Jing Liu

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 115

Top Venues

CEC

IEEE Trans. Fuzzy Syst.

IEEE Trans. Evol. Comput.

CoRR

Publications

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 (2024)
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) (2024)
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) (2024)
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) (2024)
Yingzhi Teng, Jing Liu, Kai Wu, Yang Liu, Baihao Qiao
Multivariate time series clustering based on fuzzy cognitive maps and community detection. Neurocomputing 590 (2024)
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 (2024)
Yingzhi Teng, Kai Wu, Jing Liu
Causal Discovery From Abundant but Noisy Fuzzy Cognitive Map Set. IEEE Trans. Fuzzy Syst. 32 (7) (2024)
Zhiwei Yang, Jing Liu, Peng Wu
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection. CoRR (2024)
Yilu Liu, Jing Liu, Kai Wu
Cost-effective competition on social networks: A multi-objective optimization perspective. Inf. Sci. 620 (2023)
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) (2023)
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) (2023)
Xiaobin Li, Kai Wu, Xiaoyu Zhang, Handing Wang, Jing Liu
B2Opt: Learning to Optimize Black-box Optimization with Little Budget. CoRR (2023)
Peng Wu, Xiaotao Liu, Jing Liu
Weakly Supervised Audio-Visual Violence Detection. IEEE Trans. Multim. 25 (2023)
Yuanyuan Li, Kai Wu, Jing Liu
Discover governing differential equations from evolving systems. CoRR (2023)
Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang, Jing Liu
Closed-form Machine Unlearning for Matrix Factorization. CIKM (2023)
Yitong Li, Kai Wu, Jing Liu
Self-paced ARIMA for robust time series prediction. Knowl. Based Syst. 269 (2023)
Kai Wu, Chao Wang, Jing Liu
Evolutionary Multitasking Multilayer Network Reconstruction. IEEE Trans. Cybern. 52 (12) (2022)
Chao Wang, Kai Wu, Jing Liu
Evolutionary Multitasking AUC Optimization [Research Frontier]. IEEE Comput. Intell. Mag. 17 (2) (2022)
Kai Wu, Kaixin Yuan, Yingzhi Teng, Jing Liu, Licheng Jiao
Broad fuzzy cognitive map systems for time series classification. Appl. Soft Comput. 128 (2022)
Baihao Qiao, Jing Liu, Jiajia Huan
Multi-objective economic emission dispatch of thermal power-electric vehicles considering user's revenue. Soft Comput. 26 (22) (2022)
Yilu Liu, Jing Liu, Xiangyi Teng
Single-particle optimization for network embedding preserving both local and global information. Swarm Evol. Comput. 71 (2022)
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 (2022)
Zhiwei Yang, Peng Wu, Jing Liu, Xiaotao Liu
Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection. ECCV (4) (2022)
Zhiwei Yang, Peng Wu, Jing Liu, Xiaotao Liu
Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection. CoRR (2022)
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 (2022)
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) (2022)
Yifan Li, Jing Liu, Yingzhi Teng
A decomposition-based memetic neural architecture search algorithm for univariate time series forecasting. Appl. Soft Comput. 130 (2022)
Kai Wu, Xingxing Hao, Jing Liu, Penghui Liu, Fang Shen
Online Reconstruction of Complex Networks From Streaming Data. IEEE Trans. Cybern. 52 (6) (2022)
Kai Wu, Xiangyi Teng, Jing Liu
Locating Hidden Sources in Evolutionary Games Based on Fuzzy Cognitive Map. ChineseCSCW (2) (2021)
Chao Wang, Jing Liu, Kai Wu, Chaolong Ying
Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm. Appl. Soft Comput. 108 (2021)
Kai Wu, Jing Liu, Penghui Liu, Fang Shen
Online Fuzzy Cognitive Map Learning. IEEE Trans. Fuzzy Syst. 29 (7) (2021)
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 (2021)
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)
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) (2021)
Xingxing Hao, Rong Qu, Jing Liu
A Unified Framework of Graph-Based Evolutionary Multitasking Hyper-Heuristic. IEEE Trans. Evol. Comput. 25 (1) (2021)
Yating Cao, Jing Liu, Zhouwu Xu
A Dynamic Multiagent Genetic Algorithm for Optimal Charging in Wireless Rechargeable Sensor Networks. CEC (2021)
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 (2021)
Fang Shen, Jing Liu, Kai Wu
Evolutionary multitasking network reconstruction from time series with online parameter estimation. Knowl. Based Syst. 222 (2021)
Zhiwei Yang, Jing Liu, Peng Wu
Bidirectional Retrospective Generation Adversarial Network for Anomaly Detection in Videos. IEEE Access 9 (2021)
Peng Wu, Xiangteng He, Mingqian Tang, Yiliang Lv, Jing Liu
HANet: Hierarchical Alignment Networks for Video-Text Retrieval. CoRR (2021)
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) (2021)
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) (2021)
Peng Wu, Jing Liu
Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection. IEEE Trans. Image Process. 30 (2021)
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) (2021)
Shuai Wang, Jing Liu, Yaochu Jin
A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization. IEEE Trans. Evol. Comput. 25 (3) (2021)
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) (2021)
Peng Wu, Xiangteng He, Mingqian Tang, Yiliang Lv, Jing Liu
HANet: Hierarchical Alignment Networks for Video-Text Retrieval. ACM Multimedia (2021)
Yutong Zhang, Jing Liu
Emergency Logistics Scheduling Under Uncertain Transportation Time Using Online Optimization Methods. IEEE Access 9 (2021)
Junyuan Chen, Jing Liu
A Memetic Algorithm for Optimizing Inter-links to Enhance the Robustness of Interdependent Networks Against Malicious Attacks. CEC (2021)
Shuai Wang, Jing Liu, Yaochu Jin
Finding Influential Nodes in Multiplex Networks Using a Memetic Algorithm. IEEE Trans. Cybern. 51 (2) (2021)
Kai Wu, Jing Liu, Chao Wang, Kaixin Yuan
Pareto Optimization for Influence Maximization in Social Networks. EMO (2021)
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) (2020)
Fang Shen, Jing Liu, Kai Wu
Evolutionary multitasking fuzzy cognitive map learning. Knowl. Based Syst. 192 (2020)
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 (2020)
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) (2020)
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 (2020)
Xiangyi Teng, Jing Liu
Atrributed Graph Embedding Based on Multiobjective Evolutionary Algorithm for Overlapping Community Detection. CEC (2020)
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)
Shuai Wang, Jing Liu, Yaochu Jin
Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding. IEEE Trans. Evol. Comput. 24 (4) (2020)
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 (2020)
Shanchao Yang, Jing Liu, Kai Wu, Mingming Li
Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets. CoRR (2020)
Kai Wu, Jing Liu
Multi-objective Evolutionary Top Rank Optimization with Pareto Ensemble. SSCI (2020)
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) (2020)
Shuai Wang, Jing Liu, Yaochu Jin
Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm. IEEE Comput. Intell. Mag. 15 (2) (2020)
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 (2020)
Mingming Li, Jing Liu, Peng Wu, Xiangyi Teng
Evolutionary Network Embedding Preserving Both Local Proximity and Community Structure. IEEE Trans. Evol. Comput. 24 (3) (2020)
Peng Wu, Jing Liu, Mingming Li, Yujia Sun, Fang Shen
Fast sparse coding networks for anomaly detection in videos. Pattern Recognit. 107 (2020)
Penghui Liu, Jing Liu, Kai Wu
CNN-FCM: System modeling promotes stability of deep learning in time series prediction. Knowl. Based Syst. 203 (2020)
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) (2020)
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 (2020)
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) (2019)
Kai Wu, Jing Liu, Dan Chen
Network reconstruction based on time series via memetic algorithm. Knowl. Based Syst. 164 (2019)
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) (2019)
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) (2019)
Shuai Wang, Jing Liu
Constructing Robust Community Structure Against Edge-Based Attacks. IEEE Syst. J. 13 (1) (2019)
Shuai Wang, Jing Liu
Designing comprehensively robust networks against intentional attacks and cascading failures. Inf. Sci. 478 (2019)
Ze Yang, Jing Liu, Kai Wu
Learning of Boosting Fuzzy Cognitive Maps Using a Real-coded Genetic Algorithm. CEC (2019)
Kai Wu, Jing Liu
Classification-based Optimization with Multi-Fidelity Evaluations. CEC (2019)
Yaxiong Chi, Jing Liu
Reconstructing gene regulatory networks with a memetic-neural hybrid based on fuzzy cognitive maps. Nat. Comput. 18 (2) (2019)
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 (2018)
Shanchao Yang, Jing Liu
Time-Series Forecasting Based on High-Order Fuzzy Cognitive Maps and Wavelet Transform. IEEE Trans. Fuzzy Syst. 26 (6) (2018)
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)
Jie Yang, Jing Liu
Influence Maximization-Cost Minimization in Social Networks Based on a Multiobjective Discrete Particle Swarm Optimization Algorithm. IEEE Access 6 (2018)
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) (2018)
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) (2018)
Fang Shen, Jing Liu, Peng Wu
Double δ-LBP: A Novel Feature Extraction Method for Facial Expression Recognition. IGTA (2018)
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) (2018)
Shuai Wang, Jing Liu
Enhancing the robustness of complex networks against edge-based-attack cascading failures. CEC (2017)
Jinhuang Huang, Jing Liu, Xin Yao
A multi-agent evolutionary algorithm for software module clustering problems. Soft Comput. 21 (12) (2017)
Meining Liu, Jing Liu, Xingxing Hao
A differential evolution algorithm for the resource investment problem with discounted cash flows. CASE (2017)
Xingxing Hao, Jing Liu
A multiagent evolutionary algorithm with direct and indirect combined representation for constraint satisfaction problems. Soft Comput. 21 (3) (2017)
Xiaodong Wang, Jing Liu
A Memetic Algorithm for Community Detection in Bipartite Networks. ICONIP (4) (2017)
Kai Wu, Jing Liu
Evolutionary Game Network Reconstruction by Memetic Algorithm with l 1/2 Regularization. SEAL (2017)
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) (2017)
Kai Wu, Jing Liu
Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization. SEAL (2017)
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) (2017)
Xingxing Hao, Jing Liu, Zhenkun Wang
An improved global replacement strategy for MOEA/D on many-objective kanpsack problems. CASE (2017)
Jing Liu, Mingxing Zhou, Shuai Wang, Penghui Liu
A comparative study of network robustness measures. Frontiers Comput. Sci. 11 (4) (2017)
Shuai Wang, Jing Liu
A multi-agent genetic algorithm for improving the robustness of communities in complex networks against attacks. CEC (2017)
Xumiao Zou, Jing Liu
Learning Fuzzy Cognitive Maps Using a Genetic Algorithm with Decision-Making Trial and Evaluation. SEAL (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jing Liu