Yaochu Jin

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 461

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

Jinghao Zhang, Zhenhua Feng, Yaochu Jin
Robust Long-Tailed Image Classification via Adversarial Feature Re-Calibration. VISIGRAPP (2): VISAPP (2024)
Zhifeng Hao, Yaochu Jin, Xueming Yan, Chuyue Wang, Shangshang Yang, Hong Ge
Cross-modal hashing retrieval with compatible triplet representation. Neurocomputing 602 (2024)
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) (2024)
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 (2024)
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) (2024)
Yaochu Jin
Don't Play Games, Optimize [President's Message]. IEEE Comput. Intell. Mag. 19 (2) (2024)
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)
Yaochu Jin
Time Flies [President's Message]. IEEE Comput. Intell. Mag. 19 (3) (2024)
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) (2024)
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) (2024)
Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
Efficient adversarial training with multi-fidelity optimization for robust neural network. Neurocomputing 585 (2024)
Maojiang Tian, Minyang Chen, Wei Du, Yang Tang, Yaochu Jin, Gary G. Yen
A Composite Decomposition Method for Large-Scale Global Optimization. CoRR (2024)
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 (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)
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) (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)
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) (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)
Yingchao Yu, Yuping Yan, Jisong Cai, Yaochu Jin
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks. CoRR (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)
Xueming Yan, Ziqi Wang, Yaochu Jin
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks. CoRR (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)
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) (2024)
Fei Ming, Wenyin Gong, Ling Wang, Yaochu Jin
Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection. CoRR (2024)
Wei Du, Wenxuan Fang, Chen Liang, Yang Tang, Yaochu Jin
A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions. CoRR (2024)
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 (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)
Haofeng Wu, Qingda Chen, Cuie Yang, Jinliang Ding, Yaochu Jin
A Surrogate-Assisted Coevolutionary Algorithm for Expensive Constrained Multiobjective Optimization. CEC (2024)
Leming Wu, Yaochu Jin, Yuping Yan, Kuangrong Hao
FL-OTCSEnc: Towards secure federated learning with deep compressed sensing. Knowl. Based Syst. 291 (2024)
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) (2024)
Xiangyu Wang, Xilu Wang, Yaochu Jin, Ulrich Rückert
A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. CEC (2024)
Jie Zhao, Kang Hao Cheong, Yaochu Jin
Multi-Domain Evolutionary Optimization of Network Structures. CoRR (2024)
Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer
Automated Federated Learning via Informed Pruning. CoRR (2024)
Qiqi Liu, Yuping Yan, Yaochu Jin
Privacy-preserving federated Bayesian optimization with learnable noise. Inf. Sci. 653 (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. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (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)
Shiqing Liu, Ulrich Rückert, Yaochu Jin
FOG: A Unified Framework for Federated Combinatorial Optimization on Graphs. CEC (2024)
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) (2024)
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)
Peng Liao, XiLu Wang, Yaochu Jin, Wenli Du
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets. CoRR (2024)
Peng Yue, Yaochu Jin, Xuewu Dai, Zhen-Hua Feng, Dongliang Cui
Reinforcement Learning for Scalable Train Timetable Rescheduling With Graph Representation. IEEE Trans. Intell. Transp. Syst. 25 (7) (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)
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 (2024)
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) (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)
Yan Xiao, Yaochu Jin, Kuangrong Hao
Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast. LREC/COLING (2024)
Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective. CoRR (2024)
Xinan Chen, Wenjie Yi, Ruibin Bai, Rong Qu, Yaochu Jin
A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic Regression. CEC (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)
Yuping Yan, Yizhi Wang, Yingchao Yu, Yaochu Jin
Privacy-preserving Quantification of Non-IID Degree in Federated Learning. CoRR (2024)
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) (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)
Hangyu Zhu, Xilu Wang, Yaochu Jin
Federated Many-Task Bayesian Optimization. IEEE Trans. Evol. Comput. 28 (4) (2024)
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 (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)
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 (2024)
Xueming Yan, Guo Zhong, Yaochu Jin, Xiaohua Ke, Fenfang Xie, Guoheng Huang
Binary spectral clustering for multi-view data. Inf. Sci. 677 (2024)
Maojiang Tian, Mingke Chen, Wei Du, Yang Tang, Yaochu Jin
An Enhanced Differential Grouping Method for Large-Scale Overlapping Problems. CoRR (2024)
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) (2024)
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) (2024)
Qiqi Liu, Leming Wu, Yaochu Jin
Federated Bayesian optimization via compressed sensing. Inf. Sci. 681 (2024)
Shiqing Liu, Xueming Yan, Yaochu Jin
An edge-aware graph autoencoder trained on scale-imbalanced data for traveling salesman problems. Knowl. Based Syst. 291 (2024)
Wenxuan Fang, Wei Du, Renchu He, Yang Tang, Yaochu Jin, Gary G. Yen
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling. CoRR (2024)
Yaochu Jin, Xueming Yan, Shiqing Liu, Xiangyu Wang
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks. CoRR (2024)
Yaochu Jin
Newly Elected CIS Administrative Committee Members [Society Briefs]. IEEE Comput. Intell. Mag. 19 (2) (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yaochu Jin