Yaochu Jin

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 411

Top Venues

CoRR

IEEE Trans. Evol. Comput.

IEEE Comput. Intell. Mag.

IEEE Trans. Cybern.

Ruhr University Bochum, Germany (PHD)

Education History

Ruhr University Bochum, Germany

PHD

Publications

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) (2024)
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) (2024)
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 (2024)
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 (2024)
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) (2024)
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) (2024)
Peng Yue, Yaochu Jin, Xuewu Dai, Zhen-Hua Feng, Dongliang Cui
Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling. IEEE Trans. Intell. Transp. Syst. 25 (1) (2024)
Wei Du, Wenxuan Fang, Chen Liang, Yang Tang, Yaochu Jin
A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions. CoRR (2024)
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 (2024)
Qiqi Liu, Yuping Yan, Yaochu Jin
Privacy-preserving federated Bayesian optimization with learnable noise. Inf. Sci. 653 (2024)
Peng Yue, Yaochu Jin, Xuewu Dai, Zhenhua Feng, Dongliang Cui
Reinforcement Learning for Scalable Train Timetable Rescheduling with Graph Representation. CoRR (2024)
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) (2024)
Fei Ming, Wenyin Gong, Yaochu Jin
Even Search in a Promising Region for Constrained Multi-Objective Optimization. IEEE CAA J. Autom. Sinica 11 (2) (2024)
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) (2024)
Xueming Yan, Yaochu Jin
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization. CoRR (2024)
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) (2024)
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) (2024)
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) (2024)
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) (2024)
Yaochu Jin
CIS-ing in an Uncertain World [President's Message]. IEEE Comput. Intell. Mag. 19 (1) (2024)
Peng Liao, Yaochu Jin, Wenli Du
EMT-NAS: Transferring architectural knowledge between tasks from different datasets. CVPR (2023)
Leming Wu, Yaochu Jin, Kuangrong Hao
Optimized compressed sensing for communication efficient federated learning. Knowl. Based Syst. 278 (2023)
Lingrui Zhang, Shuheng Zhang, Guoyang Xie, Jiaqi Liu, Hua Yan, Jinbao Wang, Feng Zheng, Yaochu Jin
What Makes a Good Data Augmentation for Few-Shot Unsupervised Image Anomaly Detection? CVPR Workshops (2023)
Dinghua Xue, Tao Lei, Shuangming Yang, Zhiyong Lv, Tongfei Liu, Yaochu Jin, Asoke K. Nandi
Triple Change Detection Network via Joint Multifrequency and Full-Scale Swin-Transformer for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Zhenshou Song, Handing Wang, Yaochu Jin
A Surrogate-Assisted Evolutionary Framework With Regions of Interests-Based Data Selection for Expensive Constrained Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53 (10) (2023)
Tuo Zhang, Handing Wang, Bo Yuan, Yaochu Jin, Xin Yao
Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems. IEEE Trans. Evol. Comput. 27 (5) (2023)
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) (2023)
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) (2023)
Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
Adversarial Training of Deep Neural Networks Guided by Texture and Structural Information. ACM Multimedia (2023)
Qiqi Liu, Yaochu Jin, Martin Heiderich, Tobias Rodemann
Coordinated Adaptation of Reference Vectors and Scalarizing Functions in Evolutionary Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53 (2) (2023)
Felix Lanfermann, Qiqi Liu, Yaochu Jin, Sebastian Schmitt
Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions. CoRR (2023)
Shiqing Liu, Xilu Wang, Yaochu Jin
Federated Bayesian Optimization for Privacy-Preserving Neural Architecture Search. CEC (2023)
Beichen Huang, Ran Cheng, Yaochu Jin, Kay Chen Tan
EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation. CoRR (2023)
Guo Yu, Yaochu Jin, Markus Olhofer, Qiqi Liu, Wenli Du
Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis. IEEE Trans. Cybern. 53 (4) (2023)
Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment. CoRR (2023)
Shangshang Yang, Haoyu Wei, Haiping Ma, Ye Tian, Xingyi Zhang, Yunbo Cao, Yaochu Jin
Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 7 (3) (2023)
Xueming Yan, Zhihang Fang, Yaochu Jin
Augmented Transformers with Adaptive n-grams Embedding for Multilingual Scene Text Recognition. CoRR (2023)
Mai Peng, Zeneng She, Delaram Yazdani, Danial Yazdani, Wenjian Luo, Changhe Li, Jürgen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao
Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments. CoRR (2023)
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 (2023)
Haoran Gu, Handing Wang, Yaochu Jin
Surrogate-Assisted Differential Evolution With Adaptive Multisubspace Search for Large-Scale Expensive Optimization. IEEE Trans. Evol. Comput. 27 (6) (2023)
Shiqing Liu, Xueming Yan, Yaochu Jin
End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location. EMO (2023)
Yan Xiao, Yaochu Jin, Kuangrong Hao
Adaptive Prototypical Networks With Label Words and Joint Representation Learning for Few-Shot Relation Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (3) (2023)
Xiangyu Wang, Xueming Yan, Yaochu Jin
A Graph Neural Network with Negative Message Passing for Graph Coloring. CoRR (2023)
Shuheng Zhang, Lingrui Zhang, Guoyang Xie, Jiaqi Liu, Hua Yan, Jinbao Wang, Feng Zheng, Yaochu Jin
What makes a good data augmentation for few-shot unsupervised image anomaly detection? CoRR (2023)
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) (2023)
Haoran Gu, Handing Wang, Yaochu Jin
Effects of Pareto Set on the Performance of Problem Reformulation-Based Large-Scale Multiobjective Optimization Algorithms. CEC (2023)
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) (2023)
Hui Bai, Ran Cheng, Danial Yazdani, Kay Chen Tan, Yaochu Jin
Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping. IEEE Trans. Cybern. 53 (11) (2023)
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 (2023)
Yuping Yan, George Shao, Dennis Song, Mason Song, Yaochu Jin
HE-DKSAP: Privacy-Preserving Stealth Address Protocol via Additively Homomorphic Encryption. CoRR (2023)
Hui Bai, Ran Cheng, Yaochu Jin
Evolutionary Reinforcement Learning: A Survey. CoRR (2023)
Guoyang Xie, Jinbao Wang, Jiaqi Liu, Yaochu Jin, Feng Zheng
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore. ICLR (2023)
Tao Lei, Yetong Xu, Hailong Ning, Zhiyong Lv, Chongdan Min, Yaochu Jin, Asoke K. Nandi
Lightweight Structure-aware Transformer Network for VHR Remote Sensing Image Change Detection. CoRR (2023)
Nian Zhang, Zhigang Zeng, Yaochu Jin
Guest editorial: Robust, explainable, and privacy-preserving deep learning. Knowl. Based Syst. 263 (2023)
Yan Zhou, Yaochu Jin, Yao Sun, Jinliang Ding
Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines. IEEE Trans. Emerg. Top. Comput. Intell. 7 (5) (2023)
Peng Yue, Shiqing Liu, Yaochu Jin
Graph Q-learning Assisted Ant Colony Optimization for Vehicle Routing Problems with Time Windows. GECCO Companion (2023)
Lianbo Ma, Yang Liu, Guo Yu, Xinzhe Wang, Hongwei Mo, Gai-Ge Wang, Yaochu Jin, Ying Tan
Decomposition-Based Multiobjective Optimization for Variable-Length Mixed-Variable Pareto Optimization and Its Application in Cloud Service Allocation. IEEE Trans. Syst. Man Cybern. Syst. 53 (11) (2023)
Guoyang Xie, Jingbao Wang, Jiaqi Liu, Feng Zheng, Yaochu Jin
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore. CoRR (2023)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Recent Advances in Bayesian Optimization. ACM Comput. Surv. 55 (13s) (2023)
Yuanchao Liu, Jianchang Liu, Yaochu Jin, Fei Li, Tianzi Zheng
A Surrogate-Assisted Two-Stage Differential Evolution for Expensive Constrained Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 7 (3) (2023)
Lucas Z. Bissaro, Odelmo O. Nascimento Junior, João-Batista Destro-Filho, Yaochu Jin, Murillo G. Carneiro
Towards the Prognosis of Patients in Coma using Echo State Networks for EEG Analysis. INNS DLIA@IJCNN (2023)
Xi Zhang, Guo Yu, Yaochu Jin, Feng Qian
Elitism-based transfer learning and diversity maintenance for dynamic multi-objective optimization. Inf. Sci. 636 (2023)
Ye Tian, Weijian Zhu, Xingyi Zhang, Yaochu Jin
A practical tutorial on solving optimization problems via PlatEMO. Neurocomputing 518 (2023)
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) (2023)
Ye Tian, Xiaopeng Li, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 7 (4) (2023)
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. CoRR (2023)
Jia Liu, Ran Cheng, Yaochu Jin
Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures. Neurocomputing 550 (2023)
Tao Lei, Xinzhe Geng, Hailong Ning, Zhiyong Lv, Maoguo Gong, Yaochu Jin, Asoke K. Nandi
Ultralightweight Spatial-Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Zhening Liu, Handing Wang, Yaochu Jin
Performance Indicator-Based Adaptive Model Selection for Offline Data-Driven Multiobjective Evolutionary Optimization. IEEE Trans. Cybern. 53 (10) (2023)
Shuai Wang, Yaochu Jin, Ming Cai
Enhancing the Robustness of Networks Against Multiple Damage Models Using a Multifactorial Evolutionary Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 53 (7) (2023)
Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang
PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels. IEEE Trans. Artif. Intell. 4 (5) (2023)
Minyang Chen, Wei Du, Yang Tang, Yaochu Jin, Gary G. Yen
A Decomposition Method for Both Additively and Nonadditively Separable Problems. IEEE Trans. Evol. Comput. 27 (6) (2023)
Xi Zhang, Guo Yu, Yaochu Jin, Feng Qian
An adaptive Gaussian process based manifold transfer learning to expensive dynamic multi-objective optimization. Neurocomputing 538 (2023)
Wenjian Luo, Yaochu Jin, Catherine Huang
Guest Editorial: Special Issue on Security and Privacy in Machine Learning. IEEE Trans. Artif. Intell. 4 (5) (2023)
Xingyi Zhang, Ran Cheng, Liang Feng, Yaochu Jin
Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial]. IEEE Comput. Intell. Mag. 18 (2) (2023)
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 (2023)
Xiangyu Wang, Yaochu Jin
An Ant Colony Algorithm Assisted by Graph Neural Networks for Solving Vehicle Routing Problems. GECCO Companion (2023)
Yapei Wu, Xingguang Peng, Handing Wang, Yaochu Jin, Demin Xu
Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments. IEEE Trans. Evol. Comput. 27 (3) (2023)
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 (2023)
Jiaqi Liu, Guoyang Xie, Jingbao Wang, Shangnian Li, Chengjie Wang, Feng Zheng, Yaochu Jin
Deep Industrial Image Anomaly Detection: A Survey. CoRR (2023)
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 (2023)
Ye Tian, Langchun Si, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
Local Model-Based Pareto Front Estimation for Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53 (1) (2023)
Shangshang Yang, Haiping Ma, Cheng Zhen, Ye Tian, Limiao Zhang, Yaochu Jin, Xingyi Zhang
Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search. CoRR (2023)
Shiqing Liu, Xueming Yan, Yaochu Jin
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Travelling Salesman Problems. CoRR (2023)
Xueming Yan, Zhihang Fang, Yaochu Jin
An adaptive n-gram transformer for multi-scale scene text recognition. Knowl. Based Syst. 280 (2023)
Shufen Qin, Chaoli Sun, Qiqi Liu, Yaochu Jin
A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization. IEEE Trans. Evol. Comput. 27 (4) (2023)
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 (2023)
Xi Zhang, Yaochu Jin, Feng Qian
A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation. Neurocomputing 559 (2023)
Ye Tian, Jingwen Pan, Shangshang Yang, Xingyi Zhang, Shuping He, Yaochu Jin
Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm. IEEE Trans. Artif. Intell. 4 (2) (2023)
Qiang Liu, Jialu Fan, Jin-Xi Zhang, Yaochu Jin
Guest Editorial: Advanced Intelligent Manufacturing System: Theory, Algorithms, and Industrial Applications. IEEE Trans. Ind. Informatics 19 (6) (2023)
Xingyi Zhang, Ran Cheng, Yaochu Jin, Bernhard Sendhoff
Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications. IEEE Trans. Evol. Comput. 27 (3) (2023)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Recent Advances in Bayesian Optimization. CoRR (2022)
Ye Tian, Yajie Zhang, Yansen Su, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 52 (9) (2022)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times. Evol. Comput. 30 (2) (2022)
Ran Cheng, Jinliang Ding, Wenli Du, Yaochu Jin
Thematic issue on knowledge and data driven evolutionary multi-objective optimization. Memetic Comput. 14 (2) (2022)
Wei Du, Wenjiang Song, Yang Tang, Yaochu Jin, Feng Qian
Searching for Robustness Intervals in Evolutionary Robust Optimization. IEEE Trans. Evol. Comput. 26 (1) (2022)
Shiqing Liu, Haoyu Zhang, Yaochu Jin
A Survey on Surrogate-assisted Efficient Neural Architecture Search. CoRR (2022)
Tonghao Wang, Xingguang Peng, Yaochu Jin, Demin Xu
Experience Sharing Based Memetic Transfer Learning for Multiagent Reinforcement Learning. Memetic Comput. 14 (1) (2022)
Jianchang Liu, Yuanchao Liu, Yaochu Jin, Fei Li
A Decision Variable Assortment-Based Evolutionary Algorithm for Dominance Robust Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52 (5) (2022)
Ye Tian, Haowen Chen, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization. IEEE CAA J. Autom. Sinica 9 (10) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yaochu Jin