An Improved Differential Evolution for Multi-objective Optimization. - Ke Li 001; Jinhua Zheng; Cong Zhou; Hui Lv 001 (CSIE (4), 2009)

The Convergence Analysis of Genetic Algorithm Based on Space Mating. - Hui Lv 001; Jinhua Zheng; Jun Wu; Cong Zhou; Ke Li 001 (ICNC (3), 2009)

Objective Reduction Based on the Least Square Method for Large-Dimensional Multi-objective Optimization Problem. - Cong Zhou; Jinhua Zheng; Ke Li 001; Hui Lv 001 (ICNC (4), 2009)

An Spanning Tree Based Method For Pruning Non-Dominated Solutions in Multi-Objective Optimization Problems. - Miqing Li; Jinhua Zheng; Ke Li 001; Jun Wu; Guixia Xiao (SMC, 2009)

A Novel Algorithm for Non-dominated Hypervolume-based Multiobjective Optimization. - Ke Li 001; Jinhua Zheng; Miqing Li; Cong Zhou; Hui Lv 001 (SMC, 2009)

A grid-based fitness strategy for evolutionary many-objective optimization. - Miqing Li; Jinhua Zheng; Ruimin Shen; Ke Li 001; Qizhao Yuan (GECCO, 2010)

Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization. - Miqing Li; Jinhua Zheng; Ke Li 001; Qizhao Yuan; Ruimin Shen (PPSN (1), 2010)

JGBL paradigm: a novel strategy to enhance the exploration ability of nsga-ii. - Ke Li 001; Sam Kwong; Kim-Fung Man (GECCO (Companion), 2011)

ERMAO: An Enhanced Intradomain Traffic Engineering Approach in LISP-Capable Networks. - Ke Li 001; Sheng Wang 006; Shizhong Xu; Xiong Wang 001 (GLOBECOM, 2011)

Multi-Objective Differential Evolution with Adaptive Control of Parameters and Operators. - Ke Li 001; Álvaro Fialho; Sam Kwong (LION, 2011)

Combining interpretable fuzzy rule-based classifiers via multi-objective hierarchical evolutionary algorithm. - Jingjing Cao; Hanli Wang; Sam Kwong; Ke Li 001 (SMC, 2011)

Edge router selection and traffic engineering in LISP-capable networks. - Ke Li 001; Sheng Wang 006; Xiong Wang 001 (J. Commun. Networks, 2011)

A weighted voting method using minimum square error based on Extreme Learning Machine. - Jingjing Cao; Sam Kwong; Ran Wang 001; Ke Li 001 (ICMLC, 2012)

Multi-objective differential evolution with self-navigation. - Ke Li 001; Sam Kwong; Ran Wang 001; Jingjing Cao; Imre J. Rudas (SMC, 2012)

Achieving balance between proximity and diversity in multi-objective evolutionary algorithm. - Ke Li 001; Sam Kwong; Jingjing Cao; Miqing Li; Jinhua Zheng; Ruimin Shen (Inf. Sci., 2012)

Learning paradigm based on jumping genes: A general framework for enhancing exploration in evolutionary multiobjective optimization. - Ke Li 001; Sam Kwong; Ran Wang 001; Kit-Sang Tang; Kim-Fung Man (Inf. Sci., 2013)

An Energy-Efficient Power Control Approach for IEEE 802.11n Wireless LANs. - Yuan Li; Ke Li 001; Wenwen Li; Yan Zhang 006; Min Sheng; Jianxiang Chu (CIT, 2014)

Multiple topologies routing for improving service management in OSPF networks. - Dan Liao; Ke Li 001; Gang Sun 001; Vishal Anand 001; Sheng Wang 006 (GLOBECOM Workshops, 2014)

AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble. - Jingjing Cao; Sam Kwong; Ran Wang 001; Ke Li 001 (ICMLC, 2014)

A general framework for evolutionary multiobjective optimization via manifold learning. - Ke Li 001; Sam Kwong (Neurocomputing, 2014)

Evaluating the benefit of the core-edge separation on intradomain traffic engineering under uncertain traffic demand. - Ke Li 001; Sheng Wang 006; Shizhong Xu; Xiong Wang 001; Haojun Huang; Jin Ren; Bo Zhai (J. Netw. Comput. Appl., 2014)

Evolutionary Algorithms With Segment-Based Search for Multiobjective Optimization Problems. - Miqing Li; Shengxiang Yang; Ke Li 001; Xiaohui Liu 001 (IEEE Trans. Cybern., 2014)

Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition. - Ke Li 001; Álvaro Fialho; Sam Kwong; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2014)

Stable Matching-Based Selection in Evolutionary Multiobjective Optimization. - Ke Li 001; Qingfu Zhang 001; Sam Kwong; Miqing Li; Ran Wang 001 (IEEE Trans. Evol. Comput., 2014)

Evolutionary multiobjective optimization with hybrid selection principles. - Ke Li 001; Kalyanmoy Deb; Qingfu Zhang 001 (CEC, 2015)

Energy and performance management in large data centers: A queuing theory perspective. - Dan Liao; Ke Li 001; Gang Sun 001; Vishal Anand 001; Yu Gong; Zhi Tan (ICNC, 2015)

Two-Level Stable Matching-Based Selection in MOEA/D. - Mengyuan Wu; Sam Kwong; Qingfu Zhang 001; Ke Li 001; Ran Wang 001; Bo Liu 003 (SMC, 2015)

Network distance prediction for enabling service-oriented applications over large-scale networks. - Haojun Huang; Hao Yin; Geyong Min; Dapeng Oliver Wu; Yulei Wu; Tao Zuo; Ke Li 001 (IEEE Commun. Mag., 2015)

Multi-topology routing based egress selection approach to achieve hybrid intra-AS and inter-AS traffic engineering. - Ke Li 001; Sheng Wang 006; Shizhong Xu; Xiong Wang 001; Jin Ren; Haojun Huang; Bo Zhai (Int. J. Commun. Syst., 2015)

Class-specific soft voting based multiple extreme learning machines ensemble. - Jingjing Cao; Sam Kwong; Ran Wang 001; Xiaodong Li 007; Ke Li 001; Xiangfei Kong (Neurocomputing, 2015)

A dual-population paradigm for evolutionary multiobjective optimization. - Ke Li 001; Sam Kwong; Kalyanmoy Deb (Inf. Sci., 2015)

Interrelationship-Based Selection for Decomposition Multiobjective Optimization. - Ke Li 001; Sam Kwong; Qingfu Zhang 001; Kalyanmoy Deb (IEEE Trans. Cybern., 2015)

An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition. - Ke Li 001; Kalyanmoy Deb; Qingfu Zhang 001; Sam Kwong (IEEE Trans. Evol. Comput., 2015)

Towards optimal outsourcing of service function chain across multiple clouds. - Huan Chen; Shizhong Xu; Xiong Wang 001; Yangming Zhao; Ke Li 001; Yang Wang 053; Wei Wang 171; Lemin Li (ICC, 2016)

Variable Interaction in Multi-objective Optimization Problems. - Ke Li 001; Mohammad Nabi Omidvar; Kalyanmoy Deb; Xin Yao 001 (PPSN, 2016)

FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software at Runtime. - Tao Chen 001; Ke Li 001; Rami Bahsoon; Xin Yao 001 (CoRR, 2016)

Dynamic Multi-Objectives Optimization with a Changing Number of Objectives. - Renzhi Chen; Ke Li 001; Xin Yao 001 (CoRR, 2016)

Adaptive Two-Level Matching-Based Selection for Decomposition Multi-Objective Optimization. - Mengyuan Wu; Ke Li 001; Sam Kwong; Yu Zhou 027; Qingfu Zhang 001 (CoRR, 2016)

Personalized search for social media via dominating verbal context. - Haoran Xie 001; Xiaodong Li 007; Tao Wang 036; Li Chen 009; Ke Li 001; Fu Lee Wang; Yi Cai 001; Qing Li 001; Huaqing Min (Neurocomputing, 2016)

Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results. - Ke Li 001; Kalyanmoy Deb; Okkes Tolga Altinöz; Xin Yao 001 (EMO, 2017)

Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression. - Mengyuan Wu; Sam Kwong; Yuheng Jia; Ke Li 001; Qingfu Zhang 001 (GECCO, 2017)

Efficient Algorithm for Traffic Engineering in Multi-domain Networks. - Jian Sun 019; Siyu Sun; Ke Li 001; Dan Liao; Victor I. Chang 001 (SmartCom, 2017)

Integration of Preferences in Decomposition Multi-Objective Optimization. - Ke Li 001; Kalyanmoy Deb; Xin Yao 001 (CoRR, 2017)

Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization. - Ke Li 001; Renzhi Chen; Guangtao Fu; Xin Yao 001 (CoRR, 2017)

Recent advances in semantic computing and personalization. - Haoran Xie 001; Fu Lee Wang; Xudong Mao; Ke Li 001; Qing Li 001; Handing Wang (Neurocomputing, 2017)

Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization. - Ke Li 001; Kalyanmoy Deb; Qingfu Zhang 001; Qiang Zhang (IEEE Trans. Cybern., 2017)

Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization. - Mengyuan Wu; Ke Li 001; Sam Kwong; Yu Zhou 027; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2017)

Decomposition multi-objective optimisation: current developments and future opportunities. - Ke Li 001; Qingfu Zhang 001 (GECCO (Companion), 2018)

Multi-Tenant Cloud Service Composition Using Evolutionary Optimization. - Satish Kumar; Rami Bahsoon; Tao Chen 001; Ke Li 001; Rajkumar Buyya (ICPADS, 2018)

Efficient algorithm for traffic engineering in Cloud-of-Things and edge computing. - Jian Sun 019; Siyu Sun; Ke Li 001; Dan Liao; Arun Kumar Sangaiah; Victor I. Chang 001 (Comput. Electr. Eng., 2018)

Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions. - Ke Li 001; Renzhi Chen; Dragan A. Savic; Xin Yao 001 (CoRR, 2018)

Integration of Preferences in Decomposition Multiobjective Optimization. - Ke Li 001; Renzhi Chen; Geyong Min; Xin Yao 001 (IEEE Trans. Cybern., 2018)

Dynamic Multiobjectives Optimization With a Changing Number of Objectives. - Renzhi Chen; Ke Li 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2018)

Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection. - Ran Cheng; Miqing Li; Ke Li 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2018)

R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points. - Ke Li 001; Kalyanmoy Deb; Xin Yao 001 (IEEE Trans. Evol. Comput., 2018)

FEMOSAA: Feature-Guided and Knee-Driven Multi-Objective Optimization for Self-Adaptive Software. - Tao Chen 001; Ke Li 001; Rami Bahsoon; Xin Yao 001 (ACM Trans. Softw. Eng. Methodol., 2018)

Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons. - Huiru Gao; Haifeng Nie; Ke Li 001 (CEC, 2019)

Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. - Ke Li 001; Zilin Xiang; Kay Chen Tan (CEC, 2019)

A Formal Model for Multi-objective Optimisation of Network Function Virtualisation Placement. - Joseph Billingsley; Ke Li 001; Wang Miao; Geyong Min; Nektarios Georgalas (EMO, 2019)

Progressive Preference Learning: Proof-of-Principle Results in MOEA/D. - Ke Li 001 (EMO, 2019)

Security testing of web applications: a search-based approach for detecting SQL injection vulnerabilities. - Muyang Liu; Ke Li 001; Tao Chen 001 (GECCO (Companion), 2019)

Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points. - Ke Li 001; Minhui Liao; Kalyanmoy Deb; Geyong Min; Xin Yao 001 (CoRR, 2019)

A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization. - Juan Zou; Chunhui Ji; Shengxiang Yang; Yuping Zhang; Jinhua Zheng; Ke Li 001 (Swarm Evol. Comput., 2019)

Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization. - Ke Li 001; Renzhi Chen; Guangtao Fu; Xin Yao 001 (IEEE Trans. Evol. Comput., 2019)

Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization. - Mengyuan Wu; Ke Li 001; Sam Kwong; Qingfu Zhang 001; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2019)

Interactive Decomposition Multiobjective Optimization Via Progressively Learned Value Functions. - Ke Li 001; Renzhi Chen; Dragan A. Savic; Xin Yao 001 (IEEE Trans. Fuzzy Syst., 2019)

Routing-Led Placement of VNFs in Arbitrary Networks. - Joseph Billingsley; Ke Li 001; Wang Miao; Geyong Min; Nektarios Georgalas (CEC, 2020)

Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning for Dynamic Expensive Multi-Objective Optimisation Problems. - Xuezhou Fan; Ke Li 001; Kay Chen Tan (CEC, 2020)

On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D. - Geoffrey Pruvost; Bilel Derbel; Arnaud Liefooghe; Ke Li 001; Qingfu Zhang 001 (EvoCOP, 2020)

Decomposition multi-objective optimisation: current developments and future opportunities. - Ke Li 001; Qingfu Zhang 001; Saúl Zapotecas Martínez (GECCO Companion, 2020)

Surrogate assisted evolutionary algorithm for medium scale multi-objective optimisation problems. - Xiaoran Ruan; Ke Li 001; Bilel Derbel; Arnaud Liefooghe (GECCO, 2020)

Performance Analysis of SDN and NFV enabled Mobile Cloud Computing. - Joseph Billingsley; Wang Miao; Ke Li 001; Geyong Min; Nektarios Georgalas (GLOBECOM, 2020)

Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study. - Ke Li 001; Zilin Xiang; Tao Chen 001; Shuo Wang 005; Kay Chen Tan (ICSE, 2020)

DeepSQLi: deep semantic learning for testing SQL injection. - Muyang Liu; Ke Li 001; Tao Chen 001 (ISSTA, 2020)

BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. - Ke Li 001; Zilin Xiang; Tao Chen 001; Kay Chen Tan (ASE, 2020)

Adaptive Operator Selection Based on Dynamic Thompson Sampling for MOEA/D. - Lei Sun 008; Ke Li 001 (PPSN (2), 2020)

Knee Point Identification Based on Voronoi Diagram. - Haifeng Nie; Huiru Gao; Ke Li 001 (SMC, 2020)

Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities. - Tao Chen 001; Miqing Li; Ke Li 001; Kalyanmoy Deb (CoRR, 2020)

Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. - Ke Li 001; Zilin Xiang; Tao Chen 001; Shuo Wang 005; Kay Chen Tan (CoRR, 2020)

Surrogate Assisted Evolutionary Algorithm for Medium Scale Expensive Multi-Objective Optimisation Problems. - Xiaoran Ruan; Ke Li 001; Bilel Derbel; Arnaud Liefooghe (CoRR, 2020)

Knee Point Identification Based on Trade-Off Utility. - Ke Li 001; Haifeng Nie; Huiru Gao; Xin Yao 001 (CoRR, 2020)

Evolutionary Many-Objective Optimization Based on Adversarial Decomposition. - Mengyuan Wu; Ke Li 001; Sam Kwong; Qingfu Zhang 001 (IEEE Trans. Cybern., 2020)

Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multiobjective Optimization Using Reference Points. - Ke Li 001; Minhui Liao; Kalyanmoy Deb; Geyong Min; Xin Yao 001 (IEEE Trans. Evol. Comput., 2020)

Empirical Studies on the Role of the Decision Maker in Interactive Evolutionary Multi-Objective Optimization. - Guiyu Lai; Minhui Liao; Ke Li 001 (CEC, 2021)

Parallel Algorithms for the Multiobjective Virtual Network Function Placement Problem. - Joseph Billingsley; Ke Li 001; Wang Miao; Geyong Min; Nektarios Georgalas (EMO, 2021)

An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-objective Optimization. - Xinyu Shan; Ke Li 001 (EMO, 2021)

Multi-objective Reinforcement Learning Based Multi-microgrid System Optimisation Problem. - Jiangjiao Xu; Ke Li 001; Mohammad Abusara (EMO, 2021)

Empirical study of correlations in the fitness landscapes of combinatorial optimization problems. - Longfei Zhang; Ke Li 001; Shi Gu (GECCO Companion, 2021)

Knee Point Identification Based on the Geometric Characteristic. - Renzhi Chen; Ke Li 001 (SMC, 2021)

Transfer Bayesian Optimization for Expensive Black-Box Optimization in Dynamic Environment. - Renzhi Chen; Ke Li 001 (SMC, 2021)

Large-Scale Evolutionary Optimization via Multi-Task Random Grouping. - Phoenix Neale Williams; Ke Li 001; Geyong Min (SMC, 2021)

ADMM-based OPF Problem Against Cyber Attacks in Smart Grid. - Jiangjiao Xu; Ke Li 001; Mohammad Abusara; Yan Zhang 006 (SMC, 2021)

An Enhancement of the NSGA-II Reliability Optimization Using Extended Kalman Filter Based Initialization. - Savas Yuce; Ke Li 001 (UKCI, 2021)

Evolutionary Multi-Objective Virtual Network Function Placement: A Formal Model and Effective Algorithms. - Joseph Billingsley; Ke Li 001; Wang Miao; Geyong Min; Nektarios Georgalas (CoRR, 2021)

Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation. - Ke Li 001; Renzhi Chen (CoRR, 2021)

TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework. - Bo Lyu; Shiping Wen 001; Zheng Yan 001; Kaibo Shi; Ke Li 001; Tingwen Huang (CoRR, 2021)

Bayesian network based label correlation analysis for multi-label classifier chain. - Ran Wang 001; Suhe Ye; Ke Li 001; Sam Kwong (Inf. Sci., 2021)

Vertical distance-based clonal selection mechanism for the multiobjective immune algorithm. - Lingjie Li; Qiuzhen Lin; Ke Li 001; Zhong Ming 001 (Swarm Evol. Comput., 2021)

Black-box adversarial attack via overlapped shapes. - Phoenix Neale Williams; Ke Li 001; Geyong Min (GECCO Companion, 2022)

Adversarial example generation via genetic algorithm: a preliminary result. - Shasha Zhou; Ke Li 001; Geyong Min (GECCO Companion, 2022)

Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-objective Optimization? - Shuang Li; Ke Li 001; Wei Li 154 (PPSN (2), 2022)

Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing. - Shasha Zhou; Ke Li 001; Geyong Min (PPSN (1), 2022)

LONViZ: Unboxing the black-box of Configurable Software Systems from a Complex Networks Perspective. - Ke Li 001; Peili Mao; Tao Chen 001 (CoRR, 2022)

Automated Few-Shot Time Series Forecasting based on Bi-level Programming. - Jiangjiao Xu; Ke Li 001 (CoRR, 2022)

Art-Attack: Black-Box Adversarial Attack via Evolutionary Art. - Phoenix Neale Williams; Ke Li 001 (CoRR, 2022)

Interactive Evolutionary Multi-Objective Optimization via Learning-to-Rank. - Ke Li 001; Guiyu Lai; Xin Yao 001 (CoRR, 2022)

Evolutionary Multi-Task Injection Testing on Web Application Firewalls. - Ke Li 001; Heng Yang 008; Willem Visser (CoRR, 2022)

PyABSA: Open Framework for Aspect-based Sentiment Analysis. - Heng Yang 008; Ke Li 001 (CoRR, 2022)

Augmentor or Filter? Reconsider the Role of Pre-trained Language Model in Text Classification Augmentation. - Heng Yang 008; Ke Li 001 (CoRR, 2022)

Preference based multi-objective reinforcement learning for multi-microgrid system optimization problem in smart grid. - Jiangjiao Xu; Ke Li 001; Mohammad Abusara (Memetic Comput., 2022)

Distributed UAV Swarm Formation and Collision Avoidance Strategies Over Fixed and Switching Topologies. - Jia Wu; Chunbo Luo; Yang Luo; Ke Li 001 (IEEE Trans. Cybern., 2022)

Transfer Learning-Based Parallel Evolutionary Algorithm Framework for Bilevel Optimization. - Lei Chen 044; Hai-Lin Liu 001; Kay Chen Tan; Ke Li 001 (IEEE Trans. Evol. Comput., 2022)

Posterior Decision Making Based on Decomposition-Driven Knee Point Identification. - Ke Li 001; Haifeng Nie; Huiru Gao; Xin Yao 001 (IEEE Trans. Evol. Comput., 2022)

Boosting Text Augmentation via Hybrid Instance Filtering Framework. - Heng Yang 008; Ke Li 001 (ACL (Findings), 2023)

A Surrogate Assisted Evolutionary Strategy for Image Approximation by Density-Ratio Estimation. - Phoenix Neale Williams; Ke Li 001; Geyong Min (CEC, 2023)

PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis. - Heng Yang 008; Chen Zhang; Ke Li 001 (CIKM, 2023)

Single Application Service Deployment in the Edge Environment Based on the E-CARGO Model. - Senyue Zhang; Ling Xue; Weiliang Huang; Lu Zhao 001; Ke Li 001 (CSCWD, 2023)

Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation CVPR Proceedings. - Phoenix Neale Williams; Ke Li 001 (CVPR, 2023)

InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators. - Heng Yang 008; Ke Li 001 (EMNLP (Findings), 2023)

Data-Driven Evolutionary Multi-objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts. - Renzhi Chen; Ke Li 001 (EMO, 2023)

Sparse Adversarial Attack via Bi-objective Optimization. - Phoenix Neale Williams; Ke Li 001; Geyong Min (EMO, 2023)

Exploring Structural Similarity in Fitness Landscapes via Graph Data Mining: A Case Study on Number Partitioning Problems. - Mingyu Huang; Ke Li 001 (IJCAI, 2023)

CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches. - Phoenix Neale Williams; Ke Li 001 (NeurIPS, 2023)

Multioutput Surrogate Assisted Evolutionary Algorithm for Expensive Multi-Modal Optimization Problems. - Renzhi Chen; Ke Li 001 (SMC, 2023)

Preference-Based Multi-Objective Optimization with Gaussian Process. - Tian Huang; Ke Li 001 (SMC, 2023)

Empirical Studies of Resampling Strategies in Noisy Evolutionary Multi-Objective Optimization. - Shasha Zhou; Ke Li 001 (SMC, 2023)

Quality Indicators for Preference-based Evolutionary Multi-objective Optimization Using a Reference Point: A Review and Analysis. - Ryoji Tanabe; Ke Li 001 (CoRR, 2023)

Reactive Perturbation Defocusing for Textual Adversarial Defense. - Heng Yang 008; Ke Li 001 (CoRR, 2023)

Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning. - Shengbo Wang; Ke Li 001; Yin Yang 001; Yuting Cao; Tingwen Huang; Shiping Wen 001 (CoRR, 2023)

Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandit. - Tian Huang; Ke Li 001 (CoRR, 2023)

On the Hyperparameter Landscapes of Machine Learning Algorithms. - Mingyu Huang; Ke Li 001 (CoRR, 2023)

Towards the Inferrence of Structural Similarity of Combinatorial Landscapes. - Mingyu Huang; Ke Li 001 (CoRR, 2023)

Interactive Evolutionary Multiobjective Optimization via Learning to Rank. - Ke Li 001; Guiyu Lai; Xin Yao 001 (IEEE Trans. Evol. Comput., 2023)

MTLP-JR: Multi-task learning-based prediction for joint ranking in neural architecture search. - Bo Lyu; Longfei Lu; Maher Hamdi; Shiping Wen 001; Yin Yang 001; Ke Li 001 (Comput. Electr. Eng., 2023)

Batched Data-Driven Evolutionary Multiobjective Optimization Based on Manifold Interpolation. - Ke Li 001; Renzhi Chen (IEEE Trans. Evol. Comput., 2023)

Neural Architecture Search for Portrait Parsing. - Bo Lyu; Yin Yang 001; Shiping Wen 001; Tingwen Huang; Ke Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Efficient Spectral Graph Convolutional Network Deployment on Memristive Crossbars. - Bo Lyu; Maher Hamdi; Yin Yang 001; Yuting Cao; Zheng Yan 001; Ke Li 001; Shiping Wen 001; Tingwen Huang (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence. - Shengbo Wang; Ke Li 001 (AAAI, 2024)

OpenTOS: Open-source System for Transfer Learning Bayesian Optimization. - Peili Mao; Ke Li 001 (CIKM, 2024)

Modeling Aspect Sentiment Coherency via Local Sentiment Aggregation. - Heng Yang 008; Ke Li 001 (EACL (Findings), 2024)

Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits. - Tian Huang; Shengbo Wang; Ke Li 001 (NeurIPS, 2024)

Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models. - Chengzhe Feng; Yanan Sun 001; Ke Li 001; Pan Zhou; Jiancheng Lv 001; Aojun Lu (CoRR, 2024)

A Survey of Decomposition-Based Evolutionary Multi-Objective Optimization: Part II - A Data Science Perspective. - Mingyu Huang; Ke Li 001 (CoRR, 2024)

MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning. - Jiaxin Chen; Jinliang Ding; Kay Chen Tan; Jiancheng Qian; Ke Li 001 (CoRR, 2024)

An interpretable RNA foundation model for exploring functional RNA motifs in plants. - Haopeng Yu; Heng Yang 008; Wenqing Sun; Zongyun Yan; Xiaofei Yang 009; Huakun Zhang; Yiliang Ding; Ke Li 001 (Nat. Mac. Intell., 2024)

Evolutionary Multi-objective Optimization for Contextual Adversarial Example Generation. - Shasha Zhou; Mingyu Huang; Yanan Sun 001; Ke Li 001 (Proc. ACM Softw. Eng., 2024)

A Multipopulation Evolutionary Algorithm Using New Cooperative Mechanism for Solving Multiobjective Problems With Multiconstraint. - Juan Zou; Ruiqing Sun; Yuan Liu 026; Yaru Hu; Shengxiang Yang; Jinhua Zheng; Ke Li 001 (IEEE Trans. Evol. Comput., 2024)

An Automated Few-Shot Learning for Time-Series Forecasting in Smart Grid Under Data Scarcity. - Jiangjiao Xu; Ke Li 001; Dongdong Li (IEEE Trans. Artif. Intell., 2024)

Evolutionary Bilevel Optimization via Multiobjective Transformation-Based Lower-Level Search. - Lei Chen 044; Hai-Lin Liu 001; Ke Li 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2024)

A Knee Point Driven Evolutionary Algorithm for Multiobjective Bilevel Optimization. - Jiaxin Chen; Jinliang Ding; Ke Li 001; Kay Chen Tan; Tianyou Chai (IEEE Trans. Cybern., 2024)

Multioutput Framework for Time-Series Forecasting in Smart Grid Meets Data Scarcity. - Jiangjiao Xu; Ke Li 001; Dongdong Li (IEEE Trans. Ind. Informatics, 2024)

A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments. - Ke Li 001; Renzhi Chen; Xin Yao 001 (IEEE Trans. Evol. Comput., 2024)

Solving Expensive Optimization Problems in Dynamic Environments With Meta-Learning. - Huan Zhang 016; Jinliang Ding; Liang Feng 001; Kay Chen Tan; Ke Li 001 (IEEE Trans. Cybern., 2024)

Quality Indicators for Preference-Based Evolutionary Multiobjective Optimization Using a Reference Point: A Review and Analysis. - Ryoji Tanabe; Ke Li 001 (IEEE Trans. Evol. Comput., 2024)

Destroy and Repair Using Hyper-Graphs for Routing. - Ke Li 001; Fei Liu 044; Zhenkun Wang 001; Qingfu Zhang 001 (AAAI, 2025)

On the Hyperparameter Loss Landscapes of Machine Learning Models: An Exploratory Study. - Mingyu Huang; Ke Li 001 (KDD (1), 2025)

Rethinking Performance Analysis for Configurable Software Systems: A Case Study from a Fitness Landscape Perspective. - Mingyu Huang; Peili Mao; Ke Li 001 (Proc. ACM Softw. Eng., 2025)

Multiscale Feature Fusion Transformer With Hybrid Attention for Insulator Defect Detection. - Jiangjiao Xu; Haiyu Liao; Ke Li 001; Changjun Jiang; Dongdong Li (IEEE Trans. Instrum. Meas., 2025)

Destroy and Repair Using Hyper Graphs for Routing. - Ke Li 001; Fei Liu 044; Zhengkun Wang; Qingfu Zhang 001 (CoRR, 2025)

OmniGenBench: A Modular Platform for Reproducible Genomic Foundation Models Benchmarking. - Heng Yang 008; Jack Cole; Yuan Li; Renzhi Chen; Geyong Min; Ke Li 001 (CoRR, 2025)

Mutual Knowledge Distillation-Based Personalized Federated Learning for Smart Edge Computing. - Siwei Zheng; Jia Hu 001; Geyong Min; Ke Li 001 (IEEE Trans. Consumer Electron., 2025)

Evolutionary Alternating Direction Method of Multipliers for Constrained Multiobjective Optimization With Unknown Constraints. - Shuang Li; Ke Li 001; Wei Li 154; Ming Yang 015 (IEEE Trans. Evol. Comput., 2025)

Evolutionary Art Attack for Black-Box Adversarial Example Generation. - Phoenix Neale Williams; Ke Li 001; Geyong Min (IEEE Trans. Evol. Comput., 2025)

MBL-CPDP: A Multi-Objective Bilevel Method for Cross-Project Defect Prediction. - Jiaxin Chen; Jinliang Ding; Kay Chen Tan; Jiancheng Qian; Ke Li 001 (IEEE Trans. Software Eng., 2025)

Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization. - Shengbo Wang; Ke Li 001; Zheng Yan 001; Zhenyuan Guo; Song Zhu; Guanghui Wen; Shiping Wen 001 (IEEE Trans. Control. Syst. Technol., 2025)