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ORCIDKe Li 0001
Person information
- affiliation (since 2016): University of Exeter, College of Engineering, Mathematics and Physical Sciences, UK
- affiliation (2015 - 2016): University of Birmingham, UK
- affiliation (2014 - 2015): Michigan State University, East Lansing, MI, USA
- affiliation (PhD 2014): City University of Hong Kong, Hong Kong
- affiliation (2003 - 2010): Xiangtan University, Institute of Information Engineering, Hunan, China
Other persons with the same name
- Ke Li — disambiguation page
- Ke Li 0002
![[0000-0002-8660-0116]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8660-0116")
— Shandong University, School of Control Science and Engineering, Jinan, China (and 1 more) - Ke Li 0003 — Beijing Union University, College of Information Technology, China (and 2 more)
- Ke Li 0004 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- Ke Li 0005 — PLA Strategic Support Force Information Engineering University, China (and 1 more)
- Ke Li 0006 — Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, China
- Ke Li 0007 — Shandong University, School of Control Science and Engineering, Jinan, China
- Ke Li 0008 — University of Southampton, Optoelectronics Research Centre, UK
- Ke Li 0009 — Heriot-Watt University, Edinburgh, UK
- Ke Li 0010 — Fudan University, Shanghai Key Laboratory of Intelligent Information Processing, China
- Ke Li 0011 — University of California, Berkeley, USA
- Kenneth Li 0002 (aka: Ke Li 0012) — Harvard University, MA, USA
- Ke Li 0013 — Cornell University, Ithaca, NY, USA
- Ke Li 0014 — Sorbonne University, France
- Ke Li 0015 — Tencent Youtu Lab, Shanghai, China
- Ke Li 0016 — Harbin Institute of Technology, Institute for Advanced Study in Mathematics, Nangang, China (and 1 more)
- Ke Li 0017 — Naval University of Engineering, Electronic Engineering Institute, China
- Ke Li 0018 — Facebook AI, Menlo Park, CA, USA (and 1 more)
- Ke Li 0019 — University of Electronic Science and Technology of China, Chengdu, China
- Ke Li 0020 — Southwest Jiaotong University, School of Computing and Artificial Intelligence, Chengdu, China (and 1 more)
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2020 – today
- 2024
[j48]Shasha Zhou, Mingyu Huang, Yanan Sun, Ke Li:
Evolutionary Multi-objective Optimization for Contextual Adversarial Example Generation. Proc. ACM Softw. Eng. 1(FSE): 2285-2308 (2024)- [j47]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): 2482-2492 (2024) - [j46]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): 4177-4189 (2024) - [j45]Juan Zou, Ruiqing Sun, Yuan Liu, Yaru Hu, Shengxiang Yang, Jinhua Zheng, Ke Li:
A Multipopulation Evolutionary Algorithm Using New Cooperative Mechanism for Solving Multiobjective Problems With Multiconstraint. IEEE Trans. Evol. Comput. 28(1): 267-280 (2024) - [j44]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): 733-747 (2024) - [j43]Ke Li, Renzhi Chen, Xin Yao:
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments. IEEE Trans. Evol. Comput. 28(5): 1396-1411 (2024) - [j42]Jiangjiao Xu, Ke Li, Dongdong Li:
Multioutput Framework for Time-Series Forecasting in Smart Grid Meets Data Scarcity. IEEE Trans. Ind. Informatics 20(9): 11202-11212 (2024) - [c69]Heng Yang, Ke Li:
Modeling Aspect Sentiment Coherency via Local Sentiment Aggregation. EACL (Findings) 2024: 182-195 - [i40]Chengzhe Feng, Yanan Sun, Ke Li, Pan Zhou, Jiancheng Lv, Aojun Lu:
Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models. CoRR abs/2403.13588 (2024) - [i39]Mingyu Huang, Ke Li:
A Survey of Decomposition-Based Evolutionary Multi-Objective Optimization: Part II - A Data Science Perspective. CoRR abs/2404.14228 (2024) - 2023
- [j41]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: 108474 (2023) - [j40]Ke Li, Renzhi Chen:
Batched Data-Driven Evolutionary Multiobjective Optimization Based on Manifold Interpolation. IEEE Trans. Evol. Comput. 27(1): 126-140 (2023) - [j39]Ke Li, Guiyu Lai, Xin Yao:
Interactive Evolutionary Multiobjective Optimization via Learning to Rank. IEEE Trans. Evol. Comput. 27(4): 749-763 (2023) - [j38]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): 415-425 (2023) - [j37]Bo Lyu, Yin Yang, Shiping Wen, Tingwen Huang, Ke Li:
Neural Architecture Search for Portrait Parsing. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1112-1121 (2023) - [c68]Heng Yang, Ke Li:
Boosting Text Augmentation via Hybrid Instance Filtering Framework. ACL (Findings) 2023: 1652-1669 - [c67]Phoenix Neale Williams, Ke Li, Geyong Min:
A Surrogate Assisted Evolutionary Strategy for Image Approximation by Density-Ratio Estimation. CEC 2023: 1-8 - [c66]Heng Yang, Chen Zhang, Ke Li:
PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis. CIKM 2023: 5117-5122 - [c65]Phoenix Neale Williams, Ke Li:
Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation CVPR Proceedings. CVPR 2023: 12291-12301 - [c64]Heng Yang, Ke Li:
InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators. EMNLP (Findings) 2023: 13593-13602 - [c63]Renzhi Chen, Ke Li:
Data-Driven Evolutionary Multi-objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts. EMO 2023: 56-70 - [c62]Phoenix Neale Williams, Ke Li, Geyong Min:
Sparse Adversarial Attack via Bi-objective Optimization. EMO 2023: 118-133 - [c61]Mingyu Huang, Ke Li:
Exploring Structural Similarity in Fitness Landscapes via Graph Data Mining: A Case Study on Number Partitioning Problems. IJCAI 2023: 5595-5603 - [c60]Shasha Zhou, Ke Li:
Empirical Studies of Resampling Strategies in Noisy Evolutionary Multi-Objective Optimization. SMC 2023: 1715-1720 - [c59]Renzhi Chen, Ke Li:
Multioutput Surrogate Assisted Evolutionary Algorithm for Expensive Multi-Modal Optimization Problems. SMC 2023: 5176-5181 - [e2]Michael Emmerich, André H. Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, Iryna Yevseyeva:
Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings. Lecture Notes in Computer Science 13970, Springer 2023, ISBN 978-3-031-27249-3 [contents] - [i38]Heng Yang, Ke Li:
Reactive Perturbation Defocusing for Textual Adversarial Defense. CoRR abs/2305.04067 (2023) - [i37]Shengbo Wang, Ke Li, Yin Yang, Yuting Cao, Tingwen Huang, Shiping Wen:
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning. CoRR abs/2307.00828 (2023) - [i36]Huan Zhang, Jinliang Ding, Liang Feng, Kay Chen Tan, Ke Li:
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning. CoRR abs/2310.12538 (2023) - [i35]Heng Yang, Ke Li:
InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators. CoRR abs/2310.17630 (2023) - [i34]Mingyu Huang, Ke Li:
On the Hyperparameter Landscapes of Machine Learning Algorithms. CoRR abs/2311.14014 (2023) - [i33]Mingyu Huang, Ke Li:
Towards the Inferrence of Structural Similarity of Combinatorial Landscapes. CoRR abs/2312.02720 (2023) - 2022
- [j36]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): 225-235 (2022) - [j35]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): 10969-10979 (2022) - [j34]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): 115-129 (2022) - [j33]Ke Li, Haifeng Nie, Huiru Gao, Xin Yao:
Posterior Decision Making Based on Decomposition-Driven Knee Point Identification. IEEE Trans. Evol. Comput. 26(6): 1409-1423 (2022) - [c58]Phoenix Neale Williams, Ke Li, Geyong Min:
Black-box adversarial attack via overlapped shapes. GECCO Companion 2022: 467-468 - [c57]Shasha Zhou, Ke Li, Geyong Min:
Adversarial example generation via genetic algorithm: a preliminary result. GECCO Companion 2022: 469-470 - [c56]Ke Li, Qingfu Zhang:
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion 2022: 1554-1571 - [c55]Shuang Li, Ke Li, Wei Li:
Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-objective Optimization? PPSN (2) 2022: 124-137 - [c54]Shasha Zhou, Ke Li, Geyong Min:
Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing. PPSN (1) 2022: 341-355 - [i32]Jiangjiao Xu, Ke Li:
Automated Few-Shot Time Series Forecasting based on Bi-level Programming. CoRR abs/2203.03328 (2022) - [i31]Phoenix Neale Williams, Ke Li:
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art. CoRR abs/2203.04405 (2022) - [i30]Ke Li, Guiyu Lai, Xin Yao:
Interactive Evolutionary Multi-Objective Optimization via Learning-to-Rank. CoRR abs/2204.02604 (2022) - [i29]Renzhi Chen, Ke Li:
Data-Driven Evolutionary Multi-Objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts. CoRR abs/2205.14344 (2022) - [i28]Ke Li, Heng Yang, Willem Visser:
Evolutionary Multi-Task Injection Testing on Web Application Firewalls. CoRR abs/2206.05743 (2022) - [i27]Heng Yang, Ke Li:
PyABSA: Open Framework for Aspect-based Sentiment Analysis. CoRR abs/2208.01368 (2022) - [i26]Heng Yang, Ke Li:
Augmentor or Filter? Reconsider the Role of Pre-trained Language Model in Text Classification Augmentation. CoRR abs/2210.02941 (2022) - [i25]Ke Li, Renzhi Chen, Xin Yao:
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments. CoRR abs/2211.02879 (2022) - 2021
- [j32]Ran Wang, Suhe Ye, Ke Li, Sam Kwong:
Bayesian network based label correlation analysis for multi-label classifier chain. Inf. Sci. 554: 256-275 (2021) - [j31]Lingjie Li, Qiuzhen Lin, Ke Li, Zhong Ming:
Vertical distance-based clonal selection mechanism for the multiobjective immune algorithm. Swarm Evol. Comput. 63: 100886 (2021) - [c53]Guiyu Lai, Minhui Liao, Ke Li:
Empirical Studies on the Role of the Decision Maker in Interactive Evolutionary Multi-Objective Optimization. CEC 2021: 185-192 - [c52]Xinyu Shan, Ke Li:
An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-objective Optimization. EMO 2021: 235-247 - [c51]Jiangjiao Xu, Ke Li, Mohammad Abusara:
Multi-objective Reinforcement Learning Based Multi-microgrid System Optimisation Problem. EMO 2021: 684-696 - [c50]Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas:
Parallel Algorithms for the Multiobjective Virtual Network Function Placement Problem. EMO 2021: 708-720 - [c49]Longfei Zhang, Ke Li, Shi Gu:
Empirical study of correlations in the fitness landscapes of combinatorial optimization problems. GECCO Companion 2021: 247-248 - [c48]Ke Li, Qingfu Zhang:
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion 2021: 881-898 - [c47]Renzhi Chen, Ke Li:
Knee Point Identification Based on the Geometric Characteristic. SMC 2021: 764-769 - [c46]Phoenix Neale Williams, Ke Li, Geyong Min:
Large-Scale Evolutionary Optimization via Multi-Task Random Grouping. SMC 2021: 778-783 - [c45]Renzhi Chen, Ke Li:
Transfer Bayesian Optimization for Expensive Black-Box Optimization in Dynamic Environment. SMC 2021: 1374-1379 - [c44]Jiangjiao Xu, Ke Li, Mohammad Abusara, Yan Zhang:
ADMM-based OPF Problem Against Cyber Attacks in Smart Grid. SMC 2021: 1418-1423 - [c43]Savas Yuce, Ke Li:
An Enhancement of the NSGA-II Reliability Optimization Using Extended Kalman Filter Based Initialization. UKCI 2021: 121-128 - [e1]Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou:
Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings. Lecture Notes in Computer Science 12654, Springer 2021, ISBN 978-3-030-72061-2 [contents] - [i24]Jiangjiao Xu, Ke Li, Mohammad Abusara:
Multi-Objective Reinforcement Learning based Multi-Microgrid System Optimisation Problem. CoRR abs/2103.06380 (2021) - [i23]Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas:
Evolutionary Multi-Objective Virtual Network Function Placement: A Formal Model and Effective Algorithms. CoRR abs/2106.14727 (2021) - [i22]Ke Li, Renzhi Chen:
Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation. CoRR abs/2109.05639 (2021) - [i21]Bo Lyu, Shiping Wen, Zheng Yan, Kaibo Shi, Ke Li, Tingwen Huang:
TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework. CoRR abs/2111.03892 (2021) - 2020
- [j30]Mengyuan Wu, Ke Li, Sam Kwong, Qingfu Zhang:
Evolutionary Many-Objective Optimization Based on Adversarial Decomposition. IEEE Trans. Cybern. 50(2): 753-764 (2020) - [j29]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): 1078-1096 (2020) - [c42]Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas:
Routing-Led Placement of VNFs in Arbitrary Networks. CEC 2020: 1-8 - [c41]Xuezhou Fan, Ke Li, Kay Chen Tan:
Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning for Dynamic Expensive Multi-Objective Optimisation Problems. CEC 2020: 1-8 - [c40]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: 131-147 - [c39]Xiaoran Ruan, Ke Li, Bilel Derbel, Arnaud Liefooghe:
Surrogate assisted evolutionary algorithm for medium scale multi-objective optimisation problems. GECCO 2020: 560-568 - [c38]Ke Li, Qingfu Zhang, Saúl Zapotecas Martínez:
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion 2020: 859-876 - [c37]Joseph Billingsley, Wang Miao, Ke Li, Geyong Min, Nektarios Georgalas:
Performance Analysis of SDN and NFV enabled Mobile Cloud Computing. GLOBECOM 2020: 1-6 - [c36]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: 566-577 - [c35]Muyang Liu, Ke Li, Tao Chen:
DeepSQLi: deep semantic learning for testing SQL injection. ISSTA 2020: 286-297 - [c34]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: 573-584 - [c33]Lei Sun, Ke Li:
Adaptive Operator Selection Based on Dynamic Thompson Sampling for MOEA/D. PPSN (2) 2020: 271-284 - [c32]Haifeng Nie, Huiru Gao, Ke Li:
Knee Point Identification Based on Voronoi Diagram. SMC 2020: 1081-1086 - [i20]Tao Chen, Miqing Li, Ke Li, Kalyanmoy Deb:
Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities. CoRR abs/2001.08236 (2020) - [i19]Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas:
Routing-Led Placement of VNFs in Arbitrary Networks. CoRR abs/2001.11565 (2020) - [i18]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 abs/2002.03148 (2020) - [i17]Xiaoran Ruan, Ke Li, Bilel Derbel, Arnaud Liefooghe:
Surrogate Assisted Evolutionary Algorithm for Medium Scale Expensive Multi-Objective Optimisation Problems. CoRR abs/2002.03150 (2020) - [i16]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 abs/2004.06961 (2020) - [i15]Lei Sun, Ke Li:
Adaptive Operator Selection Based on Dynamic Thompson Sampling for MOEA/D. CoRR abs/2004.10874 (2020) - [i14]Ke Li, Haifeng Nie, Huiru Gao, Xin Yao:
Knee Point Identification Based on Trade-Off Utility. CoRR abs/2005.11600 (2020) - [i13]Muyang Liu, Ke Li, Tao Chen:
DeepSQLi: Deep Semantic Learning for Testing SQL Injection. CoRR abs/2005.11728 (2020) - [i12]Ke Li, Zilin Xiang, Tao Chen, Kay Chen Tan:
BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. CoRR abs/2008.13489 (2020)
2010 – 2019
- 2019
- [j28]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: 33-43 (2019) - [j27]Ke Li, Renzhi Chen, Guangtao Fu, Xin Yao:
Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(2): 303-315 (2019) - [j26]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): 376-390 (2019) - [j25]Ke Li, Renzhi Chen, Dragan A. Savic, Xin Yao:
Interactive Decomposition Multiobjective Optimization Via Progressively Learned Value Functions. IEEE Trans. Fuzzy Syst. 27(5): 849-860 (2019) - [c31]Huiru Gao, Haifeng Nie, Ke Li:
Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons. CEC 2019: 1750-1757 - [c30]Ke Li, Zilin Xiang, Kay Chen Tan:
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. CEC 2019: 1988-1995 - [c29]Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas:
A Formal Model for Multi-objective Optimisation of Network Function Virtualisation Placement. EMO 2019: 529-540 - [c28]Ke Li:
Progressive Preference Learning: Proof-of-Principle Results in MOEA/D. EMO 2019: 631-643 - [c27]Muyang Liu, Ke Li, Tao Chen:
Security testing of web applications: a search-based approach for detecting SQL injection vulnerabilities. GECCO (Companion) 2019: 417-418 - [c26]Ke Li, Qingfu Zhang:
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO (Companion) 2019: 1002-1031 - [i11]Ke Li, Zilin Xiang, Kay Chen Tan:
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. CoRR abs/1901.11120 (2019) - [i10]Huiru Gao, Haifeng Nie, Ke Li:
Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons. CoRR abs/1903.01768 (2019) - [i9]Ran Wang, Suhe Ye, Ke Li, Sam Kwong:
Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain. CoRR abs/1908.02172 (2019) - [i8]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 abs/1909.13567 (2019) - 2018
- [j24]Jian Sun, Siyu Sun, Ke Li, Dan Liao, Arun Kumar Sangaiah, Victor I. Chang:
Efficient algorithm for traffic engineering in Cloud-of-Things and edge computing. Comput. Electr. Eng. 69: 610-627 (2018) - [j23]Ke Li, Renzhi Chen, Geyong Min, Xin Yao:
Integration of Preferences in Decomposition Multiobjective Optimization. IEEE Trans. Cybern. 48(12): 3359-3370 (2018) - [j22]Renzhi Chen, Ke Li, Xin Yao:
Dynamic Multiobjectives Optimization With a Changing Number of Objectives. IEEE Trans. Evol. Comput. 22(1): 157-171 (2018) - [j21]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): 692-706 (2018) - [j20]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): 821-835 (2018) - [j19]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): 5:1-5:50 (2018) - [c25]Ke Li, Qingfu Zhang:
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO (Companion) 2018: 907-936 - [c24]Satish Kumar, Rami Bahsoon, Tao Chen, Ke Li, Rajkumar Buyya:
Multi-Tenant Cloud Service Composition Using Evolutionary Optimization. ICPADS 2018: 972-979 - [i7]Ke Li, Renzhi Chen, Dragan A. Savic, Xin Yao:
Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions. CoRR abs/1801.00609 (2018) - 2017
- [j18]Haoran Xie, Fu Lee Wang, Xudong Mao, Ke Li, Qing Li, Handing Wang:
Recent advances in semantic computing and personalization. Neurocomputing 254: 1-2 (2017) - [j17]