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Jing Liu 0006
Person information

- affiliation: Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China
- affiliation (2009 - 2011): University of New South Wales, Australian Defence Force Academy, Australia
- affiliation (2007 - 2008): University of Queensland, St. Lucia, Qld, Australia
- affiliation (PhD 2004): Xidian University, Xi'an, China
Other persons with the same name
- Jing Liu — disambiguation page
- Jing Liu 0001
— Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- Jing Liu 0002
— Tianjin University, School of Electrical and Information Engineering, China (and 1 more)
- Jing Liu 0003
— Inner Mongolia University, College of Computer Science, Hohhot, China (and 1 more)
- Jing Liu 0004
— Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Mobile Computing and Pervasive Device, Beijing, China
- Jing Liu 0005
— Tianjin University, School of Precision Instruments and Opto-Electronics Engineering, China (and 1 more)
- Jing Liu 0007
— Xi'an University of Technology, Faculty of Computer Science and Engineering, China
- Jing Liu 0008
— TU Dortmund University, Robotics Research Institute, Germany
- Jing Liu 0009
— University of California, San Diego, Department of Electrical and Computer Engineering, CA, USA
- Jing Liu 0010 — Nankai University, Nankai-Baidu Joint Laboratory, College of IT, Tianjin, China
- Jing Liu 0011
— Xi'an JiaoTong University, School of Electronics and Information Engineering, China (and 1 more)
- Jing Liu 0012
— East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China
- Jing Liu 0013
— Peking University, School of Software and Microelectronics / School of Electronics Engineering and Computer Science, Beijing, China
- Jing Liu 0014
— Tsinghua University, School of Medicine, Department of Biomedical Engineering, Beijing, China
- Jing Liu 0015
— Beijing University of Posts and Telecommunications, School of Information and Communications Engineering, China
- Jing Liu 0016
— Chinese University of Hong Kong, Future Network of Intelligence Institute, Shenzhen, China (and 1 more)
- Jing Liu 0017
— Donghua University, School of Information Science and Technology, Shanghai, China
- Jing Liu 0018
— Xi'an University of Posts and Telecommunications, School of Electronic Engineering, Xi'an, China (and 1 more)
- Jing Liu 0019
— Lehigh University, Department of Electrical and Computer Engineering, Bethlehem, PA, USA
- Jing Liu 0020
— Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Jing Liu 0021
— University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, Netherlands (and 1 more)
- Jing Liu 0022 — Baidu Inc., Beijing, China (and 2 more)
- Jing Liu 0023 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China (and 1 more)
- Jing Liu 0024 — George Mason University, Fairfax, VA, USA (and 1 more)
- Jing Liu 0025 — Southern Yangtze University, School of Information Technology, Wuxi, China
- Jing Liu 0026 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, Canada (and 1 more)
- Jing Liu 0027 — University of Alabama, Department of Computer Science, Tuscaloosa, AL, USA
- Jing Liu 0028
— Beijing University of Technology, College of Computer Science, China
- Jing Liu 0029
— University of New South Wales, School of Engineering and Information Technology, Canberra, Australia (and 1 more)
- Jing Liu 0030 — Capital Normal University, Department of Educational Technology, Beijing, China
- Jing Liu 0031 — East China Normal University, Multimedia and Computer Vision Lab, Shanghai, China
- Jing Liu 0032
— Wuhan University of Science and Technology, College of Computer Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, China (and 1 more)
- Jing Liu 0033 — Wuhan University, School of Computer / State Key Laboratory of Software Engineering, China
- Jing Liu 0034 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Jing Liu 0035 — Chinese Academy of Sciences, Institute of Microelectronics, Laboratory of Microelectronics Devices and Integrated Technology, Beijing, China
- Jing Liu 0036
— Zhengzhou Information Science and Technology Institute, China
- Jing Liu 0037
— University of Copenhagen, Department of Food Science, Denmark
- Jing Liu 0038
— Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Jing Liu 0039
— Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning / IDG/McGovern Institute of Brain Research / Center for Collaboration and Innovation in Brain and Learning Sciences, China
- Jing Liu 0040
— Jilin University, MoE Key Laboratory of Bionic Engineering, Changchun, China
- Jing Liu 0041
— Hainan University, School of Information and Communication Engineering / State Key Laboratory of Marine Resource Utilization in the South China Sea, Haikou, China (and 1 more)
- Jing Liu 0042
— Tianjin University, School of Precision Instruments and Opto-Electronic Engineering, China
- Jing Liu 0043
— Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- Jing Liu 0044
— Zhejiang University School of Medicine, Second Affiliated Hospital, Hangzhou, China
- Jing Liu 0045
— Soochow University, School of Electronic and Information Engineering, Suzhou, China
- Jing Liu 0046
— Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China (and 1 more)
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2020 – today
- 2022
- [j98]Chao Wang, Kai Wu, Jing Liu:
Evolutionary Multitasking AUC Optimization [Research Frontier]. IEEE Comput. Intell. Mag. 17(2): 67-82 (2022) - [j97]Fangtao Shao, Jing Liu, Peng Wu, Zhiwei Yang, Zhaoyang Wu:
Exploiting foreground and background separation for prohibited item detection in overlapping X-Ray images. Pattern Recognit. 122: 108261 (2022) - [j96]Yilu Liu
, Jing Liu, Xiangyi Teng
:
Single-particle optimization for network embedding preserving both local and global information. Swarm Evol. Comput. 71: 101069 (2022) - [j95]Chao Wang
, Jing Liu
, Kai Wu
, Zhaoyang Wu
:
Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection. IEEE Trans. Evol. Comput. 26(2): 304-318 (2022) - [i5]Kai Wu, Chao Wang, Junyuan Chen, Jing Liu:
What Knowledge can be Transferred Between Network Reconstruction and Community Detection? CoRR abs/2201.01134 (2022) - [i4]Chao Wang, Kai Wu, Jing Liu:
Evolutionary Multitasking AUC Optimization. CoRR abs/2201.01145 (2022) - 2021
- [j94]Yutong Zhang
, Jing Liu
:
Emergency Logistics Scheduling Under Uncertain Transportation Time Using Online Optimization Methods. IEEE Access 9: 36995-37010 (2021) - [j93]Zhiwei Yang
, Jing Liu
, Peng Wu
:
Bidirectional Retrospective Generation Adversarial Network for Anomaly Detection in Videos. IEEE Access 9: 107842-107857 (2021) - [j92]Baihao Qiao, Jing Liu, Xingxing Hao:
A multi-objective differential evolution algorithm and a constraint handling mechanism based on variables proportion for dynamic economic emission dispatch problems. Appl. Soft Comput. 108: 107419 (2021) - [j91]Chao Wang, Jing Liu, Kai Wu, Chaolong Ying:
Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm. Appl. Soft Comput. 108: 107441 (2021) - [j90]Ruochen Liu, Ruinan Wang, Renyu Bian, Jing Liu, Licheng Jiao:
A Decomposition-Based Evolutionary Algorithm with Correlative Selection Mechanism for Many-Objective Optimization. Evol. Comput. 29(2): 269-304 (2021) - [j89]Xingxing Hao, Jing Liu, Yutong Zhang, Gustaph Sanga:
Mathematical model and simulated annealing algorithm for Chinese high school timetabling problems under the new curriculum innovation. Frontiers Comput. Sci. 15(1): 151309 (2021) - [j88]Xiangyi Teng
, Jing Liu, Liqiang Li:
A synchronous feature learning method for multiplex network embedding. Inf. Sci. 574: 176-191 (2021) - [j87]Fang Shen, Jing Liu, Kai Wu:
Evolutionary multitasking network reconstruction from time series with online parameter estimation. Knowl. Based Syst. 222: 107019 (2021) - [j86]Yating Cao
, Jing Liu, Zhouwu Xu:
A hybrid particle swarm optimization algorithm for RFID network planning. Soft Comput. 25(7): 5747-5761 (2021) - [j85]Xiangyi Teng
, Jing Liu, Mingming Li:
Overlapping Community Detection in Directed and Undirected Attributed Networks Using a Multiobjective Evolutionary Algorithm. IEEE Trans. Cybern. 51(1): 138-150 (2021) - [j84]Shuai Wang
, Jing Liu
, Yaochu Jin
:
Finding Influential Nodes in Multiplex Networks Using a Memetic Algorithm. IEEE Trans. Cybern. 51(2): 900-912 (2021) - [j83]Xingxing Hao
, Rong Qu
, Jing Liu
:
A Unified Framework of Graph-Based Evolutionary Multitasking Hyper-Heuristic. IEEE Trans. Evol. Comput. 25(1): 35-47 (2021) - [j82]Kai Wu
, Jing Liu
, Xingxing Hao
, Penghui Liu
, Fang Shen
:
An Evolutionary Multiobjective Framework for Complex Network Reconstruction Using Community Structure. IEEE Trans. Evol. Comput. 25(2): 247-261 (2021) - [j81]Shuai Wang
, Jing Liu
, Yaochu Jin
:
A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization. IEEE Trans. Evol. Comput. 25(3): 419-432 (2021) - [j80]Kai Wu
, Jing Liu
, Penghui Liu
, Fang Shen
:
Online Fuzzy Cognitive Map Learning. IEEE Trans. Fuzzy Syst. 29(7): 1885-1898 (2021) - [j79]Fang Shen
, Jing Liu
, Kai Wu
:
Multivariate Time Series Forecasting Based on Elastic Net and High-Order Fuzzy Cognitive Maps: A Case Study on Human Action Prediction Through EEG Signals. IEEE Trans. Fuzzy Syst. 29(8): 2336-2348 (2021) - [j78]Kuikui He
, Xiaotao Liu
, Jing Liu
, Peng Wu
:
A Multitask Learning-Based Neural Network for Defect Detection on Textured Surfaces Under Weak Supervision. IEEE Trans. Instrum. Meas. 70: 1-14 (2021) - [j77]Peng Wu
, Jing Liu
:
Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection. IEEE Trans. Image Process. 30: 3513-3527 (2021) - [c77]Zhouwu Xu, Jing Liu, Baihao Qiao, Yating Cao:
MOEA/D Using Dynamic Weight Vectors and Stable Matching Schemes for the Deployment of Multiple Airships in the Earth Observing System. CEC 2021: 177-184 - [c76]Junyuan Chen, Jing Liu:
A Memetic Algorithm for Optimizing Inter-links to Enhance the Robustness of Interdependent Networks Against Malicious Attacks. CEC 2021: 327-334 - [c75]Yating Cao, Jing Liu, Zhouwu Xu:
A Dynamic Multiagent Genetic Algorithm for Optimal Charging in Wireless Rechargeable Sensor Networks. CEC 2021: 1856-1863 - [c74]Kai Wu, Jing Liu, Chao Wang, Kaixin Yuan:
Pareto Optimization for Influence Maximization in Social Networks. EMO 2021: 697-707 - [c73]Peng Wu, Xiangteng He, Mingqian Tang, Yiliang Lv, Jing Liu:
HANet: Hierarchical Alignment Networks for Video-Text Retrieval. ACM Multimedia 2021: 3518-3527 - [i3]Peng Wu, Xiangteng He, Mingqian Tang, Yiliang Lv, Jing Liu:
HANet: Hierarchical Alignment Networks for Video-Text Retrieval. CoRR abs/2107.12059 (2021) - 2020
- [j76]Ruochen Liu
, Rui Ren, Jin Liu, Jing Liu:
A clustering and dimensionality reduction based evolutionary algorithm for large-scale multi-objective problems. Appl. Soft Comput. 89: 106120 (2020) - [j75]Shuai Wang
, Jing Liu, Yaochu Jin:
Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm. IEEE Comput. Intell. Mag. 15(2): 24-35 (2020) - [j74]Fang Shen, Jing Liu, Kai Wu:
Evolutionary multitasking fuzzy cognitive map learning. Knowl. Based Syst. 192: 105294 (2020) - [j73]Penghui Liu, Jing Liu, Kai Wu:
CNN-FCM: System modeling promotes stability of deep learning in time series prediction. Knowl. Based Syst. 203: 106081 (2020) - [j72]Zongdong Liu, Jing Liu:
A robust time series prediction method based on empirical mode decomposition and high-order fuzzy cognitive maps. Knowl. Based Syst. 203: 106105 (2020) - [j71]Kaixin Yuan, Jing Liu, Shanchao Yang, Kai Wu, Fang Shen:
Time series forecasting based on kernel mapping and high-order fuzzy cognitive maps. Knowl. Based Syst. 206: 106359 (2020) - [j70]Peng Wu
, Jing Liu, Mingming Li, Yujia Sun, Fang Shen:
Fast sparse coding networks for anomaly detection in videos. Pattern Recognit. 107: 107515 (2020) - [j69]Ze Yang, Jing Liu:
Learning fuzzy cognitive maps with convergence using a multi-agent genetic algorithm. Soft Comput. 24(6): 4055-4066 (2020) - [j68]Luowen Liu
, Jing Liu:
Reconstructing gene regulatory networks via memetic algorithm and LASSO based on recurrent neural networks. Soft Comput. 24(6): 4205-4221 (2020) - [j67]Ruochen Liu
, Luyao Peng, Jiangdi Liu, Jing Liu:
A diversity introduction strategy based on change intensity for evolutionary dynamic multiobjective optimization. Soft Comput. 24(17): 12789-12799 (2020) - [j66]Ruochen Liu, Jin Liu, Yifan Li, Jing Liu:
A random dynamic grouping based weight optimization framework for large-scale multi-objective optimization problems. Swarm Evol. Comput. 55: 100684 (2020) - [j65]Mingming Li
, Jing Liu
, Peng Wu
, Xiangyi Teng
:
Evolutionary Network Embedding Preserving Both Local Proximity and Community Structure. IEEE Trans. Evol. Comput. 24(3): 523-535 (2020) - [j64]Shuai Wang
, Jing Liu
, Yaochu Jin
:
Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding. IEEE Trans. Evol. Comput. 24(4): 735-749 (2020) - [j63]Fang Shen
, Jing Liu
, Kai Wu
:
A Preference-Based Evolutionary Biobjective Approach for Learning Large-Scale Fuzzy Cognitive Maps: An Application to Gene Regulatory Network Reconstruction. IEEE Trans. Fuzzy Syst. 28(6): 1035-1049 (2020) - [j62]Kai Wu
, Jing Liu
, Penghui Liu
, Shanchao Yang
:
Time Series Prediction Using Sparse Autoencoder and High-Order Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 28(12): 3110-3121 (2020) - [j61]Peng Wu
, Jing Liu
, Fang Shen
:
A Deep One-Class Neural Network for Anomalous Event Detection in Complex Scenes. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2609-2622 (2020) - [c72]Zhipeng Hou, Jing Liu:
A Two-phase Evolutionary Algorithm for Solving the Accuracy-diversity Dilemma in Recommendation. CEC 2020: 1-8 - [c71]Jiahao Liu, Jing Liu:
A Decomposition-based Multi-objective Self-adaptive Differential Evolution Algorithm for RFID Network Planning. CEC 2020: 1-7 - [c70]Xiangyi Teng
, Jing Liu:
Atrributed Graph Embedding Based on Multiobjective Evolutionary Algorithm for Overlapping Community Detection. CEC 2020: 1-8 - [c69]Qiansheng Yang, Jing Liu, Liqiang Li:
Path Planning of UAVs Under Dynamic Environment based on a Hierarchical Recursive Multiagent Genetic Algorithm. CEC 2020: 1-8 - [c68]Peng Wu, Jing Liu, Yujia Shi, Yujia Sun, Fangtao Shao, Zhaoyang Wu, Zhiwei Yang:
Not only Look, But Also Listen: Learning Multimodal Violence Detection Under Weak Supervision. ECCV (30) 2020: 322-339 - [c67]Kai Wu, Jing Liu:
Multi-objective Evolutionary Top Rank Optimization with Pareto Ensemble. SSCI 2020: 624-630 - [i2]Shanchao Yang, Jing Liu, Kai Wu, Mingming Li:
Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets. CoRR abs/2003.01436 (2020) - [i1]Peng Wu, Jing Liu, Yujia Shi, Yujia Sun, Fangtao Shao, Zhaoyang Wu, Zhiwei Yang:
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision. CoRR abs/2007.04687 (2020)
2010 – 2019
- 2019
- [j60]Ze Yang, Jing Liu:
Learning of fuzzy cognitive maps using a niching-based multi-modal multi-agent genetic algorithm. Appl. Soft Comput. 74: 356-367 (2019) - [j59]Shuai Wang
, Jing Liu:
Community robustness and its enhancement in interdependent networks. Appl. Soft Comput. 77: 665-677 (2019) - [j58]Jing Liu, Yaxiong Chi, Zongdong Liu, Shan He:
Ensemble multi-objective evolutionary algorithm for gene regulatory network reconstruction based on fuzzy cognitive maps. CAAI Trans. Intell. Technol. 4(1): 24-36 (2019) - [j57]Xingxing Hao, Jing Liu, Xiaoxiao Yuan, Xianglong Tang, Zhangtao Li:
A moving block sequence-based evolutionary algorithm for resource-constrained project scheduling problems. Int. J. Bio Inspired Comput. 14(2): 85-102 (2019) - [j56]Shuai Wang
, Jing Liu:
Designing comprehensively robust networks against intentional attacks and cascading failures. Inf. Sci. 478: 125-140 (2019) - [j55]Luowen Liu
, Jing Liu:
A sparse and decomposed particle swarm optimization for inferring gene regulatory networks based on fuzzy cognitive maps. J. Bioinform. Comput. Biol. 17(4): 1950023:1-1950023:25 (2019) - [j54]Kai Wu, Jing Liu, Dan Chen:
Network reconstruction based on time series via memetic algorithm. Knowl. Based Syst. 164: 404-425 (2019) - [j53]Yaxiong Chi, Jing Liu:
Reconstructing gene regulatory networks with a memetic-neural hybrid based on fuzzy cognitive maps. Nat. Comput. 18(2): 301-312 (2019) - [j52]Yilan Wang, Jing Liu:
A Stable, Unified Density Controlled Memetic Algorithm for Gene Regulatory Network Reconstruction Based on Sparse Fuzzy Cognitive Maps. Neural Process. Lett. 50(3): 2843-2870 (2019) - [j51]Shuai Wang
, Jing Liu
:
Constructing Robust Community Structure Against Edge-Based Attacks. IEEE Syst. J. 13(1): 582-592 (2019) - [c66]Baihao Qiao, Jing Liu:
Using Multi-objective Particle Swarm Optimization to Solve Dynamic Economic Emission Dispatch Considering Wind Power and Electric Vehicles. BIC-TA (1) 2019: 65-76 - [c65]Ze Yang, Jing Liu, Kai Wu:
Learning of Boosting Fuzzy Cognitive Maps Using a Real-coded Genetic Algorithm. CEC 2019: 966-973 - [c64]Zhenni Ren, Jing Liu:
Extracting Information Cores with Multi-property Using a Multiobjective Evolutionary Algorithm. CEC 2019: 1014-1021 - [c63]Kai Wu, Jing Liu:
Classification-based Optimization with Multi-Fidelity Evaluations. CEC 2019: 1126-1131 - [c62]Yilan Wang, Jing Liu:
A Sparse Fireworks Algorithm for Gene Regulatory Network Reconstruction based on Fuzzy Cognitive Maps. CEC 2019: 1188-1194 - [c61]QiFei Wei, Dongxiao Quan, Jing Liu, Changxing Pei:
Efficient Fault-Tolerant Syndrome Measurement of Quantum Error-Correcting Codes Based on "Flag". PDCAT 2019: 173-178 - 2018
- [j50]Jie Yang
, Jing Liu:
Influence Maximization-Cost Minimization in Social Networks Based on a Multiobjective Discrete Particle Swarm Optimization Algorithm. IEEE Access 6: 2320-2329 (2018) - [j49]Luowen Liu
, Jing Liu:
Inferring gene regulatory networks with hybrid of multi-agent genetic algorithm and random forests based on fuzzy cognitive maps. Appl. Soft Comput. 69: 585-598 (2018) - [j48]Xiaodong Wang, Jing Liu:
A comparative study of the measures for evaluating community structure in bipartite networks. Inf. Sci. 448-449: 249-262 (2018) - [j47]Zhangtao Li
, Jing Liu
, Kai Wu:
A Multiobjective Evolutionary Algorithm Based on Structural and Attribute Similarities for Community Detection in Attributed Networks. IEEE Trans. Cybern. 48(7): 1963-1976 (2018) - [j46]Xumiao Zou
, Jing Liu
:
A Mutual Information-Based Two-Phase Memetic Algorithm for Large-Scale Fuzzy Cognitive Map Learning. IEEE Trans. Fuzzy Syst. 26(4): 2120-2134 (2018) - [j45]Shanchao Yang
, Jing Liu
:
Time-Series Forecasting Based on High-Order Fuzzy Cognitive Maps and Wavelet Transform. IEEE Trans. Fuzzy Syst. 26(6): 3391-3402 (2018) - [j44]Shuai Wang
, Jing Liu
:
A Multi-Objective Evolutionary Algorithm for Promoting the Emergence of Cooperation and Controllable Robustness on Directed Networks. IEEE Trans. Netw. Sci. Eng. 5(2): 92-100 (2018) - [c60]Fang Shen, Jing Liu, Peng Wu:
Double Complete D-LBP with Extreme Learning Machine Auto-Encoder and Cascade Forest for Facial Expression Analysis. ICIP 2018: 1947-1951 - [c59]Fang Shen, Jing Liu, Peng Wu:
Double δ-LBP: A Novel Feature Extraction Method for Facial Expression Recognition. IGTA 2018: 370-379 - 2017
- [j43]Penghui Liu, Jing Liu:
Multi-leader PSO (MLPSO): A new PSO variant for solving global optimization problems. Appl. Soft Comput. 61: 256-263 (2017) - [j42]Jing Liu, Yaxiong Chi, Chen Zhu, Yaochu Jin
:
A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps. BMC Bioinform. 18(1): 241:1-241:14 (2017) - [j41]Weiqi Chen, Jing Liu, Shan He:
Prior knowledge guided active modules identification: an integrated multi-objective approach. BMC Syst. Biol. 11(S-2): 8:1-8:12 (2017) - [j40]Tao Zhang, Jing Liu:
An efficient and fast kinematics-based algorithm for RFID network planning. Comput. Networks 121: 13-24 (2017) - [j39]Jing Liu, Mingxing Zhou, Shuai Wang, Penghui Liu:
A comparative study of network robustness measures. Frontiers Comput. Sci. 11(4): 568-584 (2017) - [j38]Kai Wu, Jing Liu, Yaxiong Chi:
Wavelet fuzzy cognitive maps. Neurocomputing 232: 94-103 (2017) - [j37]Xingxing Hao, Jing Liu:
A multiagent evolutionary algorithm with direct and indirect combined representation for constraint satisfaction problems. Soft Comput. 21(3): 781-793 (2017) - [j36]Jinhuang Huang
, Jing Liu, Xin Yao
:
A multi-agent evolutionary algorithm for software module clustering problems. Soft Comput. 21(12): 3415-3428 (2017) - [j35]Mingxing Zhou, Jing Liu:
A Two-Phase Multiobjective Evolutionary Algorithm for Enhancing the Robustness of Scale-Free Networks Against Multiple Malicious Attacks. IEEE Trans. Cybern. 47(2): 539-552 (2017) - [j34]Maoguo Gong
, Hao Li
, Enhu Luo, Jing Liu, Jia Liu:
A Multiobjective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing. IEEE Trans. Evol. Comput. 21(2): 234-248 (2017) - [j33]Kai Wu
, Jing Liu
:
Learning Large-Scale Fuzzy Cognitive Maps Based on Compressed Sensing and Application in Reconstructing Gene Regulatory Networks. IEEE Trans. Fuzzy Syst. 25(6): 1546-1560 (2017) - [c58]Xingxing Hao, Jing Liu, Zhenkun Wang
:
An improved global replacement strategy for MOEA/D on many-objective kanpsack problems. CASE 2017: 624-629 - [c57]Meining Liu, Jing Liu, Xingxing Hao:
A differential evolution algorithm for the resource investment problem with discounted cash flows. CASE 2017: 1554-1559 - [c56]Shuai Wang, Jing Liu:
A multi-agent genetic algorithm for improving the robustness of communities in complex networks against attacks. CEC 2017: 17-22 - [c55]Shuai Wang, Jing Liu:
Enhancing the robustness of complex networks against edge-based-attack cascading failures. CEC 2017: 23-28 - [c54]Yawen Zhou, Jing Liu:
A multi-agent genetic algorithm for multi-period emergency resource scheduling problems in uncertain traffic network. CEC 2017: 43-50 - [c53]Xiaohui Gan, Jing Liu:
A multi-objective evolutionary algorithm for emergency logistics scheduling in large-scale disaster relief. CEC 2017: 51-58 - [c52]Xiaodong Wang, Jing Liu:
A Memetic Algorithm for Community Detection in Bipartite Networks. ICONIP (4) 2017: 89-99 - [c51]Yongwei Qin, Jing Liu:
Emergency Materials Scheduling in Disaster Relief Based on a Memetic Algorithm. ICONIP (4) 2017: 279-287 - [c50]Kai Wu, Jing Liu:
Evolutionary Game Network Reconstruction by Memetic Algorithm with l 1/2 Regularization. SEAL 2017: 15-26 - [c49]Kai Wu, Jing Liu:
Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization. SEAL 2017: 385-396 - [c48]Xumiao Zou, Jing Liu:
Learning Fuzzy Cognitive Maps Using a Genetic Algorithm with Decision-Making Trial and Evaluation. SEAL 2017: 845-857 - 2016
- [j32]Liang He, Hua Chen, Peng Sun, Xiaofei Jia, Chongguang Dai, Jing Liu, Long Shao, Zhaoqing Liu:
Single event upset rate modeling for ultra-deep submicron complementary metal-oxide-semiconductor devices. Sci. China Inf. Sci. 59(4): 042402:1-042402:11 (2016) - [j31]Jinhuang Huang, Jing Liu:
A similarity-based modularization quality measure for software module clustering problems. Inf. Sci. 342: 96-110 (2016) - [j30]Kai Wu, Jing Liu:
Robust learning of large-scale fuzzy cognitive maps via the lasso from noisy time series. Knowl. Based Syst. 113: 23-38 (2016) - [j29]Yutong Zhang, Jing Liu, Mingxing Zhou, Zhongzhou Jiang:
A multi-objective memetic algorithm based on decomposition for big optimization problems. Memetic Comput. 8(1): 45-61 (2016) - [j28]Chenlong Liu, Jing Liu, Zhongzhou Jiang:
An improved multi-objective evolutionary algorithm for simultaneously detecting separated and overlapping communities. Nat. Comput. 15(4): 635-651 (2016) - [j27]Shan He
, Guanbo Jia, Zexuan Zhu, Dan A. Tennant, Qiang Huang
, Ke Tang, Jing Liu, Mirco Musolesi
, John K. Heath, Xin Yao
:
Cooperative Co-Evolutionary Module Identification With Application to Cancer Disease Module Discovery. IEEE Trans. Evol. Comput. 20(6): 874-891 (2016) - [j26]Yaxiong Chi, Jing Liu:
Learning of Fuzzy Cognitive Maps With Varying Densities Using A Multiobjective Evolutionary Algorithm. IEEE Trans. Fuzzy Syst. 24(1): 71-81 (2016) - [j25]Jing Liu, Yaxiong Chi, Chen Zhu:
A Dynamic Multiagent Genetic Algorithm for Gene Regulatory Network Reconstruction Based on Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 24(2): 419-431 (2016) - [c47]Xingxing Hao, Jing Liu:
A new MBS representation for resource-constrained project scheduling problems. CEC 2016: 217-224 - [c46]Xiaohui Gan, Jing Liu, Xingxing Hao:
Emergency logistics scheduling in disaster relief based on a multi-agent genetic algorithm. CEC 2016: 785-792 - [c45]Martin O. Wimmers, Jing Liu:
A study of fitness functions for reconstructing networks using node degrees. CEC 2016: 2558-2564 - [c44]Haolong Wu, Jing Liu:
A multi-agent genetic algorithm based on natural coding for emergency resources scheduling problems. CEC 2016: 2706-2711