Qingfu Zhang - RankMe

518 papers A* 44A 20B 74C 15Misc 1Journal 307Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Systematic Survey on Large Language Models for Algorithm Design. ACM Comput. Surv. Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Xi Lin, Zhe Zhao, Xialiang Tong, Kun Mao, Zhichao Lu, Zhenkun Wang, Mingxuan Yuan, Qingfu Zhang
2026	J	`jnl`	A survey on large language models driven meta-optimizers for automated intelligent optimization. Artif. Intell. Rev. Yan Zheng, Lida Zhang, Kaiwen Li, Rui Wang, Wenhua Li, Tao Zhang, Qingfu Zhang, Yaochu Jin
2026	J	`jnl`	An Efficient Evolutionary Algorithm for Few-for-Many Optimization. CoRR Ke Shang, Hisao Ishibuchi, Zexuan Zhu, Qingfu Zhang
2026	A*	`conf`	Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits. AAAI Bo Xue, Yuanyu Wan, Zhichao Lu, Qingfu Zhang
2026	J	`jnl`	Breaking the Prototype Bias Loop: Confidence-Aware Federated Contrastive Learning for Highly Imbalanced Clients. CoRR Tian-Shuang Wu, Shen-Huan Lyu, Ning Chen, Yi-Xiao He, Bin Tang, Baoliu Ye, Qingfu Zhang
2026	J	`jnl`	CDEoH: Category-Driven Automatic Algorithm Design With Large Language Models. CoRR Yu-Nian Wang, Shen-Huan Lyu, Ning Chen, Jia-Le Xu, Baoliu Ye, Qingfu Zhang
2026	A*	`conf`	CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models. AAAI Ping Guo, Qingfu Zhang, Xi Lin
2026	A*	`conf`	EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design. AAAI Fei Liu, Yilu Liu, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2026	J	`jnl`	Evolving Interdependent Operators with Large Language Models for Multi-Objective Combinatorial Optimization. CoRR Junhao Qiu, Xin Chen, Liang Ge, Liyong Lin, Zhichao Lu, Qingfu Zhang
2026	J	`jnl`	LLM-Assisted Automatic Dispatching Rule Design for Dynamic Flexible Assembly Flow Shop Scheduling. CoRR Junhao Qiu, Haoyang Zhuang, Fei Liu, Jianjun Liu, Qingfu Zhang
2026	J	`jnl`	Leader-Follower Disagreement Minimization in Social Networks. IEEE Trans. Evol. Comput. Yilu Liu, Xi Lin, Qingfu Zhang
2026	J	`jnl`	On the Learnability of Offline Model-Based Optimization: A Ranking Perspective. CoRR Shen-Huan Lyu, Rong-Xi Tan, Ke Xue, Yi-Xiao He, Yu Huang, Qingfu Zhang, Chao Qian
2026	J	`jnl`	PMGDA: A Preference-Based Multiple Gradient Descent Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. Xiaoyuan Zhang, Xi Lin, Qingfu Zhang
2026	A*	`conf`	Parametric Pareto Set Learning for Expensive Multi-Objective Optimization. AAAI Ji Cheng, Bo Xue, Qingfu Zhang
2026	J	`jnl`	Quality-Diversity Optimization as Multi-Objective Optimization. CoRR Xi Lin, Ping Guo, Yilu Liu, Qingfu Zhang, Jianyong Sun
2026	J	`jnl`	Survey on Neural Routing Solvers. CoRR Yunpeng Ba, Xi Lin, Changliang Zhou, Ruihao Zheng, Zhenkun Wang, Xinyan Liang, Zhichao Lu, Jianyong Sun, Yuhua Qian, Qingfu Zhang
2025	J	`jnl`	A Bi-Learning Evolutionary Algorithm for Transportation-Constrained and Distributed Energy-Efficient Flexible Scheduling. IEEE Trans. Evol. Comput. Zixiao Pan, Ling Wang, Jingjing Wang, Qingfu Zhang
2025	J	`jnl`	A Distributed Multi-Objective Detection Method for Multi-Sensor Systems With Unknown Local SNR. IEEE Trans. Signal Process. Chang Gao, Qingfu Zhang, Pramod K. Varshney, Xi Lin, Hongwei Liu
2025	J	`jnl`	A new parallel cooperative landscape smoothing algorithm and its applications on TSP and UBQP. Expert Syst. Appl. Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang
2025	J	`jnl`	A survey on deep learning fundamentals. Artif. Intell. Rev. Chunwei Tian, Tongtong Cheng, Zhe Peng, Wangmeng Zuo, Yonglin Tian, Qingfu Zhang, Fei-Yue Wang, David Zhang
2025	J	`jnl`	Adaptive Multi/Many-Objective Transformation for Constrained Optimization. IEEE Trans. Syst. Man Cybern. Syst. Genghui Li, Zhenkun Wang, Weifeng Gao, Laizhong Cui, Qingfu Zhang
2025	A*	`conf`	Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data. ICML Zhe Zhao, Haibin Wen, Pengkun Wang, Shuang Wang, Zhenkun Wang, Qingfu Zhang, Yang Wang
2025	J	`jnl`	Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits. CoRR Bo Xue, Yuanyu Wan, Zhichao Lu, Qingfu Zhang
2025	A*	`conf`	Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems. ICLR Fu Luo, Xi Lin, Yaoxin Wu, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2025	J	`jnl`	Commonality Feature Representation Learning for Unsupervised Multimodal Change Detection. IEEE Trans. Image Process. Tongfei Liu, Mingyang Zhang, Maoguo Gong, Qingfu Zhang, Fenlong Jiang, Hanhong Zheng, Di Lu
2025	J	`jnl`	Community Opinion Maximization in Social Networks. IEEE Trans. Evol. Comput. Yilu Liu, Qingfu Zhang, Zhenkun Wang
2025	J	`jnl`	Consistency Is Not Always Correct: Towards Understanding the Role of Exploration in Post-Training Reasoning. CoRR Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Bo Xue, Qingfu Zhang, Hau-San Wong, Taiji Suzuki
2025	J	`jnl`	DPP-HSS: Toward Fast and Scalable Hypervolume Subset Selection for Many-Objective Optimization. IEEE Trans. Evol. Comput. Cheng Gong, Yang Nan, Ke Shang, Ping Guo, Hisao Ishibuchi, Qingfu Zhang
2025	J	`jnl`	Dealing With Structure Constraints in Evolutionary Pareto Set Learning. IEEE Trans. Evol. Comput. Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Qingfu Zhang
2025	—	`conf`	Decomposition Multi-Objective Optimization: What We Know from the Literature, and What We are not Clear from a Data Science Perspective. GECCO Companion Ke Li, Qingfu Zhang
2025	J	`jnl`	Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Zhe Zhao, Pengkun Wang, Xu Wang, Haibin Wen, Xiaolong Xie, Zhengyang Zhou, Qingfu Zhang, Yang Wang
2025	J	`jnl`	Destroy and Repair Using Hyper Graphs for Routing. CoRR Ke Li, Fei Liu, Zhengkun Wang, Qingfu Zhang
2025	A*	`conf`	Destroy and Repair Using Hyper-Graphs for Routing. AAAI Ke Li, Fei Liu, Zhenkun Wang, Qingfu Zhang
2025	J	`jnl`	Discovering Interpretable Programmatic Policies via Multimodal LLM-assisted Evolutionary Search. CoRR Qinglong Hu, Xialiang Tong, Mingxuan Yuan, Fei Liu, Zhichao Lu, Qingfu Zhang
2025	J	`jnl`	Efficient Greedy Decremental Hypervolume Subset Selection Using Space Partition Tree. IEEE Trans. Evol. Comput. Jingda Deng, Jianyong Sun, Qingfu Zhang, Hui Li
2025	J	`jnl`	EoH-S: Evolution of Heuristic Set using LLMs for Automated Heuristic Design. CoRR Fei Liu, Yilu Liu, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2025	J	`jnl`	EvoEngineer: Mastering Automated CUDA Kernel Code Evolution with Large Language Models. CoRR Ping Guo, Chenyu Zhu, Siyuan Chen, Fei Liu, Xi Lin, Zhichao Lu, Qingfu Zhang
2025	J	`jnl`	EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code. CoRR Ping Guo, Yiting Wang, Wanghao Ye, Yexiao He, Ziyao Wang, Xiaopeng Dai, Ang Li, Qingfu Zhang
2025	J	`jnl`	Evolution of Kernels: Automated RISC-V Kernel Optimization with Large Language Models. CoRR Siyuan Chen, Zhichao Lu, Qingfu Zhang
2025	J	`jnl`	Evolution without an Oracle: Driving Effective Evolution with LLM Judges. CoRR Zhe Zhao, Yuheng Yang, Haibin Wen, Xiaojie Qiu, Zaixi Zhang, Qingfu Zhang
2025	A*	`conf`	Expected Hypervolume Improvement Is a Particular Hypervolume Improvement. AAAI Jingda Deng, Jianyong Sun, Qingfu Zhang, Hui Li
2025	J	`jnl`	Exploring high-dimensional optimization by sparse and low-rank evolution strategy. Swarm Evol. Comput. Zhenhua Li, Wei Wu, Qingfu Zhang, Xinye Cai
2025	J	`jnl`	Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. IEEE Trans. Emerg. Top. Comput. Intell. Ping Guo, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang
2025	A*	`conf`	Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. ICLR Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang
2025	J	`jnl`	Fine-tuning Large Language Model for Automated Algorithm Design. CoRR Fei Liu, Rui Zhang, Xi Lin, Zhichao Lu, Qingfu Zhang
2025	J	`jnl`	Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search. CoRR Fei Liu, Qingfu Zhang, Xialiang Tong, Kun Mao, Mingxuan Yuan
2025	J	`jnl`	FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization. CoRR Yiming Yao, Fei Liu, Liang Zhao, Xi Lin, Qingfu Zhang
2025	J	`jnl`	From Understanding to Excelling: Template-Free Algorithm Design through Structural-Functional Co-Evolution. CoRR Zhe Zhao, Haibin Wen, Pengkun Wang, Ye Wei, Zaixi Zhang, Xi Lin, Fei Liu, Bo An, Hui Xiong, Yang Wang, Qingfu Zhang
2025	J	`jnl`	GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement Learning. CoRR Ziru Liu, Cheng Gong, Xinyu Fu, Yaofang Liu, Ran Chen, Shoubo Hu, Suiyun Zhang, Rui Liu, Qingfu Zhang, Dandan Tu
2025	J	`jnl`	Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond. CoRR Weiyu Chen, Xiaoyuan Zhang, Baijiong Lin, Xi Lin, Han Zhao, Qingfu Zhang, James T. Kwok
2025	B	`conf`	How to Choose Solutions for Applying Momentum in Evolutionary Multi-Objective Optimization. SMC Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2025	J	`jnl`	In Vivo Computational Strategy for Tumor Targeting in Co-Associated Biological Landscapes. IEEE Trans. Emerg. Top. Comput. Intell. Shaolong Shi, Zhaoyang Jiang, Qiang Liu, Qingfu Zhang, Yifan Chen
2025	J	`jnl`	L2R: Learning to Reduce Search Space for Generalizable Neural Routing Solver. CoRR Changliang Zhou, Xi Lin, Zhenkun Wang, Qingfu Zhang
2025	B	`conf`	LLM-Driven Neighborhood Search for Efficient Heuristic Design. CEC Zhuoliang Xie, Fei Liu, Zhenkun Wang, Qingfu Zhang
2025	A*	`conf`	LLM-enhanced Score Function Evolution for Causal Structure Learning. IJCAI Zidong Wang, Fei Liu, Qi Feng, Qingfu Zhang, Xiaoguang Gao
2025	J	`jnl`	LRM-1B: Towards Large Routing Model. CoRR Han Li, Fei Liu, Zhenkun Wang, Qingfu Zhang
2025	—	`conf`	Large Language Model for Multiobjective Evolutionary Optimization. EMO (2) Fei Liu, Xi Lin, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2025	J	`jnl`	Learning to Insert for Constructive Neural Vehicle Routing Solver. CoRR Fu Luo, Xi Lin, Mengyuan Zhong, Fei Liu, Zhenkun Wang, Jianyong Sun, Qingfu Zhang
2025	J	`jnl`	Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound. J. Mach. Learn. Res. Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Lijun Zhang, Qingfu Zhang
2025	A*	`conf`	MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework. CVPR Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang
2025	J	`jnl`	MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework. CoRR Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang
2025	J	`jnl`	Machine Learning-Assisted Multiobjective Evolutionary Algorithm for Routing and Packing. IEEE Trans. Evol. Comput. Fei Liu, Qingfu Zhang, Qingling Zhu, Xialiang Tong, Mingxuan Yuan
2025	J	`jnl`	Many-to-Few Decomposition: Linking R2-Based and Decomposition-Based Multiobjective Efficient Global Optimization Algorithms. IEEE Trans. Evol. Comput. Liang Zhao, Xiaobin Huang, Chao Qian, Qingfu Zhang
2025	J	`jnl`	Micro Many-Objective Evolutionary Algorithm With Knowledge Transfer. IEEE Trans. Emerg. Top. Comput. Intell. Hu Peng, Zhongtian Luo, Tian Fang, Qingfu Zhang
2025	A*	`conf`	Multi-Objective Evolution of Heuristic Using Large Language Model. AAAI Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang
2025	A*	`conf`	Multi-Objective Neural Bandits with Random Scalarization. IJCAI Ji Cheng, Bo Xue, Chengyu Lu, Ziqiang Cui, Qingfu Zhang
2025	A*	`conf`	Multi-objective Linear Reinforcement Learning with Lexicographic Rewards. ICML Bo Xue, Dake Bu, Ji Cheng, Yuanyu Wan, Qingfu Zhang
2025	J	`jnl`	Multiframe Detection via Graph Neural Networks: A Link Prediction Approach. IEEE Trans. Aerosp. Electron. Syst. Zhihao Lin, Chang Gao, Junkun Yan, Qingfu Zhang, Bo Chen, Hongwei Liu
2025	A*	`conf`	Multiobjective distribution matching. ICML Xiaoyuan Zhang, Peijie Li, Yingying Yu, Yichi Zhang, Han Zhao, Qingfu Zhang
2025	A*	`conf`	Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits. AAAI Bo Xue, Xi Lin, Xiaoyuan Zhang, Qingfu Zhang
2025	J	`jnl`	Multipopulation Optimization With LLM-Driven Knowledge Discovery for Large-Scale HFVRP. IEEE Trans. Comput. Soc. Syst. Zhuoliang Xie, Fei Liu, Genghui Li, Zhilin Mao, Yu Zhang, Zhenkun Wang, Qingfu Zhang
2025	J	`jnl`	Parametric Pareto Set Learning for Expensive Multi-Objective Optimization. CoRR Ji Cheng, Bo Xue, Qingfu Zhang
2025	A*	`conf`	Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. AAAI Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng
2025	J	`jnl`	Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. CoRR Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng
2025	A	`conf`	Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems. GECCO Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2025	B	`conf`	Population Initialization for Evolutionary Multi-objective Optimization: A Short Review. CEC Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2025	A*	`conf`	Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions. IJCAI Bo Xue, Xi Lin, Yuanyu Wan, Qingfu Zhang
2025	J	`jnl`	Provable Benefit of Curriculum in Transformer Tree-Reasoning Post-Training. CoRR Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Hau-San Wong, Qingfu Zhang, Taiji Suzuki
2025	A*	`conf`	Provable In-Context Vector Arithmetic via Retrieving Task Concepts. ICML Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Qingfu Zhang, Hau-San Wong, Taiji Suzuki
2025	J	`jnl`	Provable In-Context Vector Arithmetic via Retrieving Task Concepts. CoRR Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Qingfu Zhang, Hau-San Wong, Taiji Suzuki
2025	J	`jnl`	Quantization Meets dLLMs: A Systematic Study of Post-training Quantization for Diffusion LLMs. CoRR Haokun Lin, Haobo Xu, Yichen Wu, Ziyu Guo, Renrui Zhang, Zhichao Lu, Ying Wei, Qingfu Zhang, Zhenan Sun
2025	—	`conf`	RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. KDD (2) Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park
2025	J	`jnl`	Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training. CoRR Song Lai, Haohan Zhao, Rong Feng, Changyi Ma, Wenzhuo Liu, Hongbo Zhao, Xi Lin, Dong Yi, Min Xie, Qingfu Zhang, Hongbin Liu, Gaofeng Meng, Fei Zhu
2025	J	`jnl`	Rethinking Supervised Learning-Based Neural Combinatorial Optimization for Routing Problem. ACM Trans. Evol. Learn. Optim. Shunyu Yao, Xi Lin, Jiashu Wang, Qingfu Zhang, Zhenkun Wang
2025	J	`jnl`	Solving Multiobjective Combinatorial Optimization via Learning to Improve Method. IEEE Trans. Emerg. Top. Comput. Intell. Te Ye, Zizhen Zhang, Qingfu Zhang, Jinbiao Chen, Jiahai Wang
2025	J	`jnl`	Surrogate-assisted neural learning and evolutionary optimization for expensive constrained multi-objective problems. Swarm Evol. Comput. Wenji Li, Yifeng Qiu, Zhaojun Wang, Biao Xu, Zhifeng Hao, Qingfu Zhang, Yun Li, Zhun Fan
2025	J	`jnl`	SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning. CoRR Yiting Wang, Wanghao Ye, Ping Guo, Yexiao He, Ziyao Wang, Bowei Tian, Shwai He, Guoheng Sun, Zheyu Shen, Sihan Chen, Ankur Srivastava, Qingfu Zhang, Gang Qu, Ang Li
2025	J	`jnl`	TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation. CoRR Haokun Lin, Teng Wang, Yixiao Ge, Yuying Ge, Zhichao Lu, Ying Wei, Qingfu Zhang, Zhenan Sun, Ying Shan
2025	J	`jnl`	Trajectory Planning for UAV Swarm Tracking Moving Target Based on an Improved Model Predictive Control Fusion Algorithm. IEEE Internet Things J. Chao Song, Xinyu Zhang, Yang She, Bo Li, Qingfu Zhang
2025	J	`jnl`	URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization. CoRR Changliang Zhou, Canhong Yu, Shunyu Yao, Xi Lin, Zhenkun Wang, Yu Zhou, Qingfu Zhang
2025	J	`jnl`	Uncertain Priors for Graphical Causal Models: A Multi-Objective Optimization Perspective. IEEE Trans. Knowl. Data Eng. Zidong Wang, Xiaoguang Gao, Qingfu Zhang
2025	B	`conf`	Using Momentum Moves as Training Data for Neural Network-Based Offspring Generation in Evolutionary Multi-Objective Optimization. IJCNN Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2024	J	`jnl`	A Fast Exact Algorithm for Computing the Hypervolume Contributions in 4-D Space. IEEE Trans. Evol. Comput. Jingda Deng, Qingfu Zhang, Jianyong Sun, Hui Li
2024	—	`conf`	A Micro Dynamic Multi-objective Evolutionary Algorithm for Small-scale Smart Greenhouse with Low-power Microprocessor. GECCO Companion Zhongtian Luo, Jianpeng Xiong, Hu Peng, Gaosheng Zhan, Qingfu Zhang, Hui Wang, Xinyu Zhou, Wei Li, Ying Huang
2024	B	`conf`	A Multi-objective Perspective Towards Improving Meta-Generalization. IJCNN Weiduo Liao, Ying Wei, Qirui Sun, Qingfu Zhang, Hisao Ishibuchi
2024	J	`jnl`	A Multiobjective Evolutionary Algorithm for Network Planning in In-Building Distributed Antenna Systems. IEEE Trans. Netw. Sci. Eng. Pei-Qiu Huang, Shaoda Zeng, Xilei Wu, Hai-Lin Liu, Qingfu Zhang
2024	J	`jnl`	A New Parallel Cooperative Landscape Smoothing Algorithm and Its Applications on TSP and UBQP. CoRR Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang
2024	J	`jnl`	A Systematic Survey on Large Language Models for Algorithm Design. CoRR Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Zhe Zhao, Xi Lin, Xialiang Tong, Mingxuan Yuan, Zhichao Lu, Zhenkun Wang, Qingfu Zhang
2024	J	`jnl`	A clustering-assisted adaptive evolutionary algorithm based on decomposition for multimodal multiobjective optimization. Swarm Evol. Comput. Tenghui Hu, Xianpeng Wang, Lixin Tang, Qingfu Zhang
2024	J	`jnl`	A uniform sampling method for permutation space. Ann. Oper. Res. Lin Gui, Xinyu Li, Qingfu Zhang, Liang Gao
2024	J	`jnl`	An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. CoRR Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024	J	`jnl`	Approximating robust Pareto fronts by the MEOF-based multiobjective evolutionary algorithm with two-level surrogate models. Inf. Sci. Yuxiang Shui, Hui Li, Jianyong Sun, Qingfu Zhang
2024	J	`jnl`	Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. CoRR Ping Guo, Qingfu Zhang, Xi Lin
2024	J	`jnl`	AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure. CoRR Yu Zhang, Kefeng Zheng, Fei Liu, Qingfu Zhang, Zhenkun Wang
2024	A*	`conf`	Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts. NeurIPS Zhe Zhao, Haibin Wen, Zikang Wang, Pengkun Wang, Fanfu Wang, Song Lai, Qingfu Zhang, Yang Wang
2024	J	`jnl`	CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models. CoRR Ping Guo, Qingfu Zhang, Xi Lin
2024	J	`jnl`	Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks. CoRR Zhe Zhao, Pengkun Wang, Xu Wang, Haibin Wen, Xiaolong Xie, Zhengyang Zhou, Qingfu Zhang, Yang Wang
2024	J	`jnl`	Discovering Interpretable Latent Space Directions for 3D-Aware Image Generation. IEEE Trans. Emerg. Top. Comput. Intell. Zhiyuan Yang, Qingfu Zhang
2024	J	`jnl`	ESSR: Evolving Sparse Sharing Representation for Multitask Learning. IEEE Trans. Evol. Comput. Yayu Zhang, Yuhua Qian, Guoshuai Ma, Xinyan Liang, Guoqing Liu, Qingfu Zhang, Ke Tang
2024	—	`conf`	EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-expert Network. MICCAI (4) Song Lai, Mingyang Zhao, Zhe Zhao, Shi Chang, Xiaohua Yuan, Hongbin Liu, Qingfu Zhang, Gaofeng Meng
2024	A	`conf`	Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. GECCO Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2024	A*	`conf`	Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. ICML Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024	—	`conf`	Evolve Cost-Aware Acquisition Functions Using Large Language Models. PPSN (2) Yiming Yao, Fei Liu, Ji Cheng, Qingfu Zhang
2024	J	`jnl`	Evolve Cost-aware Acquisition Functions Using Large Language Models. CoRR Yiming Yao, Fei Liu, Ji Cheng, Qingfu Zhang
2024	J	`jnl`	Exploring interpretable evolutionary optimization via significance of each constraint and population diversity. Swarm Evol. Comput. Yalin Wang, Xujie Tan, Chenliang Liu, Pei-Qiu Huang, Qingfu Zhang, Chunhua Yang
2024	J	`jnl`	Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. CoRR Ping Guo, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang
2024	J	`jnl`	Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. CoRR Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang
2024	A*	`conf`	Gliding over the Pareto Front with Uniform Designs. NeurIPS Xiaoyuan Zhang, Genghui Li, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang
2024	A	`conf`	Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. GECCO Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2024	A*	`conf`	Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits. AAAI Ji Cheng, Bo Xue, Jiaxiang Yi, Qingfu Zhang
2024	B	`conf`	High-Throughput Multi-Objective Bayesian Optimization using Gradients. CEC Yiming Yao, Fei Liu, Qingfu Zhang
2024	J	`jnl`	Hypervolume-Guided Decomposition for Parallel Expensive Multiobjective Optimization. IEEE Trans. Evol. Comput. Liang Zhao, Qingfu Zhang
2024	—	`conf`	Improved Track Initiation for Bistatic Radar on Moving Platforms Using Coupled Position and Doppler Measurements. ICSPCC Zhihao Lin, Chang Gao, Qingfu Zhang, Junkun Yan, Tianyi Jia, Hongwei Liu
2024	J	`jnl`	Improving Pareto Local Search Using Cooperative Parallelism Strategies for Multiobjective Combinatorial Optimization. IEEE Trans. Cybern. Jialong Shi, Jianyong Sun, Qingfu Zhang, Haotian Zhang, Ye Fan
2024	J	`jnl`	Incorporating structural constraints into continuous optimization for causal discovery. Neurocomputing Zidong Wang, Xiaoguang Gao, Xiaohan Liu, Xinxin Ru, Qingfu Zhang
2024	J	`jnl`	Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. CoRR Changliang Zhou, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2024	B	`conf`	Interactive Final Solution Selection in Multi-Objective Optimization. CEC Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2024	—	`conf`	L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks. GECCO Companion Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang
2024	J	`jnl`	L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks. CoRR Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang
2024	A*	`conf`	LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems. NeurIPS Pengkun Wang, Zhe Zhao, Haibin Wen, Fanfu Wang, Binwu Wang, Qingfu Zhang, Yang Wang
2024	—	`conf`	LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection. PPSN (4) Cheng Gong, Ping Guo, Tianye Shu, Qingfu Zhang, Hisao Ishibuchi
2024	A*	`conf`	Learning Multi-Task Sparse Representation Based on Fisher Information. AAAI Yayu Zhang, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu, Qingfu Zhang
2024	A*	`conf`	LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch. NeurIPS Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Yifan Chen, Han Zhao, Qingfu Zhang
2024	J	`jnl`	LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch. CoRR Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Zhenkun Wang, Han Zhao, Qingfu Zhang
2024	B	`conf`	MOEA/D-CMA Made Better with (l+l)-CMA-ES. CEC Chengyu Lu, Yilu Liu, Qingfu Zhang
2024	—	`conf`	Many-Objective Cover Problem: Discovering Few Solutions to Cover Many Objectives. PPSN (4) Yilu Liu, Chengyu Lu, Xi Lin, Qingfu Zhang
2024	J	`jnl`	Micro Multiobjective Evolutionary Algorithm With Piecewise Strategy for Embedded-Processor-Based Industrial Optimization. IEEE Trans. Cybern. Hu Peng, Fanrong Kong, Qingfu Zhang
2024	—	`conf`	Modified CA-CFAR Detector for Oversampled Sensors. ICSPCC Fengdeng Gu, Chang Gao, Qingfu Zhang, Rongrong Wang, Hongwei Liu
2024	A*	`conf`	Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. KDD Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024	J	`jnl`	Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. CoRR Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024	J	`jnl`	Multi-UAV roundup strategy method based on deep reinforcement learning CEL-MADDPG algorithm. Expert Syst. Appl. Bo Li, Jianmei Wang, Chao Song, Zhipeng Yang, Kaifang Wan, Qingfu Zhang
2024	J	`jnl`	Multi-objective Evolution of Heuristic Using Large Language Model. CoRR Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang
2024	J	`jnl`	Multi-objective decomposition evolutionary algorithm with objective modification-based dominance and external archive. Appl. Soft Comput. Zhenkun Wang, Qingyan Li, Genghui Li, Qingfu Zhang
2024	B	`conf`	Multiobjective Bayesian Optimization for Antenna Placement in In-Building Distributed Antenna System. CEC Xilei Wu, Pei-Qiu Huang, Linqi Song, Hai-Lin Liu, Qingfu Zhang
2024	J	`jnl`	Multiobjective Combinatorial Optimization Using a Single Deep Reinforcement Learning Model. IEEE Trans. Cybern. Zhenkun Wang, Shunyu Yao, Genghui Li, Qingfu Zhang
2024	J	`jnl`	Multiobjective Ensemble Learning With Multiscale Data for Product Quality Prediction in Iron and Steel Industry. IEEE Trans. Evol. Comput. Xianpeng Wang, Yao Wang, Lixin Tang, Qingfu Zhang
2024	A*	`conf`	Multiobjective Lipschitz Bandits under Lexicographic Ordering. AAAI Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Qingfu Zhang
2024	J	`jnl`	New techniques to improve neighborhood exploration in pareto local search. Expert Syst. Appl. Yuhao Kang, Jialong Shi, Jianyong Sun, Qingfu Zhang, Ye Fan
2024	J	`jnl`	Objective Extraction for Simplifying Many-Objective Solution Sets. IEEE Trans. Emerg. Top. Comput. Intell. Genghui Li, Zhenkun Wang, Jianyong Sun, Qingfu Zhang
2024	B	`conf`	On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP. CEC Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang, Ye Fan
2024	J	`jnl`	On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP. CoRR Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang, Ye Fan
2024	J	`jnl`	PMGDA: A Preference-based Multiple Gradient Descent Algorithm. CoRR Xiaoyuan Zhang, Xi Lin, Qingfu Zhang
2024	A*	`conf`	Panacea: Pareto Alignment via Preference Adaptation for LLMs. NeurIPS Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang, Ziran Yang, Haojun Chen, Qingfu Zhang, Siyuan Qi, Yaodong Yang
2024	J	`jnl`	Panacea: Pareto Alignment via Preference Adaptation for LLMs. CoRR Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang, Ziran Yang, Haojun Chen, Qingfu Zhang, Siyuan Qi, Yaodong Yang
2024	A	`conf`	Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. GECCO Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2024	A*	`conf`	Prompt Learning for Generalized Vehicle Routing. IJCAI Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024	J	`jnl`	Prompt Learning for Generalized Vehicle Routing. CoRR Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024	A*	`conf`	Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. ICML Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong
2024	J	`jnl`	Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. CoRR Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong
2024	A*	`conf`	Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning. NeurIPS Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong
2024	J	`jnl`	Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning. CoRR Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong
2024	J	`jnl`	PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks. CoRR Ping Guo, Zhiyuan Yang, Xi Lin, Qingchuan Zhao, Qingfu Zhang
2024	J	`jnl`	Self-Improved Learning for Scalable Neural Combinatorial Optimization. CoRR Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2024	A*	`conf`	Smooth Tchebycheff Scalarization for Multi-Objective Optimization. ICML Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang
2024	J	`jnl`	Smooth Tchebycheff Scalarization for Multi-Objective Optimization. CoRR Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang
2024	—	`conf`	Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms. PPSN (4) Cheng Gong, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2024	A*	`conf`	Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning. ICML Zhe Zhao, Pengkun Wang, Haibin Wen, Wei Xu, Song Lai, Qingfu Zhang, Yang Wang
2024	J	`jnl`	UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition. CoRR Xiaoyuan Zhang, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang
2024	—	`conf`	Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. PPSN (2) Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024	J	`jnl`	Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. CoRR Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2023	B	`conf`	A Decomposition-Based Hybrid Algorithm for Multi-objective Vehicle Routing Problem with Time Windows. CEC Yiwen Wang, Fei Liu, Qingfu Zhang
2023	B	`conf`	A Novel Computational Nanobiosensing Approach to Improve the Exploitation of In Vivo Computation. CEC Shaolong Shi, Yifan Chen, Zhaoyang Jiang, Qiang Liu, Jurong Ding, Qingfu Zhang
2023	C	`conf`	A Two-Stage Algorithm for Integer Multiobjective Simulation Optimization. EMO Fei Liu, Qingfu Zhang
2023	J	`jnl`	A metaheuristic causal discovery method in directed acyclic graphs space. Knowl. Based Syst. Xiaohan Liu, Xiaoguang Gao, Zidong Wang, Xinxin Ru, Qingfu Zhang
2023	J	`jnl`	A novel dynamic reference point model for preference-based evolutionary multiobjective optimization. Complex Intell. Syst. Xin Lin, Wenjian Luo, Naijie Gu, Qingfu Zhang
2023	J	`jnl`	Algorithm Evolution Using Large Language Model. CoRR Fei Liu, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2023	C	`conf`	Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. EMO Ping Guo, Qingfu Zhang, Xi Lin
2023	J	`jnl`	Bilevel Optimization via Collaborations Among Lower-Level Optimization Tasks. IEEE Trans. Evol. Comput. Pei-Qiu Huang, Qingfu Zhang, Yong Wang
2023	J	`jnl`	Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. IEEE Trans. Cybern. Zhenkun Wang, Qingfu Zhang, Yew-Soon Ong, Shunyu Yao, Haitao Liu, Jianping Luo
2023	J	`jnl`	Combining Lyapunov Optimization With Evolutionary Transfer Optimization for Long-Term Energy Minimization in IRS-Aided Communications. IEEE Trans. Cybern. Pei-Qiu Huang, Yong Wang, Kezhi Wang, Qingfu Zhang
2023	J	`jnl`	Context-content collaborative network for building extraction from high-resolution imagery. Knowl. Based Syst. Maoguo Gong, Tongfei Liu, Mingyang Zhang, Qingfu Zhang, Di Lu, Hanhong Zheng, Fenlong Jiang
2023	A*	`conf`	Continuation Path Learning for Homotopy Optimization. ICML Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang
2023	J	`jnl`	Continuation Path Learning for Homotopy Optimization. CoRR Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang
2023	J	`jnl`	Continuous Encoding for Overlapping Community Detection in Attributed Network. IEEE Trans. Cybern. Wei Zheng, Jianyong Sun, Qingfu Zhang, Zongben Xu
2023	J	`jnl`	Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]. IEEE Comput. Intell. Mag. Haotian Zhang, Jianyong Sun, Thomas Bäck, Qingfu Zhang, Zongben Xu
2023	J	`jnl`	Decomposition-Based Lin-Kernighan Heuristic With Neighborhood Structure Transfer for Multi/Many-Objective Traveling Salesman Problem. IEEE Trans. Evol. Comput. Xinye Cai, Kang Wang, Yi Mei, Zhenhua Li, Jun Zhao, Qingfu Zhang
2023	A*	`conf`	Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework. NeurIPS Weiduo Liao, Ying Wei, Mingchen Jiang, Qingfu Zhang, Hisao Ishibuchi
2023	J	`jnl`	Dynamic In Vivo Computation for Learning-Based Nanobiosensing in Time-Varying Biological Landscapes. IEEE Trans. Evol. Comput. Shaolong Shi, Yifan Chen, Jurong Ding, Qiang Liu, Qingfu Zhang
2023	A	`conf`	Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. GECCO Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2023	B	`conf`	Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms. SMC Cheng Gong, Lie Meng Pang, Yang Nan, Hisao Ishibuchi, Qingfu Zhang
2023	J	`jnl`	Evolutionary Pareto Set Learning with Structure Constraints. CoRR Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Qingfu Zhang
2023	B	`conf`	Exact Formulas for the Computation of Expected Tchebycheff Improvement. CEC Liang Zhao, Qingfu Zhang
2023	—	`conf`	Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search. SSCI Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2023	J	`jnl`	Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang
2023	J	`jnl`	Heuristics for Vehicle Routing Problem: A Survey and Recent Advances. CoRR Fei Liu, Chengyu Lu, Lin Gui, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2023	A*	`conf`	Hypervolume Maximization: A Geometric View of Pareto Set Learning. NeurIPS Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, Qingfu Zhang
2023	—	`conf`	Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization. SSCI Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2023	J	`jnl`	Large Language Model for Multi-objective Evolutionary Optimization. CoRR Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2023	J	`jnl`	Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution. IEEE Trans. Emerg. Top. Comput. Intell. Xin Liu, Jianyong Sun, Qingfu Zhang, Zhenkun Wang, Zongben Xu
2023	J	`jnl`	MOEA/D with gradient-enhanced kriging for expensive multiobjective optimization. Nat. Comput. Fei Liu, Qingfu Zhang, Zhonghua Han
2023	J	`jnl`	Multi-strategy dynamic multi-objective evolutionary algorithm with hybrid environmental change responses. Swarm Evol. Comput. Hu Peng, Changrong Mei, Sixiang Zhang, Zhongtian Luo, Qingfu Zhang, Zhijian Wu
2023	J	`jnl`	Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer. IEEE Trans. Evol. Comput. Xianpeng Wang, Zhiming Dong, Lixin Tang, Qingfu Zhang
2023	J	`jnl`	Neighborhood Information-Based Method for Multivariate Association Mining. IEEE Trans. Knowl. Data Eng. Honghong Cheng, Yuhua Qian, Yingjie Guo, Keyin Zheng, Qingfu Zhang
2023	A*	`conf`	Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. NeurIPS Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang
2023	J	`jnl`	Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. CoRR Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang
2023	J	`jnl`	Offline and Online Objective Reduction via Gaussian Mixture Model Clustering. IEEE Trans. Evol. Comput. Genghui Li, Zhenkun Wang, Qingfu Zhang, Jianyong Sun
2023	J	`jnl`	SA-ES: Subspace Activation Evolution Strategy for Black-Box Adversarial Attacks. IEEE Trans. Emerg. Top. Comput. Intell. Zhenhua Li, Huilin Cheng, Xinye Cai, Jun Zhao, Qingfu Zhang
2023	B	`conf`	The Combination of MOEA/D and WOF for Solving High-Dimensional Expensive Multiobjective Optimization Problems. CEC Yuxiang Shui, Hui Li, Jianyong Sun, Qingfu Zhang
2023	B	`conf`	Towards Modeling 3D Dense Shape Correspondence from Category-Specific Multi-View Images. ICIP Zhiyuan Yang, Qingfu Zhang
2023	J	`jnl`	Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions. Appl. Soft Comput. Bilel Derbel, Geoffrey Pruvost, Arnaud Liefooghe, Sébastien Vérel, Qingfu Zhang
2022	J	`jnl`	A Bi-Objective Learn-and-Deploy Scheduling Method for Bursty and Stochastic Requests on Heterogeneous Cloud Servers. IEEE Trans. Parallel Distributed Syst. Xinye Cai, Haiyang Xu, Xiaoping Li, Kang Wang, Long Chen, Rubén Ruiz García, Qingfu Zhang
2022	J	`jnl`	A Penalty-Based Differential Evolution for Multimodal Optimization. IEEE Trans. Cybern. Zhifang Wei, Weifeng Gao, Genghui Li, Qingfu Zhang
2022	J	`jnl`	A Three-Level Radial Basis Function Method for Expensive Optimization. IEEE Trans. Cybern. Genghui Li, Qingfu Zhang, Qiuzhen Lin, Weifeng Gao
2022	J	`jnl`	Accelerate the optimization of large-scale manufacturing planning using game theory. Complex Intell. Syst. Hui-Ling Zhen, Zhenkun Wang, Xijun Li, Qingfu Zhang, Mingxuan Yuan, Jia Zeng
2022	J	`jnl`	Building Change Detection for VHR Remote Sensing Images via Local-Global Pyramid Network and Cross-Task Transfer Learning Strategy. IEEE Trans. Geosci. Remote. Sens. Tongfei Liu, Maoguo Gong, Di Lu, Qingfu Zhang, Hanhong Zheng, Fenlong Jiang, Mingyang Zhang
2022	J	`jnl`	Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization. IEEE Trans. Evol. Comput. Xinye Cai, Qi Sun, Zhenhua Li, Yushun Xiao, Yi Mei, Qingfu Zhang, Xiaoping Li
2022	J	`jnl`	Cooperative Multiobjective Evolutionary Algorithm With Propulsive Population for Constrained Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. Jiahai Wang, Yanyue Li, Qingfu Zhang, Zizhen Zhang, Shangce Gao
2022	A	`conf`	Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis. GECCO Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel, Hernán E. Aguirre, Qingfu Zhang, Kiyoshi Tanaka
2022	J	`jnl`	Crowd Counting Via Perspective-Guided Fractional-Dilation Convolution. IEEE Trans. Multim. Zhaoyi Yan, Ruimao Zhang, Hongzhi Zhang, Qingfu Zhang, Wangmeng Zuo
2022	—	`conf`	Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion Ke Li, Qingfu Zhang
2022	B	`conf`	Dynamic In Vivo Computation: Nanobiosensing from a Dynamic Optimization Perspective. CEC Shaolong Shi, Yifan Chen, Qiang Liu, Jurong Ding, Qingfu Zhang
2022	—	`conf`	EigenGRF: Layer-Wise Eigen-Learning for Controllable Generative Radiance Fields. ICONIP (1) Zhiyuan Yang, Qingfu Zhang
2022	J	`jnl`	Evolutionary Competitive Multitasking Optimization. IEEE Trans. Evol. Comput. Genghui Li, Qingfu Zhang, Zhenkun Wang
2022	J	`jnl`	Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification. IEEE Trans. Circuits Syst. Video Technol. Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang
2022	J	`jnl`	Graph Neural Network Encoding for Community Detection in Attribute Networks. IEEE Trans. Cybern. Jianyong Sun, Wei Zheng, Qingfu Zhang, Zongben Xu
2022	J	`jnl`	Homotopic Convex Transformation: A New Landscape Smoothing Method for the Traveling Salesman Problem. IEEE Trans. Cybern. Jialong Shi, Jianyong Sun, Qingfu Zhang, Kai Ye
2022	J	`jnl`	Learning Low-Rank Graph With Enhanced Supervision. IEEE Trans. Circuits Syst. Video Technol. Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang
2022	J	`jnl`	Maximum Entropy Subspace Clustering Network. IEEE Trans. Circuits Syst. Video Technol. Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang
2022	J	`jnl`	Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning. IEEE Trans. Cybern. Zhenkun Wang, Hui-Ling Zhen, Jingda Deng, Qingfu Zhang, Xijun Li, Mingxuan Yuan, Jia Zeng
2022	J	`jnl`	Noisy Optimization by Evolution Strategies With Online Population Size Learning. IEEE Trans. Syst. Man Cybern. Syst. Zhenhua Li, Shuo Zhang, Xinye Cai, Qingfu Zhang, Xiaomin Zhu, Zhun Fan, Xiuyi Jia
2022	J	`jnl`	Novel Multitask Conditional Neural-Network Surrogate Models for Expensive Optimization. IEEE Trans. Cybern. Jianping Luo, Liang Chen, Xia Li, Qingfu Zhang
2022	—	`conf`	On Multiobjective Knapsack Problems with Multiple Decision Makers. SSCI Zhen Song, Wenjian Luo, Xin Lin, Zeneng She, Qingfu Zhang
2022	A*	`conf`	Pareto Set Learning for Expensive Multi-Objective Optimization. NeurIPS Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang
2022	J	`jnl`	Pareto Set Learning for Expensive Multi-Objective Optimization. CoRR Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang
2022	A*	`conf`	Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. ICLR Xi Lin, Zhiyuan Yang, Qingfu Zhang
2022	J	`jnl`	Pareto Set Learning for Neural Multi-objective Combinatorial Optimization. CoRR Xi Lin, Zhiyuan Yang, Qingfu Zhang
2022	J	`jnl`	Self-Supervised Symmetric Nonnegative Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang
2022	J	`jnl`	Semisupervised Affinity Matrix Learning via Dual-Channel Information Recovery. IEEE Trans. Cybern. Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang
2021	J	`jnl`	A Self-Adaptive Differential Evolution Algorithm for Scheduling a Single Batch-Processing Machine With Arbitrary Job Sizes and Release Times. IEEE Trans. Cybern. Shengchao Zhou, Lining Xing, Xu Zheng, Ni Du, Ling Wang, Qingfu Zhang
2021	J	`jnl`	An evolutionary multi-objective optimization framework of discretization-based feature selection for classification. Swarm Evol. Comput. Yu Zhou, Junhao Kang, Sam Kwong, Xu Wang, Qingfu Zhang
2021	C	`conf`	Approximating Pareto Fronts in Evolutionary Multiobjective Optimization with Large Population Size. EMO Hui Li, Yuxiang Shui, Jianyong Sun, Qingfu Zhang
2021	A*	`conf`	Clustering Ensemble Meets Low-rank Tensor Approximation. AAAI Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang
2021	J	`jnl`	Crowd Counting via Perspective-Guided Fractional-Dilation Convolution. CoRR Zhaoyi Yan, Ruimao Zhang, Hongzhi Zhang, Qingfu Zhang, Wangmeng Zuo
2021	—	`conf`	Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion Ke Li, Qingfu Zhang
2021	B	`conf`	Decomposition-Based Multi-objective Landscape Features and Automated Algorithm Selection. EvoCOP Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Hernán E. Aguirre, Kiyoshi Tanaka, Qingfu Zhang
2021	J	`jnl`	Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization. IEEE Trans. Syst. Man Cybern. Syst. Bing-Chuan Wang, Han-Xiong Li, Qingfu Zhang, Yong Wang
2021	J	`jnl`	Deep Amended Gradient Descent for Efficient Spectral Reconstruction From Single RGB Images. IEEE Trans. Computational Imaging Zhiyu Zhu, Hui Liu, Junhui Hou, Sen Jia, Qingfu Zhang
2021	J	`jnl`	Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images. CoRR Zhiyu Zhu, Hui Liu, Junhui Hou, Sen Jia, Qingfu Zhang
2021	C	`conf`	Discounted Sampling Policy Gradient for Robot Multi-objective Visual Control. EMO Meng Xu, Qingfu Zhang, Jianping Wang
2021	J	`jnl`	Effect of Objective Normalization and Penalty Parameter on Penalty Boundary Intersection Decomposition-Based Evolutionary Many-Objective Optimization Algorithms. Evol. Comput. Lei Chen, Kalyanmoy Deb, Hai-Lin Liu, Qingfu Zhang
2021	J	`jnl`	Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition. IEEE Trans. Evol. Comput. Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, Qingfu Zhang
2021	C	`ed.`	Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings EMO Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou
2021	J	`jnl`	Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions. IEEE Trans. Evol. Comput. Jiawei Yuan, Hai-Lin Liu, Fangqing Gu, Qingfu Zhang, Zhaoshui He
2021	J	`jnl`	MOEA/D With Linear Programming for Double Row Layout Problem With Center-Islands. IEEE Trans. Cybern. Xingquan Zuo, Xueqing Liu, Qingfu Zhang, Weiping Li, Xing Wan, Xinchao Zhao
2021	C	`conf`	MOEA/D for Multiple Multi-objective Optimization. EMO Jingjing Chen, Qingfu Zhang, Genghui Li
2021	C	`conf`	MOEA/D with Gradient-Enhanced Kriging for Expensive Multiobjective Optimization. EMO Fei Liu, Qingfu Zhang, Zhonghua Han
2021	J	`jnl`	Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation. IEEE Trans. Circuits Syst. Video Technol. Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang
2021	J	`jnl`	Multi-objectivization inspired metaheuristics for the sum-of-the-parts combinatorial optimization problems. Appl. Soft Comput. Jialong Shi, Jianyong Sun, Qingfu Zhang
2021	J	`jnl`	Multiobjective Multitasking Optimization Based on Decomposition with Dual Neighborhoods. CoRR Xianpeng Wang, Zhiming Dong, Lixin Tang, Qingfu Zhang
2021	J	`jnl`	Multiple Penalties and Multiple Local Surrogates for Expensive Constrained Optimization. IEEE Trans. Evol. Comput. Genghui Li, Qingfu Zhang
2021	C	`conf`	Multitask Feature Selection for Objective Reduction. EMO Genghui Li, Qingfu Zhang
2021	C	`conf`	On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D. EMO Zhenkun Wang, Jingda Deng, Qingfu Zhang, Qite Yang
2021	J	`jnl`	Self-supervised Symmetric Nonnegative Matrix Factorization. CoRR Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang
2021	A*	`conf`	Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild. ICCV Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang
2021	J	`jnl`	Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild. CoRR Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang
2021	J	`jnl`	Solving Nonlinear Equation Systems by a Two-Phase Evolutionary Algorithm. IEEE Trans. Syst. Man Cybern. Syst. Weifeng Gao, Genghui Li, Qingfu Zhang, Yuting Luo, Zhenkun Wang
2021	J	`jnl`	Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images. CoRR Jianfei Guo, Zhiyuan Yang, Xi Lin, Qingfu Zhang
2021	J	`jnl`	The Collaborative Local Search Based on Dynamic-Constrained Decomposition With Grids for Combinatorial Multiobjective Optimization. IEEE Trans. Cybern. Xinye Cai, Chao Xia, Qingfu Zhang, Zhiwei Mei, Han Hu, Lisong Wang, Jun Hu
2020	J	`jnl`	A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy. IEEE Trans. Evol. Comput. Qingling Zhu, Qingfu Zhang, Qiuzhen Lin
2020	C	`conf`	A Novel Hybrid Tabu Search Algorithm With Binary Differential Operator for Knapsack Problems. CIS Jun Hu, Qingfu Zhang, Yong-Chang Jiao
2020	J	`jnl`	A new replica placement strategy based on multi-objective optimisation for HDFS. Int. J. Bio Inspired Comput. Yangyang Li, Mengzhuo Tian, Yang Wang, Qingfu Zhang, Dhish Kumar Saxena, Licheng Jiao
2020	J	`jnl`	Clustering Ensemble Meets Low-rank Tensor Approximation. CoRR Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang
2020	J	`jnl`	Combining Simple and Adaptive Monte Carlo Methods for Approximating Hypervolume. IEEE Trans. Evol. Comput. Jingda Deng, Qingfu Zhang
2020	J	`jnl`	Controllable Pareto Multi-Task Learning. CoRR Xi Lin, Zhiyuan Yang, Qingfu Zhang, Sam Kwong
2020	—	`conf`	Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion Ke Li, Qingfu Zhang, Saúl Zapotecas Martínez
2020	A	`conf`	Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition. GECCO Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, Hernán E. Aguirre, Qingfu Zhang, Kiyoshi Tanaka
2020	J	`jnl`	Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit. Evol. Comput. Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
2020	J	`jnl`	Evolution strategies for continuous optimization: A survey of the state-of-the-art. Swarm Evol. Comput. Zhenhua Li, Xi Lin, Qingfu Zhang, Hai-Lin Liu
2020	J	`jnl`	Evolutionary Many-Objective Optimization Based on Adversarial Decomposition. IEEE Trans. Cybern. Mengyuan Wu, Ke Li, Sam Kwong, Qingfu Zhang
2020	J	`jnl`	Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization. IEEE Trans. Cybern. Zhenhua Li, Qingfu Zhang, Xi Lin, Hui-Ling Zhen
2020	J	`jnl`	Graph Neural Network Encoding for Community Detection in Attribute Networks. CoRR Jianyong Sun, Wei Zheng, Qingfu Zhang, Zongben Xu
2020	B	`conf`	Hybrid Single and Multiobjective optimization for Engineering Design without Exact Specifications. CEC Bo Liu, Mobayode O. Akinsolu, Qingfu Zhang
2020	J	`jnl`	Maximum Entropy Subspace Clustering Network. CoRR Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang
2020	J	`jnl`	Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation. CoRR Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang
2020	B	`conf`	On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D. EvoCOP Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang
2020	J	`jnl`	On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D. CoRR Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang
2020	J	`jnl`	PPLS/D: Parallel Pareto Local Search Based on Decomposition. IEEE Trans. Cybern. Jialong Shi, Qingfu Zhang, Jianyong Sun
2020	A	`conf`	Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis. GECCO Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel, Qingfu Zhang
2020	J	`jnl`	Variable metric evolution strategies by mutation matrix adaptation. Inf. Sci. Zhenhua Li, Qingfu Zhang
2019	J	`jnl`	A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries. IEEE Trans. Evol. Comput. Zhenkun Wang, Yew-Soon Ong, Jianyong Sun, Abhishek Gupta, Qingfu Zhang
2019	J	`jnl`	A Grid Weighted Sum Pareto Local Search for Combinatorial Multi and Many-Objective Optimization. IEEE Trans. Cybern. Xinye Cai, Haoran Sun, Qingfu Zhang, Yuhua Huang
2019	J	`jnl`	A Survey on Cooperative Co-Evolutionary Algorithms. IEEE Trans. Evol. Comput. Xiaoliang Ma, Xiaodong Li, Qingfu Zhang, Ke Tang, Zhengping Liang, Weixin Xie, Zexuan Zhu
2019	J	`jnl`	A Two-Stage Multiobjective Evolutionary Algorithm for Multiobjective Multidepot Vehicle Routing Problem With Time Windows. IEEE Trans. Cybern. Jiahai Wang, Taiyao Weng, Qingfu Zhang
2019	J	`jnl`	A new learning-based adaptive multi-objective evolutionary algorithm. Swarm Evol. Comput. Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang, Ke Zhang
2019	J	`jnl`	Adaptive Epsilon dominance in decomposition-based multiobjective evolutionary algorithm. Swarm Evol. Comput. Hui Li, Jingda Deng, Qingfu Zhang, Jianyong Sun
2019	C	`conf`	Adjustment of Weight Vectors of Penalty-Based Boundary Intersection Method in MOEA/D. EMO Hui Li, Jianyong Sun, Qingfu Zhang, Yuxiang Shui
2019	J	`jnl`	An Effective Ensemble Framework for Multiobjective Optimization. IEEE Trans. Evol. Comput. Wenjun Wang, Shaoqiang Yang, Qiuzhen Lin, Qingfu Zhang, Ka-Chun Wong, Carlos A. Coello Coello, Jianyong Chen
2019	B	`conf`	An Efficient Elitist Covariance Matrix Adaptation for Continuous Local Search in High Dimension. CEC Zhenhua Li, Jingda Deng, Weifeng Gao, Qingfu Zhang, Hai-Lin Liu
2019	J	`jnl`	Approximating Hypervolume and Hypervolume Contributions Using Polar Coordinate. IEEE Trans. Evol. Comput. Jingda Deng, Qingfu Zhang
2019	J	`jnl`	Balancing exploration and exploitation in multiobjective evolutionary optimization. Inf. Sci. Hu Zhang, Jianyong Sun, Tonglin Liu, Ke Zhang, Qingfu Zhang
2019	J	`jnl`	Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties. Swarm Evol. Comput. Hui Li, Kalyanmoy Deb, Qingfu Zhang, Ponnuthurai N. Suganthan, Lei Chen
2019	—	`conf`	Decomposition multi-objective optimisation: current developments and future opportunities. GECCO (Companion) Ke Li, Qingfu Zhang
2019	B	`conf`	Efficient Multi-Objective Evolutionary Algorithm for Constrained Global Optimization of Expensive Functions. CEC Zhonghua Han, Fei Liu, Chenzhou Xu, Keshi Zhang, Qingfu Zhang
2019	J	`jnl`	Evolutionary Many-Objective Optimization Based on Dynamical Decomposition. IEEE Trans. Evol. Comput. Xiaoyu He, Yuren Zhou, Zefeng Chen, Qingfu Zhang
2019	J	`jnl`	Homotopic Convex Transformation: A New Method to Smooth the Landscape of the Traveling Salesman Problem. CoRR Jialong Shi, Jianyong Sun, Qingfu Zhang
2019	A*	`conf`	Imbalance-aware Pairwise Constraint Propagation. ACM Multimedia Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang
2019	J	`jnl`	Learning From a Stream of Nonstationary and Dependent Data in Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang, Ke Zhang, Zhenbiao Tu, Kai Ye
2019	J	`jnl`	Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization. IEEE Trans. Evol. Comput. Mengyuan Wu, Ke Li, Sam Kwong, Qingfu Zhang, Jun Zhang
2019	B	`conf`	MOEA/D with Two Types of Weight Vectors for Handling Constraints. CEC Qingling Zhu, Qingfu Zhang, Qiuzhen Lin, Jianyong Sun
2019	J	`jnl`	Multi-Objectivizing Sum-of-the-Parts Combinatorial Optimization Problems by Random Objective Decomposition. CoRR Jialong Shi, Jianyong Sun, Qingfu Zhang
2019	C	`conf`	Multi-objective Techniques for Single-Objective Local Search: A Case Study on Traveling Salesman Problem. EMO Jialong Shi, Jianyong Sun, Qingfu Zhang
2019	A*	`conf`	Pareto Multi-Task Learning. NeurIPS Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong
2019	J	`jnl`	Pareto Multi-Task Learning. CoRR Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong
2019	J	`jnl`	Push and pull search for solving constrained multi-objective optimization problems. Swarm Evol. Comput. Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
2019	B	`conf`	Radial Basis Function Assisted Optimization Method with Batch Infill Sampling Criterion for Expensive Optimization. CEC Genghui Li, Qingfu Zhang, Jianyong Sun, Zhonghua Han
2019	J	`jnl`	Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm. IEEE Trans. Evol. Comput. Hui Li, Kalyanmoy Deb, Qingfu Zhang
2018	J	`jnl`	A Batched Scalable Multi-Objective Bayesian Optimization Algorithm. CoRR Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong
2018	J	`jnl`	A Constrained Decomposition Approach With Grids for Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. Xinye Cai, Zhiwei Mei, Zhun Fan, Qingfu Zhang
2018	J	`jnl`	A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization. IEEE Trans. Neural Networks Learn. Syst. Hui Li, Qingfu Zhang, Jingda Deng, Zong-Ben Xu
2018	J	`jnl`	A Simple Yet Efficient Evolution Strategy for Large-Scale Black-Box Optimization. IEEE Trans. Evol. Comput. Zhenhua Li, Qingfu Zhang
2018	J	`jnl`	A new cooperative framework for parallel trajectory-based metaheuristics. Appl. Soft Comput. Jialong Shi, Qingfu Zhang
2018	A	`conf`	A set-oriented MOEA/D. GECCO Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Sébastien Vérel, Hernán E. Aguirre, Kiyoshi Tanaka
2018	J	`jnl`	Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. Hai-Lin Liu, Lei Chen, Qingfu Zhang, Kalyanmoy Deb
2018	—	`ed.`	Advances in Computational Intelligence Systems - Contributions Presented at the 17th UK Workshop on Computational Intelligence, September 6-8, 2017, Cardiff, UK UKCI Fei Chao, Steven Schockaert, Qingfu Zhang
2018	—	`conf`	Balancing exploration and exploitation in multiobjective evolutionary optimization. GECCO (Companion) Jianyong Sun, Hu Zhang, Qingfu Zhang, Huanhuan Chen
2018	—	`ed.`	Bio-inspired Computing: Theories and Applications - 13th International Conference, BIC-TA 2018, Beijing, China, November 2-4, 2018, Proceedings, Part I BIC-TA Jianyong Qiao, Xinchao Zhao, Linqiang Pan, Xingquan Zuo, Xingyi Zhang, Qingfu Zhang, Shanguo Huang
2018	—	`ed.`	Bio-inspired Computing: Theories and Applications - 13th International Conference, BIC-TA 2018, Beijing, China, November 2-4, 2018, Proceedings, Part II BIC-TA (2) Jianyong Qiao, Xinchao Zhao, Linqiang Pan, Xingquan Zuo, Xingyi Zhang, Qingfu Zhang, Shanguo Huang
2018	J	`jnl`	Corrigendum to "A new cooperative framework for parallel trajectory-based metaheuristics" [Applied Soft Computing 65 (2018) 374-386]. Appl. Soft Comput. Jialong Shi, Qingfu Zhang
2018	—	`conf`	Decomposition multi-objective optimisation: current developments and future opportunities. GECCO (Companion) Ke Li, Qingfu Zhang
2018	J	`jnl`	EB-GLS: an improved guided local search based on the big valley structure. Memetic Comput. Jialong Shi, Qingfu Zhang, Edward P. K. Tsang
2018	J	`jnl`	Locating the boundaries of Pareto fronts: A Many-Objective Evolutionary Algorithm Based on Corner Solution Search. CoRR Xinye Cai, Haoran Sun, Chunyang Zhu, Zhenyu Li, Qingfu Zhang
2018	J	`jnl`	MOEA/D with chain-based random local search for sparse optimization. Soft Comput. Hui Li, Jianyong Sun, Mingyang Wang, Qingfu Zhang
2018	—	`conf`	Multipopulation evolution framework for multifactorial optimization. GECCO (Companion) Genghui Li, Qingfu Zhang, Weifeng Gao
2018	J	`jnl`	Nonlinear Collaborative Scheme for Deep Neural Networks. CoRR Hui-Ling Zhen, Xi Lin, Alan Z. Tang, Zhenhua Li, Qingfu Zhang, Sam Kwong
2018	J	`jnl`	On Tchebycheff Decomposition Approaches for Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. Xiaoliang Ma, Qingfu Zhang, Guangdong Tian, Junshan Yang, Zexuan Zhu
2018	J	`jnl`	Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives. Eur. J. Oper. Res. Yuanchun Jiang, Yezheng Liu, Jennifer Shang, Pinar Yildirim, Qingfu Zhang
2018	A	`conf`	Parallel pareto local search revisited: first experimental results on bi-objective UBQP. GECCO Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Jianyong Sun
2018	J	`jnl`	Special issue on The 17th Annual UK Workshop on Computational Intelligence. Soft Comput. Qingfu Zhang, Fei Chao
2017	J	`jnl`	A New Cooperative Framework for Parallel Trajectory-Based Metaheuristics. CoRR Jialong Shi, Qingfu Zhang
2017	—	`conf`	A New Steady-State MOEA/D for Sparse Optimization. UKCI Hui Li, Jianyong Sun, Yuanyuan Fan, Mingyang Wang, Qingfu Zhang
2017	B	`conf`	A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming problem. CEC Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe
2017	—	`conf`	A Reference-Inspired Evolutionary Algorithm with Subregion Decomposition for Many-Objective Optimization. UKCI Xiaogang Fu, Jianyong Sun, Qingfu Zhang
2017	J	`jnl`	A Simple Yet Efficient Rank One Update for Covariance Matrix Adaptation. CoRR Zhenhua Li, Qingfu Zhang
2017	J	`jnl`	A Two-Phase Evolutionary Approach for Compressive Sensing Reconstruction. IEEE Trans. Cybern. Yu Zhou, Sam Kwong, Hainan Guo, Xiao Zhang, Qingfu Zhang
2017	A	`conf`	Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression. GECCO Mengyuan Wu, Sam Kwong, Yuheng Jia, Ke Li, Qingfu Zhang
2017	B	`conf`	An efficient batch expensive multi-objective evolutionary algorithm based on Decomposition. CEC Xi Lin, Qingfu Zhang, Sam Kwong
2017	B	`conf`	An efficient rank-1 update for Cholesky CMA-ES using auxiliary evolution path. CEC Zhenhua Li, Qingfu Zhang
2017	J	`jnl`	Biased Multiobjective Optimization and Decomposition Algorithm. IEEE Trans. Cybern. Hui Li, Qingfu Zhang, Jingda Deng
2017	B	`conf`	Decomposition Based Evolutionary Algorithm with a Dual Set of reference vectors. CEC Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray, Qingfu Zhang
2017	J	`jnl`	Decomposition-Based-Sorting and Angle-Based-Selection for Evolutionary Multiobjective and Many-Objective Optimization. IEEE Trans. Cybern. Xinye Cai, Zhixiang Yang, Zhun Fan, Qingfu Zhang
2017	J	`jnl`	EB-GLS: An Improved Guided Local Search Based on the Big Valley Structure. CoRR Jialong Shi, Qingfu Zhang, Edward P. K. Tsang
2017	J	`jnl`	Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. Ke Li, Kalyanmoy Deb, Qingfu Zhang, Qiang Zhang
2017	J	`jnl`	Evolutionary Many-Objective Optimization Based on Adversarial Decomposition. CoRR Mengyuan Wu, Ke Li, Sam Kwong, Qingfu Zhang
2017	J	`jnl`	Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. CoRR Yuan Yuan, Yew-Soon Ong, Liang Feng, A. K. Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi
2017	J	`jnl`	Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization. IEEE Trans. Evol. Comput. Mengyuan Wu, Ke Li, Sam Kwong, Yu Zhou, Qingfu Zhang
2017	—	`conf`	On the Use of Dynamic Reference Points in HypE. SEAL Jingda Deng, Qingfu Zhang, Hui Li
2017	J	`jnl`	On the use of two reference points in decomposition based multiobjective evolutionary algorithms. Swarm Evol. Comput. Zhenkun Wang, Qingfu Zhang, Hui Li, Hisao Ishibuchi, Licheng Jiao
2017	J	`jnl`	PPLS/D: Parallel Pareto Local Search based on Decomposition. CoRR Jialong Shi, Qingfu Zhang
2017	J	`jnl`	Performance Analysis of Evolutionary Algorithms for Steiner Tree Problems. Evol. Comput. Xinsheng Lai, Yuren Zhou, Xiaoyun Xia, Qingfu Zhang
2017	J	`jnl`	Problem Specific MOEA/D for Barrier Coverage with Wireless Sensors. IEEE Trans. Cybern. Xiao Zhang, Yu Zhou, Qingfu Zhang, Victor C. S. Lee, Minming Li
2017	J	`jnl`	Push and Pull Search for Solving Constrained Multi-objective Optimization Problems. CoRR Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
2017	—	`ed.`	Simulated Evolution and Learning - 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings SEAL Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li, Qingfu Zhang, Ying Tan, Martin Middendorf, Yaochu Jin
2017	—	`conf`	Using Parallel Strategies to Speed up Pareto Local Search. SEAL Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel
2016	J	`jnl`	A Self-Organizing Multiobjective Evolutionary Algorithm. IEEE Trans. Evol. Comput. Hu Zhang, Aimin Zhou, Shenmin Song, Qingfu Zhang, Xiao Zhi Gao, Jun Zhang
2016	B	`conf`	A cone order sequence based multi-objective evolutionary algorithm. CEC Yueming Lyu, Qingfu Zhang, Ka-Chun Wong
2016	B	`conf`	A decomposition based multiobjective evolutionary algorithm with classification. CEC Xi Lin, Qingfu Zhang, Sam Kwong
2016	J	`jnl`	A multi-fidelity surrogate-model-assisted evolutionary algorithm for computationally expensive optimization problems. J. Comput. Sci. Bo Liu, Slawomir Koziel, Qingfu Zhang
2016	B	`conf`	A multi-phase multiobjective approach based on decomposition for sparse reconstruction. CEC Hui Li, Yuanyuan Fan, Qingfu Zhang, Zongben Xu, Jingda Deng
2016	B	`conf`	A surrogate model assisted evolutionary algorithm for computationally expensive design optimization problems with discrete variables. CEC Bo Liu, Nan Sun, Qingfu Zhang, Vic Grout, Georges G. E. Gielen
2016	J	`jnl`	Adaptive Replacement Strategies for MOEA/D. IEEE Trans. Cybern. Zhenkun Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao
2016	J	`jnl`	Adaptive Two-Level Matching-Based Selection for Decomposition Multi-Objective Optimization. CoRR Mengyuan Wu, Ke Li, Sam Kwong, Yu Zhou, Qingfu Zhang
2016	B	`conf`	Adaptive patch-based sparsity estimation for image via MOEA/D. CEC Yu Zhou, Sam Kwong, Qingfu Zhang, Mengyuan Wu
2016	B	`conf`	An evolutionary many-objective optimisation algorithm with adaptive region decomposition. CEC Hai-Lin Liu, Lei Chen, Qingfu Zhang, Kalyanmoy Deb
2016	J	`jnl`	Are All the Subproblems Equally Important? Resource Allocation in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. Aimin Zhou, Qingfu Zhang
2016	B	`conf`	Black-box expensive multiobjective optimization with adaptive in-fill rules. CEC Qin Chen, Bingxiang Long, Qingfu Zhang
2016	J	`jnl`	Constrained Subproblems in a Decomposition-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Evol. Comput. Luping Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao
2016	J	`jnl`	Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods. IEEE Trans. Evol. Comput. Rui Wang, Qingfu Zhang, Tao Zhang
2016	J	`jnl`	Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit. CoRR Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Kaiwen Hu, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
2016	J	`jnl`	Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. Dhish Kumar Saxena, Arnab Sinha, João A. Duro, Qingfu Zhang
2016	J	`jnl`	Learning from Non-Stationary Stream Data in Multiobjective Evolutionary Algorithm. CoRR Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang
2016	—	`conf`	Local Search Move Strategies within MOEA/D. GECCO (Companion) Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernán E. Aguirre, Kiyoshi Tanaka
2016	A	`conf`	Multi-objective Local Search Based on Decomposition. PPSN Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernán E. Aguirre, Kiyoshi Tanaka
2016	J	`jnl`	Multiobjective differential evolution algorithm based on decomposition for a type of multiobjective bilevel programming problems. Knowl. Based Syst. Hong Li, Qingfu Zhang, Qin Chen, Li Zhang, Yong-Chang Jiao
2016	J	`jnl`	Regularity Model for Noisy Multiobjective Optimization. IEEE Trans. Cybern. Handing Wang, Qingfu Zhang, Licheng Jiao, Xin Yao
2016	A	`conf`	What Does the Evolution Path Learn in CMA-ES? PPSN Zhenhua Li, Qingfu Zhang
2015	J	`jnl`	A Multiutility Framework With Application for Studying Tradeoff Between Utility and Lifetime in Wireless Sensor Networks. IEEE Trans. Veh. Technol. Shengbin Liao, Qingfu Zhang
2015	J	`jnl`	A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization. J. Glob. Optim. Zhiwei Feng, Qingbin Zhang, Qingfu Zhang, Qiangang Tang, Tao Yang, Yang Ma
2015	J	`jnl`	An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods. IEEE Trans. Evol. Comput. Aimin Zhou, Jianyong Sun, Qingfu Zhang
2015	J	`jnl`	An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition. IEEE Trans. Evol. Comput. Ke Li, Kalyanmoy Deb, Qingfu Zhang, Sam Kwong
2015	J	`jnl`	An External Archive Guided Multiobjective Evolutionary Algorithm Based on Decomposition for Combinatorial Optimization. IEEE Trans. Evol. Comput. Xinye Cai, Yexing Li, Zhun Fan, Qingfu Zhang
2015	B	`conf`	Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work. SMC Zhenkun Wang, Qingfu Zhang, Hui Li
2015	J	`jnl`	Distributed evolutionary algorithms and their models: A survey of the state-of-the-art. Appl. Soft Comput. Yue-Jiao Gong, Wei-Neng Chen, Zhi-Hui Zhan, Jun Zhang, Yun Li, Qingfu Zhang, Jing-Jing Li
2015	B	`conf`	Evolutionary multiobjective optimization with hybrid selection principles. CEC Ke Li, Kalyanmoy Deb, Qingfu Zhang
2015	J	`jnl`	Global path planning of wheeled robots using multi-objective memetic algorithms. Integr. Comput. Aided Eng. Zexuan Zhu, Jun Xiao, Jian-Qiang Li, Fangxiao Wang, Qingfu Zhang
2015	J	`jnl`	Interrelationship-Based Selection for Decomposition Multiobjective Optimization. IEEE Trans. Cybern. Ke Li, Sam Kwong, Qingfu Zhang, Kalyanmoy Deb
2015	—	`conf`	Multi-objective Optimization of Barrier Coverage with Wireless Sensors. EMO (2) Xiao Zhang, Yu Zhou, Qingfu Zhang, Victor C. S. Lee, Minming Li
2015	J	`jnl`	Multiobjective evolutionary algorithm based on decomposition for 3-objective optimization problems with objectives in different scales. Soft Comput. Álvaro Rubio-Largo, Qingfu Zhang, Miguel A. Vega-Rodríguez
2015	B	`conf`	On performance of decomposition-based MOEAs in noisy environment. CEC Qin Chen, Cheng Fu, Qingfu Zhang
2015	B	`conf`	On the use of random weights in MOEA/D. CEC Hui Li, Min Ding, Jingda Deng, Qingfu Zhang
2015	—	`conf`	Pareto Adaptive Scalarising Functions for Decomposition Based Algorithms. EMO (1) Rui Wang, Qingfu Zhang, Tao Zhang
2015	B	`conf`	Two-Level Stable Matching-Based Selection in MOEA/D. SMC Mengyuan Wu, Sam Kwong, Qingfu Zhang, Ke Li, Ran Wang, Bo Liu
2014	J	`jnl`	A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems. IEEE Trans. Evol. Comput. Bo Liu, Qingfu Zhang, Georges G. E. Gielen
2014	J	`jnl`	A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Cybern. Aimin Zhou, Yaochu Jin, Qingfu Zhang
2014	B	`conf`	A cooperative approach between metaheuristic and branch-and-price for the team orienteering problem with time windows. IEEE Congress on Evolutionary Computation Liangjun Ke, Huimin Guo, Qingfu Zhang
2014	J	`jnl`	A multiobjective evolutionary algorithm based on decomposition with normal boundary intersection for traffic grooming in optical networks. Inf. Sci. Álvaro Rubio-Largo, Qingfu Zhang, Miguel A. Vega-Rodríguez
2014	B	`conf`	A replacement strategy for balancing convergence and diversity in MOEA/D. IEEE Congress on Evolutionary Computation Zhenkun Wang, Qingfu Zhang, Maoguo Gong, Aimin Zhou
2014	J	`jnl`	Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Trans. Evol. Comput. Ke Li, Álvaro Fialho, Sam Kwong, Qingfu Zhang
2014	B	`conf`	An external archive guided multiobjective evolutionary approach based on decomposition for continuous optimization. IEEE Congress on Evolutionary Computation Yexing Li, Xinye Cai, Zhun Fan, Qingfu Zhang
2014	B	`conf`	Behavioral study of the surrogate model-aware evolutionary search framework. IEEE Congress on Evolutionary Computation Bo Liu, Qin Chen, Qingfu Zhang, Georges G. E. Gielen, Vic Grout
2014	J	`jnl`	Bridging machine learning and evolutionary computation. Neurocomputing Sam Kwong, Qingfu Zhang
2014	J	`jnl`	Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems. IEEE Trans. Evol. Comput. Hai-Lin Liu, Fangqing Gu, Qingfu Zhang
2014	J	`jnl`	Enhanced particle swarm optimization based on principal component analysis and line search. Appl. Math. Comput. Xinchao Zhao, Wenqiao Lin, Qingfu Zhang
2014	—	`conf`	Hybridisation of decomposition and GRASP for combinatorial multiobjective optimisation. UKCI Ahmad Alhindi, Qingfu Zhang, Edward P. K. Tsang
2014	J	`jnl`	Hybridization of Decomposition and Local Search for Multiobjective Optimization. IEEE Trans. Cybern. Liangjun Ke, Qingfu Zhang, Roberto Battiti
2014	B	`conf`	MOEA/D with Tabu Search for multiobjective permutation flow shop scheduling problems. IEEE Congress on Evolutionary Computation Ahmad Alhindi, Qingfu Zhang
2014	J	`jnl`	Machine learning based decision support for many-objective optimization problems. Neurocomputing João A. Duro, Dhish Kumar Saxena, Kalyanmoy Deb, Qingfu Zhang
2014	J	`jnl`	Meta-Heuristic Combining Prior Online and Offline Information for the Quadratic Assignment Problem. IEEE Trans. Cybern. Jianyong Sun, Qingfu Zhang, Xin Yao
2014	B	`conf`	Multiobjective test problems with complicated Pareto fronts: Difficulties in degeneracy. IEEE Congress on Evolutionary Computation Hui Li, Qingfu Zhang, Jingda Deng
2014	J	`jnl`	Stable Matching-Based Selection in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. Ke Li, Qingfu Zhang, Sam Kwong, Miqing Li, Ran Wang
2013	J	`jnl`	An Efficient Evolutionary Algorithm for Chance-Constrained Bi-Objective Stochastic Optimization. IEEE Trans. Evol. Comput. Bo Liu, Qingfu Zhang, Francisco V. Fernández, Georges G. E. Gielen
2013	J	`jnl`	An Intelligent Multi-Restart Memetic Algorithm for Box Constrained Global Optimisation. Evol. Comput. Jianyong Sun, Jonathan M. Garibaldi, Natalio Krasnogor, Qingfu Zhang
2013	C	`conf`	Approximation Model Guided Selection for Evolutionary Multiobjective Optimization. EMO Aimin Zhou, Qingfu Zhang, Guixu Zhang
2013	J	`jnl`	Fitness Modeling With Markov Networks. IEEE Trans. Evol. Comput. Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang
2013	J	`jnl`	Identification of multi-resolution network structures with multi-objective immune algorithm. Appl. Soft Comput. Maoguo Gong, Xiaowei Chen, Lijia Ma, Qingfu Zhang, Licheng Jiao
2013	A	`conf`	MOEA/D for traffic grooming in WDM optical networks. GECCO Álvaro Rubio-Largo, Qingfu Zhang, Miguel A. Vega-Rodríguez
2013	J	`jnl`	MOEA/D-ACO: A Multiobjective Evolutionary Algorithm Using Decomposition and AntColony. IEEE Trans. Cybern. Liangjun Ke, Qingfu Zhang, Roberto Battiti
2013	J	`jnl`	Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms. IEEE Trans. Evol. Comput. Dhish Kumar Saxena, João A. Duro, Ashutosh Tiwari, Kalyanmoy Deb, Qingfu Zhang
2012	J	`jnl`	A Self-guided Genetic Algorithm for permutation flowshop scheduling problems. Comput. Oper. Res. Shih-Hsin Chen, Pei-Chann Chang, T. C. E. Cheng, Qingfu Zhang
2012	B	`conf`	A multiobjective evolutionary algorithm based on decomposition and probability model. IEEE Congress on Evolutionary Computation Aimin Zhou, Qingfu Zhang, Guixu Zhang
2012	J	`jnl`	Decomposition-Based Multiobjective Evolutionary Algorithm With an Ensemble of Neighborhood Sizes. IEEE Trans. Evol. Comput. Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Qingfu Zhang
2012	J	`jnl`	Enhancing the search ability of differential evolution through orthogonal crossover. Inf. Sci. Yong Wang, Zixing Cai, Qingfu Zhang
2012	—	`conf`	MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems. PPSN (2) Hui Li, Xiaolei Su, Zongben Xu, Qingfu Zhang
2012	—	`ch.`	Multiobjective Memetic Algorithms. Handbook of Memetic Algorithms Andrzej Jaszkiewicz, Hisao Ishibuchi, Qingfu Zhang
2012	—	`conf`	Network Topology Planning Using MOEA/D with Objective-Guided Operators. PPSN (2) Wei Peng, Qingfu Zhang
2012	B	`conf`	Self-adaptive lower confidence bound: A new general and effective prescreening method for Gaussian Process surrogate model assisted evolutionary algorithms. IEEE Congress on Evolutionary Computation Bo Liu, Qingfu Zhang, Francisco V. Fernández, Georges G. E. Gielen
2011	J	`jnl`	Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters. IEEE Trans. Evol. Comput. Yong Wang, Zixing Cai, Qingfu Zhang
2011	—	`conf`	Distribution of Computational Effort in Parallel MOEA/D. LION Juan José Durillo, Qingfu Zhang, Antonio J. Nebro, Enrique Alba
2011	C	`conf`	Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes. EMO Dhish Kumar Saxena, Qingfu Zhang, João A. Duro, Ashutosh Tiwari
2011	A	`conf`	Interactive MOEA/D for multi-objective decision making. GECCO Maoguo Gong, Fang Liu, Wei Zhang, Licheng Jiao, Qingfu Zhang
2011	J	`jnl`	Multiobjective evolutionary algorithms: A survey of the state of the art. Swarm Evol. Comput. Aimin Zhou, Bo-Yang Qu, Hui Li, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Qingfu Zhang
2011	B	`conf`	On the limits of effectiveness in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation Carlos Echegoyen, Qingfu Zhang, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2011	A	`conf`	P-GLS-II: an enhanced version of the population-based guided local search. GECCO Nasser Tairan, Qingfu Zhang
2011	—	`conf`	Spatio-temporal data evolutionary clustering based on MOEA/D. GECCO (Companion) Jingjing Ma, Yanhui Wang, Maoguo Gong, Licheng Jiao, Qingfu Zhang
2010	J	`jnl`	A multi-objective evolutionary algorithm for the deployment and power assignment problem in wireless sensor networks. Comput. Networks Andreas Konstantinidis, Kun Yang, Qingfu Zhang, Demetrios Zeinalipour-Yazti
2010	B	`conf`	A surrogate-assisted evolutionary algorithm for minimax optimization. IEEE Congress on Evolutionary Computation Aimin Zhou, Qingfu Zhang
2010	B	`conf`	An enhanced MOEA/D-DE and its application to multiobjective analog cell sizing. IEEE Congress on Evolutionary Computation Bo Liu, Francisco V. Fernández, Qingfu Zhang, Murat Pak, Suha Sipahi, Georges G. E. Gielen
2010	J	`jnl`	Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model. IEEE Trans. Evol. Comput. Qingfu Zhang, Wudong Liu, Edward P. K. Tsang, Botond Virginas
2010	J	`jnl`	Guidelines for developing effective Estimation of Distribution Algorithms in solving single machine scheduling problems. Expert Syst. Appl. Shih-Hsin Chen, Min-Chih Chen, Pei-Chann Chang, Qingfu Zhang, Yuh-Min Chen
2010	B	`conf`	MOEA/D with NBI-style Tchebycheff approach for portfolio management. IEEE Congress on Evolutionary Computation Qingfu Zhang, Hui Li, Dietmar Maringer, Edward P. K. Tsang
2010	B	`conf`	Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results. IEEE Congress on Evolutionary Computation Bashar Awwad Shiekh Hasan, John Q. Gan, Qingfu Zhang
2010	B	`conf`	Multi-objective mobile agent-based Sensor Network Routing using MOEA/D. IEEE Congress on Evolutionary Computation Andreas Konstantinidis, Christoforos Charalambous, Aimin Zhou, Qingfu Zhang
2010	B	`conf`	Population-Based Guided Local Search: Some preliminary experimental results. IEEE Congress on Evolutionary Computation Nasser Tairan, Qingfu Zhang
2010	J	`jnl`	Reactive Search and Intelligent Optimization (Battiti, R., et al.; 2008) [Book Review]. IEEE Comput. Intell. Mag. Qingfu Zhang
2010	J	`jnl`	Two-level evolutionary approach to the survivable mesh-based transport network topological design. J. Heuristics J. Sun, Qingfu Zhang, J. Li
2009	B	`conf`	A Subproblem-dependent Heuristic in MOEA/D for the Deployment and Power Assignment Problem in Wireless Sensor Networks. IEEE Congress on Evolutionary Computation Andreas Konstantinidis, Qingfu Zhang, Kun Yang
2009	B	`conf`	A self-guided genetic algorithm for flowshop scheduling problems. IEEE Congress on Evolutionary Computation Shih-Hsin Chen, Pei-Chann Chang, Qingfu Zhang
2009	—	`conf`	An Evolutionary Approach for Survivable Network under SRLG Constraints. ICNC (4) Yueheng Sun, Jianyong Sun, Qingfu Zhang
2009	J	`jnl`	Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm. IEEE Trans. Evol. Comput. Aimin Zhou, Qingfu Zhang, Yaochu Jin
2009	B	`conf`	Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization. IEEE Congress on Evolutionary Computation Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang
2009	B	`conf`	Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization. IEEE Congress on Evolutionary Computation Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Botond Virginas
2009	J	`jnl`	Guest Editorial: Special Issue on Evolutionary Algorithms Based on Probabilistic Models. IEEE Trans. Evol. Comput. José Antonio Lozano, Qingfu Zhang, Pedro Larrañaga
2009	B	`conf`	Multiobjective K-Connected Deployment and Power Assignment in WSNs Using Constraint Handling. GLOBECOM Andreas Konstantinidis, Kun Yang, Qingfu Zhang, Fernando Gordejuela-Sanchez
2009	J	`jnl`	Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II. IEEE Trans. Evol. Comput. Hui Li, Qingfu Zhang
2009	—	`conf`	Problem-Specific Encoding and Genetic Operation for a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks. ICC Andreas Konstantinidis, Kun Yang, Qingfu Zhang
2009	J	`jnl`	Recent developments in natural computation. Neurocomputing JingTao Yao, Qingfu Zhang, Jingsheng Lei
2009	B	`conf`	Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. IEEE Congress on Evolutionary Computation Alexander E. I. Brownlee, John A. W. McCall, Siddhartha Shakya, Qingfu Zhang
2009	B	`conf`	The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances. IEEE Congress on Evolutionary Computation Qingfu Zhang, Wudong Liu, Hui Li
2008	Misc	`conf`	A Decomposition-based Multi-objective Particle Swarm Optimization Algorithm for Continuous Optimization Problems. GrC Wei Peng, Qingfu Zhang
2008	J	`jnl`	A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design. Int. J. Comput. Intell. Appl. Jianyong Sun, Qingfu Zhang, Jin Li, Xin Yao
2008	B	`conf`	An Evolutionary Algorithm to a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks. GLOBECOM Andreas Konstantinidis, Kun Yang, Qingfu Zhang
2008	B	`conf`	Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm. IEEE Congress on Evolutionary Computation Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang, Deryck Forsyth Brown
2008	B	`conf`	Combination of EDA and DE for continuous biobjective optimization. IEEE Congress on Evolutionary Computation Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff
2008	J	`jnl`	Errata to "RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm" [Feb 08 41-63]. IEEE Trans. Evol. Comput. Qingfu Zhang, Aimin Zhou, Yaochu Jin
2008	J	`jnl`	Improving geodesic distance estimation based on locally linear assumption. Pattern Recognit. Lett. Deyu Meng, Yee Leung, Zongben Xu, Tung Fung, Qingfu Zhang
2008	B	`conf`	MOEA/D for flowshop scheduling problems. IEEE Congress on Evolutionary Computation Pei-Chann Chang, Shih-Hsin Chen, Qingfu Zhang, Jun-Lin Lin
2008	—	`ch.`	Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms. Multiobjective Problem Solving from Nature Yaochu Jin, Aimin Zhou, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang
2008	J	`jnl`	RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm. IEEE Trans. Evol. Comput. Qingfu Zhang, Aimin Zhou, Yaochu Jin
2008	—	`conf`	Self-Guided Genetic Algorithm. ICIC (2) Shih-Hsin Chen, Pei-Chann Chang, Qingfu Zhang
2008	B	`conf`	Tchebycheff approximation in Gaussian Process model composition for multi-objective expensive black box. IEEE Congress on Evolutionary Computation Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Botond Virginas
2007	B	`conf`	Adaptivemodelling strategy for continuous multi-objective optimization. IEEE Congress on Evolutionary Computation Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff
2007	A	`conf`	An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem. GECCO Abdellah Salhi, José Antonio Vázquez Rodríguez, Qingfu Zhang
2007	J	`jnl`	Combinations of estimation of distribution algorithms and other techniques. Int. J. Autom. Comput. Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang
2007	J	`jnl`	Energy-aware topology control for wireless sensor networks using memetic algorithms. Comput. Commun. Andreas Konstantinidis, Kun Yang, Hsiao-Hwa Chen, Qingfu Zhang
2007	J	`jnl`	Evolutionary Algorithms Refining a Heuristic: A Hybrid Method for Shared-Path Protections in WDM Networks Under SRLG Constraints. IEEE Trans. Syst. Man Cybern. Part B Qingfu Zhang, Jianyong Sun, Gaoxi Xiao, Edward P. K. Tsang
2007	A	`conf`	Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. GECCO Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang
2007	J	`jnl`	MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Trans. Evol. Comput. Qingfu Zhang, Hui Li
2007	—	`conf`	On the Performance of Metamodel Assisted MOEA/D. ISICA Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Cao Liu, Botond Virginas
2007	C	`conf`	Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. EMO Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang
2007	—	`ed.`	Third International Conference on Natural Computation, ICNC 2007, Haikou, Hainan, China, 24-27 August 2007, Volume 1 ICNC (1) Jingsheng Lei, JingTao Yao, Qingfu Zhang
2007	—	`ed.`	Third International Conference on Natural Computation, ICNC 2007, Haikou, Hainan, China, 24-27 August 2007, Volume 2 ICNC (2) Jingsheng Lei, JingTao Yao, Qingfu Zhang
2007	—	`ed.`	Third International Conference on Natural Computation, ICNC 2007, Haikou, Hainan, China, 24-27 August 2007, Volume 3 ICNC (3) Jingsheng Lei, JingTao Yao, Qingfu Zhang
2007	—	`ed.`	Third International Conference on Natural Computation, ICNC 2007, Haikou, Hainan, China, 24-27 August 2007, Volume 4 ICNC (4) Jingsheng Lei, JingTao Yao, Qingfu Zhang
2007	—	`ed.`	Third International Conference on Natural Computation, ICNC 2007, Haikou, Hainan, China, 24-27 August 2007, Volume 5 ICNC (5) Jingsheng Lei, JingTao Yao, Qingfu Zhang
2006	—	`conf`	A Framework for Distributed Simulation of Asynchronous Handshake Circuits. Annual Simulation Symposium Elias Tsirogiannis, Georgios Theodoropoulos, D. Chen, Qingfu Zhang, Lilian Janin, Doug Edwards
2006	—	`conf`	A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design. SEAL Jianyong Sun, Qingfu Zhang, Jin Li, Xin Yao
2006	A	`conf`	A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages. PPSN Hui Li, Qingfu Zhang
2006	B	`conf`	Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion. IEEE Congress on Evolutionary Computation Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang
2006	B	`conf`	Energy-aware Topology Control in Sensor Networks Using Modern Heuristics. GLOBECOM Andreas Konstantinidis, Qingfu Zhang, Kun Yang, Ian Henning
2006	—	`ch.`	Estimation of Distribution Algorithm with 2-opt Local Search for the Quadratic Assignment Problem. Towards a New Evolutionary Computation Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang, John A. Ford
2006	B	`conf`	Iterated Local Search with Guided Mutation. IEEE Congress on Evolutionary Computation Qingfu Zhang, Jianyong Sun
2006	J	`jnl`	Knowledge Incorporation in Evolutionary Computation [Book Review]. IEEE Comput. Intell. Mag. Qingfu Zhang
2006	A	`conf`	Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. PPSN Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang
2005	—	`conf`	A Graph Theoretic Approach to Key Equivalence. MICAI J. Horacio Camacho, Abdellah Salhi, Qingfu Zhang
2005	B	`conf`	A model-based evolutionary algorithm for bi-objective optimization. Congress on Evolutionary Computation Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K. Tsang, Tatsuya Okabe
2005	J	`jnl`	An evolutionary algorithm with guided mutation for the maximum clique problem. IEEE Trans. Evol. Comput. Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang
2005	J	`jnl`	DE/EDA: A new evolutionary algorithm for global optimization. Inf. Sci. Jianyong Sun, Qingfu Zhang, Edward P. K. Tsang
2004	B	`conf`	Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem. EvoCOP Hui Li, Qingfu Zhang, Edward P. K. Tsang, John A. Ford
2004	J	`jnl`	On stability of fixed points of limit models of univariate marginal distribution algorithm and factorized distribution algorithm. IEEE Trans. Evol. Comput. Qingfu Zhang
2004	J	`jnl`	On the convergence of a class of estimation of distribution algorithms. IEEE Trans. Evol. Comput. Qingfu Zhang, Heinz Mühlenbein
2004	J	`jnl`	On the convergence of a factorized distribution algorithm with truncation selection. Complex. Qingfu Zhang
2004	B	`conf`	To understand one-dimensional continuous fitness landscapes by drift analysis. IEEE Congress on Evolutionary Computation Jun He, Xin Yao, Qingfu Zhang
2003	J	`jnl`	On the discrete-time dynamics of a PCA learning algorithm. Neurocomputing Qingfu Zhang
2000	—	`conf`	A Simplified ICA Based Denoising Method. IJCNN (5) Qingfu Zhang, Hujun Yin, Nigel M. Allinson
2000	J	`jnl`	A class of learning algorithms for principal component analysis and minor component analysis. IEEE Trans. Neural Networks Learn. Syst. Qingfu Zhang, Yiu-Wing Leung
2000	J	`jnl`	A class of learning algorithms for principal component analysis and minor component analysis. IEEE Trans. Neural Networks Learn. Syst. Qingfu Zhang, Yiu-Wing Leung
1999	J	`jnl`	An orthogonal genetic algorithm for multimedia multicast routing. IEEE Trans. Evol. Comput. Qingfu Zhang, Yiu-Wing Leung
1996	—	`conf`	A New Evolutionary Model Based on Family Eugenics: the First Results. International Conference on Evolutionary Computation Shaoyan Wu, Qingfu Zhang, Huowang Chen
1995	J	`jnl`	Energy function for the one-unit Oja algorithm. IEEE Trans. Neural Networks Qingfu Zhang, Yiu-Wing Leung