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Yaochu Jin
Person information
- affiliation: Westlake University, Hangzhou, China
- affiliation (former): Bielefeld University, Germany
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2020 – today
- 2025
- [j386]Yaochu Jin
:
30 Years of IEEE WCCI [President's Message]. IEEE Comput. Intell. Mag. 20(1): 4-5 (2025) - [j385]Yuxin Ma
, Zherui Zhang, Ran Cheng
, Yaochu Jin
, Kay Chen Tan
:
ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-Objective Evolutionary Algorithms [Application Notes]. IEEE Comput. Intell. Mag. 20(1): 78-94 (2025) - [j384]Xueming Yan, Chuyue Wang
, Yaochu Jin
:
Federated training of GNNs with similarity graph reasoning for text-image retrieval. Neurocomputing 623: 129411 (2025) - [j383]Huiting Li
, Yaochu Jin
, Ran Cheng:
Multi-phase constrained multi-objective optimization via heterogeneous transfer. Inf. Sci. 700: 121836 (2025) - [j382]Qihang Peng, Hongliang Guo, Zhengyan Zhang, Chih-Yung Wen, Yaochu Jin:
PF-MAAC: A learning-based method for probabilistic optimization in time-constrained non-adversarial moving target search. Swarm Evol. Comput. 92: 101785 (2025) - [j381]Zhen Yang, Yiping Zhu, Yunliang Jiang, Yaochu Jin, Feng Ju, Yang Feng:
An adaptive multitask optimization algorithm based on competitive scoring. Swarm Evol. Comput. 92: 101798 (2025) - [j380]Junfeng Tang, Handing Wang, Yaochu Jin:
Knee-oriented expensive many-objective optimization via aggregation-dominance: A multi-task perspective. Swarm Evol. Comput. 92: 101813 (2025) - [j379]Zhihao Yu, Haoyu Zhang
, Ruyu Liu, Sheng Dai, Xinan Chen, Weiguo Sheng, Yaochu Jin:
Mde-EvoNAS: Automatic network architecture design for monocular depth estimation via evolutionary neural architecture search. Swarm Evol. Comput. 93: 101837 (2025) - [j378]Wenxuan Fang
, Wei Du
, Guo Yu
, Renchu He
, Yang Tang
, Yaochu Jin
:
Preference Prediction-Based Evolutionary Multiobjective Optimization for Gasoline Blending Scheduling. IEEE Trans. Artif. Intell. 6(1): 79-92 (2025) - [j377]Yifei Sun, Zhuo Liu, Yaochu Jin, Xin Sun, Yifei Cao, Jie Yang:
Global and Cluster Structural Balance via a Priority Strategy Based Memetic Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 874-888 (2025) - 2024
- [j376]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) - [j375]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) - [j374]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) - [j373]Yaochu Jin
:
CIS-ing in an Uncertain World [President's Message]. IEEE Comput. Intell. Mag. 19(1): 4-5 (2024) - [j372]Yaochu Jin
:
Don't Play Games, Optimize [President's Message]. IEEE Comput. Intell. Mag. 19(2): 3-4 (2024) - [j371]Yaochu Jin
:
Newly Elected CIS Administrative Committee Members [Society Briefs]. IEEE Comput. Intell. Mag. 19(2): 5-7 (2024) - [j370]Yaochu Jin
:
Time Flies [President's Message]. IEEE Comput. Intell. Mag. 19(3): 3-4 (2024) - [j369]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) - [j368]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) - [j367]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) - [j366]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) - [j365]Zhaoxin Wang
, Handing Wang
, Cong Tian, Yaochu Jin
:
Efficient adversarial training with multi-fidelity optimization for robust neural network. Neurocomputing 585: 127627 (2024) - [j364]Zhifeng Hao, Yaochu Jin
, Xueming Yan
, Chuyue Wang
, Shangshang Yang, Hong Ge:
Cross-modal hashing retrieval with compatible triplet representation. Neurocomputing 602: 128293 (2024) - [j363]Qiqi Liu
, Yuping Yan
, Yaochu Jin
:
Privacy-preserving federated Bayesian optimization with learnable noise. Inf. Sci. 653: 119739 (2024) - [j362]Xueming Yan, Guo Zhong
, Yaochu Jin
, Xiaohua Ke
, Fenfang Xie, Guoheng Huang
:
Binary spectral clustering for multi-view data. Inf. Sci. 677: 120899 (2024) - [j361]Qiqi Liu, Leming Wu, Yaochu Jin
:
Federated Bayesian optimization via compressed sensing. Inf. Sci. 681: 121148 (2024) - [j360]Leming Wu, Yaochu Jin
, Yuping Yan
, Kuangrong Hao
:
FL-OTCSEnc: Towards secure federated learning with deep compressed sensing. Knowl. Based Syst. 291: 111534 (2024) - [j359]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) - [j358]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) - [j357]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) - [j356]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) - [j355]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) - [j354]Maojiang Tian
, Minyang Chen
, Wei Du
, Yang Tang
, Yaochu Jin
, Gary G. Yen
:
A Composite Decomposition Method for Large-Scale Global Optimization. IEEE Trans. Artif. Intell. 5(12): 6304-6319 (2024) - [j353]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) - [j352]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) - [j351]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) - [j350]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) - [j349]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) - [j348]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) - [j347]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) - [j346]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) - [j345]Hangyu Zhu, Xilu Wang
, Yaochu Jin
:
Federated Many-Task Bayesian Optimization. IEEE Trans. Evol. Comput. 28(4): 980-993 (2024) - [j344]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) - [j343]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) - [j342]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) - [j341]Yaochu Jin
, Xilu Wang
, Hemant K. Singh
, Tinkle Chugh
, Alma Rahat
:
Introduction to the Special Issue on Data-Driven Evolutionary Computation. ACM Trans. Evol. Learn. Optim. 4(4): 19:1-19:2 (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) - [c187]Xiangyu Wang, Xilu Wang, Yaochu Jin, Ulrich Rückert:
A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. CEC 2024: 1-8 - [c186]Xinan Chen, Wenjie Yi, Ruibin Bai
, Rong Qu, Yaochu Jin:
A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic Regression. CEC 2024: 1-8 - [c185]Shiqing Liu, Ulrich Rückert, Yaochu Jin:
FOG: A Unified Framework for Federated Combinatorial Optimization on Graphs. CEC 2024: 1-8 - [c184]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 - [c183]Haofeng Wu, Qingda Chen, Cuie Yang, Jinliang Ding, Yaochu Jin:
A Surrogate-Assisted Coevolutionary Algorithm for Expensive Constrained Multiobjective Optimization. CEC 2024: 1-8 - [c182]Yan Xiao, Yaochu Jin, Kuangrong Hao:
Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast. LREC/COLING 2024: 7163-7173 - [c181]Peng Liao
, Xilu Wang
, Yaochu Jin
, Wenli Du
:
MO-EMT-NAS: Multi-objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets. ECCV (70) 2024: 18-35 - [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 - [i83]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) - [i82]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) - [i81]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) - [i80]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) - [i79]Xueming Yan, Yaochu Jin:
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization. CoRR abs/2401.15931 (2024) - [i78]Fei Ming, Wenyin Gong, Ling Wang, Yaochu Jin:
Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection. CoRR abs/2402.12381 (2024) - [i77]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) - [i76]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) - [i75]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) - [i74]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) - [i73]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) - [i72]Xueming Yan, Ziqi Wang, Yaochu Jin:
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks. CoRR abs/2406.08524 (2024) - [i71]Yingchao Yu, Yuping Yan, Jisong Cai, Yaochu Jin:
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks. CoRR abs/2406.09680 (2024) - [i70]Yuping Yan, Yizhi Wang, Yingchao Yu, Yaochu Jin:
Privacy-preserving Quantification of Non-IID Degree in Federated Learning. CoRR abs/2406.09682 (2024) - [i69]Yaochu Jin, Xueming Yan, Shiqing Liu, Xiangyu Wang:
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks. CoRR abs/2406.13125 (2024) - [i68]Jie Zhao, Kang Hao Cheong, Yaochu Jin:
Multi-Domain Evolutionary Optimization of Network Structures. CoRR abs/2406.14865 (2024) - [i67]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) - [i66]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) - [i65]Yongxin Deng, Xiaoyu Tan, Xihe Qiu, Yaochu Jin:
FedSlate:A Federated Deep Reinforcement Learning Recommender System. CoRR abs/2409.14872 (2024) - [i64]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) - [i63]Guodong Chen, Jiu Jimmy Jiao, Qiqi Liu, Zhongzheng Wang, Yaochu Jin:
Machine Learning-Accelerated Multi-Objective Design of Fractured Geothermal Systems. CoRR abs/2411.00504 (2024) - [i62]Chanjuan Liu, Jinmiao Cong, Bingcai Chen, Yaochu Jin, Enqiang Zhu:
Guiding Multi-agent Multi-task Reinforcement Learning by a Hierarchical Framework with Logical Reward Shaping. CoRR abs/2411.01184 (2024) - [i61]Zihan Ye, Xinyuan Ru, Shiming Chen, Yaochu Jin, Kaizhu Huang, Xiaobo Jin:
Improved Feature Generating Framework for Transductive Zero-shot Learning. CoRR abs/2412.18282 (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]