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Liang Feng 0001
Person information
- affiliation: Chongqing University, College of Computer Science, Chongqing, China
Other persons with the same name
- Liang Feng — disambiguation page
- Liang Feng 0002
— Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, China
- Liang Feng 0003
— Chinese Academy of Sciences, Beijing, Key Laboratory of Cloud-Precipitation Physics and Severe Storms, China
- Liang Feng 0004
— North China University of Technology, Beijing, China
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2020 – today
- 2025
- [j85]Qingxia Shang
, Minzhong Tan, Rong Hu
, Yuxiao Huang, Bin Qian
, Liang Feng:
A multi-stage competitive swarm optimization algorithm for solving large-scale multi-objective optimization problems. Expert Syst. Appl. 260: 125411 (2025) - [j84]Yu Wang
, Zhou Wu
, Hongtuo Qi
, Liang Feng
, Jiepeng Liu
:
A Data-Driven Intelligent System for Mobile Detection of Infrastructure Construction Quality. IEEE Trans. Instrum. Meas. 74: 1-13 (2025) - 2024
- [j83]Tao Tan, Hong Xie
, Liang Feng:
Q-learning with heterogeneous update strategy. Inf. Sci. 656: 119902 (2024) - [j82]Yinglan Feng
, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan:
Towards multi-objective high-dimensional feature selection via evolutionary multitasking. Swarm Evol. Comput. 89: 101618 (2024) - [j81]Junjun Wu, Hanshi Yang, Yan Zeng, Zhou Wu
, Jiepeng Liu, Liang Feng
:
A Twin Learning Framework for Traveling Salesman Problem Based on Autoencoder, Graph Filter, and Transfer Learning. IEEE Trans. Consumer Electron. 70(1): 3245-3258 (2024) - [j80]Lei Zhou
, Liang Feng, Kay Chen Tan
, Jinghui Zhong
, Zexuan Zhu
, Kai Liu
, Chao Chen
:
Corrections to "Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation". IEEE Trans. Cybern. 54(11): 7116 (2024) - [j79]Huan Zhang
, Jinliang Ding
, Liang Feng, Kay Chen Tan
, Ke Li:
Solving Expensive Optimization Problems in Dynamic Environments With Meta-Learning. IEEE Trans. Cybern. 54(12): 7430-7442 (2024) - [j78]Wu Lin, Qiuzhen Lin
, Liang Feng
, Kay Chen Tan
:
Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking. IEEE Trans. Evol. Comput. 28(2): 388-402 (2024) - [j77]Xun Zhou
, Zhenkun Wang
, Liang Feng, Songbai Liu
, Ka-Chun Wong
, Kay Chen Tan
:
Toward Evolutionary Multitask Convolutional Neural Architecture Search. IEEE Trans. Evol. Comput. 28(3): 682-695 (2024) - [j76]Yuxiao Huang
, Wei Zhou, Yu Wang, Min Li
, Liang Feng
, Kay Chen Tan
:
Evolutionary Multitasking With Centralized Learning for Large-Scale Combinatorial Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(5): 1499-1513 (2024) - [j75]Yinglan Feng
, Liang Feng, Sam Kwong
, Kay Chen Tan
:
A Multiform Evolutionary Search Paradigm for Bilevel Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(6): 1719-1732 (2024) - [j74]Xiaoming Xue
, Cuie Yang
, Liang Feng, Kai Zhang, Linqi Song
, Kay Chen Tan
:
Solution Transfer in Evolutionary Optimization: An Empirical Study on Sequential Transfer. IEEE Trans. Evol. Comput. 28(6): 1776-1793 (2024) - [j73]Xuefeng Chen
, Liang Feng
, Xin Cao
, Yifeng Zeng
, Yaqing Hou
, Zhi Zhang
:
Budgeted Sequence Submodular Maximization With Uniform and Non-Uniform Costs. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 503-518 (2024) - [j72]Gengzhi Zhang
, Liang Feng, Yu Wang, Min Li
, Hong Xie
, Kay Chen Tan
:
Reinforcement Learning With Adaptive Policy Gradient Transfer Across Heterogeneous Problems. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2213-2227 (2024) - [c73]Yinglan Feng, Liang Feng, Xiaoming Xue, Sam Kwong, Kay Chen Tan:
A Review on Evolutionary Multiform Transfer Optimization. CEC 2024: 1-8 - [c72]Xiaoming Xue, Liang Feng, Cuie Yang, Songbai Liu, Linqi Song, Kay Chen Tan:
Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results. CEC 2024: 1-8 - [c71]Yang Li, Sihan Zhou, Yaqing Hou, Liran Zhou, Hongwei Ge, Liang Feng, Siyu Wang:
Self-Attention Guided Advice Distillation in Multi-Agent Deep Reinforcement Learning. IJCNN 2024: 1-8 - [i23]Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan:
Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking. CoRR abs/2401.01563 (2024) - [i22]Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan:
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap. CoRR abs/2401.10034 (2024) - [i21]Yuxiao Huang, Wenjie Zhang, Liang Feng, Xingyu Wu, Kay Chen Tan:
How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems. CoRR abs/2403.01757 (2024) - [i20]Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan:
Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models. CoRR abs/2404.06290 (2024) - [i19]Yu Zhou, Xingyu Wu, Beicheng Huang, Jibin Wu, Liang Feng, Kay Chen Tan:
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models. CoRR abs/2404.06349 (2024) - [i18]Yuxiao Huang, Sheng-Hao Wu, Wenjie Zhang, Jibin Wu, Liang Feng, Kay Chen Tan:
Towards Next Era of Multi-objective Optimization: Large Language Models as Architects of Evolutionary Operators. CoRR abs/2406.08987 (2024) - [i17]Sheng-Hao Wu, Yuxiao Huang, Xingyu Wu, Liang Feng, Zhi-Hui Zhan, Kay Chen Tan:
Learning to Transfer for Evolutionary Multitasking. CoRR abs/2406.14359 (2024) - [i16]Xiaoming Xue, Yao Hu, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan:
Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization. CoRR abs/2408.07176 (2024) - [i15]Xun Zhou, Liang Feng, Xingyu Wu, Zhichao Lu, Kay Chen Tan:
Design Principle Transfer in Neural Architecture Search via Large Language Models. CoRR abs/2408.11330 (2024) - [i14]Yuxiao Huang, Xuebin Lv, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan:
Advancing Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models. CoRR abs/2409.04270 (2024) - [i13]Yu Zhou, Xingyu Wu, Jibin Wu, Liang Feng, Kay Chen Tan:
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models. CoRR abs/2409.18893 (2024) - 2023
- [j71]Pengkun Liu
, Hongtuo Qi, Jiepeng Liu, Liang Feng, Dongsheng Li, Jingjing Guo:
Automated clash resolution for reinforcement steel design in precast concrete wall panels via generative adversarial network and reinforcement learning. Adv. Eng. Informatics 58: 102131 (2023) - [j70]Xingyi Zhang, Ran Cheng, Liang Feng, Yaochu Jin:
Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial]. IEEE Comput. Intell. Mag. 18(2): 16-17 (2023) - [j69]Liang Feng
, Qingxia Shang, Yaqing Hou
, Kay Chen Tan
, Yew-Soon Ong
:
Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems. IEEE Trans. Artif. Intell. 4(1): 107-120 (2023) - [j68]Songbai Liu
, Qiuzhen Lin
, Liang Feng
, Ka-Chun Wong
, Kay Chen Tan
:
Evolutionary Multitasking for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(4): 863-877 (2023) - [j67]Wei Zhou
, Yong Liu
, Min Li
, Yu Wang, Zhiqi Shen
, Liang Feng
, Zexuan Zhu
:
Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1228-1241 (2023) - [j66]Junwei Dong, Boyu Hou
, Liang Feng
, Huajin Tang, Kay Chen Tan
, Yew-Soon Ong
:
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9040-9053 (2023) - [j65]Yuxiao Huang
, Liang Feng
, Min Li
, Yu Wang, Zexuan Zhu
, Kay Chen Tan
:
Fast Vehicle Routing via Knowledge Transfer in a Reproducing Kernel Hilbert Space. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5404-5416 (2023) - [c70]Jinlin Jiang, Yongchao Chen, Wenbin Pei, Junxiang Zhang, Yaqing Hou, Hongwei Ge, Liang Feng:
Surrogate-Assisted Morphology Optimization by Genetic Algorithms. CEC 2023: 1-8 - [c69]Xiaoqing Chen, Chengyu Wang, Junwei Dong, Minghui Qiu, Liang Feng, Jun Huang:
Boosting Prompt-Based Few-Shot Learners Through Out-of-Domain Knowledge Distillation. ICASSP 2023: 1-5 - [c68]Boyu Hou
, Chengyu Wang, Xiaoqing Chen, Minghui Qiu, Liang Feng, Jun Huang:
Prompt-Distiller: Few-Shot Knowledge Distillation for Prompt-Based Language Learners with Dual Contrastive Learning. ICASSP 2023: 1-5 - [c67]Longze He, Boyu Hou
, Junwei Dong, Liang Feng:
Two-stage Neural Architecture Optimization with Separated Training and Search. IJCNN 2023: 1-8 - [c66]Hanshi Yang, Xin Zhang, Liang Feng, Zhou Wu, Choujun Zhan:
A Twin Learning Evolutionary Algorithm for Capacitated Vehicle Routing Problem. NCAA (1) 2023: 442-454 - [i12]Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan:
A Scalable Test Problem Generator for Sequential Transfer Optimization. CoRR abs/2304.08503 (2023) - [i11]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) - 2022
- [j64]Qingxia Shang, Yuxiao Huang
, Yu Wang, Min Li, Liang Feng
:
Solving vehicle routing problem by memetic search with evolutionary multitasking. Memetic Comput. 14(1): 31-44 (2022) - [j63]Qingxia Shang, Yuxiao Huang
, Junwei Dong, Yaqing Hou, Yu Wang, Min Li, Liang Feng
:
Multi-space evolutionary search with dynamic resource allocation strategy for large-scale optimization. Neural Comput. Appl. 34(10): 7673-7689 (2022) - [j62]Liang Feng
, Wei Zhou
, Weichen Liu
, Yew-Soon Ong
, Kay Chen Tan
:
Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search. IEEE Trans. Cybern. 52(5): 2649-2662 (2022) - [j61]Xiaoming Xue
, Kai Zhang
, Kay Chen Tan
, Liang Feng
, Jian Wang
, Guodong Chen
, Xinggang Zhao, Liming Zhang, Jun Yao
:
Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems. IEEE Trans. Cybern. 52(7): 6217-6231 (2022) - [j60]Yinglan Feng, Liang Feng
, Sam Kwong
, Kay Chen Tan
:
A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(2): 248-262 (2022) - [j59]Yuxiao Huang
, Liang Feng
, Alex Kai Qin
, Meng Chen, Kay Chen Tan
:
Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm. IEEE Trans. Evol. Comput. 26(3): 585-598 (2022) - [j58]Wei Zhou
, Liang Feng
, Kay Chen Tan
, Min Jiang
, Yong Liu
:
Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(5): 911-925 (2022) - [j57]Jinghui Zhong
, Jiaquan Yang, Yongliang Chen
, Wei-Li Liu
, Liang Feng
:
Mining Implicit Equations From Data Using Gene Expression Programming. IEEE Trans. Emerg. Top. Comput. 10(2): 1058-1074 (2022) - [j56]Liang Feng
, Yuxiao Huang
, Ivor W. Tsang
, Abhishek Gupta
, Ke Tang
, Kay Chen Tan
, Yew-Soon Ong
:
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. IEEE Trans. Intell. Transp. Syst. 23(2): 952-965 (2022) - [j55]Zhou Wu
, Junjun Wu
, Yuguang Chen, Kai Liu
, Liang Feng
:
Network Rebalance and Operational Efficiency of Sharing Transportation System: Multi-Objective Optimization and Model Predictive Control Approaches. IEEE Trans. Intell. Transp. Syst. 23(10): 17119-17129 (2022) - [j54]Qin-zhe Xiao
, Jinghui Zhong
, Liang Feng
, Linbo Luo
, Jianming Lv
:
A Cooperative Coevolution Hyper-Heuristic Framework for Workflow Scheduling Problem. IEEE Trans. Serv. Comput. 15(1): 150-163 (2022) - [j53]Jiadi Liu
, Songtao Guo
, Kai Liu
, Liang Feng
:
Resource Provision and Allocation Based on Microeconomic Theory in Mobile Edge Computing. IEEE Trans. Serv. Comput. 15(3): 1512-1525 (2022) - [c65]Cuixin Ma, Wei-Li Liu, Jinghui Zhong, Liang Feng:
Comparison Analysis on Techniques of Preprocessing Imbalanced Data for Symbolic Regression. ChineseCSCW (2) 2022: 256-270 - [c64]Haokai Hong
, Min Jiang, Liang Feng, Qiuzhen Lin
, Kay Chen Tan
:
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. CEC 2022: 1-8 - [c63]Xuefeng Chen, Xin Cao
, Yifeng Zeng, Yixiang Fang
, Sibo Wang
, Xuemin Lin, Liang Feng:
Constrained Path Search with Submodular Function Maximization. ICDE 2022: 325-337 - [c62]Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou:
Budgeted Sequence Submodular Maximization. IJCAI 2022: 4733-4739 - [c61]Qisen Zhang, Kai Liu, Luyao Jiang, Chengliang Zhong, Liang Feng, Hao Zhang, Ke Xiao:
UAV-Assisted Blind Area Pedestrian Detection via Terminal-Edge-Cloud Cooperation in VANETs. NCAA (2) 2022: 314-330 - [i10]Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin
, Kay Chen Tan:
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. CoRR abs/2205.10052 (2022) - 2021
- [j52]Dongsheng Li
, Jiepeng Liu, Liang Feng
, Yang Zhou, Hongtuo Qi, Y. Frank Chen:
Automatic modeling of prefabricated components with laser-scanned data for virtual trial assembly. Comput. Aided Civ. Infrastructure Eng. 36(4): 453-471 (2021) - [j51]Kay Chen Tan
, Liang Feng, Min Jiang:
Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research. IEEE Comput. Intell. Mag. 16(1): 22-33 (2021) - [j50]Handing Wang
, Liang Feng, Yaochu Jin
, John Doherty
:
Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios. IEEE Comput. Intell. Mag. 16(1): 34-48 (2021) - [j49]Chao Chen
, Liping Gao, Xuefeng Xie, Liang Feng, Yasha Wang:
2TD Path-Planner: Towards a More Realistic Path Planning System over Two-Fold Time-Dependent Road Networks [Application Notes]. IEEE Comput. Intell. Mag. 16(2): 78-98 (2021) - [j48]Liang Feng, Handing Wang
, Yew-Soon Ong, Kay Chen Tan
, Yaochu Jin:
[Guest Editorial]. IEEE Comput. Intell. Mag. 16(4): 17-18 (2021) - [j47]Ray Lim
, Abhishek Gupta
, Yew-Soon Ong
, Liang Feng, Allan N. Zhang:
Non-linear Domain Adaptation in Transfer Evolutionary Optimization. Cogn. Comput. 13(2): 290-307 (2021) - [j46]Ke Xiao, Kai Liu, Xincao Xu
, Yi Zhou, Liang Feng:
Efficient fog-assisted heterogeneous data services in software defined VANETs. J. Ambient Intell. Humaniz. Comput. 12(1): 261-273 (2021) - [j45]Ling Wang
, Liang Feng:
Guest Editorial: Special issue on memetic algorithms with learning strategy. Memetic Comput. 13(2): 147-148 (2021) - [j44]Liangjie Zhang, Yuling Xie, Jianjun Chen, Liang Feng, Chao Chen, Kai Liu:
A study on multiform multi-objective evolutionary optimization. Memetic Comput. 13(3): 307-318 (2021) - [j43]Ke Xiao, Kai Liu
, Xincao Xu
, Liang Feng, Zhou Wu, Qiangwei Zhao:
Cooperative coding and caching scheduling via binary particle swarm optimization in software-defined vehicular networks. Neural Comput. Appl. 33(5): 1467-1478 (2021) - [j42]Zhou Wu
, Junjun Wu, Mingbo Zhao, Liang Feng, Kai Liu:
Two-layered ant colony system to improve engraving robot's efficiency based on a large-scale TSP model. Neural Comput. Appl. 33(12): 6939-6949 (2021) - [j41]Lei Zhou
, Liang Feng
, Kay Chen Tan
, Jinghui Zhong
, Zexuan Zhu
, Kai Liu
, Chao Chen
:
Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation. IEEE Trans. Cybern. 51(5): 2563-2576 (2021) - [j40]Liang Feng
, Yuxiao Huang
, Lei Zhou
, Jinghui Zhong
, Abhishek Gupta
, Ke Tang
, Kay Chen Tan
:
Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem. IEEE Trans. Cybern. 51(6): 3143-3156 (2021) - [j39]Liang Feng
, Lei Zhou
, Abhishek Gupta
, Jinghui Zhong
, Zexuan Zhu
, Kay Chen Tan
, Alex Kai Qin
:
Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking. IEEE Trans. Cybern. 51(6): 3171-3184 (2021) - [j38]Lei Zhou
, Liang Feng
, Abhishek Gupta
, Yew-Soon Ong
:
Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding. IEEE Trans. Evol. Comput. 25(3): 567-581 (2021) - [c60]Gengzhi Zhang, Liang Feng, Yaqing Hou:
Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic. ACML 2021: 580-593 - [c59]Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan
, Sam Kwong
:
EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding. CEC 2021: 1672-1679 - [c58]Yumeng Cao, Yaqing Hou, Liang Feng, Hongwei Ge, Qiang Zhang
, Xiaopeng Wei:
A Study on Realtime Task Selection Based on Credit Information Updating in Evolutionary Multitasking. EMO 2021: 480-491 - [c57]Dong Wang, Kai Liu, Liang Feng, Penglin Dai, Weiwei Wu, Songtao Guo:
Evolutionary Multitasking for Cross-domain Task Optimization via Vehicular Edge Computing. GLOBECOM 2021: 1-6 - [c56]Boyu Hou
, Junwei Dong, Liang Feng, Minghui Qiu:
Efficient Two-Stage Evolutionary Search of Convolutional Neural Architectures Based on Cell Independence Analysis. ICONIP (5) 2021: 599-607 - [c55]Pei Yao, Liang Feng:
Integrating Policy Reuse with Learning from Demonstrations for Knowledge Transfer in Deep Reinforcement Learning. ICONIP (5) 2021: 659-667 - [c54]Kaige Zhang, Yaqing Hou, Hua Yu, Wenxuan Zhu, Liang Feng, Qiang Zhang
:
Pheromone Based Independent Reinforcement Learning for Multiagent Navigation. NCAA 2021: 44-58 - [c53]Xia Chen, Yuxiao Huang
, Wei Zhou, Liang Feng:
Evolutionary Multitasking via Artificial Neural Networks. SMC 2021: 1545-1552 - [i9]Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong:
Multi-Space Evolutionary Search for Large-Scale Optimization. CoRR abs/2102.11693 (2021) - 2020
- [j37]Qian Li, Zhou Wu
, Rui Ling, Liang Feng, Kai Liu:
Multi-reservoir echo state computing for solar irradiance prediction: A fast yet efficient deep learning approach. Appl. Soft Comput. 95: 106481 (2020) - [j36]Jinghui Zhong, Zhixing Huang
, Liang Feng, Wan Du, Ying Li:
A hyper-heuristic framework for lifetime maximization in wireless sensor networks with a mobile sink. IEEE CAA J. Autom. Sinica 7(1): 223-236 (2020) - [j35]Jiadi Liu
, Songtao Guo
, Yawei Shi, Liang Feng
, Cong Wang:
Decentralized Caching Framework Toward Edge Network Based on Blockchain. IEEE Internet Things J. 7(9): 9158-9174 (2020) - [j34]Xincao Xu
, Kai Liu, Ke Xiao, Liang Feng, Zhou Wu, Songtao Guo:
Vehicular Fog Computing Enabled Real-Time Collision Warning via Trajectory Calibration. Mob. Networks Appl. 25(6): 2482-2494 (2020) - [j33]Hao Zhang, Kai Liu
, Feiyu Jin, Liang Feng, Victor C. S. Lee, Joseph Kee-Yin Ng:
A scalable indoor localization algorithm based on distance fitting and fingerprint mapping in Wi-Fi environments. Neural Comput. Appl. 32(9): 5131-5145 (2020) - [j32]Zhixing Huang
, Jinghui Zhong
, Liang Feng, Yi Mei
, Wentong Cai
:
A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression. Soft Comput. 24(10): 7523-7539 (2020) - [j31]Jieru Zhao
, Liang Feng, Sharad Sinha
, Wei Zhang, Yun Liang
, Bingsheng He
:
Performance Modeling and Directives Optimization for High-Level Synthesis on FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(7): 1428-1441 (2020) - [j30]Yongliang Chen
, Jinghui Zhong
, Liang Feng
, Jun Zhang
:
An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 4(3): 369-384 (2020) - [j29]Chao Chen
, Yan Ding, Xuefeng Xie, Shu Zhang
, Zhu Wang
, Liang Feng
:
TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change. IEEE Trans. Intell. Transp. Syst. 21(5): 2012-2028 (2020) - [j28]Chengyu Lu
, Jinghui Zhong
, Yinxing Xue, Liang Feng
, Jun Zhang
:
Ant Colony System With Sorting-Based Local Search for Coverage-Based Test Case Prioritization. IEEE Trans. Reliab. 69(3): 1004-1020 (2020) - [j27]Jinghui Zhong
, Liang Feng
, Wentong Cai
, Yew-Soon Ong
:
Multifactorial Genetic Programming for Symbolic Regression Problems. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4492-4505 (2020) - [c52]Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan:
Large-Scale optimization via Evolutionary Multitasking assisted Random Embedding. CEC 2020: 1-8 - [c51]Ruihua Zeng, Zhixing Huang
, Yongliang Chen, Jinghui Zhong, Liang Feng:
Comparison of Different Computing Platforms for Implementing Parallel Genetic Programming. CEC 2020: 1-8 - [c50]Wei Zhou, Liang Feng, Zexuan Zhu, Kai Liu, Chao Chen, Zhou Wu:
Tracking Moving Optima of Dynamic Multi-objective Problem via Prediction in Objective Space. CEC 2020: 1-8 - [c49]Jieru Zhao, Tingyuan Liang, Liang Feng, Wenchao Ding, Sharad Sinha, Wei Zhang, Shaojie Shen:
FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications. FPL 2020: 269-276 - [c48]Wenxuan Zhu
, Yaqing Hou, Qiang Zhang, Hongwei Ge, Xin Yang, Liang Feng, Xinghua Qu:
A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling. IJCNN 2020: 1-7 - [c47]Yan Zeng, Zhou Wu, Jiepeng Liu, Liang Feng:
Point Cloud Simplification based on Decomposed Graph Filtering. INDIN 2020: 725-728 - [c46]Yi Zhou, Kai Liu, Xincao Xu
, Chunhui Liu, Liang Feng, Chao Chen:
Multi-period Distributed Delay-Sensitive Tasks Offloading in a Two-Layer Vehicular Fog Computing Architecture. NCAA 2020: 461-474 - [c45]Lingyu Huang, Liang Feng, Handing Wang
, Yaqing Hou, Kai Liu, Chao Chen:
A Preliminary Study of Improving Evolutionary Multi-Objective Optimization via Knowledge Transfer from Single-Objective Problems. SMC 2020: 1552-1559 - [c44]Junwei Dong, Liangjie Zhang, Boyu Hou, Liang Feng:
A Memetic Algorithm for Evolving Deep Convolutional Neural Network in Image Classification. SSCI 2020: 2663-2669 - [i8]Zhengping Liang, Jian Zhang, Liang Feng, Zexuan Zhu:
Multi-factorial Optimization for Large-scale Virtual Machine Placement in Cloud Computing. CoRR abs/2001.06585 (2020) - [i7]Xincao Xu, Kai Liu, Ke Xiao, Liang Feng, Zhou Wu, Songtao Guo:
Vehicular Fog Computing Enabled Real-time Collision Warning via Trajectory Ca