Ke Li

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 97

Top Venues

CoRR

IEEE Trans. Evol. Comput.

CEC

EMO

Publications

Lei Chen, Hai-Lin Liu, Ke Li, Kay Chen Tan
Evolutionary Bilevel Optimization via Multiobjective Transformation-Based Lower-Level Search. IEEE Trans. Evol. Comput. 28 (3) (2024)
Jiaxin Chen, Jinliang Ding, Ke Li, Kay Chen Tan, Tianyou Chai
A Knee Point Driven Evolutionary Algorithm for Multiobjective Bilevel Optimization. IEEE Trans. Cybern. 54 (7) (2024)
Chengzhe Feng, Yanan Sun, Ke Li, Pan Zhou, Jiancheng Lv, Aojun Lu
Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models. CoRR (2024)
Jiangjiao Xu, Ke Li, Dongdong Li
An Automated Few-Shot Learning for Time-Series Forecasting in Smart Grid Under Data Scarcity. IEEE Trans. Artif. Intell. 5 (6) (2024)
Mingyu Huang, Ke Li
A Survey of Decomposition-Based Evolutionary Multi-Objective Optimization: Part II - A Data Science Perspective. CoRR (2024)
Shasha Zhou, Mingyu Huang, Yanan Sun, Ke Li
Evolutionary Multi-objective Optimization for Contextual Adversarial Example Generation. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Heng Yang, Ke Li
Modeling Aspect Sentiment Coherency via Local Sentiment Aggregation. EACL (Findings) (2024)
Ke Li, Guiyu Lai, Xin Yao
Interactive Evolutionary Multiobjective Optimization via Learning to Rank. IEEE Trans. Evol. Comput. 27 (4) (2023)
Phoenix Neale Williams, Ke Li, Geyong Min
Sparse Adversarial Attack via Bi-objective Optimization. EMO (2023)
Renzhi Chen, Ke Li
Multioutput Surrogate Assisted Evolutionary Algorithm for Expensive Multi-Modal Optimization Problems. SMC (2023)
Shasha Zhou, Ke Li
Empirical Studies of Resampling Strategies in Noisy Evolutionary Multi-Objective Optimization. SMC (2023)
Bo Lyu, Longfei Lu, Maher Hamdi, Shiping Wen, Yin Yang, Ke Li
MTLP-JR: Multi-task learning-based prediction for joint ranking in neural architecture search. Comput. Electr. Eng. 105 (2023)
Bo Lyu, Yin Yang, Shiping Wen, Tingwen Huang, Ke Li
Neural Architecture Search for Portrait Parsing. IEEE Trans. Neural Networks Learn. Syst. 34 (3) (2023)
Renzhi Chen, Ke Li
Data-Driven Evolutionary Multi-objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts. EMO (2023)
Bo Lyu, Maher Hamdi, Yin Yang, Yuting Cao, Zheng Yan, Ke Li, Shiping Wen, Tingwen Huang
Efficient Spectral Graph Convolutional Network Deployment on Memristive Crossbars. IEEE Trans. Emerg. Top. Comput. Intell. 7 (2) (2023)
Ke Li, Renzhi Chen
Batched Data-Driven Evolutionary Multiobjective Optimization Based on Manifold Interpolation. IEEE Trans. Evol. Comput. 27 (1) (2023)
Phoenix Neale Williams, Ke Li, Geyong Min
A Surrogate Assisted Evolutionary Strategy for Image Approximation by Density-Ratio Estimation. CEC (2023)
Huan Zhang, Jinliang Ding, Liang Feng, Kay Chen Tan, Ke Li
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning. CoRR (2023)
Phoenix Neale Williams, Ke Li
Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation CVPR Proceedings. CVPR (2023)
Heng Yang, Chen Zhang, Ke Li
PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis. CIKM (2023)
Shuang Li, Ke Li, Wei Li
Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-objective Optimization? PPSN (2) (2022)
Phoenix Neale Williams, Ke Li
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art. CoRR (2022)
Shasha Zhou, Ke Li, Geyong Min
Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing. PPSN (1) (2022)
Ke Li, Renzhi Chen, Xin Yao
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments. CoRR (2022)
Jiangjiao Xu, Ke Li, Mohammad Abusara
Preference based multi-objective reinforcement learning for multi-microgrid system optimization problem in smart grid. Memetic Comput. 14 (2) (2022)
Shasha Zhou, Ke Li, Geyong Min
Adversarial example generation via genetic algorithm: a preliminary result. GECCO Companion (2022)
Phoenix Neale Williams, Ke Li, Geyong Min
Black-box adversarial attack via overlapped shapes. GECCO Companion (2022)
Lei Chen, Hai-Lin Liu, Kay Chen Tan, Ke Li
Transfer Learning-Based Parallel Evolutionary Algorithm Framework for Bilevel Optimization. IEEE Trans. Evol. Comput. 26 (1) (2022)
Jia Wu, Chunbo Luo, Yang Luo, Ke Li
Distributed UAV Swarm Formation and Collision Avoidance Strategies Over Fixed and Switching Topologies. IEEE Trans. Cybern. 52 (10) (2022)
Ke Li, Qingfu Zhang
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion (2022)
Renzhi Chen, Ke Li
Data-Driven Evolutionary Multi-Objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts. CoRR (2022)
Jiangjiao Xu, Ke Li
Automated Few-Shot Time Series Forecasting based on Bi-level Programming. CoRR (2022)
Ke Li, Haifeng Nie, Huiru Gao, Xin Yao
Posterior Decision Making Based on Decomposition-Driven Knee Point Identification. IEEE Trans. Evol. Comput. 26 (6) (2022)
Ke Li, Renzhi Chen
Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation. CoRR (2021)
Renzhi Chen, Ke Li
Knee Point Identification Based on the Geometric Characteristic. SMC (2021)
Lingjie Li, Qiuzhen Lin, Ke Li, Zhong Ming
Vertical distance-based clonal selection mechanism for the multiobjective immune algorithm. Swarm Evol. Comput. 63 (2021)
Ke Li, Qingfu Zhang
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion (2021)
Jiangjiao Xu, Ke Li, Mohammad Abusara
Multi-objective Reinforcement Learning Based Multi-microgrid System Optimisation Problem. EMO (2021)
Renzhi Chen, Ke Li
Transfer Bayesian Optimization for Expensive Black-Box Optimization in Dynamic Environment. SMC (2021)
Guiyu Lai, Minhui Liao, Ke Li
Empirical Studies on the Role of the Decision Maker in Interactive Evolutionary Multi-Objective Optimization. CEC (2021)
Ran Wang, Suhe Ye, Ke Li, Sam Kwong
Bayesian network based label correlation analysis for multi-label classifier chain. Inf. Sci. 554 (2021)
Xinyu Shan, Ke Li
An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-objective Optimization. EMO (2021)
Savas Yuce, Ke Li
An Enhancement of the NSGA-II Reliability Optimization Using Extended Kalman Filter Based Initialization. UKCI (2021)
Ke Li, Zilin Xiang, Tao Chen, Kay Chen Tan
BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. ASE (2020)
Lei Sun, Ke Li
Adaptive Operator Selection Based on Dynamic Thompson Sampling for MOEA/D. CoRR (2020)
Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang
On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D. EvoCOP (2020)
Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas
Routing-Led Placement of VNFs in Arbitrary Networks. CEC (2020)
Muyang Liu, Ke Li, Tao Chen
DeepSQLi: Deep Semantic Learning for Testing SQL Injection. CoRR (2020)
Ke Li, Qingfu Zhang, Saúl Zapotecas Martínez
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion (2020)
Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan
Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study. ICSE (2020)
Ke Li, Haifeng Nie, Huiru Gao, Xin Yao
Knee Point Identification Based on Trade-Off Utility. CoRR (2020)
Muyang Liu, Ke Li, Tao Chen
DeepSQLi: deep semantic learning for testing SQL injection. ISSTA (2020)
Tao Chen, Miqing Li, Ke Li, Kalyanmoy Deb
Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities. CoRR (2020)
Ke Li, Zilin Xiang, Tao Chen, Kay Chen Tan
BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. CoRR (2020)
Xuezhou Fan, Ke Li, Kay Chen Tan
Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning for Dynamic Expensive Multi-Objective Optimisation Problems. CEC (2020)
Lei Sun, Ke Li
Adaptive Operator Selection Based on Dynamic Thompson Sampling for MOEA/D. PPSN (2) (2020)
Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas
Routing-Led Placement of VNFs in Arbitrary Networks. CoRR (2020)
Ke Li, Minhui Liao, Kalyanmoy Deb, Geyong Min, Xin Yao
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multiobjective Optimization Using Reference Points. IEEE Trans. Evol. Comput. 24 (6) (2020)
Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang
On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D. CoRR (2020)
Mengyuan Wu, Ke Li, Sam Kwong, Qingfu Zhang
Evolutionary Many-Objective Optimization Based on Adversarial Decomposition. IEEE Trans. Cybern. 50 (2) (2020)
Haifeng Nie, Huiru Gao, Ke Li
Knee Point Identification Based on Voronoi Diagram. SMC (2020)
Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan
Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. CoRR (2020)
Ke Li, Zilin Xiang, Kay Chen Tan
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. CoRR (2019)
Ke Li
Progressive Preference Learning: Proof-of-Principle Results in MOEA/D. EMO (2019)
Mengyuan Wu, Ke Li, Sam Kwong, Qingfu Zhang, Jun Zhang
Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization. IEEE Trans. Evol. Comput. 23 (3) (2019)
Juan Zou, Chunhui Ji, Shengxiang Yang, Yuping Zhang, Jinhua Zheng, Ke Li
A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization. Swarm Evol. Comput. 47 (2019)
Ke Li, Zilin Xiang, Kay Chen Tan
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. CEC (2019)
Ke Li, Qingfu Zhang
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO (Companion) (2019)
Muyang Liu, Ke Li, Tao Chen
Security testing of web applications: a search-based approach for detecting SQL injection vulnerabilities. GECCO (Companion) (2019)
Ke Li, Renzhi Chen, Guangtao Fu, Xin Yao
Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 23 (2) (2019)
Huiru Gao, Haifeng Nie, Ke Li
Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons. CEC (2019)
Ke Li, Minhui Liao, Kalyanmoy Deb, Geyong Min, Xin Yao
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points. CoRR (2019)
Ke Li, Renzhi Chen, Dragan A. Savic, Xin Yao
Interactive Decomposition Multiobjective Optimization Via Progressively Learned Value Functions. IEEE Trans. Fuzzy Syst. 27 (5) (2019)
Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas
A Formal Model for Multi-objective Optimisation of Network Function Virtualisation Placement. EMO (2019)
Ran Wang, Suhe Ye, Ke Li, Sam Kwong
Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain. CoRR (2019)
Huiru Gao, Haifeng Nie, Ke Li
Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons. CoRR (2019)
Ke Li, Kalyanmoy Deb, Xin Yao
R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points. IEEE Trans. Evol. Comput. 22 (6) (2018)
Tao Chen, Ke Li, Rami Bahsoon, Xin Yao
FEMOSAA: Feature-Guided and Knee-Driven Multi-Objective Optimization for Self-Adaptive Software. ACM Trans. Softw. Eng. Methodol. 27 (2) (2018)
Ran Cheng, Miqing Li, Ke Li, Xin Yao
Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection. IEEE Trans. Evol. Comput. 22 (5) (2018)
Ke Li, Renzhi Chen, Dragan A. Savic, Xin Yao
Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions. CoRR (2018)
Ke Li, Qingfu Zhang
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO (Companion) (2018)
Ke Li, Renzhi Chen, Geyong Min, Xin Yao
Integration of Preferences in Decomposition Multiobjective Optimization. IEEE Trans. Cybern. 48 (12) (2018)
Satish Kumar, Rami Bahsoon, Tao Chen, Ke Li, Rajkumar Buyya
Multi-Tenant Cloud Service Composition Using Evolutionary Optimization. ICPADS (2018)
Renzhi Chen, Ke Li, Xin Yao
Dynamic Multiobjectives Optimization With a Changing Number of Objectives. IEEE Trans. Evol. Comput. 22 (1) (2018)
Ke Li, Kalyanmoy Deb, Xin Yao
Integration of Preferences in Decomposition Multi-Objective Optimization. CoRR (2017)
Haoran Xie, Fu Lee Wang, Xudong Mao, Ke Li, Qing Li, Handing Wang
Recent advances in semantic computing and personalization. Neurocomputing 254 (2017)
Ke Li, Renzhi Chen, Guangtao Fu, Xin Yao
Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization. CoRR (2017)
Mengyuan Wu, Sam Kwong, Yuheng Jia, Ke Li, Qingfu Zhang
Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression. GECCO (2017)
Mengyuan Wu, Ke Li, Sam Kwong, Qingfu Zhang
Evolutionary Many-Objective Optimization Based on Adversarial Decomposition. CoRR (2017)
Mengyuan Wu, Ke Li, Sam Kwong, Yu Zhou, Qingfu Zhang
Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization. IEEE Trans. Evol. Comput. 21 (4) (2017)
Ke Li, Kalyanmoy Deb, Qingfu Zhang, Qiang Zhang
Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 47 (9) (2017)
Ke Li, Kalyanmoy Deb, Okkes Tolga Altinöz, Xin Yao
Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results. EMO (2017)
Renzhi Chen, Ke Li, Xin Yao
Dynamic Multi-Objectives Optimization with a Changing Number of Objectives. CoRR (2016)
Tao Chen, Ke Li, Rami Bahsoon, Xin Yao
FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software at Runtime. CoRR (2016)
Ke Li, Mohammad Nabi Omidvar, Kalyanmoy Deb, Xin Yao
Variable Interaction in Multi-objective Optimization Problems. PPSN (2016)
Haoran Xie, Xiaodong Li, Tao Wang, Li Chen, Ke Li, Fu Lee Wang, Yi Cai, Qing Li, Huaqing Min
Personalized search for social media via dominating verbal context. Neurocomputing 172 (2016)
Mengyuan Wu, Ke Li, Sam Kwong, Yu Zhou, Qingfu Zhang
Adaptive Two-Level Matching-Based Selection for Decomposition Multi-Objective Optimization. CoRR (2016)
Mengyuan Wu, Sam Kwong, Qingfu Zhang, Ke Li, Ran Wang, Bo Liu
Two-Level Stable Matching-Based Selection in MOEA/D. SMC (2015)
Ke Li, Sam Kwong, Qingfu Zhang, Kalyanmoy Deb
Interrelationship-Based Selection for Decomposition Multiobjective Optimization. IEEE Trans. Cybern. 45 (10) (2015)
Ke Li, Kalyanmoy Deb, Qingfu Zhang
Evolutionary multiobjective optimization with hybrid selection principles. CEC (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ke Li