Qingfu Zhang

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 267

Top Venues

CoRR

IEEE Trans. Evol. Comput.

IEEE Trans. Cybern.

CEC

Publications

Zhiyuan Yang, Qingfu Zhang
Discovering Interpretable Latent Space Directions for 3D-Aware Image Generation. IEEE Trans. Emerg. Top. Comput. Intell. 8 (3) (2024)
Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Prompt Learning for Generalized Vehicle Routing. CoRR (2024)
Xiaoyuan Zhang, Xi Lin, Qingfu Zhang
PMGDA: A Preference-based Multiple Gradient Descent Algorithm. CoRR (2024)
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) (2024)
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)
Liang Zhao, Qingfu Zhang
Hypervolume-Guided Decomposition for Parallel Expensive Multiobjective Optimization. IEEE Trans. Evol. Comput. 28 (2) (2024)
Xiaoyuan Zhang, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition. CoRR (2024)
Yayu Zhang, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu, Qingfu Zhang
Learning Multi-Task Sparse Representation Based on Fisher Information. AAAI (2024)
Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Qingfu Zhang
Multiobjective Lipschitz Bandits under Lexicographic Ordering. AAAI (2024)
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) (2024)
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 (2024)
Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
Interactive Final Solution Selection in Multi-Objective Optimization. CEC (2024)
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 (2024)
Ji Cheng, Bo Xue, Jiaxiang Yi, Qingfu Zhang
Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits. AAAI (2024)
Zidong Wang, Xiaoguang Gao, Xiaohan Liu, Xinxin Ru, Qingfu Zhang
Incorporating structural constraints into continuous optimization for causal discovery. Neurocomputing 595 (2024)
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) (2024)
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)
Ping Guo, Zhiyuan Yang, Xi Lin, Qingchuan Zhao, Qingfu Zhang
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks. CoRR (2024)
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 (2024)
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)
Zhenkun Wang, Shunyu Yao, Genghui Li, Qingfu Zhang
Multiobjective Combinatorial Optimization Using a Single Deep Reinforcement Learning Model. IEEE Trans. Cybern. 54 (3) (2024)
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 (2024)
Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. CoRR (2024)
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) (2024)
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) (2024)
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)
Hu Peng, Fanrong Kong, Qingfu Zhang
Micro Multiobjective Evolutionary Algorithm With Piecewise Strategy for Embedded-Processor-Based Industrial Optimization. IEEE Trans. Cybern. 54 (8) (2024)
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 (2024)
Chengyu Lu, Yilu Liu, Qingfu Zhang
MOEA/D-CMA Made Better with (l+l)-CMA-ES. CEC (2024)
Ping Guo, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. CoRR (2024)
Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks. CoRR (2024)
Ping Guo, Qingfu Zhang, Xi Lin
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. CoRR (2024)
Yiming Yao, Fei Liu, Ji Cheng, Qingfu Zhang
Evolve Cost-aware Acquisition Functions Using Large Language Models. CoRR (2024)
Lin Gui, Xinyu Li, Qingfu Zhang, Liang Gao
A uniform sampling method for permutation space. Ann. Oper. Res. 338 (2) (2024)
Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. GECCO (2024)
Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Self-Improved Learning for Scalable Neural Combinatorial Optimization. CoRR (2024)
Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang, Ziran Yang, Qingfu Zhang, Siyuan Qi, Yaodong Yang
Panacea: Pareto Alignment via Preference Adaptation for LLMs. CoRR (2024)
Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. CoRR (2024)
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)
Yiming Yao, Fei Liu, Qingfu Zhang
High-Throughput Multi-Objective Bayesian Optimization using Gradients. CEC (2024)
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 (2024)
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) (2024)
Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang
Smooth Tchebycheff Scalarization for Multi-Objective Optimization. CoRR (2024)
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)
Changliang Zhou, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. CoRR (2024)
Genghui Li, Zhenkun Wang, Jianyong Sun, Qingfu Zhang
Objective Extraction for Simplifying Many-Objective Solution Sets. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Yuhao Kang, Jialong Shi, Jianyong Sun, Qingfu Zhang, Ye Fan
New techniques to improve neighborhood exploration in pareto local search. Expert Syst. Appl. 254 (2024)
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 (2023)
Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang
Continuation Path Learning for Homotopy Optimization. CoRR (2023)
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) (2023)
Xiaohan Liu, Xiaoguang Gao, Zidong Wang, Xinxin Ru, Qingfu Zhang
A metaheuristic causal discovery method in directed acyclic graphs space. Knowl. Based Syst. 276 (2023)
Fei Liu, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Algorithm Evolution Using Large Language Model. CoRR (2023)
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) (2023)
Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang
Continuation Path Learning for Homotopy Optimization. ICML (2023)
Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search. SSCI (2023)
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)
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) (2023)
Ping Guo, Qingfu Zhang, Xi Lin
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. EMO (2023)
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) (2023)
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) (2023)
Fei Liu, Qingfu Zhang, Zhonghua Han
MOEA/D with gradient-enhanced kriging for expensive multiobjective optimization. Nat. Comput. 22 (2) (2023)
Weiduo Liao, Ying Wei, Mingchen Jiang, Qingfu Zhang, Hisao Ishibuchi
Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework. NeurIPS (2023)
Fei Liu, Qingfu Zhang
A Two-Stage Algorithm for Integer Multiobjective Simulation Optimization. EMO (2023)
Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Qingfu Zhang
Evolutionary Pareto Set Learning with Structure Constraints. CoRR (2023)
Liang Zhao, Qingfu Zhang
Exact Formulas for the Computation of Expected Tchebycheff Improvement. CEC (2023)
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)
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)
Genghui Li, Zhenkun Wang, Qingfu Zhang, Jianyong Sun
Offline and Online Objective Reduction via Gaussian Mixture Model Clustering. IEEE Trans. Evol. Comput. 27 (2) (2023)
Wei Zheng, Jianyong Sun, Qingfu Zhang, Zongben Xu
Continuous Encoding for Overlapping Community Detection in Attributed Network. IEEE Trans. Cybern. 53 (9) (2023)
Yiwen Wang, Fei Liu, Qingfu Zhang
A Decomposition-Based Hybrid Algorithm for Multi-objective Vehicle Routing Problem with Time Windows. CEC (2023)
Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Large Language Model for Multi-objective Evolutionary Optimization. CoRR (2023)
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) (2023)
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)
Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, Qingfu Zhang
Hypervolume Maximization: A Geometric View of Pareto Set Learning. NeurIPS (2023)
Fei Liu, Chengyu Lu, Lin Gui, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Heuristics for Vehicle Routing Problem: A Survey and Recent Advances. CoRR (2023)
Xianpeng Wang, Zhiming Dong, Lixin Tang, Qingfu Zhang
Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer. IEEE Trans. Evol. Comput. 27 (1) (2023)
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 (2023)
Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. NeurIPS (2023)
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)
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) (2023)
Pei-Qiu Huang, Qingfu Zhang, Yong Wang
Bilevel Optimization via Collaborations Among Lower-Level Optimization Tasks. IEEE Trans. Evol. Comput. 27 (6) (2023)
Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. CoRR (2023)
Xinye Cai, Haiyang Xu, Xiaoping Li, Kang Wang, Long Chen, Rubén Ruiz García, Qingfu Zhang
A Bi-Objective Learn-and-Deploy Scheduling Method for Bursty and Stochastic Requests on Heterogeneous Cloud Servers. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Jiahai Wang, Yanyue Li, Qingfu Zhang, Zizhen Zhang, Shangce Gao
Cooperative Multiobjective Evolutionary Algorithm With Propulsive Population for Constrained Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52 (6) (2022)
Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang
Semisupervised Affinity Matrix Learning via Dual-Channel Information Recovery. IEEE Trans. Cybern. 52 (8) (2022)
Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang
Self-Supervised Symmetric Nonnegative Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. 32 (7) (2022)
Genghui Li, Qingfu Zhang, Qiuzhen Lin, Weifeng Gao
A Three-Level Radial Basis Function Method for Expensive Optimization. IEEE Trans. Cybern. 52 (7) (2022)
Jianping Luo, Liang Chen, Xia Li, Qingfu Zhang
Novel Multitask Conditional Neural-Network Surrogate Models for Expensive Optimization. IEEE Trans. Cybern. 52 (5) (2022)
Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel, Hernán E. Aguirre, Qingfu Zhang, Kiyoshi Tanaka
Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis. GECCO (2022)
Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang
Maximum Entropy Subspace Clustering Network. IEEE Trans. Circuits Syst. Video Technol. 32 (4) (2022)
Shaolong Shi, Yifan Chen, Qiang Liu, Jurong Ding, Qingfu Zhang
Dynamic In Vivo Computation: Nanobiosensing from a Dynamic Optimization Perspective. CEC (2022)
Xinye Cai, Qi Sun, Zhenhua Li, Yushun Xiao, Yi Mei, Qingfu Zhang, Xiaoping Li
Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization. IEEE Trans. Evol. Comput. 26 (6) (2022)
Jianyong Sun, Wei Zheng, Qingfu Zhang, Zongben Xu
Graph Neural Network Encoding for Community Detection in Attribute Networks. IEEE Trans. Cybern. 52 (8) (2022)
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) (2022)
Zhiyuan Yang, Qingfu Zhang
EigenGRF: Layer-Wise Eigen-Learning for Controllable Generative Radiance Fields. ICONIP (1) (2022)
Zhenhua Li, Shuo Zhang, Xinye Cai, Qingfu Zhang, Xiaomin Zhu, Zhun Fan, Xiuyi Jia
Noisy Optimization by Evolution Strategies With Online Population Size Learning. IEEE Trans. Syst. Man Cybern. Syst. 52 (9) (2022)
Zhen Song, Wenjian Luo, Xin Lin, Zeneng She, Qingfu Zhang
On Multiobjective Knapsack Problems with Multiple Decision Makers. SSCI (2022)
Zhifang Wei, Weifeng Gao, Genghui Li, Qingfu Zhang
A Penalty-Based Differential Evolution for Multimodal Optimization. IEEE Trans. Cybern. 52 (7) (2022)
Zhenkun Wang, Hui-Ling Zhen, Jingda Deng, Qingfu Zhang, Xijun Li, Mingxuan Yuan, Jia Zeng
Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning. IEEE Trans. Cybern. 52 (8) (2022)
Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang
Pareto Set Learning for Expensive Multi-Objective Optimization. NeurIPS (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Qingfu Zhang