Liang Feng

According to our database, Liang Feng authored at least 154 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking.

Wu Lin, Qiuzhen Lin, Liang Feng, Kay Chen Tan

IEEE Trans. Evol. Comput., April, 2024

Budgeted Sequence Submodular Maximization With Uniform and Non-Uniform Costs.

Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou, Zhi Zhang

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems.

Yuxiao Huang, Wenjie Zhang, Liang Feng, Xingyu Wu, Kay Chen Tan

CoRR, 2024

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap.

Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan

CoRR, 2024

Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking.

Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan

CoRR, 2024

2023

A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design.

Junwei Dong, Boyu Hou, Liang Feng, Huajin Tang, Kay Chen Tan, Yew-Soon Ong

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Automated clash resolution for reinforcement steel design in precast concrete wall panels via generative adversarial network and reinforcement learning.

Pengkun Liu, Hongtuo Qi, Jiepeng Liu, Liang Feng, Dongsheng Li, Jingjing Guo

Adv. Eng. Informatics, October, 2023

Fast Vehicle Routing via Knowledge Transfer in a Reproducing Kernel Hilbert Space.

Yuxiao Huang, Liang Feng, Min Li, Yu Wang, Zexuan Zhu, Kay Chen Tan

IEEE Trans. Syst. Man Cybern. Syst., September, 2023

Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation.

Wei Zhou, Yong Liu, Min Li, Yu Wang, Zhiqi Shen, Liang Feng, Zexuan Zhu

IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial].

Xingyi Zhang, Ran Cheng, Liang Feng, Yaochu Jin

IEEE Comput. Intell. Mag., May, 2023

Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems.

Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong

IEEE Trans. Artif. Intell., February, 2023

Evolutionary Multitasking for Large-Scale Multiobjective Optimization.

Songbai Liu, Qiuzhen Lin, Liang Feng, Ka-Chun Wong, Kay Chen Tan

IEEE Trans. Evol. Comput., 2023

Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning.

Huan Zhang, Jinliang Ding, Liang Feng, Kay Chen Tan, Ke Li

CoRR, 2023

A Scalable Test Problem Generator for Sequential Transfer Optimization.

Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan

CoRR, 2023

A Twin Learning Evolutionary Algorithm for Capacitated Vehicle Routing Problem.

Hanshi Yang, Xin Zhang, Liang Feng, Zhou Wu, Choujun Zhan

Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

Two-stage Neural Architecture Optimization with Separated Training and Search.

Longze He, Boyu Hou, Junwei Dong, Liang Feng

Proceedings of the International Joint Conference on Neural Networks, 2023

Prompt-Distiller: Few-Shot Knowledge Distillation for Prompt-Based Language Learners with Dual Contrastive Learning.

Boyu Hou, Chengyu Wang, Xiaoqing Chen, Minghui Qiu, Liang Feng, Jun Huang

Proceedings of the IEEE International Conference on Acoustics, 2023

Boosting Prompt-Based Few-Shot Learners Through Out-of-Domain Knowledge Distillation.

Xiaoqing Chen, Chengyu Wang, Junwei Dong, Minghui Qiu, Liang Feng, Jun Huang

Proceedings of the IEEE International Conference on Acoustics, 2023

Surrogate-Assisted Morphology Optimization by Genetic Algorithms.

Jinlin Jiang, Yongchao Chen, Wenbin Pei, Junxiang Zhang, Yaqing Hou, Hongwei Ge, Liang Feng

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

A Cooperative Coevolution Hyper-Heuristic Framework for Workflow Scheduling Problem.

Qin-zhe Xiao, Jinghui Zhong, Liang Feng, Linbo Luo, Jianming Lv

IEEE Trans. Serv. Comput., 2022

Resource Provision and Allocation Based on Microeconomic Theory in Mobile Edge Computing.

Jiadi Liu, Songtao Guo, Kai Liu, Liang Feng

IEEE Trans. Serv. Comput., 2022

Network Rebalance and Operational Efficiency of Sharing Transportation System: Multi-Objective Optimization and Model Predictive Control Approaches.

Zhou Wu, Junjun Wu, Yuguang Chen, Kai Liu, Liang Feng

IEEE Trans. Intell. Transp. Syst., 2022

Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation.

Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong

IEEE Trans. Intell. Transp. Syst., 2022

Mining Implicit Equations From Data Using Gene Expression Programming.

Jinghui Zhong, Jiaquan Yang, Yongliang Chen, Wei-Li Liu, Liang Feng

IEEE Trans. Emerg. Top. Comput., 2022

Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization.

Wei Zhou, Liang Feng, Kay Chen Tan, Min Jiang, Yong Liu

IEEE Trans. Evol. Comput., 2022

Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm.

Yuxiao Huang, Liang Feng, Alex Kai Qin, Meng Chen, Kay Chen Tan

IEEE Trans. Evol. Comput., 2022

A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization.

Yinglan Feng, Liang Feng, Sam Kwong, Kay Chen Tan

IEEE Trans. Evol. Comput., 2022

Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems.

Xiaoming Xue, Kai Zhang, Kay Chen Tan, Liang Feng, Jian Wang, Guodong Chen, Xinggang Zhao, Liming Zhang, Jun Yao

IEEE Trans. Cybern., 2022

Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search.

Liang Feng, Wei Zhou, Weichen Liu, Yew-Soon Ong, Kay Chen Tan

IEEE Trans. Cybern., 2022

Multi-space evolutionary search with dynamic resource allocation strategy for large-scale optimization.

Qingxia Shang, Yuxiao Huang, Junwei Dong, Yaqing Hou, Yu Wang, Min Li, Liang Feng

Neural Comput. Appl., 2022

Solving vehicle routing problem by memetic search with evolutionary multitasking.

Qingxia Shang, Yuxiao Huang, Yu Wang, Min Li, Liang Feng

Memetic Comput., 2022

UAV-Assisted Blind Area Pedestrian Detection via Terminal-Edge-Cloud Cooperation in VANETs.

Qisen Zhang, Kai Liu, Luyao Jiang, Chengliang Zhong, Liang Feng, Hao Zhang, Ke Xiao

Proceedings of the Neural Computing for Advanced Applications, 2022

Budgeted Sequence Submodular Maximization.

Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Constrained Path Search with Submodular Function Maximization.

Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Sibo Wang, Xuemin Lin, Liang Feng

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism.

Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Comparison Analysis on Techniques of Preprocessing Imbalanced Data for Symbolic Regression.

Cuixin Ma, Wei-Li Liu, Jinghui Zhong, Liang Feng

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021

Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding.

Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong

IEEE Trans. Evol. Comput., 2021

Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation.

Lei Zhou, Liang Feng, Kay Chen Tan, Jinghui Zhong, Zexuan Zhu, Kai Liu, Chao Chen

IEEE Trans. Cybern., 2021

Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking.

Liang Feng, Lei Zhou, Abhishek Gupta, Jinghui Zhong, Zexuan Zhu, Kay Chen Tan, Alex Kai Qin

IEEE Trans. Cybern., 2021

Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem.

Liang Feng, Yuxiao Huang, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Ke Tang, Kay Chen Tan

IEEE Trans. Cybern., 2021

Cooperative coding and caching scheduling via binary particle swarm optimization in software-defined vehicular networks.

Ke Xiao, Kai Liu, Xincao Xu, Liang Feng, Zhou Wu, Qiangwei Zhao

Neural Comput. Appl., 2021

Two-layered ant colony system to improve engraving robot's efficiency based on a large-scale TSP model.

Zhou Wu, Junjun Wu, Mingbo Zhao, Liang Feng, Kai Liu

Neural Comput. Appl., 2021

A study on multiform multi-objective evolutionary optimization.

Liangjie Zhang, Yuling Xie, Jianjun Chen, Liang Feng, Chao Chen, Kai Liu

Memetic Comput., 2021

Guest Editorial: Special issue on memetic algorithms with learning strategy.

Ling Wang, Liang Feng

Memetic Comput., 2021

Efficient fog-assisted heterogeneous data services in software defined VANETs.

Ke Xiao, Kai Liu, Xincao Xu, Yi Zhou, Liang Feng

J. Ambient Intell. Humaniz. Comput., 2021

Multi-Space Evolutionary Search for Large-Scale Optimization.

Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong

CoRR, 2021

Non-linear Domain Adaptation in Transfer Evolutionary Optimization.

Ray Lim, Abhishek Gupta, Yew-Soon Ong, Liang Feng, Allan N. Zhang

Cogn. Comput., 2021

Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios.

Handing Wang, Liang Feng, Yaochu Jin, John Doherty

IEEE Comput. Intell. Mag., 2021

Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research.

Kay Chen Tan, Liang Feng, Min Jiang

IEEE Comput. Intell. Mag., 2021

[Guest Editorial].

Liang Feng, Handing Wang, Yew-Soon Ong, Kay Chen Tan, Yaochu Jin

IEEE Comput. Intell. Mag., 2021

2TD Path-Planner: Towards a More Realistic Path Planning System over Two-Fold Time-Dependent Road Networks [Application Notes].

Chao Chen, Liping Gao, Xuefeng Xie, Liang Feng, Yasha Wang

IEEE Comput. Intell. Mag., 2021

Automatic modeling of prefabricated components with laser-scanned data for virtual trial assembly.

Dongsheng Li, Jiepeng Liu, Liang Feng, Yang Zhou, Hongtuo Qi, Y. Frank Chen

Comput. Aided Civ. Infrastructure Eng., 2021

Evolutionary Multitasking via Artificial Neural Networks.

Xia Chen, Yuxiao Huang, Wei Zhou, Liang Feng

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Pheromone Based Independent Reinforcement Learning for Multiagent Navigation.

Kaige Zhang, Yaqing Hou, Hua Yu, Wenxuan Zhu, Liang Feng, Qiang Zhang

Proceedings of the Neural Computing for Advanced Applications, 2021

Integrating Policy Reuse with Learning from Demonstrations for Knowledge Transfer in Deep Reinforcement Learning.

Pei Yao, Liang Feng

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Efficient Two-Stage Evolutionary Search of Convolutional Neural Architectures Based on Cell Independence Analysis.

Boyu Hou, Junwei Dong, Liang Feng, Minghui Qiu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Evolutionary Multitasking for Cross-domain Task Optimization via Vehicular Edge Computing.

Dong Wang, Kai Liu, Liang Feng, Penglin Dai, Weiwei Wu, Songtao Guo

Proceedings of the IEEE Global Communications Conference, 2021

A Study on Realtime Task Selection Based on Credit Information Updating in Evolutionary Multitasking.

Yumeng Cao, Yaqing Hou, Liang Feng, Hongwei Ge, Qiang Zhang, Xiaopeng Wei

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding.

Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan, Sam Kwong

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic.

Gengzhi Zhang, Liang Feng, Yaqing Hou

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Multifactorial Genetic Programming for Symbolic Regression Problems.

Jinghui Zhong, Liang Feng, Wentong Cai, Yew-Soon Ong

IEEE Trans. Syst. Man Cybern. Syst., 2020

Ant Colony System With Sorting-Based Local Search for Coverage-Based Test Case Prioritization.

Chengyu Lu, Jinghui Zhong, Yinxing Xue, Liang Feng, Jun Zhang

IEEE Trans. Reliab., 2020

TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change.

Chao Chen, Yan Ding, Xuefeng Xie, Shu Zhang, Zhu Wang, Liang Feng

IEEE Trans. Intell. Transp. Syst., 2020

An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization.

Yongliang Chen, Jinghui Zhong, Liang Feng, Jun Zhang

IEEE Trans. Emerg. Top. Comput. Intell., 2020

Performance Modeling and Directives Optimization for High-Level Synthesis on FPGA.

Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang, Bingsheng He

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression.

Zhixing Huang, Jinghui Zhong, Liang Feng, Yi Mei, Wentong Cai

Soft Comput., 2020

A scalable indoor localization algorithm based on distance fitting and fingerprint mapping in Wi-Fi environments.

Hao Zhang, Kai Liu, Feiyu Jin, Liang Feng, Victor C. S. Lee, Joseph Kee-Yin Ng

Neural Comput. Appl., 2020

Vehicular Fog Computing Enabled Real-Time Collision Warning via Trajectory Calibration.

Xincao Xu, Kai Liu, Ke Xiao, Liang Feng, Zhou Wu, Songtao Guo

Mob. Networks Appl., 2020

Decentralized Caching Framework Toward Edge Network Based on Blockchain.

Jiadi Liu, Songtao Guo, Yawei Shi, Liang Feng, Cong Wang

IEEE Internet Things J., 2020

A hyper-heuristic framework for lifetime maximization in wireless sensor networks with a mobile sink.

Jinghui Zhong, Zhixing Huang, Liang Feng, Wan Du, Ying Li

IEEE CAA J. Autom. Sinica, 2020

Multi-factorial Optimization for Large-scale Virtual Machine Placement in Cloud Computing.

Zhengping Liang, Jian Zhang, Liang Feng, Zexuan Zhu

CoRR, 2020

Multi-reservoir echo state computing for solar irradiance prediction: A fast yet efficient deep learning approach.

Qian Li, Zhou Wu, Rui Ling, Liang Feng, Kai Liu

Appl. Soft Comput., 2020

A Memetic Algorithm for Evolving Deep Convolutional Neural Network in Image Classification.

Junwei Dong, Liangjie Zhang, Boyu Hou, Liang Feng

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Preliminary Study of Improving Evolutionary Multi-Objective Optimization via Knowledge Transfer from Single-Objective Problems.

Lingyu Huang, Liang Feng, Handing Wang, Yaqing Hou, Kai Liu, Chao Chen

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Multi-period Distributed Delay-Sensitive Tasks Offloading in a Two-Layer Vehicular Fog Computing Architecture.

Yi Zhou, Kai Liu, Xincao Xu, Chunhui Liu, Liang Feng, Chao Chen

Proceedings of the Neural Computing for Advanced Applications, 2020

Point Cloud Simplification based on Decomposed Graph Filtering.

Yan Zeng, Zhou Wu, Jiepeng Liu, Liang Feng

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling.

Wenxuan Zhu, Yaqing Hou, Qiang Zhang, Hongwei Ge, Xin Yang, Liang Feng, Xinghua Qu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications.

Jieru Zhao, Tingyuan Liang, Liang Feng, Wenchao Ding, Sharad Sinha, Wei Zhang, Shaojie Shen

Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020

Tracking Moving Optima of Dynamic Multi-objective Problem via Prediction in Objective Space.

Wei Zhou, Liang Feng, Zexuan Zhu, Kai Liu, Chao Chen, Zhou Wu

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Comparison of Different Computing Platforms for Implementing Parallel Genetic Programming.

Ruihua Zeng, Zhixing Huang, Yongliang Chen, Jinghui Zhong, Liang Feng

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Large-Scale optimization via Evolutionary Multitasking assisted Random Embedding.

Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Temporal Information Services in Large-Scale Vehicular Networks Through Evolutionary Multi-Objective Optimization.

Penglin Dai, Kai Liu, Liang Feng, Haijun Zhang, Victor Chung Sing Lee, Sang Hyuk Son, Xiao Wu

IEEE Trans. Intell. Transp. Syst., 2019

Evolutionary Multitasking via Explicit Autoencoding.

Liang Feng, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Yew-Soon Ong, Kay Chen Tan, Alex Kai Qin

IEEE Trans. Cybern., 2019

Towards Automatic Segmentation and Recognition of Multiple Precast Concrete Elements in Outdoor Laser Scan Data.

Jiepeng Liu, Dongsheng Li, Liang Feng, Pengkun Liu, Wenbo Wu

Remote. Sens., 2019

Compressed representation for higher-level meme space evolution: a case study on big knapsack problems.

Liang Feng, Abhishek Gupta, Yew-Soon Ong

Memetic Comput., 2019

Fast transfer Gaussian process regression with large-scale sources.

Bingshui Da, Yew-Soon Ong, Abhishek Gupta, Liang Feng, Haitao Liu

Knowl. Based Syst., 2019

A hybrid of genetic transform and hyper-rectangle search strategies for evolutionary multi-tasking.

Zhengping Liang, Jian Zhang, Liang Feng, Zexuan Zhu

Expert Syst. Appl., 2019

Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning.

Zhenzhong Wang, Min Jiang, Xing Gao, Liang Feng, Weizhen Hu, Kay Chen Tan

CoRR, 2019

A Fog Computing Paradigm for Efficient Information Services in VANET.

Ke Xiao, Kai Liu, Junhua Wang, Yanning Yang, Liang Feng, Jingjing Cao, Victor C. S. Lee

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Where to Build New Public Toilets? Multi-Source Urban Data Tell the Truth.

Chaoxiong Chen, Yuyang Liu, Chengwu Liao, Chao Chen, Liang Feng, Zhu Wang

Proceedings of the 2019 IEEE SmartWorld, 2019

Evolutionary Dynamic Multi-objective Optimization via Regression Transfer Learning.

Zhenzhong Wang, Min Jiang, Xing Gao, Liang Feng, Weizhen Hu, Kay Chen Tan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Enabling Safety-Critical and Computation-Intensive IoV Applications via Vehicular Fog Computing.

Chunhui Liu, Kai Liu, Hualing Ren, Yi Zhou, Liang Feng, Songtao Guo, Victor Lee

Proceedings of the 15th International Conference on Mobile Ad-Hoc and Sensor Networks, 2019

Hi-ClockFlow: Multi-Clock Dataflow Automation and Throughput Optimization in High-Level Synthesis.

Tingyuan Liang, Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang

Proceedings of the International Conference on Computer-Aided Design, 2019

Dual-Band Wi-Fi Based Indoor Localization via Stacked Denosing Autoencoder.

Hao Zhang, Kai Liu, Qingxia Shang, Liang Feng, Chao Chen, Zhou Wu, Songtao Guo

Proceedings of the 2019 IEEE Global Communications Conference, 2019

A Hybrid Data-Consistent Framework for Link-Aware AccessManagement in Emerging CPU-FPGA Platforms.

Liang Feng, Jieru Zhao, Tingyuan Liang, Sharad Sinha, Wei Zhang

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

LAMA: Link-Aware Hybrid Management for Memory Accesses in Emerging CPU-FPGA Platforms.

Liang Feng, Jieru Zhao, Tingyuan Liang, Sharad Sinha, Wei Zhang

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Towards Effective Mutation for Knowledge Transfer in Multifactorial Differential Evolution.

Lei Zhou, Liang Feng, Kai Liu, Chao Chen, Shaojiang Deng, Tao Xiang, Siwei Jiang

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Co-evolutionary Cartesian Genetic Programming with Adaptive Knowledge Transfer.

Jinghui Zhong, Linhao Li, Weili Liu, Liang Feng, Xiao-Min Hu

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Improving Reinforcement FALCON Learning in Complex Environment with Much Delayed Evaluation via Memetic Automaton.

Gengzhi Zhang, Liang Feng, Yuling Xie, Zhou Wu, Lin Chen

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking.

Qingxia Shang, L. Zhang, Liang Feng, Yaqing Hou, J. Zhong, Abhishek Gupta, Kay Chen Tan, H.-L. Liu

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Automated Clash Free Rebar Design in Precast Concrete Exterior Wall via Generative Adversarial Network and Multi-agent Reinforcement Learning.

Pengkun Liu, Jiepeng Liu, Liang Feng, Wenbo Wu, Hao Lan

Proceedings of the Advances in Artificial Intelligence, Software and Systems Engineering, 2019

Real-Time Detection and Tracking Using Hybrid DNNs and Space-Aware Color Feature: From Algorithm to System.

Liang Feng, Hiroaki Igarashi, Seiya Shibata, Yuki Kobayashi, Takashi Takenaka, Wei Zhang

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018

Scalable Light-Weight Integration of FPGA Based Accelerators with Chip Multi-Processors.

Zhe Lin, Sharad Sinha, Hao Liang, Liang Feng, Wei Zhang

IEEE Trans. Multi Scale Comput. Syst., 2018

Coding-Assisted Broadcast Scheduling via Memetic Computing in SDN-Based Vehicular Networks.

Kai Liu, Liang Feng, Penglin Dai, Victor C. S. Lee, Sang Hyuk Son, Jiannong Cao

IEEE Trans. Intell. Transp. Syst., 2018

TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data.

Chao Chen, Shuhai Jiao, Shu Zhang, Weichen Liu, Liang Feng, Yasha Wang

IEEE Trans. Intell. Transp. Syst., 2018

Toward Low-Overhead Fingerprint-Based Indoor Localization via Transfer Learning: Design, Implementation, and Evaluation.

Kai Liu, Hao Zhang, Joseph Kee-Yin Ng, Yusheng Xia, Liang Feng, Victor C. S. Lee, Sang Hyuk Son

IEEE Trans. Ind. Informatics, 2018

Insights on Transfer Optimization: Because Experience is the Best Teacher.

Abhishek Gupta, Yew-Soon Ong, Liang Feng

IEEE Trans. Emerg. Top. Comput. Intell., 2018

Hi-DMM: High-Performance Dynamic Memory Management in High-Level Synthesis.

Tingyuan Liang, Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Thermal-Aware Task Mapping on Dynamically Reconfigurable Network-on-Chip Based Multiprocessor System-on-Chip.

Weichen Liu, Lei Yang, Weiwen Jiang, Liang Feng, Nan Guan, Wei Zhang, Nikil D. Dutt

IEEE Trans. Computers, 2018

An Annulus Local Search Based Localization (ALSL) Algorithm in Indoor Wi-Fi Environments.

Hao Zhang, Kai Liu, Feiyu Jin, Chao Chen, Chen Zhan, Jianjun Li, Liang Feng

Proceedings of the 2018 IEEE SmartWorld, 2018

Automated Optimization of Longitudinal Tensile Reinforcement in RC Beam Using Binary PSO Algorithm.

Zhou Wu, Nian Ao, Chengran Xu, Liang Feng, Jiepeng Liu

Proceedings of the 2018 IEEE SmartWorld, 2018

Towards Scalable Indoor Localization with Particle Filter and Wi-Fi Fingerprint.

Feiyu Jin, Kai Liu, Hao Zhang, Liang Feng, Chao Chen, Weiwei Wu

Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

An Online Trajectory Compression System Applied to Resource-Constrained GPS Devices in Vehicles.

Yan Ding, Chao Chen, Xuefeng Xie, Kai Liu, Liang Feng

Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

Study Artificial Potential Field on the Clash Free Layout of Rebar in Reinforced Concrete Beam - Column Joints.

Jiepeng Liu, Chengran Xu, Nian Ao, Liang Feng, Zhou Wu

Proceedings of the 15th International Conference on Control, 2018

A study of similarity measure between tasks for multifactorial evolutionary algorithm.

Lei Zhou, Liang Feng, Jinghui Zhong, Zexuan Zhu, Bingshui Da, Zhou Wu

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

CAMAS: Static and Dynamic Hybrid Cache Management for CPU-FPGA Platforms.

Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang

Proceedings of the 26th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2018

A Preliminary Study of Adaptive Indicator Based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding.

Wei Zhou, Liang Feng, Siwei Jiang, Shu Zhang, Yaqing Hou, Yew-Soon Ong, Zexuan Zhu, Kai Liu

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems.

Yaqing Hou, Yew-Soon Ong, Liang Feng, Jacek M. Zurada

IEEE Trans. Evol. Comput., 2017

Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems.

Liang Feng, Yew-Soon Ong, Siwei Jiang, Abhishek Gupta

IEEE Trans. Evol. Comput., 2017

Multiobjective Multifactorial Optimization in Evolutionary Multitasking.

Abhishek Gupta, Yew-Soon Ong, Liang Feng, Kay Chen Tan

IEEE Trans. Cybern., 2017

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results.

Yuan Yuan, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi

CoRR, 2017

Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results.

Bingshui Da, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Zexuan Zhu, Chuan-Kang Ting, Ke Tang, Xin Yao

CoRR, 2017

Gene Expression Programming: A Survey [Review Article].

Jinghui Zhong, Liang Feng, Yew-Soon Ong

IEEE Comput. Intell. Mag., 2017

HeteroSim: A Heterogeneous CPU-FPGA Simulator.

Liang Feng, Hao Liang, Sharad Sinha, Wei Zhang

IEEE Comput. Archit. Lett., 2017

Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with a Mobile Sink.

Ying Li, Zhixing Huang, Jinghui Zhong, Liang Feng

Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

COMBA: A comprehensive model-based analysis framework for high level synthesis of real applications.

Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang, Bingsheng He

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

A hybrid approach to cache management in heterogeneous CPU-FPGA platforms.

Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

A Memetic Algorithm for Cache-Aided Data Broadcast with Network Coding in Vehicular Networks.

Kai Liu, Liang Feng, Penglin Dai, Weiwei Wu, Victor C. S. Lee, Sang Hyuk Son

Proceedings of the 2017 IEEE Global Communications Conference, 2017

PAAS: A system level simulator for heterogeneous computing architectures.

Tingyuan Liang, Liang Feng, Sharad Sinha, Wei Zhang

Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017

Solving dynamic vehicle routing problem via evolutionary search with learning capability.

Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong, K. Liu, C. Chen, Edwin Hsing-Mean Sha, B. Yang, B. W. Yan

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Linearized domain adaptation in evolutionary multitasking.

Kavitesh Kumar Bali, Abhishek Gupta, Liang Feng, Yew-Soon Ong, Puay Siew Tan

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Multifactorial Evolution: Toward Evolutionary Multitasking.

Abhishek Gupta, Yew-Soon Ong, Liang Feng

IEEE Trans. Evol. Comput., 2016

Band selection for hyperspectral images using probabilistic memetic algorithm.

Liang Feng, Ah-Hwee Tan, Meng-Hiot Lim, Siwei Jiang

Soft Comput., 2016

Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem.

Liang Feng, Yew-Soon Ong, Caishun Chen, Xianshun Chen

Soft Comput., 2016

Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem.

Lei Zhou, Liang Feng, Jinghui Zhong, Yew-Soon Ong, Zexuan Zhu, Edwin Hsing-Mean Sha

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization.

Penglin Dai, Kai Liu, Liang Feng, Qingfeng Zhuge, Victor Chung Sing Lee, Sang Hyuk Son

Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

Creating human-like non-player game characters using a Memetic Multi-Agent System.

Yaqing Hou, Liang Feng, Yew-Soon Ong

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Cooperative Information Services Based on Predictable Trajectories in Bus-VANETs.

Junhua Wang, Kai Liu, Penglin Dai, Edwin Hsing-Mean Sha, Liang Feng, Chao Chen, Chunhua Xiao

Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

A preliminary study on distance selection in probabilistic memetic framework for capacitated arc routing problem.

Zhenbin Ye, Liang Feng, Yew-Soon Ong, Kai Liu, Chao Chen, Edwin Hsing-Mean Sha

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition.

Siwei Jiang, Liang Feng, Dazhi Yang, Chen Kim Heng, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan, Zhihua Cai

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Adaptive indicator-based evolutionary algorithm for multiobjective optimization problems.

Siwei Jiang, Liang Feng, Chen Kim Heng, Quoc Chinh Nguyen, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Landscape synergy in evolutionary multitasking.

Abhishek Gupta, Yew-Soon Ong, Bingshui Da, Liang Feng, Stephanus Daniel Handoko

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Evolutionary multitasking across single and multi-objective formulations for improved problem solving.

Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking.

Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng

Proceedings of the Artificial Life and Computational Intelligence, 2016

2015

Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP.

Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Ivor W. Tsang

IEEE Trans. Evol. Comput., 2015

Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems.

Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor W. Tsang

Memetic Comput., 2015

2014

A study on probabilistic memetic algorithm and meme-centric framework

Liang Feng

PhD thesis, 2014

Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization.

Siwei Jiang, Yew-Soon Ong, Jie Zhang, Liang Feng

IEEE Trans. Cybern., 2014

2013

Extreme Learning Machines.

Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu

IEEE Intell. Syst., 2013

2012

A self-adaptive memeplexes robust search scheme for solving stochastic demands vehicle routing problem.

Xianshun Chen, Liang Feng, Yew-Soon Ong

Int. J. Syst. Sci., 2012

Meme as Building Block for Evolutionary Optimization of Problem Instances

Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor Wai-Hung Tsang

CoRR, 2012

An evolutionary search paradigm that learns with past experiences.

Liang Feng, Yew-Soon Ong, Ivor Wai-Hung Tsang, Ah-Hwee Tan

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Towards human-like social multi-agents with memetic automaton.

Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Xianshun Chen

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem.

Liang Feng, Yew-Soon Ong, Quang Huy Nguyen, Ah-Hwee Tan

Proceedings of the IEEE Congress on Evolutionary Computation, 2010