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ORCIDJing 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
![[0000-0003-0903-9131]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0903-9131")
— 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)
- Jing Liu 0047 — Beijing University of Technology, Beijing Laboratory of Smart Environmental Protection / Beijing Key Laboratory of Computational Intelligence and Intelligent System / Beijing Artificial Intelligence Institute, China
- Jing Liu 0048 — Monash University Clayton Campus, Faculty of Information Technology, VIC, Australia (and 1 more)
- Jing Liu-Zeng (aka: Jing Liu 0049) — Tianjin University, Institute of Surface-Earth System Science, School of Earth System Science, China (and 1 more)
- Jing Liu 0050 — Fudan University, Academy for Engineering and Technology, Shanghai, China
- Jing Liu 0051 — Xi'an University of Technology, Department of Electronic Engineering, China
- Jing Liu 0052 — Uppsala University, Sweden
- Jing Liu 0053 — University of California, Santa Cruz, USA
- Jing Liu 0054 — Chinese Academy of Sciences, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Automation, Beijing, China
Other persons with a similar name
- Liu Jing
- Jing-Quan Liu (aka: Jingquan Liu) — disambiguation page
- Jing-Sin Liu
- Jing-Wei Liu
- Jing-Yao Liu
- Jingyang Liu (aka: Jing-Yang Liu) — disambiguation page
- Weijing Liu (aka: Wei-Jing Liu)
- Wenjing Liu (aka: Wen-Jing Liu) — disambiguation page
- Xiao-Jing Liu
- Yijing Liu 0001 (aka: Yi-Jing Liu 0001) — University of Electronic Science and Technology of China, UESTC, Yangtze Delta Region Institute, National Key Laboratory of Science and Technology on Communications, Chengdu, China
- show all similar names
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2020 – today
- 2024
[j121]Yingzhi Teng, Jing Liu, Kai Wu, Yang Liu, Baihao Qiao:
Multivariate time series clustering based on fuzzy cognitive maps and community detection. Neurocomputing 590: 127743 (2024)- [j120]Duofeng Zeng, Xiaotao Liu, Kangjin Huang, Jing Liu:
EPL-VINS: Efficient Point-Line Fusion Visual-Inertial SLAM With LK-RG Line Tracking Method and 2-DoF Line Optimization. IEEE Robotics Autom. Lett. 9(6): 5911-5918 (2024) - [j119]Huixin Ma, Kai Wu, Handing Wang, Jing Liu:
Higher Order Knowledge Transfer for Dynamic Community Detection With Great Changes. IEEE Trans. Evol. Comput. 28(1): 90-104 (2024) - [j118]Yingzhi Teng, Kai Wu, Jing Liu:
Causal Discovery From Abundant but Noisy Fuzzy Cognitive Map Set. IEEE Trans. Fuzzy Syst. 32(7): 3992-4003 (2024) - [j117]Peng Wu, Jing Liu, Xiangteng He, Yuxin Peng, Peng Wang, Yan-Ning Zhang:
Toward Video Anomaly Retrieval From Video Anomaly Detection: New Benchmarks and Model. IEEE Trans. Image Process. 33: 2213-2225 (2024) - [j116]Kaixin Yuan, Kai Wu, Jing Liu:
Is Single Enough? A Joint Spatiotemporal Feature Learning Framework for Multivariate Time Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4985-4998 (2024) - [c86]Peng Wu, Xuerong Zhou, Guansong Pang, Yujia Sun, Jing Liu, Peng Wang, Yanning Zhang:
Open-Vocabulary Video Anomaly Detection. CVPR 2024: 18297-18307 - [c85]Wanqiu Zhao, Qi Qiu, Hong Zhao, Xu Bian, He Yu, Jing Liu, Xuesong Mei:
Multi-population for Multi-objective Genetic Algorithm with Adaptive Information Sharing Strategy for Berth Allocation and Quay Crane Assignment Problems. GECCO Companion 2024: 387-390 - [c84]Yudong Yang, Kai Wu, Xiangyi Teng, Handing Wang, He Yu, Jing Liu:
Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective. GECCO Companion 2024: 455-458 - [c83]Jiang Zhu, Hong Zhao, He Yu, Jing Liu:
Pixel Logo Attack: Embedding Attacks as Logo-Like Pixels. GECCO 2024 - [c82]Feng Zhuang, Ting Huang, He Yu, Jing Liu:
An Empirical Study of Constrained Evolutionary Algorithms for Isomorphic Connected Graph Segmentation Problems. GECCO Companion 2024: 459-462 - [i17]Zhiwei Yang, Jing Liu, Peng Wu:
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection. CoRR abs/2404.08531 (2024) - [i16]Xiaobin Li, Kai Wu, Yujian Betterest Li, Xiaoyu Zhang, Handing Wang, Jing Liu:
GLHF: General Learned Evolutionary Algorithm Via Hyper Functions. CoRR abs/2405.03728 (2024) - [i15]Yudong Yang, Kai Wu, Xiangyi Teng, Handing Wang, He Yu, Jing Liu:
Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective. CoRR abs/2407.08918 (2024) - 2023
- [j115]Hong Zhao, Xuhui Ning, Xiaotao Liu, Chao Wang, Jing Liu:
What makes evolutionary multi-task optimization better: A comprehensive survey. Appl. Soft Comput. 145: 110545 (2023) - [j114]Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Jing Liu, Kai Wu:
A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks. IEEE Comput. Intell. Mag. 18(1): 52-67 (2023) - [j113]Yilu Liu, Jing Liu, Kai Wu:
Cost-effective competition on social networks: A multi-objective optimization perspective. Inf. Sci. 620: 31-46 (2023) - [j112]Yitong Li, Kai Wu, Jing Liu:
Self-paced ARIMA for robust time series prediction. Knowl. Based Syst. 269: 110489 (2023) - [j111]Chaolong Ying, Jing Liu, Kai Wu, Chao Wang:
A Multiobjective Evolutionary Approach for Solving Large-Scale Network Reconstruction Problems via Logistic Principal Component Analysis. IEEE Trans. Cybern. 53(4): 2137-2150 (2023) - [j110]Peng Wu, Xiaotao Liu, Jing Liu:
Weakly Supervised Audio-Visual Violence Detection. IEEE Trans. Multim. 25: 1674-1685 (2023) - [c81]Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang, Jing Liu:
Closed-form Machine Unlearning for Matrix Factorization. CIKM 2023: 3278-3287 - [i14]Yuanyuan Li, Kai Wu, Jing Liu:
Discover governing differential equations from evolving systems. CoRR abs/2301.07863 (2023) - [i13]Kai Wu, Penghui Liu, Jing Liu:
LEA: Beyond Evolutionary Algorithms via Learned Optimization Strategy. CoRR abs/2304.09599 (2023) - [i12]Xiaobin Li, Kai Wu, Xiaoyu Zhang, Handing Wang, Jing Liu:
B2Opt: Learning to Optimize Black-box Optimization with Little Budget. CoRR abs/2304.11787 (2023) - [i11]Kai Wu, Yujian Betterest Li, Xiaoyu Zhang, Handing Wang, Jing Liu:
Pre-trained transformer for adversarial purification. CoRR abs/2306.01762 (2023) - [i10]Peng Wu, Jing Liu, Xiangteng He, Yuxin Peng, Peng Wang, Yanning Zhang:
Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model. CoRR abs/2307.12545 (2023) - [i9]Peng Wu, Xuerong Zhou, Guansong Pang, Yujia Sun, Jing Liu, Peng Wang, Yanning Zhang:
Open-Vocabulary Video Anomaly Detection. CoRR abs/2311.07042 (2023) - 2022
- [j109]Kai Wu, Kaixin Yuan, Yingzhi Teng, Jing Liu, Licheng Jiao:
Broad fuzzy cognitive map systems for time series classification. Appl. Soft Comput. 128: 109458 (2022) - [j108]Baihao Qiao, Jing Liu, Peng Wu, Yingzhi Teng:
Wind power forecasting based on variational mode decomposition and high-order fuzzy cognitive maps. Appl. Soft Comput. 129: 109586 (2022) - [j107]Yifan Li, Jing Liu, Yingzhi Teng:
A decomposition-based memetic neural architecture search algorithm for univariate time series forecasting. Appl. Soft Comput. 130: 109714 (2022) - [j106]Chao Wang, Kai Wu, Jing Liu:
Evolutionary Multitasking AUC Optimization [Research Frontier]. IEEE Comput. Intell. Mag. 17(2): 67-82 (2022) - [j105]Kai Wu, Jing Liu:
Learning large-scale fuzzy cognitive maps under limited resources. Eng. Appl. Artif. Intell. 116: 105376 (2022) - [j104]Yaoyang Du, Fang Liu, Licheng Jiao, Zehua Hao, Shuo Li, Xu Liu, Jing Liu:
Augmentative contrastive learning for one-shot object detection. Neurocomputing 513: 13-24 (2022) - [j103]Yifan Li, Ruochen Liu, Wanfeng Chen, Jing Liu:
Radial basis network simulation for noisy multiobjective optimization considering evolution control. Inf. Sci. 609: 1489-1505 (2022) - [j102]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) - [j101]Baihao Qiao, Jing Liu, Jiajia Huan:
Multi-objective economic emission dispatch of thermal power-electric vehicles considering user's revenue. Soft Comput. 26(22): 12833-12849 (2022) - [j100]Yilu Liu, Jing Liu, Xiangyi Teng:
Single-particle optimization for network embedding preserving both local and global information. Swarm Evol. Comput. 71: 101069 (2022) - [j99]Kai Wu, Xingxing Hao, Jing Liu, Penghui Liu, Fang Shen:
Online Reconstruction of Complex Networks From Streaming Data. IEEE Trans. Cybern. 52(6): 5136-5147 (2022) - [j98]Kai Wu, Chao Wang, Jing Liu:
Evolutionary Multitasking Multilayer Network Reconstruction. IEEE Trans. Cybern. 52(12): 12854-12868 (2022) - [j97]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) - [c80]Zhiwei Yang, Peng Wu, Jing Liu, Xiaotao Liu:
Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection. ECCV (4) 2022: 404-421 - [c79]Kaixin Yuan, Jing Liu, Jian Lou:
Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction. ICDM 2022: 1305-1310 - [i8]Kai Wu, Chao Wang, Junyuan Chen, Jing Liu:
What Knowledge can be Transferred Between Network Reconstruction and Community Detection? CoRR abs/2201.01134 (2022) - [i7]Chao Wang, Kai Wu, Jing Liu:
Evolutionary Multitasking AUC Optimization. CoRR abs/2201.01145 (2022) - [i6]Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Jing Liu, Kai Wu:
A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks. CoRR abs/2204.03297 (2022) - [i5]Zhiwei Yang, Peng Wu, Jing Liu, Xiaotao Liu:
Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection. CoRR abs/2207.10948 (2022) - [i4]Huixin Ma, Kai Wu, Handing Wang, Jing Liu:
Higher-order Knowledge Transfer for Dynamic Community Detection with Great Changes. CoRR abs/2211.15043 (2022) - 2021
- [j96]Yutong Zhang, Jing Liu:
Emergency Logistics Scheduling Under Uncertain Transportation Time Using Online Optimization Methods. IEEE Access 9: 36995-37010 (2021) - [j95]Zhiwei Yang, Jing Liu, Peng Wu:
Bidirectional Retrospective Generation Adversarial Network for Anomaly Detection in Videos. IEEE Access 9: 107842-107857 (2021) - [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]Xiangyi Teng, Jing Liu, Liqiang Li:
A synchronous feature learning method for multiplex network embedding. Inf. Sci. 574: 176-191 (2021) - [j89]Fang Shen, Jing Liu, Kai Wu:
Evolutionary multitasking network reconstruction from time series with online parameter estimation. Knowl. Based Syst. 222: 107019 (2021) - [j88]Yating Cao, Jing Liu, Zhouwu Xu:
A hybrid particle swarm optimization algorithm for RFID network planning. Soft Comput. 25(7): 5747-5761 (2021) - [j87]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) - [j86]Shuai Wang, Jing Liu, Yaochu Jin:
Finding Influential Nodes in Multiplex Networks Using a Memetic Algorithm. IEEE Trans. Cybern. 51(2): 900-912 (2021) - [j85]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) - [j84]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) - [j83]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) - [j82]Kai Wu, Jing Liu, Penghui Liu, Fang Shen:
Online Fuzzy Cognitive Map Learning. IEEE Trans. Fuzzy Syst. 29(7): 1885-1898 (2021) - [j81]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) - [j80]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) - [j79]Peng Wu, Jing Liu:
Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection. IEEE Trans. Image Process. 30: 3513-3527 (2021) - [c78]Kai Wu, Xiangyi Teng, Jing Liu:
Locating Hidden Sources in Evolutionary Games Based on Fuzzy Cognitive Map. ChineseCSCW (2) 2021: 92-106 - [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
- [j78]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) - [j77]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) - [j76]Fang Shen, Jing Liu, Kai Wu:
Evolutionary multitasking fuzzy cognitive map learning. Knowl. Based Syst. 192: 105294 (2020) - [j75]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) - [j74]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) - [j73]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) - [j72]Peng Wu, Jing Liu, Mingming Li, Yujia Sun, Fang Shen:
Fast sparse coding networks for anomaly detection in videos. Pattern Recognit. 107: 107515 (2020) - [j71]Ze Yang, Jing Liu:
Learning fuzzy cognitive maps with convergence using a multi-agent genetic algorithm. Soft Comput. 24(6): 4055-4066 (2020) - [j70]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) - [j69]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) - [j68]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) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]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
- [j62]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) - [j61]Shuai Wang, Jing Liu:
Community robustness and its enhancement in interdependent networks. Appl. Soft Comput. 77: 665-677 (2019) - [j60]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) - [j59]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) - [j58]Shuai Wang, Jing Liu:
Designing comprehensively robust networks against intentional attacks and cascading failures. Inf. Sci. 478: 125-140 (2019) - [j57]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) - [j56]Kai Wu, Jing Liu, Dan Chen:
Network reconstruction based on time series via memetic algorithm. Knowl. Based Syst. 164: 404-425 (2019) - [j55]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) - [j54]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) - [j53]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
- [j52]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) - [j51]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) - [j50]Xiaodong Wang, Jing Liu:
A comparative study of the measures for evaluating community structure in bipartite networks. Inf. Sci. 448-449: 249-262 (2018) - [j49]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) - [j48]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) - [j47]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) - [j46]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
- [j45]Penghui Liu, Jing Liu:
Multi-leader PSO (MLPSO): A new PSO variant for solving global optimization problems. Appl. Soft Comput. 61: 256-263 (2017) - [j44]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) - [j43]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) - [j42]Tao Zhang, Jing Liu:
An efficient and fast kinematics-based algorithm for RFID network planning. Comput. Networks 121: 13-24 (2017) - [j41]Jing Liu, Mingxing Zhou, Shuai Wang, Penghui Liu:
A comparative study of network robustness measures. Frontiers Comput. Sci. 11(4): 568-584 (2017) - [j40]Kai Wu, Jing Liu, Yaxiong Chi:
Wavelet fuzzy cognitive maps. Neurocomputing 232: 94-103 (2017) - [j39]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) - [j38]Jinhuang Huang, Jing Liu, Xin Yao:
A multi-agent evolutionary algorithm for software module clustering problems. Soft Comput. 21(12): 3415-3428 (2017) - [j37]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) - [j36]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) - [j35]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
- [j34]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) - [j33]Jinhuang Huang, Jing Liu:
A similarity-based modularization quality measure for software module clustering problems. Inf. Sci. 342: 96-110 (2016) - [j32]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) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]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 - [c43]Peng Wang, Jing Liu:
A multi-agent genetic algorithm for local community detection by extending the tightest nodes. CEC 2016: 3215-3221 - 2015
- [c42]Xiaoxiao Yuan, Jing Liu, Martin O. Wimmers:
A multi-agent genetic algorithm with variable neighborhood search for resource investment project scheduling problems. CEC 2015: 23-30 - [c41]Meining Liu, Jing Liu, Martin O. Wimmers, Mingxing Zhou:
A differential evolution algorithm for resource investment problem with tardiness. CEC 2015: 346-352 - [c40]Yutong Zhang, Mingxing Zhou, Zhongzhou Jiang, Jing Liu:
A multi-agent genetic algorithm for big optimization problems. CEC 2015: 703-707 - [c39]Yanni Song, Jing Liu, Martin O. Wimmers, Zhongzhou Jiang:
A differential evolution algorithm with local search for resource investment project scheduling problems. CEC 2015: 1725-1731 - [c38]Asep Maulana, Zhongzhou Jiang, Jing Liu, Thomas Bäck, Michael T. M. Emmerich:
Reducing complexity in many objective optimization using community detection. CEC 2015: 3140-3147 - [c37]Guanbo Jia, Shan He, Zexuan Zhu, Jing Liu, Ke Tang:
A Multimodal Optimization and Surprise Based Consensus Community Detection Algorithm. GECCO (Companion) 2015: 1407-1408 - 2014
- [j26]Ruochen Liu, Fei He, Jing Liu, Wenping Ma, Yangyang Li:
A point symmetry-based clonal selection clustering algorithm and its application in image compression. Pattern Anal. Appl. 17(3): 633-654 (2014) - [j25]Yadong Li, Jing Liu, Chenlong Liu:
A comparative analysis of evolutionary and memetic algorithms for community detection from signed social networks. Soft Comput. 18(2): 329-348 (2014) - [j24]Chenlong Liu, Jing Liu, Zhongzhou Jiang:
A Multiobjective Evolutionary Algorithm Based on Similarity for Community Detection From Signed Social Networks. IEEE Trans. Cybern. 44(12): 2274-2287 (2014) - [j23]Jian Xiong, Jing Liu, Yingwu Chen, Hussein A. Abbass:
A Knowledge-Based Evolutionary Multiobjective Approach for Stochastic Extended Resource Investment Project Scheduling Problems. IEEE Trans. Evol. Comput. 18(5): 742-763 (2014) - [c36]Chi Wang, Jia Liu, Maoguo Gong, Licheng Jiao, Jing Liu:
Fuzzy C-means clustering with weighted energy function in MRF for image segmentation. FUZZ-IEEE 2014: 210-215 - [c35]Yaxiong Chi, Jing Liu:
Learning large-scale fuzzy cognitive maps using a hybrid of memetic algorithm and neural network. FUZZ-IEEE 2014: 1036-1040 - [c34]Lixia Wang, Jing Liu, Mingxing Zhou:
An Organizational Cooperative Coevolutionary Algorithm for Multimode Resource-Constrained Project Scheduling Problems. SEAL 2014: 680-690 - 2013
- [j22]Weicai Zhong, Jing Liu, Li Zhang:
Evolutionary dynamics of continuous strategy games on graphs and social networks under weak selection. Biosyst. 111(2): 102-110 (2013) - [j21]Jian Xiong, Yingwu Chen, Ke-Wei Yang, Jing Liu:
A decision support model for multi-attribute group decision making using a multi-objective optimization approach. Int. J. Comput. Intell. Syst. 6(2): 337-353 (2013) - [j20]Ruochen Liu, Xiao Wang, Jing Liu, Lingfen Fang, Licheng Jiao:
A preference multi-objective optimization based on adaptive rank clone and differential evolution. Nat. Comput. 12(1): 109-132 (2013) - [j19]Weicai Zhong, Bijan Raahemi, Jing Liu:
Classifying peer-to-peer applications using imbalanced concept-adapting very fast decision tree on IP data stream. Peer-to-Peer Netw. Appl. 6(3): 233-246 (2013) - [c33]Xiaoxiao Yuan, Chuanfu Xiao, Xiyu Lv, Jing Liu:
A multi-agent genetic algorithm for resource constrained project scheduling problems. GECCO (Companion) 2013: 195-196 - [c32]Lixia Wang, Jing Liu:
A Scale-Free Based Memetic Algorithm for Resource-Constrained Project Scheduling Problems. IDEAL 2013: 202-209 - [c31]Chen Zhu, Jing Liu:
A Direction based Multi-Objective Agent Genetic Algorithm. IDEAL 2013: 210-217 - [c30]Bingqi Cai, Jing Liu:
A Study of Representations for Resource Constrained Project Scheduling Problems Using Fitness Distance Correlation. IDEAL 2013: 218-225 - 2012
- [j18]Jing Liu, Hussein A. Abbass, David G. Green, Weicai Zhong:
Motif Difficulty (MD): A Predictive Measure of Problem Difficulty for Evolutionary Algorithms Using Network Motifs. Evol. Comput. 20(3): 321-347 (2012) - [j17]Carlton Downey, Mengjie Zhang, Jing Liu:
Parallel linear genetic programming for multi-class classification. Genet. Program. Evolvable Mach. 13(3): 275-304 (2012) - [j16]Jian Xiong, Ke-Wei Yang, Jing Liu, Qing-Song Zhao, Ying-Wu Chen:
A two-stage preference-based evolutionary multi-objective approach for capability planning problems. Knowl. Based Syst. 31: 128-139 (2012) - [j15]Li Zhang, Weida Zhou, Pei-Chann Chang, Jing Liu, Zhe Yan, Ting Wang, Fanzhang Li:
Kernel Sparse Representation-Based Classifier. IEEE Trans. Signal Process. 60(4): 1684-1695 (2012) - [c29]Jing Liu, Weicai Zhong:
Continuous game dynamics on populations with a cycle structure under weak selection. IEEE Congress on Evolutionary Computation 2012: 1-6 - [c28]Wenping Ma, Yuanyuan Huang, Congling Li, Jing Liu:
Image segmentation based on a hybrid Immune Memetic Algorithm. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c27]Jing Liu:
Constrained Layout Optimization in Satellite Cabin Using a Multiagent Genetic Algorithm. SEAL 2012: 440-449 - [e4]Jing Liu, Cesare Alippi, Bernadette Bouchon-Meunier, Garrison W. Greenwood, Hussein A. Abbass:
Advances in Computational Intelligence - IEEE World Congress on Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012. Plenary/Invited Lectures. Lecture Notes in Computer Science 7311, Springer 2012, ISBN 978-3-642-30686-0 [contents] - 2011
- [j14]Jing Liu, Hussein A. Abbass, Weicai Zhong, David G. Green:
Local-Global Interaction and the Emergence of Scale-Free Networks with Community Structures. Artif. Life 17(4): 263-279 (2011) - [j13]Jing Liu, Jinshu Li, Weicai Zhong, Li Zhang, Ruochen Liu:
Minimum Span Frequency Assignment Based on a Multiagent Evolutionary Algorithm. Int. J. Swarm Intell. Res. 2(3): 29-42 (2011) - [j12]Xue Li, Jing Liu, Quan Z. Sheng, Sherali Zeadally, Weicai Zhong:
TMS-RFID: Temporal management of large-scale RFID applications. Inf. Syst. Frontiers 13(4): 481-500 (2011) - [j11]Lam Thu Bui, Jing Liu, Axel Bender, Michael Barlow, Slawomir Wesolkowski, Hussein A. Abbass:
DMEA: a direction-based multiobjective evolutionary algorithm. Memetic Comput. 3(4): 271-285 (2011) - [c26]Jiulei Geng, Jing Liu:
Image texture classification using a multiagent genetic clustering algorithm. IEEE Congress on Evolutionary Computation 2011: 504-508 - [c25]Weicai Zhong, Yang Zhang, Jing Liu:
Evolutionary dynamics of continuous strategy games on social networks under weak selection: A preliminary study. IEEE Congress on Evolutionary Computation 2011: 2514-2518 - [c24]Jian Xiong, Yingwu Chen, Jing Liu, Hussein A. Abbass:
An evolutionary multi-objective scenario-based approach for Stochastic Resource Investment Project Scheduling. IEEE Congress on Evolutionary Computation 2011: 2767-2774 - 2010
- [j10]Ruochen Liu, Licheng Jiao, Yangyang Li, Jing Liu:
An immune memory clonal algorithm for numerical and combinatorial optimization. Frontiers Comput. Sci. China 4(4): 536-559 (2010) - [j9]Jing Liu, Weicai Zhong, Licheng Jiao:
A Multiagent Evolutionary Algorithm for Combinatorial Optimization Problems. IEEE Trans. Syst. Man Cybern. Part B 40(1): 229-240 (2010) - [c23]Jing Liu, Weicai Zhong, Hussein A. Abbass, David G. Green:
Separated and overlapping community detection in complex networks using multiobjective Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c22]Wenjing Zhao, Jing Liu, Hussein A. Abbass, Axel Bender:
A multi-objective risk-based approach for airlift task scheduling using stochastic bin packing. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c21]Ruochen Liu, Qifeng Lei, Jing Liu, Licheng Jiao:
A Population Diversity-Oriented Gene Expression Programming for Function Finding. SEAL 2010: 215-219 - [c20]Xinrui Duan, Jing Liu, Li Zhang, Licheng Jiao:
Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm. SEAL 2010: 543-552 - [c19]Xinrui Duan, Jing Liu, Ruochen Liu, Licheng Jiao:
A Preference Oriented Two-Layered Multiagent Evolutionary Algorithm for Multi-Objective Job Shop Problems. SEAL 2010: 553-557
2000 – 2009
- 2009
- [j8]Bijan Raahemi, Weicai Zhong, Jing Liu:
Exploiting unlabeled data to improve peer-to-peer traffic classification using incremental tri-training method. Peer-to-Peer Netw. Appl. 2(2): 87-97 (2009) - [j7]Jing Liu, Xue Li, Weicai Zhong:
Ambiguous decision trees for mining concept-drifting data streams. Pattern Recognit. Lett. 30(15): 1347-1355 (2009) - [c18]Ding-Yi Chen, Xue Li, Jing Liu, Xia Chen:
Ranking-Constrained Keyword Sequence Extraction from Web Documents. ADC 2009: 161-169 - [c17]Jing Liu, Weicai Zhong, Licheng Jiao:
Macro-Agent Evolutionary Model for decomposable function optimization. IEEE Congress on Evolutionary Computation 2009: 62-69 - [c16]Jing Liu, Wenrong Jiang, Weicai Zhong, Licheng Jiao:
OEA_SAT: An Organizational Evolutionary Algorithm for solving SATisfiability problems. IEEE Congress on Evolutionary Computation 2009: 765-770 - [c15]Weicai Zhong, Bijan Raahemi, Jing Liu:
Learning on Class Imbalanced Data to Classify Peer-to-Peer Applications in IP Traffic using Resampling Techniques. IJCNN 2009: 3548-3554 - 2008
- [j6]Jing Liu, Weicai Zhong, Licheng Jiao, Xue Li:
Moving Block Sequence and Organizational Evolutionary Algorithm for General Floorplanning With Arbitrarily Shaped Rectilinear Blocks. IEEE Trans. Evol. Comput. 12(5): 630-646 (2008) - [c14]Bijan Raahemi, Weicai Zhong, Jing Liu:
Peer-to-Peer Traffic Identification by Mining IP Layer Data Streams Using Concept-Adapting Very Fast Decision Tree. ICTAI (1) 2008: 525-532 - [c13]Jing Liu, Weicai Zhong, Jinshu Li:
Multiagent Evolutionary Algorithm for T-coloring Problem. SEAL 2008: 289-298 - [c12]Jing Liu, Wenlong Fu, Weicai Zhong:
Hybrid Genetic Programming for Optimal Approximation of High Order and Sparse Linear Systems. SEAL 2008: 462-472 - 2007
- [j5]Jing Liu, Weicai Zhong, Licheng Jiao:
An Organizational Evolutionary Algorithm for Numerical Optimization. IEEE Trans. Syst. Man Cybern. Part B 37(4): 1052-1064 (2007) - [c11]Jinshu Li, Heyong Wang, Jing Liu, Licheng Jiao:
Solving SAT problem with a multiagent evolutionary algorithm. IEEE Congress on Evolutionary Computation 2007: 1416-1422 - [c10]Heyong Wang, Kang Hu, Jing Liu, Licheng Jiao:
Multiagent evolutionary algorithm for floorplanning using moving block sequence. IEEE Congress on Evolutionary Computation 2007: 4372-4377 - 2006
- [j4]Licheng Jiao, Jing Liu, Weicai Zhong:
An organizational coevolutionary algorithm for classification. IEEE Trans. Evol. Comput. 10(1): 67-80 (2006) - [j3]Jing Liu, Weicai Zhong, Licheng Jiao:
Comments on "The 1993 DIMACS graph coloring Challenge" and "Energy function-based approaches to graph Coloring". IEEE Trans. Neural Networks 17(2): 533 (2006) - [j2]Jing Liu, Weicai Zhong, Licheng Jiao:
A multiagent evolutionary algorithm for constraint satisfaction problems. IEEE Trans. Syst. Man Cybern. Part B 36(1): 54-73 (2006) - [c9]Kang Hu, Jinshu Li, Jing Liu, Licheng Jiao:
Permutation Flow-Shop Scheduling Based on Multiagent Evolutionary Algorithm. Australian Conference on Artificial Intelligence 2006: 917-921 - [c8]Jing Liu, Weicai Zhong:
Constrained Optimization Using Organizational Evolutionary Algorithm. SEAL 2006: 302-309 - [e3]Lipo Wang, Licheng Jiao, Guangming Shi, Xue Li, Jing Liu:
Fuzzy Systems and Knowledge Discovery, Third International Conference, FSKD 2006, Xi'an, China, September 24-28, 2006, Proceedings. Lecture Notes in Computer Science 4223, Springer 2006, ISBN 3-540-45916-2 [contents] - [e2]Licheng Jiao, Lipo Wang, Xinbo Gao, Jing Liu, Feng Wu:
Advances in Natural Computation, Second International Conference, ICNC 2006, Xi'an, China, September 24-28, 2006. Proceedings, Part I. Lecture Notes in Computer Science 4221, Springer 2006, ISBN 3-540-45901-4 [contents] - [e1]Licheng Jiao, Lipo Wang, Xinbo Gao, Jing Liu, Feng Wu:
Advances in Natural Computation, Second International Conference, ICNC 2006, Xi'an, China, September 24-28, 2006. Proceedings, Part II. Lecture Notes in Computer Science 4222, Springer 2006, ISBN 3-540-45907-3 [contents] - 2005
- [c7]Jing Liu, Weicai Zhong, Licheng Jiao:
Moving Block Sequence and Organizational Evolutionary Algorithm for General Floorplanning. CIS (1) 2005: 238-246 - [c6]Weicai Zhong, Jing Liu, Licheng Jiao:
An Agent Model for Binary Constraint Satisfaction Problems. EvoCOP 2005: 260-269 - [c5]Weicai Zhong, Jing Liu, Licheng Jiao:
Evolutionary Agents for n-Queen Problems. ICNC (3) 2005: 366-373 - [c4]Weicai Zhong, Jing Liu, Licheng Jiao:
Job-Shop Scheduling Based on Multiagent Evolutionary Algorithm. ICNC (3) 2005: 925-933 - 2004
- [j1]Weicai Zhong, Jing Liu, Mingzhi Xue, Licheng Jiao:
A multiagent genetic algorithm for global numerical optimization. IEEE Trans. Syst. Man Cybern. Part B 34(2): 1128-1141 (2004) - [c3]Weicai Zhong, Jing Liu, Licheng Jiao:
A Novel Genetic Algorithm Based on Multi-Agent Systems. Intelligent Information Systems 2004: 169-178 - [c2]Jing Liu, Weicai Zhong, Fang Liu, Licheng Jiao:
A New Data Mining Method Using Organizational Coevolutionary Mechanism. PAKDD 2004: 196-200 - [c1]Jing Liu, Weicai Zhong, Licheng Jiao, Fang Liu:
Multiobjective Optimization Based on Coevolutionary Algorithm. Rough Sets and Current Trends in Computing 2004: 774-779
Coauthor Index
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