Liang Feng

Orcid: 0000-0002-8356-7242

Affiliations:
  • Chongqing University, College of Computer Science, Chongqing, China


According to our database1, Liang Feng authored at least 159 papers between 2010 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Toward Evolutionary Multitask Convolutional Neural Architecture Search.
IEEE Trans. Evol. Comput., June, 2024

Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking.
IEEE Trans. Evol. Comput., April, 2024

Budgeted Sequence Submodular Maximization With Uniform and Non-Uniform Costs.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

A Twin Learning Framework for Traveling Salesman Problem Based on Autoencoder, Graph Filter, and Transfer Learning.
IEEE Trans. Consumer Electron., February, 2024

Towards Next Era of Multi-objective Optimization: Large Language Models as Architects of Evolutionary Operators.
CoRR, 2024

CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models.
CoRR, 2024

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models.
CoRR, 2024

How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems.
CoRR, 2024

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap.
CoRR, 2024

Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking.
CoRR, 2024

2023
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design.
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.
Adv. Eng. Informatics, October, 2023

Fast Vehicle Routing via Knowledge Transfer in a Reproducing Kernel Hilbert Space.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023

Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial].
IEEE Comput. Intell. Mag., May, 2023

Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems.
IEEE Trans. Artif. Intell., February, 2023

Evolutionary Multitasking for Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2023

Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning.
CoRR, 2023

A Scalable Test Problem Generator for Sequential Transfer Optimization.
CoRR, 2023

A Twin Learning Evolutionary Algorithm for Capacitated Vehicle Routing Problem.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

Two-stage Neural Architecture Optimization with Separated Training and Search.
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.
Proceedings of the IEEE International Conference on Acoustics, 2023

Boosting Prompt-Based Few-Shot Learners Through Out-of-Domain Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Surrogate-Assisted Morphology Optimization by Genetic Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
A Cooperative Coevolution Hyper-Heuristic Framework for Workflow Scheduling Problem.
IEEE Trans. Serv. Comput., 2022

Resource Provision and Allocation Based on Microeconomic Theory in Mobile Edge Computing.
IEEE Trans. Serv. Comput., 2022

Network Rebalance and Operational Efficiency of Sharing Transportation System: Multi-Objective Optimization and Model Predictive Control Approaches.
IEEE Trans. Intell. Transp. Syst., 2022

Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation.
IEEE Trans. Intell. Transp. Syst., 2022

Mining Implicit Equations From Data Using Gene Expression Programming.
IEEE Trans. Emerg. Top. Comput., 2022

Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022

Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm.
IEEE Trans. Evol. Comput., 2022

A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022

Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems.
IEEE Trans. Cybern., 2022

Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search.
IEEE Trans. Cybern., 2022

Multi-space evolutionary search with dynamic resource allocation strategy for large-scale optimization.
Neural Comput. Appl., 2022

Solving vehicle routing problem by memetic search with evolutionary multitasking.
Memetic Comput., 2022

UAV-Assisted Blind Area Pedestrian Detection via Terminal-Edge-Cloud Cooperation in VANETs.
Proceedings of the Neural Computing for Advanced Applications, 2022

Budgeted Sequence Submodular Maximization.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Constrained Path Search with Submodular Function Maximization.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Comparison Analysis on Techniques of Preprocessing Imbalanced Data for Symbolic Regression.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021
Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding.
IEEE Trans. Evol. Comput., 2021

Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation.
IEEE Trans. Cybern., 2021

Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking.
IEEE Trans. Cybern., 2021

Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem.
IEEE Trans. Cybern., 2021

Cooperative coding and caching scheduling via binary particle swarm optimization in software-defined vehicular networks.
Neural Comput. Appl., 2021

Two-layered ant colony system to improve engraving robot's efficiency based on a large-scale TSP model.
Neural Comput. Appl., 2021

A study on multiform multi-objective evolutionary optimization.
Memetic Comput., 2021

Guest Editorial: Special issue on memetic algorithms with learning strategy.
Memetic Comput., 2021

Efficient fog-assisted heterogeneous data services in software defined VANETs.
J. Ambient Intell. Humaniz. Comput., 2021

Multi-Space Evolutionary Search for Large-Scale Optimization.
CoRR, 2021

Non-linear Domain Adaptation in Transfer Evolutionary Optimization.
Cogn. Comput., 2021

Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios.
IEEE Comput. Intell. Mag., 2021

Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research.
IEEE Comput. Intell. Mag., 2021

[Guest Editorial].
IEEE Comput. Intell. Mag., 2021

2TD Path-Planner: Towards a More Realistic Path Planning System over Two-Fold Time-Dependent Road Networks [Application Notes].
IEEE Comput. Intell. Mag., 2021

Automatic modeling of prefabricated components with laser-scanned data for virtual trial assembly.
Comput. Aided Civ. Infrastructure Eng., 2021

Evolutionary Multitasking via Artificial Neural Networks.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Pheromone Based Independent Reinforcement Learning for Multiagent Navigation.
Proceedings of the Neural Computing for Advanced Applications, 2021

Integrating Policy Reuse with Learning from Demonstrations for Knowledge Transfer in Deep Reinforcement Learning.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Efficient Two-Stage Evolutionary Search of Convolutional Neural Architectures Based on Cell Independence Analysis.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Evolutionary Multitasking for Cross-domain Task Optimization via Vehicular Edge Computing.
Proceedings of the IEEE Global Communications Conference, 2021

A Study on Realtime Task Selection Based on Credit Information Updating in Evolutionary Multitasking.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Multifactorial Genetic Programming for Symbolic Regression Problems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Ant Colony System With Sorting-Based Local Search for Coverage-Based Test Case Prioritization.
IEEE Trans. Reliab., 2020

TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change.
IEEE Trans. Intell. Transp. Syst., 2020

An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Performance Modeling and Directives Optimization for High-Level Synthesis on FPGA.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression.
Soft Comput., 2020

A scalable indoor localization algorithm based on distance fitting and fingerprint mapping in Wi-Fi environments.
Neural Comput. Appl., 2020

Vehicular Fog Computing Enabled Real-Time Collision Warning via Trajectory Calibration.
Mob. Networks Appl., 2020

Decentralized Caching Framework Toward Edge Network Based on Blockchain.
IEEE Internet Things J., 2020

A hyper-heuristic framework for lifetime maximization in wireless sensor networks with a mobile sink.
IEEE CAA J. Autom. Sinica, 2020

Multi-factorial Optimization for Large-scale Virtual Machine Placement in Cloud Computing.
CoRR, 2020

Multi-reservoir echo state computing for solar irradiance prediction: A fast yet efficient deep learning approach.
Appl. Soft Comput., 2020

A Memetic Algorithm for Evolving Deep Convolutional Neural Network in Image Classification.
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.
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.
Proceedings of the Neural Computing for Advanced Applications, 2020

Point Cloud Simplification based on Decomposed Graph Filtering.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Comparison of Different Computing Platforms for Implementing Parallel Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Large-Scale optimization via Evolutionary Multitasking assisted Random Embedding.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Temporal Information Services in Large-Scale Vehicular Networks Through Evolutionary Multi-Objective Optimization.
IEEE Trans. Intell. Transp. Syst., 2019

Evolutionary Multitasking via Explicit Autoencoding.
IEEE Trans. Cybern., 2019

Towards Automatic Segmentation and Recognition of Multiple Precast Concrete Elements in Outdoor Laser Scan Data.
Remote. Sens., 2019

Compressed representation for higher-level meme space evolution: a case study on big knapsack problems.
Memetic Comput., 2019

Fast transfer Gaussian process regression with large-scale sources.
Knowl. Based Syst., 2019

A hybrid of genetic transform and hyper-rectangle search strategies for evolutionary multi-tasking.
Expert Syst. Appl., 2019

Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning.
CoRR, 2019

A Fog Computing Paradigm for Efficient Information Services in VANET.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Where to Build New Public Toilets? Multi-Source Urban Data Tell the Truth.
Proceedings of the 2019 IEEE SmartWorld, 2019

Evolutionary Dynamic Multi-objective Optimization via Regression Transfer Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Enabling Safety-Critical and Computation-Intensive IoV Applications via Vehicular Fog Computing.
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.
Proceedings of the International Conference on Computer-Aided Design, 2019

Dual-Band Wi-Fi Based Indoor Localization via Stacked Denosing Autoencoder.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

A Hybrid Data-Consistent Framework for Link-Aware AccessManagement in Emerging CPU-FPGA Platforms.
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.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Towards Effective Mutation for Knowledge Transfer in Multifactorial Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Co-evolutionary Cartesian Genetic Programming with Adaptive Knowledge Transfer.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Improving Reinforcement FALCON Learning in Complex Environment with Much Delayed Evaluation via Memetic Automaton.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking.
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.
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.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018
Scalable Light-Weight Integration of FPGA Based Accelerators with Chip Multi-Processors.
IEEE Trans. Multi Scale Comput. Syst., 2018

Coding-Assisted Broadcast Scheduling via Memetic Computing in SDN-Based Vehicular Networks.
IEEE Trans. Intell. Transp. Syst., 2018

TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data.
IEEE Trans. Intell. Transp. Syst., 2018

Toward Low-Overhead Fingerprint-Based Indoor Localization via Transfer Learning: Design, Implementation, and Evaluation.
IEEE Trans. Ind. Informatics, 2018

Insights on Transfer Optimization: Because Experience is the Best Teacher.
IEEE Trans. Emerg. Top. Comput. Intell., 2018

Hi-DMM: High-Performance Dynamic Memory Management in High-Level Synthesis.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Thermal-Aware Task Mapping on Dynamically Reconfigurable Network-on-Chip Based Multiprocessor System-on-Chip.
IEEE Trans. Computers, 2018

An Annulus Local Search Based Localization (ALSL) Algorithm in Indoor Wi-Fi Environments.
Proceedings of the 2018 IEEE SmartWorld, 2018

Automated Optimization of Longitudinal Tensile Reinforcement in RC Beam Using Binary PSO Algorithm.
Proceedings of the 2018 IEEE SmartWorld, 2018

Towards Scalable Indoor Localization with Particle Filter and Wi-Fi Fingerprint.
Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

An Online Trajectory Compression System Applied to Resource-Constrained GPS Devices in Vehicles.
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.
Proceedings of the 15th International Conference on Control, 2018

A study of similarity measure between tasks for multifactorial evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

CAMAS: Static and Dynamic Hybrid Cache Management for CPU-FPGA Platforms.
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.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems.
IEEE Trans. Evol. Comput., 2017

Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems.
IEEE Trans. Evol. Comput., 2017

Multiobjective Multifactorial Optimization in Evolutionary Multitasking.
IEEE Trans. Cybern., 2017

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results.
CoRR, 2017

Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results.
CoRR, 2017

Gene Expression Programming: A Survey [Review Article].
IEEE Comput. Intell. Mag., 2017

HeteroSim: A Heterogeneous CPU-FPGA Simulator.
IEEE Comput. Archit. Lett., 2017

Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with a Mobile Sink.
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.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

A hybrid approach to cache management in heterogeneous CPU-FPGA platforms.
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.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

PAAS: A system level simulator for heterogeneous computing architectures.
Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017

Solving dynamic vehicle routing problem via evolutionary search with learning capability.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Linearized domain adaptation in evolutionary multitasking.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Multifactorial Evolution: Toward Evolutionary Multitasking.
IEEE Trans. Evol. Comput., 2016

Band selection for hyperspectral images using probabilistic memetic algorithm.
Soft Comput., 2016

Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem.
Soft Comput., 2016

Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem.
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.
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

Creating human-like non-player game characters using a Memetic Multi-Agent System.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Cooperative Information Services Based on Predictable Trajectories in Bus-VANETs.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Adaptive indicator-based evolutionary algorithm for multiobjective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Landscape synergy in evolutionary multitasking.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Evolutionary multitasking across single and multi-objective formulations for improved problem solving.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP.
IEEE Trans. Evol. Comput., 2015

Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems.
Memetic Comput., 2015

2014
A study on probabilistic memetic algorithm and meme-centric framework
PhD thesis, 2014

Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization.
IEEE Trans. Cybern., 2014

2013
Extreme Learning Machines.
IEEE Intell. Syst., 2013

2012
A self-adaptive memeplexes robust search scheme for solving stochastic demands vehicle routing problem.
Int. J. Syst. Sci., 2012

Meme as Building Block for Evolutionary Optimization of Problem Instances
CoRR, 2012

An evolutionary search paradigm that learns with past experiences.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Towards human-like social multi-agents with memetic automaton.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010


  Loading...