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ORCIDQingfu Zhang 0001
Person information
- affiliation: City University of Hong Kong, Department of Computer Science, Hong Kong
- affiliation (former): University of Essex, Department of Computer, UK
- affiliation (PhD 1994): Xidian University, Xi'an, China
Other persons with the same name
- Qingfu Zhang 0002 — China University of Petroleum (East China), Qingdao, China
- Qingfu Zhang 0003 — Third Research Institute of the Ministry of Public Security, Shanghai, China
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2020 – today
- 2024
[j176]Lin Gui
, Xinyu Li, Qingfu Zhang, Liang Gao:
A uniform sampling method for permutation space. Ann. Oper. Res. 338(2): 925-945 (2024)- [j175]Zhenkun Wang, Qingyan Li, Genghui Li, Qingfu Zhang:
Multi-objective decomposition evolutionary algorithm with objective modification-based dominance and external archive. Appl. Soft Comput. 149(Part A): 111006 (2024) - [j174]Bo Li, Jianmei Wang, Chao Song, Zhipeng Yang, Kaifang Wan, Qingfu Zhang:
Multi-UAV roundup strategy method based on deep reinforcement learning CEL-MADDPG algorithm. Expert Syst. Appl. 245: 123018 (2024) - [j173]Yuhao Kang, Jialong Shi, Jianyong Sun, Qingfu Zhang, Ye Fan:
New techniques to improve neighborhood exploration in pareto local search. Expert Syst. Appl. 254: 124296 (2024) - [j172]Zidong Wang, Xiaoguang Gao, Xiaohan Liu, Xinxin Ru, Qingfu Zhang:
Incorporating structural constraints into continuous optimization for causal discovery. Neurocomputing 595: 127902 (2024) - [j171]Yuxiang Shui, Hui Li, Jianyong Sun, Qingfu Zhang:
Approximating robust Pareto fronts by the MEOF-based multiobjective evolutionary algorithm with two-level surrogate models. Inf. Sci. 657: 119946 (2024) - [j170]Zhenkun Wang, Shunyu Yao, Genghui Li, Qingfu Zhang:
Multiobjective Combinatorial Optimization Using a Single Deep Reinforcement Learning Model. IEEE Trans. Cybern. 54(3): 1984-1996 (2024) - [j169]Jialong Shi, Jianyong Sun, Qingfu Zhang, Haotian Zhang, Ye Fan:
Improving Pareto Local Search Using Cooperative Parallelism Strategies for Multiobjective Combinatorial Optimization. IEEE Trans. Cybern. 54(4): 2369-2382 (2024) - [j168]Hu Peng, Fanrong Kong, Qingfu Zhang:
Micro Multiobjective Evolutionary Algorithm With Piecewise Strategy for Embedded-Processor-Based Industrial Optimization. IEEE Trans. Cybern. 54(8): 4763-4774 (2024) - [j167]Liang Zhao, Qingfu Zhang:
Hypervolume-Guided Decomposition for Parallel Expensive Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(2): 432-444 (2024) - [j166]Yayu Zhang, Yuhua Qian, Guoshuai Ma, Xinyan Liang, Guoqing Liu, Qingfu Zhang, Ke Tang:
ESSR: Evolving Sparse Sharing Representation for Multitask Learning. IEEE Trans. Evol. Comput. 28(3): 748-762 (2024) - [j165]Jingda Deng, Qingfu Zhang, Jianyong Sun, Hui Li:
A Fast Exact Algorithm for Computing the Hypervolume Contributions in 4-D Space. IEEE Trans. Evol. Comput. 28(4): 876-890 (2024) - [j164]Xianpeng Wang, Yao Wang, Lixin Tang, Qingfu Zhang:
Multiobjective Ensemble Learning With Multiscale Data for Product Quality Prediction in Iron and Steel Industry. IEEE Trans. Evol. Comput. 28(4): 1099-1113 (2024) - [j163]Genghui Li, Zhenkun Wang, Jianyong Sun, Qingfu Zhang:
Objective Extraction for Simplifying Many-Objective Solution Sets. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 337-349 (2024) - [j162]Zhiyuan Yang, Qingfu Zhang:
Discovering Interpretable Latent Space Directions for 3D-Aware Image Generation. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2570-2580 (2024) - [j161]Pei-Qiu Huang, Shaoda Zeng, Xilei Wu, Hai-Lin Liu, Qingfu Zhang:
A Multiobjective Evolutionary Algorithm for Network Planning in In-Building Distributed Antenna Systems. IEEE Trans. Netw. Sci. Eng. 11(3): 3002-3014 (2024) - [c161]Ji Cheng, Bo Xue, Jiaxiang Yi, Qingfu Zhang:
Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits. AAAI 2024: 11489-11497 - [c160]Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Qingfu Zhang:
Multiobjective Lipschitz Bandits under Lexicographic Ordering. AAAI 2024: 16238-16246 - [c159]Yayu Zhang, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu, Qingfu Zhang:
Learning Multi-Task Sparse Representation Based on Fisher Information. AAAI 2024: 16899-16907 - [c158]Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Interactive Final Solution Selection in Multi-Objective Optimization. CEC 2024: 1-9 - [c157]Chengyu Lu, Yilu Liu, Qingfu Zhang:
MOEA/D-CMA Made Better with (l+l)-CMA-ES. CEC 2024: 1-8 - [c156]Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang, Ye Fan:
On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP. CEC 2024: 1-8 - [c155]Xilei Wu, Pei-Qiu Huang, Linqi Song, Hai-Lin Liu, Qingfu Zhang:
Multiobjective Bayesian Optimization for Antenna Placement in In-Building Distributed Antenna System. CEC 2024: 1-8 - [c154]Yiming Yao, Fei Liu, Qingfu Zhang:
High-Throughput Multi-Objective Bayesian Optimization using Gradients. CEC 2024: 1-8 - [c153]Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi:
Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. GECCO 2024 - [c152]Zhongtian Luo, Jianpeng Xiong, Hu Peng, Gaosheng Zhan, Qingfu Zhang, Hui Wang, Xinyu Zhou, Wei Li, Ying Huang:
A Micro Dynamic Multi-objective Evolutionary Algorithm for Small-scale Smart Greenhouse with Low-power Microprocessor. GECCO Companion 2024: 687-690 - [c151]Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang:
L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks. GECCO Companion 2024: 1846-1854 - [c150]Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. GECCO 2024 - [c149]Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. GECCO 2024 - [c148]Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Smooth Tchebycheff Scalarization for Multi-Objective Optimization. ICML 2024 - [c147]Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. ICML 2024 - [c146]Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong:
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. ICML 2024 - [c145]Zhe Zhao, Pengkun Wang, Haibin Wen, Wei Xu, Song Lai, Qingfu Zhang, Yang Wang:
Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning. ICML 2024 - [c144]Weiduo Liao, Ying Wei, Qirui Sun, Qingfu Zhang, Hisao Ishibuchi:
A Multi-objective Perspective Towards Improving Meta-Generalization. IJCNN 2024: 1-10 - [c143]Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. KDD 2024: 1898-1908 - [c142]Cheng Gong, Ping Guo, Tianye Shu, Qingfu Zhang, Hisao Ishibuchi:
LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection. PPSN (4) 2024: 36-51 - [c141]Cheng Gong, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi:
Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms. PPSN (4) 2024: 52-67 - [c140]Yilu Liu, Chengyu Lu, Xi Lin, Qingfu Zhang:
Many-Objective Cover Problem: Discovering Few Solutions to Cover Many Objectives. PPSN (4) 2024: 68-82 - [c139]Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. PPSN (2) 2024: 185-202 - [c138]Yiming Yao, Fei Liu, Ji Cheng, Qingfu Zhang:
Evolve Cost-Aware Acquisition Functions Using Large Language Models. PPSN (2) 2024: 374-390 - [i55]Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. CoRR abs/2401.02051 (2024) - [i54]Ping Guo, Zhiyuan Yang, Xi Lin, Qingchuan Zhao, Qingfu Zhang:
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks. CoRR abs/2401.10586 (2024) - [i53]Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang:
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks. CoRR abs/2401.15335 (2024) - [i52]Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang, Ziran Yang, Qingfu Zhang, Siyuan Qi, Yaodong Yang:
Panacea: Pareto Alignment via Preference Adaptation for LLMs. CoRR abs/2402.02030 (2024) - [i51]Xiaoyuan Zhang, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang:
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition. CoRR abs/2402.09486 (2024) - [i50]Xiaoyuan Zhang, Xi Lin, Qingfu Zhang:
PMGDA: A Preference-based Multiple Gradient Descent Algorithm. CoRR abs/2402.09492 (2024) - [i49]Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. CoRR abs/2402.16891 (2024) - [i48]Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Smooth Tchebycheff Scalarization for Multi-Objective Optimization. CoRR abs/2402.19078 (2024) - [i47]Ping Guo, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang:
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. CoRR abs/2403.05100 (2024) - [i46]Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Self-Improved Learning for Scalable Neural Combinatorial Optimization. CoRR abs/2403.19561 (2024) - [i45]Ping Guo, Qingfu Zhang, Xi Lin:
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. CoRR abs/2404.00251 (2024) - [i44]Zhe Zhao, Pengkun Wang, Xu Wang, Haibin Wen, Xiaolong Xie, Zhengyang Zhou, Qingfu Zhang, Yang Wang:
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks. CoRR abs/2404.14941 (2024) - [i43]Yiming Yao, Fei Liu, Ji Cheng, Qingfu Zhang:
Evolve Cost-aware Acquisition Functions Using Large Language Models. CoRR abs/2404.16906 (2024) - [i42]Changliang Zhou, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. CoRR abs/2405.01906 (2024) - [i41]Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Prompt Learning for Generalized Vehicle Routing. CoRR abs/2405.12262 (2024) - [i40]Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. CoRR abs/2405.19650 (2024) - [i39]Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong:
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. CoRR abs/2406.03944 (2024) - [i38]Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. CoRR abs/2407.10873 (2024) - [i37]Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Zhenkun Wang, Han Zhao, Qingfu Zhang:
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch. CoRR abs/2409.02969 (2024) - 2023
- [j160]Bilel Derbel, Geoffrey Pruvost, Arnaud Liefooghe, Sébastien Vérel, Qingfu Zhang:
Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions. Appl. Soft Comput. 136: 110061 (2023) - [j159]Haotian Zhang, Jianyong Sun, Thomas Bäck, Qingfu Zhang, Zongben Xu:
Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]. IEEE Comput. Intell. Mag. 18(1): 84-103 (2023) - [j158]Maoguo Gong, Tongfei Liu, Mingyang Zhang, Qingfu Zhang, Di Lu, Hanhong Zheng, Fenlong Jiang:
Context-content collaborative network for building extraction from high-resolution imagery. Knowl. Based Syst. 263: 110283 (2023) - [j157]Xiaohan Liu, Xiaoguang Gao, Zidong Wang, Xinxin Ru, Qingfu Zhang:
A metaheuristic causal discovery method in directed acyclic graphs space. Knowl. Based Syst. 276: 110749 (2023) - [j156]Fei Liu, Qingfu Zhang, Zhonghua Han:
MOEA/D with gradient-enhanced kriging for expensive multiobjective optimization. Nat. Comput. 22(2): 329-339 (2023) - [j155]Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang:
Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1798-1816 (2023) - [j154]Hu Peng, Changrong Mei, Sixiang Zhang, Zhongtian Luo, Qingfu Zhang, Zhijian Wu:
Multi-strategy dynamic multi-objective evolutionary algorithm with hybrid environmental change responses. Swarm Evol. Comput. 82: 101356 (2023) - [j153]Zhenkun Wang, Qingfu Zhang, Yew-Soon Ong, Shunyu Yao, Haitao Liu, Jianping Luo:
Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. IEEE Trans. Cybern. 53(1): 483-496 (2023) - [j152]Pei-Qiu Huang, Yong Wang, Kezhi Wang, Qingfu Zhang:
Combining Lyapunov Optimization With Evolutionary Transfer Optimization for Long-Term Energy Minimization in IRS-Aided Communications. IEEE Trans. Cybern. 53(4): 2647-2657 (2023) - [j151]Wei Zheng, Jianyong Sun, Qingfu Zhang, Zongben Xu:
Continuous Encoding for Overlapping Community Detection in Attributed Network. IEEE Trans. Cybern. 53(9): 5469-5482 (2023) - [j150]Xianpeng Wang, Zhiming Dong, Lixin Tang, Qingfu Zhang:
Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer. IEEE Trans. Evol. Comput. 27(1): 155-169 (2023) - [j149]Genghui Li, Zhenkun Wang, Qingfu Zhang, Jianyong Sun:
Offline and Online Objective Reduction via Gaussian Mixture Model Clustering. IEEE Trans. Evol. Comput. 27(2): 341-354 (2023) - [j148]Shaolong Shi, Yifan Chen, Jurong Ding, Qiang Liu, Qingfu Zhang:
Dynamic In Vivo Computation for Learning-Based Nanobiosensing in Time-Varying Biological Landscapes. IEEE Trans. Evol. Comput. 27(4): 1100-1114 (2023) - [j147]Xinye Cai, Kang Wang, Yi Mei, Zhenhua Li, Jun Zhao, Qingfu Zhang:
Decomposition-Based Lin-Kernighan Heuristic With Neighborhood Structure Transfer for Multi/Many-Objective Traveling Salesman Problem. IEEE Trans. Evol. Comput. 27(6): 1604-1617 (2023) - [j146]Pei-Qiu Huang, Qingfu Zhang, Yong Wang:
Bilevel Optimization via Collaborations Among Lower-Level Optimization Tasks. IEEE Trans. Evol. Comput. 27(6): 1837-1850 (2023) - [j145]Zhenhua Li, Huilin Cheng, Xinye Cai, Jun Zhao, Qingfu Zhang:
SA-ES: Subspace Activation Evolution Strategy for Black-Box Adversarial Attacks. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 780-790 (2023) - [j144]Xin Liu, Jianyong Sun, Qingfu Zhang, Zhenkun Wang, Zongben Xu:
Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution. IEEE Trans. Emerg. Top. Comput. Intell. 7(6): 1605-1620 (2023) - [j143]Honghong Cheng, Yuhua Qian, Yingjie Guo, Keyin Zheng, Qingfu Zhang:
Neighborhood Information-Based Method for Multivariate Association Mining. IEEE Trans. Knowl. Data Eng. 35(6): 6126-6135 (2023) - [c137]Shaolong Shi, Yifan Chen, Zhaoyang Jiang, Qiang Liu, Jurong Ding, Qingfu Zhang:
A Novel Computational Nanobiosensing Approach to Improve the Exploitation of In Vivo Computation. CEC 2023: 1-7 - [c136]Yuxiang Shui, Hui Li, Jianyong Sun, Qingfu Zhang:
The Combination of MOEA/D and WOF for Solving High-Dimensional Expensive Multiobjective Optimization Problems. CEC 2023: 1-8 - [c135]Yiwen Wang, Fei Liu, Qingfu Zhang:
A Decomposition-Based Hybrid Algorithm for Multi-objective Vehicle Routing Problem with Time Windows. CEC 2023: 1-8 - [c134]Liang Zhao, Qingfu Zhang:
Exact Formulas for the Computation of Expected Tchebycheff Improvement. CEC 2023: 1-8 - [c133]Fei Liu, Qingfu Zhang:
A Two-Stage Algorithm for Integer Multiobjective Simulation Optimization. EMO 2023: 17-28 - [c132]Ping Guo, Qingfu Zhang, Xi Lin:
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. EMO 2023: 247-259 - [c131]Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi:
Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. GECCO 2023: 661-669 - [c130]Zhiyuan Yang, Qingfu Zhang:
Towards Modeling 3D Dense Shape Correspondence from Category-Specific Multi-View Images. ICIP 2023: 445-449 - [c129]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Continuation Path Learning for Homotopy Optimization. ICML 2023: 21288-21311 - [c128]Weiduo Liao, Ying Wei, Mingchen Jiang, Qingfu Zhang, Hisao Ishibuchi:
Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework. NeurIPS 2023 - [c127]Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang:
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. NeurIPS 2023 - [c126]Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, Qingfu Zhang:
Hypervolume Maximization: A Geometric View of Pareto Set Learning. NeurIPS 2023 - [c125]Cheng Gong, Lie Meng Pang, Yang Nan, Hisao Ishibuchi, Qingfu Zhang:
Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms. SMC 2023: 1168-1175 - [c124]Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization. SSCI 2023: 1398-1405 - [c123]Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search. SSCI 2023: 1821-1828 - [i36]Fei Liu, Chengyu Lu, Lin Gui, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Heuristics for Vehicle Routing Problem: A Survey and Recent Advances. CoRR abs/2303.04147 (2023) - [i35]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Continuation Path Learning for Homotopy Optimization. CoRR abs/2307.12551 (2023) - [i34]Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang:
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. CoRR abs/2310.07985 (2023) - [i33]Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Large Language Model for Multi-objective Evolutionary Optimization. CoRR abs/2310.12541 (2023) - [i32]Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Qingfu Zhang:
Evolutionary Pareto Set Learning with Structure Constraints. CoRR abs/2310.20426 (2023) - [i31]Fei Liu, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Algorithm Evolution Using Large Language Model. CoRR abs/2311.15249 (2023) - 2022
- [j142]Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang:
Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2013-2024 (2022) - [j141]Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Maximum Entropy Subspace Clustering Network. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2199-2210 (2022) - [j140]Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang:
Learning Low-Rank Graph With Enhanced Supervision. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2501-2506 (2022) - [j139]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Self-Supervised Symmetric Nonnegative Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4526-4537 (2022) - [j138]Jialong Shi, Jianyong Sun, Qingfu Zhang, Kai Ye:
Homotopic Convex Transformation: A New Landscape Smoothing Method for the Traveling Salesman Problem. IEEE Trans. Cybern. 52(1): 495-507 (2022) - [j137]Jianping Luo, Liang Chen, Xia Li, Qingfu Zhang:
Novel Multitask Conditional Neural-Network Surrogate Models for Expensive Optimization. IEEE Trans. Cybern. 52(5): 3984-3997 (2022) - [j136]Genghui Li, Qingfu Zhang, Qiuzhen Lin, Weifeng Gao:
A Three-Level Radial Basis Function Method for Expensive Optimization. IEEE Trans. Cybern. 52(7): 5720-5731 (2022) - [j135]Zhifang Wei, Weifeng Gao, Genghui Li, Qingfu Zhang:
A Penalty-Based Differential Evolution for Multimodal Optimization. IEEE Trans. Cybern. 52(7): 6024-6033 (2022) - [j134]Jianyong Sun, Wei Zheng, Qingfu Zhang, Zongben Xu:
Graph Neural Network Encoding for Community Detection in Attribute Networks. IEEE Trans. Cybern. 52(8): 7791-7804 (2022) - [j133]