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Keke Huang
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2020 – today
- 2024
- [j78]Keke Huang, Shijun Tao, Dehao Wu, Chunhua Yang, Weihua Gui:
Robust condition identification against label noise in industrial processes based on trusted connection dictionary learning. Reliab. Eng. Syst. Saf. 247: 110133 (2024) - [j77]Rongxing Guan, Huabo Liu, Keke Huang, Haisheng Yu:
$H_\infty$ Performance Analysis of Large-Scale Networked Systems. IEEE Syst. J. 18(3): 1528-1537 (2024) - [j76]Zeyi Liu, Dehao Wu, Keke Huang, Chunhua Yang, Weihua Gui:
Fault Diagnosis of Complex Industrial Systems Based on Multi-Granularity Dictionary Learning and Its Application. IEEE Trans Autom. Sci. Eng. 21(1): 192-203 (2024) - [j75]Keke Huang, Shijun Tao, Dehao Wu, Chunhua Yang, Weihua Gui:
Physical Informed Sparse Learning for Robust Modeling of Distributed Parameter System and Its Industrial Applications. IEEE Trans Autom. Sci. Eng. 21(3): 4561-4572 (2024) - [j74]Yishun Liu, Weiping Liu, Shaochong Lin, Chunhua Yang, Keke Huang, Zuo-Jun Max Shen:
Data-Driven Raw Material Robust Procurement for Non-Ferrous Metal Smelter Under Price and Demand Uncertainties. IEEE Trans Autom. Sci. Eng. 21(4): 5852-5865 (2024) - [j73]Min Wang, Huabo Liu, Keke Huang, Yao Mao, Haisheng Yu:
Remote Robust State Estimation for Nonlinear Cyber-Physical Systems Under Denial-of-Service Attacks. IEEE Trans. Circuits Syst. I Regul. Pap. 71(9): 4189-4198 (2024) - [j72]Bei Sun, Maosen Fan, Gengchen Liu, Mingjie Lv, Shengyu Liu, Mingfang He, Keke Huang, Chunhua Yang:
A Dynamics-Learning Multirate Estimation Approach for the Feeding Condition Perception of Complex Industry Processes. IEEE Trans. Cybern. 54(5): 3286-3298 (2024) - [j71]Weichao Luo, Keke Huang, Xiaojun Liang, Hao Ren, Nan Zhou, Chaobo Zhang, Chunhua Yang, Weihua Gui:
Process Manufacturing Intelligence Empowered by Industrial Metaverse: A Survey. IEEE Trans. Cybern. 54(11): 6679-6692 (2024) - [j70]Keke Huang, Xinyu Ying, Xinyi Liu, Dehao Wu, Chunhua Yang, Weihua Gui:
One Network Fits All: A Self-Organizing Fuzzy Neural Network Based Explicit Predictive Control Method for Multimode Process. IEEE Trans. Fuzzy Syst. 32(9): 4876-4889 (2024) - [j69]Wenfeng Deng, Zili Xiang, Keke Huang, Jie Liu, Chunhua Yang, Weihua Gui:
Detecting Intelligent Load Redistribution Attack Based on Power Load Pattern Learning in Cyber-Physical Power Systems. IEEE Trans. Ind. Electron. 71(6): 6285-6293 (2024) - [j68]Chunhua Yang, Zhijie Wang, Keke Huang, Weihua Gui:
Physical-Knowledge Embedded Convolutional Neural Network for Aluminum Electrolysis Superheat Degree Identification. IEEE Trans. Ind. Electron. 71(8): 9698-9707 (2024) - [j67]Keke Huang, Xinyu Ying, Dehao Wu, Chunhua Yang, Weihua Gui:
Multimodel Self-Learning Predictive Control Method With Industrial Application. IEEE Trans. Ind. Electron. 71(11): 14842-14852 (2024) - [j66]Weichao Luo, Chunhua Yang, Xiaojun Liang, Chaobo Zhang, Keke Huang, Weihua Gui:
Digital twin driven soft sensing for key variables in zinc rotary kiln. IEEE Trans. Ind. Informatics 20(4): 6673-6683 (2024) - [j65]Xiaolei Du, Huabo Liu, Haisheng Yu, Keke Huang:
Robust Fusion Estimation Under Data-Driven Transmission Strategy for Multisensor Systems With Random Packet Drops. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j64]Keke Huang, Peng Wang, Zeyi Liu, Dehao Wu, Chunhua Yang, Weihua Gui:
Open World Wheels Recognition for Incomplete Data: A Two-Stage Solution Combining Data Generation and Metric Learning. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j63]Shugang Li, Renhu Bu, Shuang Li, Chi Harold Liu, Keke Huang:
Principal Properties Attention Matching for Partial Domain Adaptation in Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j62]Keke Huang, Shujie Wu, Bei Sun, Chunhua Yang, Weihua Gui:
Metric Learning-Based Fault Diagnosis and Anomaly Detection for Industrial Data With Intraclass Variance. IEEE Trans. Neural Networks Learn. Syst. 35(1): 547-558 (2024) - [j61]Keke Huang, Zui Tao, Yishun Liu, Dehao Wu, Chunhua Yang, Weihua Gui:
Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes. IEEE Trans. Neural Networks Learn. Syst. 35(3): 2942-2955 (2024) - [j60]Keke Huang, Yanwei Tang, Xinyi Liu, Dehao Wu, Chunhua Yang, Weihua Gui:
Knowledge-Informed Neural Network for Nonlinear Model Predictive Control With Industrial Applications. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2241-2253 (2024) - [c17]Keke Huang, Yu Guang Wang, Ming Li, Pietro Lio:
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing. ICML 2024 - [c16]Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Liò:
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. WWW 2024: 1057-1068 - [c15]Keke Huang, Ruize Gao, Bogdan Cautis, Xiaokui Xiao:
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation. WWW 2024: 2660-2671 - [i11]Keke Huang, Ruize Gao, Bogdan Cautis, Xiaokui Xiao:
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation. CoRR abs/2403.02867 (2024) - [i10]Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Liò:
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. CoRR abs/2403.07954 (2024) - [i9]Keke Huang, Yu Guang Wang, Ming Li, Pietro Liò:
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing. CoRR abs/2405.12474 (2024) - 2023
- [j59]Ziyuan Wang, Can Zhou, Yishun Liu, Keke Huang, Chunhua Yang:
Cluster-based industrial KPIs forecasting considering the periodicity and holiday effect using LSTM network and MSVR. Adv. Eng. Informatics 56: 101916 (2023) - [j58]Zizhang Wu, Man Wang, Weiwei Sun, Yuchen Li, Tianhao Xu, Fan Wang, Keke Huang:
CAT: Learning to collaborate channel and spatial attention from multi-information fusion. IET Comput. Vis. 17(3): 309-318 (2023) - [j57]Yishun Liu, Chunhua Yang, Keke Huang, Weihua Gui, Shiyan Hu:
A Systematic Procurement Supply Chain Optimization Technique Based on Industrial Internet of Things and Application. IEEE Internet Things J. 10(8, April 15): 7272-7292 (2023) - [j56]Wenfeng Deng, Yuxuan Li, Keke Huang, Dehao Wu, Chunhua Yang, Weihua Gui:
LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural network. Neural Networks 158: 30-41 (2023) - [j55]Keke Huang, Xinyi Liu, Fanbiao Li, Chunhua Yang, Okyay Kaynak, Tingwen Huang:
A Federated Dictionary Learning Method for Process Monitoring With Industrial Applications. IEEE Trans. Artif. Intell. 4(5): 1017-1028 (2023) - [j54]Yichi Zhang, Chunhua Yang, Keke Huang, Can Zhou, Yonggang Li:
Robust Structure Identification of Industrial Cyber-Physical System From Sparse Data: A Network Science Perspective. IEEE Trans Autom. Sci. Eng. 20(1): 5-19 (2023) - [j53]Keke Huang, Li Zhang, Dehao Wu, Chunhua Yang, Weihua Gui:
Nonstationary Industrial Process Monitoring Based on Stationary Projective Dictionary Learning. IEEE Trans. Control. Syst. Technol. 31(3): 1122-1132 (2023) - [j52]Keke Huang, Peng Wang, Ke Wei, Dehao Wu, Chunhua Yang, Weihua Gui:
Rotary Kiln Temperature Control Under Multiple Operating Conditions: an Error-Triggered Adaptive Model Predictive Control Solution. IEEE Trans. Control. Syst. Technol. 31(6): 2700-2713 (2023) - [j51]Keke Huang, Zui Tao, Yishun Liu, Bei Sun, Chunhua Yang, Weihua Gui, Shiyan Hu:
Adaptive Multimode Process Monitoring Based on Mode-Matching and Similarity-Preserving Dictionary Learning. IEEE Trans. Cybern. 53(6): 3974-3987 (2023) - [j50]Keke Huang, Ke Wei, Fanbiao Li, Chunhua Yang, Weihua Gui:
LSTM-MPC: A Deep Learning Based Predictive Control Method for Multimode Process Control. IEEE Trans. Ind. Electron. 70(11): 11544-11554 (2023) - [j49]Keke Huang, Shijun Tao, Dehao Wu, Chunhua Yang, Weihua Gui, Shiyan Hu:
Trustworthiness of Process Monitoring in IIoT Based on Self-Weighted Dictionary Learning. IEEE Trans. Ind. Informatics 19(1): 436-446 (2023) - [j48]Fengrun Tang, Yonggang Li, Xiaojun Liang, Chaobo Zhang, Keke Huang, Chunhua Yang:
Temperature Field Prediction Model for Zinc Oxide Rotary Volatile Kiln Based on the Fusion of Thermodynamics and Infrared Images. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [j47]Lei Ren, Yuxin Liu, Di Huang, Keke Huang, Chunhua Yang:
MCTAN: A Novel Multichannel Temporal Attention-Based Network for Industrial Health Indicator Prediction. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6456-6467 (2023) - [j46]Yishun Liu, Keke Huang, Chunhua Yang, Zhen Wang:
Distributed Network Reconstruction Based on Binary Compressed Sensing via ADMM. IEEE Trans. Netw. Sci. Eng. 10(4): 2141-2153 (2023) - [j45]Yichi Zhang, Chunhua Yang, Keke Huang, Yonggang Li:
Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks. IEEE Trans. Netw. Sci. Eng. 10(5): 2894-2905 (2023) - [c14]Keke Huang, Yongyan Guo:
Interactive Design of Auxiliary Makeup APP for People with Abnormal Color Perception Based on the Concept of "Inclusive Design". HCI (10) 2023: 371-389 - [c13]Cunnian Gao, Hao Ren, Wei Cui, Xiaojun Liang, Chunhua Yang, Weihua Gui, Bei Sun, Keke Huang:
An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application. ICONIP (11) 2023: 65-76 - [c12]Wenfeng Deng, Chunhua Yang, Ke Wei, Keke Huang:
Operation Output-Feedback Predictive Control Based on Model Order Reduction and Predictive Optimization in Industrial Processes. IECON 2023: 1-6 - [c11]Hewen Wang, Renchi Yang, Keke Huang, Xiaokui Xiao:
Efficient and Effective Edge-wise Graph Representation Learning. KDD 2023: 2326-2336 - [c10]Jiangtao Liao, Huidan Hu, Keke Huang, Huasong Jin, Changlu Lin:
LDfuzz: A Directed Greybox Fuzzer for Solidity Smart Contract. MSN 2023: 488-495 - [c9]Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao:
Node-wise Diffusion for Scalable Graph Learning. WWW 2023: 1723-1733 - [i8]Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao:
Node-wise Diffusion for Scalable Graph Learning. CoRR abs/2305.14000 (2023) - [i7]Keke Huang, Pietro Liò:
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks. CoRR abs/2311.18177 (2023) - 2022
- [j44]Keke Huang, Shijun Tao, Yishun Liu, Chunhua Yang, Weihua Gui:
Label propagation dictionary learning based process monitoring method for industrial process with between-mode similarity. Sci. China Inf. Sci. 65(1) (2022) - [j43]Chen Wang, Yonggang Li, Keke Huang, Chunhua Yang, Weihua Gui:
VAE4RSS: A VAE-based neural network approach for robust soft sensor with application to zinc roasting process. Eng. Appl. Artif. Intell. 114: 105180 (2022) - [j42]Keke Huang, Ke Wei, Yonggang Li, Chunhua Yang, Weihua Gui:
Static and Dynamic Joint Analysis for Operation Condition Division of Industrial Process With Incremental Learning. IEEE Internet Things J. 9(22): 22081-22094 (2022) - [j41]Keke Huang, Shuo Li, Wenfeng Deng, Zhaofei Yu, Lei Ma:
Structure inference of networked system with the synergy of deep residual network and fully connected layer network. Neural Networks 145: 288-299 (2022) - [j40]Keke Huang, Haofei Wen, Chunhua Yang, Weihua Gui, Shiyan Hu:
Outlier Detection for Process Monitoring in Industrial Cyber-Physical Systems. IEEE Trans Autom. Sci. Eng. 19(3): 2487-2498 (2022) - [j39]Xiaoping Zheng, Wenhan Wu, Wenfeng Deng, Chunhua Yang, Keke Huang:
Reconstruction of Tree Network via Evolutionary Game Data Analysis. IEEE Trans. Cybern. 52(7): 6083-6094 (2022) - [j38]Keke Huang, Zui Tao, Chen Wang, Tianxu Guo, Chunhua Yang, Weihua Gui:
Cloud-Edge Collaborative Method for Industrial Process Monitoring Based on Error-Triggered Dictionary Learning. IEEE Trans. Ind. Informatics 18(12): 8957-8966 (2022) - [j37]Keke Huang, Zui Tao, Bei Sun, Chunhua Yang, Weihua Gui:
Industrial Process Modeling and Monitoring Based on Jointly Specific and Shared Dictionary Learning. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j36]Keke Huang, Li Zhang, Chunhua Yang, Weihua Gui, Shiyan Hu:
Unified Stationary and Nonstationary Data Representation for Process Monitoring in IIoT. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j35]Can Zhou, Tianhao Liu, Hongqiu Zhu, Fanbiao Li, Keke Huang, Bei Sun, Yancho Todorov:
A Multiple Light Scenes Suited Turbidity Analysis Method Based on Image Recognition and Information Fusion. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j34]Keke Huang, Shujie Wu, Fanbiao Li, Chunhua Yang, Weihua Gui:
Fault Diagnosis of Hydraulic Systems Based on Deep Learning Model With Multirate Data Samples. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6789-6801 (2022) - [c8]Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao:
Scalable and Effective Bipartite Network Embedding. SIGMOD Conference 2022: 1977-1991 - [i6]Zizhang Wu, Man Wang, Weiwei Sun, Yuchen Li, Tianhao Xu, Fan Wang, Keke Huang:
CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion. CoRR abs/2212.06335 (2022) - 2021
- [j33]Ziwei Deng, Zhuoyue Wang, Zhaohui Tang, Keke Huang, Hongqiu Zhu:
A deep transfer learning method based on stacked autoencoder for cross-domain fault diagnosis. Appl. Math. Comput. 408: 126318 (2021) - [j32]Keke Huang, Ke Wei, Yonggang Li, Chunhua Yang:
Distributed dictionary learning for industrial process monitoring with big data. Appl. Intell. 51(11): 7718-7734 (2021) - [j31]Keke Huang, Haofei Wen, Han Liu, Chunhua Yang, Weihua Gui:
A geometry constrained dictionary learning method for industrial process monitoring. Inf. Sci. 546: 265-282 (2021) - [j30]Tianyuan Jin, Yu Yang, Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao:
Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization. Proc. VLDB Endow. 14(10): 1756-1768 (2021) - [j29]Jingchao Dai, Keke Huang, Yishun Liu, Chunhua Yang, Zhen Wang:
Global Reconstruction of Complex Network Topology via Structured Compressive Sensing. IEEE Syst. J. 15(2): 1959-1969 (2021) - [j28]Yichi Zhang, Chunhua Yang, Keke Huang, Marko Jusup, Zhen Wang, Xuelong Li:
Reconstructing Heterogeneous Networks via Compressive Sensing and Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 5(6): 920-930 (2021) - [j27]Keke Huang, Yiming Wu, Chen Wang, Yongfang Xie, Chunhua Yang, Weihua Gui:
A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications. IEEE Trans. Ind. Informatics 17(1): 558-568 (2021) - [j26]Keke Huang, Ke Wei, Longfei Zhou, Yonggang Li, Chunhua Yang:
Multimode Process Monitoring and Mode Identification Based on Multiple Dictionary Learning. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j25]Huiping Liang, Chunhua Yang, Keke Huang, Yonggang Li, Weihua Gui:
A Hybrid First Principles and Data-Driven Process Monitoring Method for Zinc Smelting Roasting Process. IEEE Trans. Instrum. Meas. 70: 1-14 (2021) - [j24]Can Zhou, Wentao Yu, Keke Huang, Hongqiu Zhu, Yonggang Li, Chunhua Yang, Bei Sun:
A New Model Transfer Strategy Among Spectrometers Based on SVR Parameter Calibrating. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j23]Keke Huang, Zili Xiang, Wenfeng Deng, Chunhua Yang, Zhen Wang:
False Data Injection Attacks Detection in Smart Grid: A Structural Sparse Matrix Separation Method. IEEE Trans. Netw. Sci. Eng. 8(3): 2545-2558 (2021) - [c7]Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao:
Optimal Streaming Algorithms for Multi-Armed Bandits. ICML 2021: 5045-5054 - [c6]Tianyuan Jin, Jing Tang, Pan Xu, Keke Huang, Xiaokui Xiao, Quanquan Gu:
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits. ICML 2021: 5065-5073 - [c5]Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao:
Effective and Scalable Clustering on Massive Attributed Graphs. WWW 2021: 3675-3687 - [i5]Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao:
Effective and Scalable Clustering on Massive Attributed Graphs. CoRR abs/2102.03826 (2021) - 2020
- [j22]Yishun Liu, Chunhua Yang, Keke Huang, Weihua Gui:
Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network. Knowl. Based Syst. 188 (2020) - [j21]Zhaoke Huang, Chunhua Yang, Xiaofang Chen, Keke Huang, Yongfang Xie:
Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis. Neural Comput. Appl. 32(11): 7183-7199 (2020) - [j20]Keke Huang, Shuo Li, Penglin Dai, Zhen Wang, Zhaofei Yu:
SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction. Neural Networks 126: 143-152 (2020) - [j19]Peng Lin, Gang Li, Keke Huang:
Position-constrained containment for second-order discrete-time multi-agent systems. Syst. Control. Lett. 142: 104708 (2020) - [j18]Keke Huang, Zili Xiang, Wenfeng Deng, Xiaoqi Tan, Chunhua Yang:
Reweighted Compressed Sensing-Based Smart Grids Topology Reconstruction With Application to Identification of Power Line Outage. IEEE Syst. J. 14(3): 4329-4339 (2020) - [j17]Keke Huang, Yiming Wu, Chunhua Yang, Gongzhuang Peng, Weiming Shen:
Structure Dictionary Learning-Based Multimode Process Monitoring and its Application to Aluminum Electrolysis Process. IEEE Trans Autom. Sci. Eng. 17(4): 1989-2003 (2020) - [j16]Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, Feng Chen:
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All. IEEE Trans. Cybern. 50(3): 1347-1354 (2020) - [j15]Keke Huang, Haofei Wen, Can Zhou, Chunhua Yang, Weihua Gui:
Transfer Dictionary Learning Method for Cross-Domain Multimode Process Monitoring and Fault Isolation. IEEE Trans. Instrum. Meas. 69(11): 8713-8724 (2020) - [j14]Kai Han, Yuntian He, Keke Huang, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang:
Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks. IEEE Trans. Knowl. Data Eng. 32(12): 2297-2309 (2020) - [j13]Keke Huang, Zhen Wang, Marko Jusup:
Incorporating Latent Constraints to Enhance Inference of Network Structure. IEEE Trans. Netw. Sci. Eng. 7(1): 466-475 (2020) - [j12]Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim:
Efficient approximation algorithms for adaptive influence maximization. VLDB J. 29(6): 1385-1406 (2020) - [c4]Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Target Profit Maximization. ICDE 2020: 649-660 - [i4]Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Influence Maximization. CoRR abs/2004.06469 (2020)
2010 – 2019
- 2019
- [b1]Keke Huang:
Efficient adaptive approximation algorithms in online social networks. Nanyang Technological University, Singapore, 2019 - [j11]Gongzhuang Peng, Hongwei Wang, Heming Zhang, Keke Huang:
A hypernetwork-based approach to collaborative retrieval and reasoning of engineering design knowledge. Adv. Eng. Informatics 42 (2019) - [j10]Chunhua Yang, Longfei Zhou, Keke Huang, Hongquan Ji, Cheng Long, Xiaofang Chen, Yongfang Xie:
Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process. Neurocomputing 332: 305-319 (2019) - [c3]Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Seed Minimization. SIGMOD Conference 2019: 1096-1113 - [c2]Zili Xiang, Keke Huang, Wenfeng Deng, Chunhua Yang:
Blind Topology Identification for Smart Grid Based on Dictionary Learning. SSCI 2019: 1319-1326 - [i3]Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Seed Minimization. CoRR abs/1907.09668 (2019) - [i2]Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Target Profit Maximization. CoRR abs/1910.13073 (2019) - 2018
- [j9]Keke Huang, Xiaofang Chen, Zhaofei Yu, Chunhua Yang, Weihua Gui:
Heterogeneous cooperative belief for social dilemma in multi-agent system. Appl. Math. Comput. 320: 572-579 (2018) - [j8]Xueqing Zhao, Keke Huang, Xiaoming Wang, Meihong Shi, Xinjuan Zhu, Quanli Gao, Zhaofei Yu:
Reaction-diffusion equation based image restoration. Appl. Math. Comput. 338: 588-606 (2018) - [j7]Wenfeng Deng, Keke Huang, Chunhua Yang, Hongqiu Zhu, Zhaofei Yu:
Promote of cooperation in networked multiagent system based on fitness control. Appl. Math. Comput. 339: 805-811 (2018) - [j6]Kai Han, Keke Huang, Xiaokui Xiao, Jing Tang, Aixin Sun, Xueyan Tang:
Efficient Algorithms for Adaptive Influence Maximization. Proc. VLDB Endow. 11(9): 1029-1040 (2018) - 2017
- [j5]Keke Huang, Xiaoping Zheng, Yuan Cheng, Yeqing Yang:
Behavior-based cellular automaton model for pedestrian dynamics. Appl. Math. Comput. 292: 417-424 (2017) - [j4]Keke Huang, Xiaoping Zheng:
A weighted evolving network model for pedestrian evacuation. Appl. Math. Comput. 298: 57-64 (2017) - [j3]Keke Huang, Sibo Wang, Glenn S. Bevilacqua, Xiaokui Xiao, Laks V. S. Lakshmanan:
Revisiting the Stop-and-Stare Algorithms for Influence Maximization. Proc. VLDB Endow. 10(9): 913-924 (2017) - [i1]Wei Lu, Xiaokui Xiao, Amit Goyal, Keke Huang, Laks V. S. Lakshmanan:
Refutations on "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study". CoRR abs/1705.05144 (2017) - 2016
- [c1]Guangyuan Wu, Fangming Liu, Haowen Tang, Keke Huang, Qixia Zhang, Zhenhua Li, Ben Y. Zhao, Hai Jin:
On the performance of cloud storage applications with global measurement. IWQoS 2016: 1-10 - 2015
- [j2]Keke Huang, Xiaoping Zheng, Yeqing Yang, Tao Wang:
Behavioral evolution in evacuation crowd based on heterogeneous rationality of small groups. Appl. Math. Comput. 266: 501-506 (2015) - [j1]Keke Huang, Xiaoping Zheng, Yunpeng Su:
Effect of heterogeneous sub-populations on the evolution of cooperation. Appl. Math. Comput. 270: 681-687 (2015)
Coauthor Index
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