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ORCIDYaochu Jin
Person information
- affiliation: Westlake University, Hangzhou, China
- affiliation (former): Bielefeld University, Germany
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2020 – today
- 2024
[j374]Mengxuan Zhang
, Long Liu, Yaochu Jin, Zhikun Lei, Zhigang Wang, Licheng Jiao:
Tree-shaped multiobjective evolutionary CNN for hyperspectral image classification. Appl. Soft Comput. 152: 111176 (2024)- [j373]Fei Li, Zhengkun Shang, Yuanchao Liu, Hao Shen, Yaochu Jin:
Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization. Appl. Soft Comput. 152: 111194 (2024) - [j372]Xihe Qiu, Jiahui Qian, Haoyu Wang, Xiaoyu Tan, Yaochu Jin:
An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting. Appl. Soft Comput. 154: 111324 (2024) - [j371]Yaochu Jin:
CIS-ing in an Uncertain World [President's Message]. IEEE Comput. Intell. Mag. 19(1): 4-5 (2024) - [j370]Yaochu Jin:
Don't Play Games, Optimize [President's Message]. IEEE Comput. Intell. Mag. 19(2): 3-4 (2024) - [j369]Yaochu Jin:
Newly Elected CIS Administrative Committee Members [Society Briefs]. IEEE Comput. Intell. Mag. 19(2): 5-7 (2024) - [j368]Yaochu Jin:
Time Flies [President's Message]. IEEE Comput. Intell. Mag. 19(3): 3-4 (2024) - [j367]Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin:
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues. ACM Comput. Surv. 56(2): 41:1-41:34 (2024) - [j366]Guoyang Xie, Yawen Huang, Jin-Bao Wang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin:
Cross-modality Neuroimage Synthesis: A Survey. ACM Comput. Surv. 56(3): 80:1-80:28 (2024) - [j365]Fei Ming, Wenyin Gong, Yaochu Jin:
Even Search in a Promising Region for Constrained Multi-Objective Optimization. IEEE CAA J. Autom. Sinica 11(2): 474-486 (2024) - [j364]Jiaqi Liu, Guoyang Xie, Jin-Bao Wang, Shangnian Li, Chengjie Wang, Feng Zheng, Yaochu Jin:
Deep Industrial Image Anomaly Detection: A Survey. Mach. Intell. Res. 21(1): 104-135 (2024) - [j363]Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin:
Efficient adversarial training with multi-fidelity optimization for robust neural network. Neurocomputing 585: 127627 (2024) - [j362]Zhifeng Hao, Yaochu Jin, Xueming Yan, Chuyue Wang, Shangshang Yang, Hong Ge:
Cross-modal hashing retrieval with compatible triplet representation. Neurocomputing 602: 128293 (2024) - [j361]Qiqi Liu, Yuping Yan, Yaochu Jin:
Privacy-preserving federated Bayesian optimization with learnable noise. Inf. Sci. 653: 119739 (2024) - [j360]Xueming Yan, Guo Zhong, Yaochu Jin, Xiaohua Ke, Fenfang Xie, Guoheng Huang:
Binary spectral clustering for multi-view data. Inf. Sci. 677: 120899 (2024) - [j359]Qiqi Liu, Leming Wu, Yaochu Jin:
Federated Bayesian optimization via compressed sensing. Inf. Sci. 681: 121148 (2024) - [j358]Leming Wu, Yaochu Jin, Yuping Yan, Kuangrong Hao:
FL-OTCSEnc: Towards secure federated learning with deep compressed sensing. Knowl. Based Syst. 291: 111534 (2024) - [j357]Shiqing Liu, Xueming Yan, Yaochu Jin:
An edge-aware graph autoencoder trained on scale-imbalanced data for traveling salesman problems. Knowl. Based Syst. 291: 111559 (2024) - [j356]Lingguang Hao, Kuangrong Hao, Yaochu Jin, Hongzhi Zhao:
A hypothetical defenses-based training framework for generating transferable adversarial examples. Knowl. Based Syst. 305: 112602 (2024) - [j355]Tao Lei, Yetong Xu, Hailong Ning, Zhiyong Lv, Chongdan Min, Yaochu Jin, Asoke K. Nandi:
Lightweight Structure-Aware Transformer Network for Remote Sensing Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j354]Fei Ming, Wenyin Gong, Yaochu Jin:
Growing Neural Gas Network-based surrogate-assisted Pareto set learning for multimodal multi-objective optimization. Swarm Evol. Comput. 87: 101541 (2024) - [j353]Yong Pang, Shuai Zhang, Yaochu Jin, Yitang Wang, Xiaonan Lai, Xueguan Song:
Surrogate information transfer and fusion in high-dimensional expensive optimization problems. Swarm Evol. Comput. 88: 101586 (2024) - [j352]Rui Wang, Oguzhan Ersoy, Hangyu Zhu, Yaochu Jin, Kaitai Liang:
FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels. IEEE Trans. Big Data 10(6): 1001-1015 (2024) - [j351]Guoyang Xie, Jinbao Wang, Jiaqi Liu, Jiayi Lyu, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin:
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing. IEEE Trans. Cybern. 54(5): 2720-2733 (2024) - [j350]Hao Jiang, Kang Chou, Ye Tian, Xingyi Zhang, Yaochu Jin:
Efficient Surrogate Modeling Method for Evolutionary Algorithm to Solve Bilevel Optimization Problems. IEEE Trans. Cybern. 54(7): 4335-4347 (2024) - [j349]Wei Song, Shaocong Liu, Xinjie Wang, Yinan Guo, Shengxiang Yang, Yaochu Jin:
Learning to Guide Particle Search for Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 54(9): 5529-5542 (2024) - [j348]Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin:
Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis. IEEE Trans. Evol. Comput. 28(1): 47-61 (2024) - [j347]Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. IEEE Trans. Evol. Comput. 28(2): 323-337 (2024) - [j346]Yaqing Hou, Mingyang Sun, Yifeng Zeng, Yew-Soon Ong, Yaochu Jin, Hongwei Ge, Qiang Zhang:
A Multiagent Cooperative Learning System With Evolution of Social Roles. IEEE Trans. Evol. Comput. 28(2): 531-543 (2024) - [j345]Lianbo Ma, Nan Li, Guo Yu, Xiaoyu Geng, Shi Cheng, Xingwei Wang, Min Huang, Yaochu Jin:
Pareto-Wise Ranking Classifier for Multiobjective Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 28(3): 570-581 (2024) - [j344]Hangyu Zhu, Xilu Wang, Yaochu Jin:
Federated Many-Task Bayesian Optimization. IEEE Trans. Evol. Comput. 28(4): 980-993 (2024) - [j343]Yuanchao Liu, Jianchang Liu, Jinliang Ding, Shangshang Yang, Yaochu Jin:
A Surrogate-Assisted Differential Evolution With Knowledge Transfer for Expensive Incremental Optimization Problems. IEEE Trans. Evol. Comput. 28(4): 1039-1053 (2024) - [j342]Danial Yazdani, Mohammad Nabi Omidvar, Donya Yazdani, Jürgen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao:
Robust Optimization Over Time: A Critical Review. IEEE Trans. Evol. Comput. 28(5): 1265-1285 (2024) - [j341]Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang, Yaochu Jin:
Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(5): 1286-1300 (2024) - [j340]Qiqi Liu, Yuping Yan, Péter Ligeti, Yaochu Jin:
A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 191-205 (2024) - [j339]Xueming Yan, Han Huang, Yaochu Jin, Liang Chen, Zhanning Liang, Zhifeng Hao:
Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 350-363 (2024) - [j338]Huiting Li, Yaochu Jin, Tianyou Chai:
Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 488-502 (2024) - [j337]Hongbin Li, Chaojun Ma, Chuanji Zhang, Qing Chen, Cheng He, Yaochu Jin:
A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1142-1155 (2024) - [j336]Wanting Zhang, Wei Du, Guo Yu, Renchu He, Wenli Du, Yaochu Jin:
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1567-1581 (2024) - [j335]Jianping Luo, YongFei Dong, Qiqi Liu, Zexuan Zhu, Wenming Cao, Kay Chen Tan, Yaochu Jin:
A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1894-1909 (2024) - [j334]Haofeng Wu, Qingda Chen, Yaochu Jin, Jinliang Ding, Tianyou Chai:
A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 2050-2064 (2024) - [j333]Xiaoyu Tan, Chao Qu, Junwu Xiong, James Y. Zhang, Xihe Qiu, Yaochu Jin:
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2974-2986 (2024) - [j332]Haofeng Wu, Yaochu Jin, Kailai Gao, Jinliang Ding, Ran Cheng:
Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3263-3278 (2024) - [j331]Wei Du, Wenxuan Fang, Chen Liang, Yang Tang, Yaochu Jin:
A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3589-3602 (2024) - [j330]Zhen Yang, Jie Zhang, Yunliang Jiang, Yaochu Jin:
An Energy-Efficient Convolution-Based Partitioned Collaborative Perception Algorithm for Large-Scale IoT Services. IEEE Trans. Ind. Informatics 20(5): 7404-7413 (2024) - [j329]Peng Yue, Yaochu Jin, Xuewu Dai, Zhenhua Feng, Dongliang Cui:
Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling. IEEE Trans. Intell. Transp. Syst. 25(1): 478-490 (2024) - [j328]Peng Yue, Yaochu Jin, Xuewu Dai, Zhenhua Feng, Dongliang Cui:
Reinforcement Learning for Scalable Train Timetable Rescheduling With Graph Representation. IEEE Trans. Intell. Transp. Syst. 25(7): 6472-6485 (2024) - [j327]Xinjie Wang, Yaochu Jin, Wenli Du, Jun Wang:
Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1572-1583 (2024) - [j326]Feng Qian, Yaochu Jin, Xinghuo Yu, Yang Tang, Guy B. Marin:
Guest Editorial Special Issue on Learning Theories and Methods With Application to Digitized Process Manufacturing. IEEE Trans. Neural Networks Learn. Syst. 35(3): 2914-2916 (2024) - [j325]Hongliang Guo, Qihang Peng, Zhiguang Cao, Yaochu Jin:
DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3215-3228 (2024) - [j324]Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12938-12952 (2024) - [j323]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 143-155 (2024) - [j322]Shuangming Yang, Haowen Wang, Yanwei Pang, Yaochu Jin, Bernabé Linares-Barranco:
Integrating Visual Perception With Decision Making in Neuromorphic Fault-Tolerant Quadruplet-Spike Learning Framework. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1502-1514 (2024) - [j321]Xiangyu Wang, Ran Cheng, Yaochu Jin:
Sparse Large-Scale Multiobjective Optimization by Identifying Nonzero Decision Variables. IEEE Trans. Syst. Man Cybern. Syst. 54(10): 6280-6292 (2024) - [c186]Xiangyu Wang, Xilu Wang, Yaochu Jin, Ulrich Rückert:
A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. CEC 2024: 1-8 - [c185]Xinan Chen, Wenjie Yi, Ruibin Bai, Rong Qu, Yaochu Jin:
A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic Regression. CEC 2024: 1-8 - [c184]Shiqing Liu, Ulrich Rückert, Yaochu Jin:
FOG: A Unified Framework for Federated Combinatorial Optimization on Graphs. CEC 2024: 1-8 - [c183]Elias A. D. Silva, Lucas S. Palmeira, Marcelo A. Garcia-Júnior, Luiz G. A. Martins, Yaochu Jin, Bruno S. Andrade, Robinson Sabino-Silva, Murillo G. Carneiro:
A Surrogate-Assisted Genetic Algorithm Framework to Discover Peptides Against COVID-19 Virus. CEC 2024: 1-8 - [c182]Haofeng Wu, Qingda Chen, Cuie Yang, Jinliang Ding, Yaochu Jin:
A Surrogate-Assisted Coevolutionary Algorithm for Expensive Constrained Multiobjective Optimization. CEC 2024: 1-8 - [c181]Yan Xiao, Yaochu Jin, Kuangrong Hao:
Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast. LREC/COLING 2024: 7163-7173 - [c180]Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin:
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective. ECCV (28) 2024: 144-160 - [c179]Christian Internò, Markus Olhofer, Yaochu Jin, Barbara Hammer:
Federated Loss Exploration for Improved Convergence on Non-IID Data. IJCNN 2024: 1-8 - [c178]Ruyu Liu, Zhengzhe Liu, Haoyu Zhang, Guodao Zhang, Jianhua Zhang, Sunbo, Weiguo Sheng, Xiufeng Liu, Yaochu Jin:
ColVO: Colonoscopic Visual Odometry Considering Geometric and Photometric Consistency. ACM Multimedia 2024: 8100-8109 - [c177]Jinghao Zhang, Zhenhua Feng, Yaochu Jin:
Robust Long-Tailed Image Classification via Adversarial Feature Re-Calibration. VISIGRAPP (2): VISAPP 2024: 213-220 - [i80]Yaqing Hou, Mingyang Sun, Abhishek Gupta, Yaochu Jin, Haiyin Piao, Hongwei Ge, Qiang Zhang:
Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality. CoRR abs/2401.00168 (2024) - [i79]Wei Du, Wenxuan Fang, Chen Liang, Yang Tang, Yaochu Jin:
A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions. CoRR abs/2401.01070 (2024) - [i78]Peng Yue, Yaochu Jin, Xuewu Dai, Zhenhua Feng, Dongliang Cui:
Reinforcement Learning for Scalable Train Timetable Rescheduling with Graph Representation. CoRR abs/2401.06952 (2024) - [i77]Wanting Zhang, Wei Du, Guo Yu, Renchu He, Wenli Du, Yaochu Jin:
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling. CoRR abs/2401.10274 (2024) - [i76]Xueming Yan, Yaochu Jin:
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization. CoRR abs/2401.15931 (2024) - [i75]Fei Ming, Wenyin Gong, Ling Wang, Yaochu Jin:
Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection. CoRR abs/2402.12381 (2024) - [i74]Wenxuan Fang, Wei Du, Renchu He, Yang Tang, Yaochu Jin, Gary G. Yen:
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling. CoRR abs/2402.14600 (2024) - [i73]Maojiang Tian, Minyang Chen, Wei Du, Yang Tang, Yaochu Jin, Gary G. Yen:
A Composite Decomposition Method for Large-Scale Global Optimization. CoRR abs/2403.01192 (2024) - [i72]Maojiang Tian, Mingke Chen, Wei Du, Yang Tang, Yaochu Jin:
An Enhanced Differential Grouping Method for Large-Scale Overlapping Problems. CoRR abs/2404.10515 (2024) - [i71]Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer:
Automated Federated Learning via Informed Pruning. CoRR abs/2405.10271 (2024) - [i70]Zihan Ye, Shreyank N. Gowda, Xiaobo Jin, Xiaowei Huang, Haotian Xu, Yaochu Jin, Kaizhu Huang:
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models. CoRR abs/2406.02929 (2024) - [i69]Xueming Yan, Ziqi Wang, Yaochu Jin:
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks. CoRR abs/2406.08524 (2024) - [i68]Yingchao Yu, Yuping Yan, Jisong Cai, Yaochu Jin:
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks. CoRR abs/2406.09680 (2024) - [i67]Yuping Yan, Yizhi Wang, Yingchao Yu, Yaochu Jin:
Privacy-preserving Quantification of Non-IID Degree in Federated Learning. CoRR abs/2406.09682 (2024) - [i66]Yaochu Jin, Xueming Yan, Shiqing Liu, Xiangyu Wang:
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks. CoRR abs/2406.13125 (2024) - [i65]Jie Zhao, Kang Hao Cheong, Yaochu Jin:
Multi-Domain Evolutionary Optimization of Network Structures. CoRR abs/2406.14865 (2024) - [i64]Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin:
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective. CoRR abs/2407.12443 (2024) - [i63]Peng Liao, XiLu Wang, Yaochu Jin, Wenli Du:
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets. CoRR abs/2407.13122 (2024) - [i62]Yongxin Deng, Xiaoyu Tan, Xihe Qiu, Yaochu Jin:
FedSlate:A Federated Deep Reinforcement Learning Recommender System. CoRR abs/2409.14872 (2024) - [i61]Xiang Hu, Hongyu Fu, Jinge Wang, Yifeng Wang, Zhikun Li, Renjun Xu, Yu Lu, Yaochu Jin, Lili Pan, Zhenzhong Lan:
Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas. CoRR abs/2410.14255 (2024) - 2023
- [b4]Yaochu Jin, Hangyu Zhu, Jinjin Xu, Yang Chen:
Federated Learning - Fundamentals and Advances. Springer 2023, ISBN 978-981-19-7082-5, pp. 1-215 - [b3]Yaochu Jin:
Computational Evolution of Neural and Morphological Development - Towards Evolutionary Developmental Artificial Intelligence. Natural Computing Series, Springer 2023, ISBN 978-981-99-1853-9, pp. 1-273 - [j320]Rongsheng Wang, Qi Zhang, Xuewu Dai, Zhiming Yuan, Tao Zhang, Shuxin Ding, Yaochu Jin:
An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage. Appl. Soft Comput. 145: 110590 (2023) - [j319]Xingyi Zhang, Ran Cheng, Liang Feng, Yaochu Jin:
Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial]. IEEE Comput. Intell. Mag. 18(2): 16-17 (2023) - [j318]Shuai Wang, Beichen Ding, Yaochu Jin:
A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem. IEEE Comput. Intell. Mag. 18(3): 41-53 (2023) - [j317]Qiqi Liu, Felix Lanfermann, Tobias Rodemann, Markus Olhofer, Yaochu Jin:
Surrogate-Assisted Many-Objective Optimization of Building Energy Management. IEEE Comput. Intell. Mag. 18(4): 14-28 (2023) - [j316]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Recent Advances in Bayesian Optimization. ACM Comput. Surv. 55(13s): 287:1-287:36 (2023) - [j315]Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai:
A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization. Evol. Comput. 31(4): 433-458 (2023) - [j314]Ye Tian, Weijian Zhu, Xingyi Zhang, Yaochu Jin:
A practical tutorial on solving optimization problems via PlatEMO. Neurocomputing 518: 190-205 (2023) - [j313]Xi Zhang, Guo Yu, Yaochu Jin, Feng Qian:
An adaptive Gaussian process based manifold transfer learning to expensive dynamic multi-objective optimization. Neurocomputing 538: 126212 (2023) - [j312]Shuangming Yang, Yanwei Pang, Haowen Wang, Tao Lei, Jing Pan, Jian Wang, Yaochu Jin:
Spike-driven multi-scale learning with hybrid mechanisms of spiking dendrites. Neurocomputing 542: 126240 (2023) - [j311]Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin:
FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis. Neurocomputing 546: 126282 (2023) - [j310]Jia Liu, Ran Cheng, Yaochu Jin:
Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures. Neurocomputing 550: 126465 (2023) - [j309]Xi Zhang, Yaochu Jin, Feng Qian:
A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation. Neurocomputing 559: 126761 (2023) - [j308]Zhen Yang, Jie Zhang, Yunliang Jiang, Yaochu Jin:
A Self-Organizing IoT Service Perception Algorithm Based on Human Visual Direction-Sensitive System. IEEE Internet Things J. 10(7): 6193-6204 (2023) - [j307]Xi Zhang, Guo Yu, Yaochu Jin, Feng Qian:
Elitism-based transfer learning and diversity maintenance for dynamic multi-objective optimization. Inf. Sci. 636: 118927 (2023) - [j306]Yajie Zhang, Ye Tian, Hao Jiang, Xingyi Zhang, Yaochu Jin:
Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization. Inf. Sci. 648: 119547 (2023) - [j305]Hongliang Guo, Wenda Sheng, Chen Gao, Yaochu Jin:
DRL Router: Distributional Reinforcement Learning-Based Router for Reliable Shortest Path Problems. IEEE Intell. Transp. Syst. Mag. 15(5): 91-108 (2023) - [j304]Nian Zhang, Zhigang Zeng, Yaochu Jin:
Guest editorial: Robust, explainable, and privacy-preserving deep learning. Knowl. Based Syst. 263: 110287 (2023) - [j303]Leming Wu, Yaochu Jin, Kuangrong Hao:
Optimized compressed sensing for communication efficient federated learning. Knowl. Based Syst. 278: 110805 (2023) - [j302]Xueming Yan, Zhihang Fang, Yaochu Jin:
An adaptive n-gram transformer for multi-scale scene text recognition. Knowl. Based Syst. 280: 110964 (2023) - [j301]Meng Wu, Xiaomin Zhu, Li Ma, Weidong Bao, Zhun Fan, Yaochu Jin:
Multi-robot target entrapment using cooperative hierarchical gene regulatory network. Swarm Evol. Comput. 80: 101310 (2023) - [j300]Zhun Fan, Zhaojun Wang, Wenji Li, Xiaomin Zhu, Bingliang Hu, An-Min Zou, Weidong Bao, Minqiang Gu, Zhifeng Hao, Yaochu Jin:
Automated pattern generation for swarm robots using constrained multi-objective genetic programming. Swarm Evol. Comput. 81: 101337 (2023) - [j299]