorithm for parallel batch-processing machine scheduling in fabric dyeing processes. Knowl. Based Syst. 116: 114-129 (2017) - [c10]Zhenfeng Gao, Yushun Fan, Cheng Wu, Wei Tan, Jia Zhang:
Service Recommendation from the Evolution of Composition Patterns. SCC 2017: 108-115 - [i2]Hui Wu, Shiji Song, Keyou You, Cheng Wu:
Depth Control of Model-Free AUVs via Reinforcement Learning. CoRR abs/1711.08224 (2017) - 2016
- [j27]Jianya Ding, Shiji Song, Rui Zhang, Raymond Chiong, Cheng Wu:
Parallel Machine Scheduling Under Time-of-Use Electricity Prices: New Models and Optimization Approaches. IEEE Trans Autom. Sci. Eng. 13(2): 1138-1154 (2016) - [c9]Zhenfeng Gao, Yushun Fan, Cheng Wu, Wei Tan, Jia Zhang, Yayu Ni, Bing Bai, Shuhui Chen:
SeCo-LDA: Mining Service Co-occurrence Topics for Recommendation. ICWS 2016: 25-32 - [i1]Pei Xie, Keyou You, Roberto Tempo, Shiji Song, Cheng Wu:
Distributed Convex Optimization with Inequality Constraints over Time-varying Unbalanced Digraphs. CoRR abs/1612.09029 (2016) - 2015
- [j26]Jianya Ding, Shiji Song, Jatinder N. D. Gupta, Rui Zhang, Raymond Chiong, Cheng Wu:
An improved iterated greedy algorithm with a Tabu-based reconstruction strategy for the no-wait flowshop scheduling problem. Appl. Soft Comput. 30: 604-613 (2015) - [j25]Yuli Zhang, Shiji Song, Cheng Wu, Wenjun Yin:
Variable exponential neighborhood search for the long chain design problem. Neurocomputing 148: 269-277 (2015) - [j24]Quan Zhou, Shiji Song, Gao Huang, Cheng Wu:
Efficient Lasso training from a geometrical perspective. Neurocomputing 168: 234-239 (2015) - [j23]Gao Huang, Tianchi Liu, Yan Yang, Zhiping Lin, Shiji Song, Cheng Wu:
Discriminative clustering via extreme learning machine. Neural Networks 70: 1-8 (2015) - [j22]Bofei Xia, Yushun Fan, Wei Tan, Keman Huang, Jia Zhang, Cheng Wu:
Category-Aware API Clustering and Distributed Recommendation for Automatic Mashup Creation. IEEE Trans. Serv. Comput. 8(5): 674-687 (2015) - [c8]Jianya Ding, Shiji Song, Rui Zhang, Siwei Zhou, Cheng Wu:
A novel Block-shifting simulated annealing algorithm for the no-wait flowshop scheduling problem. CEC 2015: 2768-2774 - 2014
- [j21]Gao Huang, Shiji Song, Jatinder N. D. Gupta, Cheng Wu:
Semi-Supervised and Unsupervised Extreme Learning Machines. IEEE Trans. Cybern. 44(12): 2405-2417 (2014) - [c7]Jianya Ding, Shiji Song, Rui Zhang, Cheng Wu:
Minimizing makespan for a no-wait flowshop using tabu mechanism improved iterated greedy algorithm. IEEE Congress on Evolutionary Computation 2014: 1906-1911 - [c6]Bofei Xia, Yushun Fan, Cheng Wu, Keman Huang, Wei Tan, Jia Zhang, Bing Bai:
Domain-Aware Service Recommendation for Service Composition. ICWS 2014: 439-446 - 2013
- [j20]Rui Zhang, Shiji Song, Cheng Wu:
A hybrid differential evolution algorithm for job shop scheduling problems with expected total tardiness criterion. Appl. Soft Comput. 13(3): 1448-1458 (2013) - [j19]Rui Zhang, Shiji Song, Cheng Wu:
A simulation-based differential evolution algorithm for stochastic parallel machine scheduling with operational considerations. Int. Trans. Oper. Res. 20(4): 533-557 (2013) - [j18]Quan Zhou, Shiji Song, Cheng Wu, Gao Huang:
Kernelized LARS-LASSO for constructing radial basis function neural networks. Neural Comput. Appl. 23(7-8): 1969-1976 (2013) - [j17]Gao Huang, Shiji Song, Jatinder N. D. Gupta, Cheng Wu:
A second order cone programming approach for semi-supervised learning. Pattern Recognit. 46(12): 3548-3558 (2013) - 2012
- [j16]Cheng Wang, Shiji Song, Jatinder N. D. Gupta, Cheng Wu:
A three-phase algorithm for flowshop scheduling with blocking to minimize makespan. Comput. Oper. Res. 39(11): 2880-2887 (2012) - [j15]Rui Zhang, Cheng Wu:
A hybrid local search algorithm for scheduling real-world job shops with batch-wise pending due dates. Eng. Appl. Artif. Intell. 25(2): 209-221 (2012) - [j14]Rui Zhang, Cheng Wu:
Bottleneck machine identification method based on constraint transformation for job shop scheduling with genetic algorithm. Inf. Sci. 188: 236-252 (2012) - [j13]Rui Zhang, Cheng Wu:
A PMBGA to Optimize the Selection of Rules for Job Shop Scheduling Based on the Giffler-Thompson Algorithm. J. Appl. Math. 2012: 623230:1-623230:17 (2012) - [j12]Rui Zhang, Shiji Song, Cheng Wu:
A two-stage hybrid particle swarm optimization algorithm for the stochastic job shop scheduling problem. Knowl. Based Syst. 27: 393-406 (2012) - [j11]Yuli Zhang, Shiji Song, Heming Zhang, Cheng Wu, Wenjun Yin:
A hybrid genetic algorithm for two-stage multi-item inventory system with stochastic demand. Neural Comput. Appl. 21(6): 1087-1098 (2012) - [j10]Gao Huang, Shiji Song, Cheng Wu:
Orthogonal Least Squares Algorithm for Training Cascade Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 59-I(11): 2629-2637 (2012) - [j9]Gao Huang, Shiji Song, Cheng Wu, Keyou You:
Robust Support Vector Regression for Uncertain Input and Output Data. IEEE Trans. Neural Networks Learn. Syst. 23(11): 1690-1700 (2012) - 2011
- [j8]Rui Zhang, Cheng Wu:
A simulated annealing algorithm based on block properties for the job shop scheduling problem with total weighted tardinessobjective. Comput. Oper. Res. 38(5): 854-867 (2011) - [j7]Rui Zhang, Cheng Wu:
An Artificial Bee Colony Algorithm for the Job Shop Scheduling Problem with Random Processing Times. Entropy 13(9): 1708-1729 (2011) - 2010
- [j6]Rui Zhang, Cheng Wu:
A hybrid approach to large-scale job shop scheduling. Appl. Intell. 32(1): 47-59 (2010) - [j5]Rui Zhang, Cheng Wu:
A hybrid immune simulated annealing algorithm for the job shop scheduling problem. Appl. Soft Comput. 10(1): 79-89 (2010) - [j4]Feng Jin, Jatinder N. D. Gupta, Shiji Song, Cheng Wu:
Single machine scheduling with sequence-dependent family setups to minimize maximum lateness. J. Oper. Res. Soc. 61(7): 1181-1189 (2010) - [c5]Yuli Zhang, Shiji Song, Cheng Wu, Wenjun Yin:
Multi-echelon multi-item dynamic inventory management via decomposition and coordination algorithm. ICNSC 2010: 205-210 - [c4]Yuli Zhang, Shiji Song, Cheng Wu, Wenjun Yin:
Stochastic Optimization of Two-stage Multi-item Inventory System with Hybrid Genetic Algorithm. LSMS/ICSEE (2) 2010: 484-492
2000 – 2009
- 2008
- [j3]Feng Jin, Jatinder N. D. Gupta, Shiji Song, Cheng Wu:
Makespan distribution of permutation flowshop schedules. J. Sched. 11(6): 421-432 (2008) - [c3]Rui Zhang, Cheng Wu:
Decomposition and immune genetic algorithm for scheduling large job shops. IEEE Congress on Evolutionary Computation 2008: 33-39 - [c2]Rui Zhang, Cheng Wu:
An Immune Genetic Algorithm Based on Bottleneck Jobs for the Job Shop Scheduling Problem. EvoCOP 2008: 147-157 - 2004
- [j2]Heming Zhang, Wenhui Fan, Cheng Wu:
Concurrent Design Approach and its Collaborative Environment for Integrated Complex Product Development. Trans. SDPS 8(3): 89-97 (2004) - 2003
- [c1]Wenjun Yin, Min Liu, Cheng Wu:
Learning single-machine scheduling heuristics subject to machine breakdowns with genetic programming. IEEE Congress on Evolutionary Computation 2003: 1050-1055
1990 – 1999
- 1999
- [j1]Yushun Fan, Wei Shi, Cheng Wu:
Enterprise wide application integration platform for CIMS implementation. J. Intell. Manuf. 10(6): 587-601 (1999)
Coauthor Index
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