Yaochu Jin

816 papers A* 16A 19B 80C 21Misc 2Journal 582Unranked 68
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Large-Scale Expensive Optimization Algorithm With a Multiview Synthetic Sampling.
IEEE Trans. Evol. Comput.
Kaili Zhao, Xilu Wang, Chaoli Sun, Yaochu Jin
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
A two-stage multimodal multiobjective evolutionary algorithm using Voronoi diagram and modality detection.
Swarm Evol. Comput.
Tianzi Zheng, Jianchang Liu, Yaochu Jin, Yuanchao Liu, Wanting Yang
2026 J jnl
Adversarial Attacks on Evolutionary Algorithms Solving Data-Driven Optimization Problems [Research Frontier].
IEEE Comput. Intell. Mag.
Limiao Zhang, Jiacheng Liu, Ran Wang, Ye Tian, Yaochu Jin, Xingyi Zhang
2026 J jnl
Algorithm 1060: EDOLAB, a Platform for Research and Education in Evolutionary Dynamic Optimization.
ACM Trans. Math. Softw.
Mai Peng, Delaram Yazdani, Danial Yazdani, Zeneng She, Wenjian Luo, Changhe Li, Juergen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Shengxiang Yang, Yaochu Jin, Xin Yao
2026 J jnl
An Indicator-Based Evolutionary Algorithm for Large-Scale Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Xiaoyu Zhong, Xiangjuan Yao, Kangjia Qiao, Dunwei Gong, Yaochu Jin
2026 J jnl
Biomechanical Comparisons Reveal Divergence of Human and Humanoid Gaits.
CoRR
Luying Feng, Yaochu Jin, Hanze Hu, Wei Chen
2026 J jnl
Causal Federated Graph Neural Networks for Multiobjective Facility Location.
IEEE Trans. Syst. Man Cybern. Syst.
Xueming Yan, Yaochu Jin, Chuyue Wang, Shangshang Yang
2026 J jnl
Data Stream Driven Dynamic Multiobjective Optimization Using Surrogate Transfer.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhening Liu, Handing Wang, Maoguo Gong, Yaochu Jin
2026 J jnl
Dual-Domain Representation Alignment: Bridging 2D and 3D Vision via Geometry-Aware Architecture Search.
CoRR
Haoyu Zhang, Zhihao Yu, Rui Wang, Yaochu Jin, Qiqi Liu, Ran Cheng
2026 J jnl
Expensive Many-Objective Evolutionary Optimization With a Self-Adaptive Surrogate Model.
IEEE Trans. Emerg. Top. Comput. Intell.
Xiaotong Liu, Chaoli Sun, Yaochu Jin, Asad Hayat
2026 J jnl
Expensive Multiobjective Optimization Guided by Attention-Enhanced Generative Models.
IEEE Trans. Neural Networks Learn. Syst.
Guodong Chen, Zhongzheng Wang, Qiqi Liu, Jiu Jimmy Jiao, Yaochu Jin
2026 J jnl
FBCCNet: a Bayesian perspective of federated learning with crowdsourced annotations on client side.
Complex Intell. Syst.
Hangyu Zhu, Xilu Wang, Yaochu Jin
2026 J jnl
Fairness-oriented vertical federated GNNs with incomplete sensitive attributes.
Inf. Fusion
Ziqi Wang, Xueming Yan, Yaochu Jin
2026 J jnl
Guiding Multiagent Multitask Reinforcement Learning by a Hierarchical Framework With Logical Reward Shaping.
IEEE Trans. Cybern.
Chanjuan Liu, Jinmiao Cong, Bingcai Chen, Yaochu Jin, Enqiang Zhu
2026 A* conf
HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning.
AAAI
Zejiao Liu, Junqi Tu, Yitian Hong, Luolin Xiong, Yaochu Jin, Yang Tang, Fangfei Li
2026 J jnl
Heterogeneity-Aware Federated Graph Neural Networks for Incomplete Multi-View Clustering.
IEEE Trans. Emerg. Top. Comput. Intell.
Xueming Yan, Ziqi Wang, Yaochu Jin
2026 J jnl
IRIS: Implicit Reward-Guided Internal Sifting for Mitigating Multimodal Hallucination.
CoRR
Yuanshuai Li, Yuping Yan, Jirui Han, Fei Ming, LingJuan Lv, Yaochu Jin
2026 J jnl
Multipattern Learning and Collaboration-Based Evolutionary Optimizer for Large-Scale Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Wei Song, Mingshuo Song, Haojie Zhou, Xiaoyan Sun, Yaochu Jin, Songbai Liu, Qiuzhen Lin, Shengxiang Yang
2026 J jnl
Overlooked Safety Vulnerability in LLMs: Malicious Intelligent Optimization Algorithm Request and its Jailbreak.
CoRR
Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, Yaochu Jin
2026 A* conf
ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models Using Pareto High-Quality Data.
AAAI
Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, Yaochu Jin
2026 J jnl
Robust Multiobjective Evolutionary Algorithm Based on Surrogate-Assisted Robust Distance Metric.
IEEE Trans. Cybern.
Fei Li, Yuhao Liu, Hao Shen, Anqi Pan, Wei Du, Yaochu Jin
2026 J jnl
Scaling Behaviors of Evolutionary Algorithms on GPUs: When Does Parallelism Pay Off?
CoRR
Xinmeng Yu, Tao Jiang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2025 J jnl
30 Years of IEEE WCCI [President's Message].
IEEE Comput. Intell. Mag.
Yaochu Jin
2025 J jnl
A Hierarchical and Ensemble Surrogate-Assisted Evolutionary Algorithm With Model Reduction for Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Qi-Te Yang, Jian-Yu Li, Zhi-Hui Zhan, Yunliang Jiang, Yaochu Jin, Jun Zhang
2025 J jnl
A Learning-Based Approach for Train Timetable Rescheduling With Robustness Guarantee.
IEEE Trans. Syst. Man Cybern. Syst.
Peng Yue, Yaochu Jin, Xuewu Dai, Dongliang Cui
2025 J jnl
A Multistage Expensive Constrained Multiobjective Optimization Algorithm Based on Ensemble Infill Criterion.
IEEE Trans. Evol. Comput.
Haofeng Wu, Qingda Chen, Jiaxin Chen, Yaochu Jin, Jinliang Ding, Xingyi Zhang, Tianyou Chai
2025 J jnl
A Multitask-Assisted Evolutionary Algorithm for Constrained Multimodal Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Tianzi Zheng, Jianchang Liu, Yaochu Jin, Yuanchao Liu
2025 J jnl
A Recurrent Spiking Network with Hierarchical Intrinsic Excitability Modulation for Schema Learning.
CoRR
Yingchao Yu, Yaochu Jin, Yuchen Xiao, Yuping Yan
2025 J jnl
A million-scale dataset and generalizable foundation model for nanomaterial-protein interactions.
CoRR
Hengjie Yu, Kenneth A. Dawson, Haiyun Yang, Shuya Liu, Yan Yan, Yaochu Jin
2025 J jnl
A two-mode offspring generation selection mechanism with co-evolution for sparse large-scale multiobjective optimization.
Inf. Sci.
Xiaodong Huang, Jian Wang, Gaige Wang, Yong Zhang, Dunwei Gong, Yaochu Jin, Nikhil R. Pal
2025 B conf
An Elite-Guided Large-Scale Multi-Objective Evolutionary Algorithm Driven by Denoising Diffusion Probabilistic Models.
CEC
Tingting Dang, Wenxuan Fang, Jiaqiang Li, Qiqi Liu, Junhua Gu, Yaochu Jin
2025 J jnl
An Enhanced Differential Grouping Method for Large-Scale Overlapping Problems.
IEEE Trans. Evol. Comput.
Maojiang Tian, Mingke Chen, Wei Du, Yang Tang, Yaochu Jin
2025 J jnl
An Evolutionary Multiobjective Neural Architecture Search Approach to Advancing Cognitive Diagnosis in Intelligent Education.
IEEE Trans. Evol. Comput.
Shangshang Yang, Haiping Ma, Ying Bi, Ye Tian, Limiao Zhang, Yaochu Jin, Xingyi Zhang
2025 J jnl
An adaptive multitask optimization algorithm based on competitive scoring.
Swarm Evol. Comput.
Zhen Yang, Yiping Zhu, Yunliang Jiang, Yaochu Jin, Feng Ju, Yang Feng
2025 J jnl
Automated Configuration of Evolutionary Algorithms via Deep Reinforcement Learning for Constrained Multiobjective Optimization.
IEEE Trans. Cybern.
Fei Ming, Wenyin Gong, Bing Xue, Mengjie Zhang, Yaochu Jin
2025 A* conf
Biologically Plausible Brain Graph Transformer.
ICLR
Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, Yaochu Jin
2025 J jnl
Biologically Plausible Brain Graph Transformer.
CoRR
Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, Yaochu Jin
2025 B conf
Brain-Inspired Modular Reservoir based on Spiking Neurons for Multi-Task Learning.
CEC
Yan Zhou, Yaochu Jin, Jinliang Ding
2025 J jnl
CVDLLM: Automated Cardiovascular Disease Diagnosis With Large-Language-Model-Assisted Graph Attentive Feature Interaction.
IEEE Trans. Artif. Intell.
Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Yaochu Jin
2025 J jnl
Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition.
IEEE Trans. Evol. Comput.
Linqiang Pan, Jianqing Lin, Handing Wang, Cheng He, Kay Chen Tan, Yaochu Jin
2025 J jnl
Conference Report on 2025 IEEE Congress on Evolutionary Computation (IEEE CEC 2025) [Conference Reports].
IEEE Comput. Intell. Mag.
Yaochu Jin, Thomas Bäck
2025 B conf
Convergence of Expensive Multi-Objective Optimizers: From ParEGO to ExTrEMO.
CEC
Haofeng Wu, Tingyang Wei, Jiao Liu, Meng Xu, Yew-Soon Ong, Yaochu Jin
2025 J jnl
Cooperation Is Evolutionarily More Favored Than Competition [President's Message].
IEEE Comput. Intell. Mag.
Yaochu Jin
2025 J jnl
Cooperative Multiagent Learning and Exploration With Min-Max Intrinsic Motivation.
IEEE Trans. Cybern.
Yaqing Hou, Jie Kang, Haiyin Piao, Yifeng Zeng, Yew-Soon Ong, Yaochu Jin, Qiang Zhang
2025 A* conf
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models.
ACM Multimedia
Shunchang Liu, Zhuan Shi, Lingjuan Lyu, Yaochu Jin, Boi Faltings
2025 J jnl
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models.
CoRR
Shunchang Liu, Zhuan Shi, Lingjuan Lyu, Yaochu Jin, Boi Faltings
2025 B conf
Cross-Entropy Firefly Algorithm-Assisted Deep Reinforcement Learning for Flexible Flow Shop Scheduling Problems.
CEC
Peng Zeng, Chang Liu, Zhenghao Yu, Yaochu Jin, Guangxi Wan
2025 J jnl
DD-Ranking: Rethinking the Evaluation of Dataset Distillation.
CoRR
Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang
2025 J jnl
DP-FSAEA: Differential Privacy for Federated Surrogate-Assisted Evolutionary Algorithms.
IEEE Trans. Evol. Comput.
Yuping Yan, Xilu Wang, Péter Ligeti, Yaochu Jin
2025 J jnl
Data Stream driven evolutionary algorithm for cost sensitive robust optimization over time.
Swarm Evol. Comput.
Zhening Liu, Handing Wang, Jinliang Ding, Cuie Yang, Yaochu Jin
2025 J jnl
DeFedTL: A Decentralized Federated Transfer Learning Method for Fault Diagnosis.
IEEE Trans. Ind. Informatics
Danya Xu, Yi Liu, Guanghui Wen, Yaochu Jin, Tianyou Chai, Tao Yang
2025 J jnl
Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks.
IEEE Trans. Evol. Comput.
Xinan Chen, Ruibin Bai, Rong Qu, Jing Dong, Yaochu Jin
2025 J jnl
Distilling Ensemble Surrogates for Federated Data-Driven Many-Task Optimization.
IEEE Trans. Evol. Comput.
Xilu Wang, Yaochu Jin
2025 J jnl
Distributed Optimization With Asynchronous Computation and Event-Triggered Communication.
IEEE Trans. Autom. Control.
Ziwei Dong, Yaochu Jin, Shuai Mao, Wei Ren, Wei Du, Yang Tang
2025 J jnl
Dual-Branch Semantic Enhancement Network Joint With Iterative Self-Matching Training Strategy for Semi-Supervised Semantic Segmentation.
IEEE Trans. Emerg. Top. Comput. Intell.
Feng Xiao, Ruyu Liu, Xu Cheng, Haoyu Zhang, Jianhua Zhang, Yaochu Jin
2025 B conf
Efficient Federated Bayesian Optimization with Symbolic Regression Model.
CEC
Xilu Wang, Kaifeng Yang, Peng Liao, Mengxuan Zhang, Yaochu Jin
2025 J jnl
Efficient Large-Scale Expensive Optimization via Surrogate-Assisted Subproblem Selection.
IEEE Trans. Evol. Comput.
Kaili Zhao, Xilu Wang, Chaoli Sun, Yaochu Jin, Asad Hayat
2025 J jnl
Empowering scientific discovery with explainable small domain-specific and large language models.
Artif. Intell. Rev.
Hengjie Yu, Yizhi Wang, Tao Cheng, Yan Yan, Kenneth A. Dawson, Sam F. Y. Li, Yefeng Zheng, Yaochu Jin
2025 J jnl
Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction.
CoRR
Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
2025 J jnl
EvoX: A Distributed GPU-Accelerated Framework for Scalable Evolutionary Computation.
IEEE Trans. Evol. Comput.
Beichen Huang, Ran Cheng, Zhuozhao Li, Yaochu Jin, Kay Chen Tan
2025 J jnl
Evolutionary Computation for Sparse Multi-Objective Optimization: A Survey.
ACM Comput. Surv.
Shuai Shao, Ye Tian, Yajie Zhang, Shangshang Yang, Panpan Zhang, Cheng He, Xingyi Zhang, Yaochu Jin
2025 J jnl
Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning.
CoRR
Kebin Sun, Tao Jiang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2025 J jnl
Evolutionary Neural Architecture Search for Remote Sensing Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Jing Liang, Genyue Liu, Ying Bi, Mingyuan Yu, Mengnan Liu, Yaochu Jin
2025 A* conf
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning.
AAAI
Yuchen Liu, Chen Chen, Lingjuan Lyu, Yaochu Jin, Gang Chen
2025 J jnl
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning.
CoRR
Yuchen Liu, Chen Chen, Lingjuan Lyu, Yaochu Jin, Gang Chen
2025 J jnl
FedSlate: A Federated Deep Reinforcement Learning Recommender System.
IEEE Trans. Emerg. Top. Comput. Intell.
Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Yaochu Jin
2025 J jnl
Federated Loss Exploration for Improved Convergence on Non-IID Data.
CoRR
Christian Internò, Markus Olhofer, Yaochu Jin, Barbara Hammer
2025 J jnl
Federated training of GNNs with similarity graph reasoning for text-image retrieval.
Neurocomputing
Xueming Yan, Chuyue Wang, Yaochu Jin
2025 J jnl
From Screens to Scenes: A Survey of Embodied AI in Healthcare.
CoRR
Yihao Liu, Xu Cao, Tingting Chen, Yankai Jiang, Junjie You, Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen
2025 J jnl
From screens to scenes: A survey of embodied AI in healthcare.
Inf. Fusion
Yihao Liu, Xu Cao, Wei-Ting Chen, Yankai Jiang, Junjie You, Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen
2025 J jnl
Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems.
CoRR
Xian Chen, Rong Qu, Jing Dong, Ruibin Bai, Yaochu Jin
2025 J jnl
Global and Cluster Structural Balance via a Priority Strategy Based Memetic Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell.
Yifei Sun, Zhuo Liu, Yaochu Jin, Xin Sun, Yifei Cao, Jie Yang
2025 J jnl
Gradient-based federated Bayesian optimization.
Knowl. Based Syst.
Lin Yang, Junhua Gu, Qiqi Liu, Zhigang Zhao, Yunhe Wang, Yaochu Jin
2025 J jnl
HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning.
CoRR
Zejiao Liu, Junqi Tu, Yitian Hong, Luolin Xiong, Yaochu Jin, Yang Tang, Fangfei Li
2025 J jnl
Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language Models.
CoRR
Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
2025 J jnl
Interpretable Zero-shot Learning with Infinite Class Concepts.
CoRR
Zihan Ye, Shreyank N. Gowda, Shiming Chen, Yaochu Jin, Kaizhu Huang, Xiaobo Jin
2025 J jnl
Knee-oriented expensive many-objective optimization via aggregation-dominance: A multi-task perspective.
Swarm Evol. Comput.
Junfeng Tang, Handing Wang, Yaochu Jin
2025 J jnl
Knowledge-assisted evolutionary task scheduling for hierarchical multiagent systems with transferable surrogates.
Swarm Evol. Comput.
Tonghao Wang, Xingguang Peng, Xiaokang Lei, Handing Wang, Yaochu Jin
2025 J jnl
LacaDM: A Latent Causal Diffusion Model for Multiobjective Reinforcement Learning.
CoRR
Xueming Yan, Bo Yin, Yaochu Jin
2025 J jnl
Large Language Models are Not All You Need [President's Message].
IEEE Comput. Intell. Mag.
Yaochu Jin
2025 J jnl
Large-Scale Continuous-Time Crude Oil Scheduling: A Variable-Length Evolutionary Optimization Approach.
IEEE Trans Autom. Sci. Eng.
Wanting Zhang, Wenli Du, Wei Du, Renchu He, Yaochu Jin
2025 J jnl
Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Langchun Si, Xingyi Zhang, Ye Tian, Shangshang Yang, Limiao Zhang, Yaochu Jin
2025 A conf
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients.
ICME
Leming Wu, Yaochu Jin, Kuangrong Hao, Han Yu
2025 J jnl
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients.
CoRR
Leming Wu, Yaochu Jin, Kuangrong Hao, Han Yu
2025 J jnl
Looking Back, Moving Forward [President's Message].
IEEE Comput. Intell. Mag.
Yaochu Jin
2025 J jnl
MFEA-RCIM: A Multifactorial Evolutionary Algorithm for Determining Robust and Influential Seeds From Competitive Networks Under Structural Failures.
IEEE Trans. Cybern.
Shuai Wang, Yaochu Jin
2025 J jnl
Mde-EvoNAS: Automatic network architecture design for monocular depth estimation via evolutionary neural architecture search.
Swarm Evol. Comput.
Zhihao Yu, Haoyu Zhang, Ruyu Liu, Sheng Dai, Xinan Chen, Weiguo Sheng, Yaochu Jin
2025 J jnl
Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs.
CoRR
Yuanshuai Li, Yuping Yan, Junfeng Tang, Yunxuan Li, Zeqi Zheng, Yaochu Jin
2025 J jnl
Multi-phase constrained multi-objective optimization via heterogeneous transfer.
Inf. Sci.
Huiting Li, Yaochu Jin, Ran Cheng
2025 J jnl
Multidomain Evolutionary Optimization on Combinatorial Problems in Complex Networks.
IEEE Trans. Cybern.
Jie Zhao, Kang Hao Cheong, Yaochu Jin
2025 J jnl
Multisource and Hidden Source-Based Knowledge Transfer for Solving Dynamic Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput.
Wei Song, Zhi Liu, Jian Yu, Xiaoyan Sun, Yaochu Jin, Khin Wee Lai
2025 — conf
NOVA: An Iterative Planning Framework for Enhancing Scientific Innovation with Large Language Models.
ACL (Findings)
Xiang Hu, Hongyu Fu, Jinge Wang, Yifeng Wang, Zhikun Li, Renjun Xu, Yu Lu, Yaochu Jin, Lili Pan, Zhenzhong Lan
2025 J jnl
Neural Architecture Search Based on Bipartite Graphs for Text Classification.
IEEE Trans. Neural Networks Learn. Syst.
Xueming Yan, Han Huang, Yaochu Jin, Zilong Wang, Zhifeng Hao
2025 J jnl
Neural Network-Based Dimensionality Reduction for Large-Scale Binary Optimization With Millions of Variables.
IEEE Trans. Evol. Comput.
Ye Tian, Luchen Wang, Shangshang Yang, Jinliang Ding, Yaochu Jin, Xingyi Zhang
2025 J jnl
Newly Elected CIS Administrative Committee Members (2025-2027) [Society Briefs].
IEEE Comput. Intell. Mag.
Yaochu Jin
2025 J jnl
OmniMER: Indonesian Multimodal Emotion Recognition via Auxiliary-Enhanced LLM Adaptation.
CoRR
Xueming Yan, Boyan Xu, Yaochu Jin, Lixian Xiao, Wenlong Ye, Runyang Cai, Zeqi Zheng, Jingfa Liu, Aimin Yang
2025 J jnl
One Trigger Token Is Enough: A Defense Strategy for Balancing Safety and Usability in Large Language Models.
CoRR
Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, Yaochu Jin
2025 J jnl
OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models.
CoRR
Yuping Yan, Yuhan Xie, Yuanshuai Li, Yingchao Yu, Lingjuan Lyu, Yaochu Jin
2025 J jnl
PF-MAAC: A learning-based method for probabilistic optimization in time-constrained non-adversarial moving target search.
Swarm Evol. Comput.
Qihang Peng, Hongliang Guo, Zhengyan Zhang, Chih-Yung Wen, Yaochu Jin
2025 J jnl
ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models using Pareto High-quality Data.
CoRR
Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, Yaochu Jin
2025 J jnl
ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-Objective Evolutionary Algorithms [Application Notes].
IEEE Comput. Intell. Mag.
Yuxin Ma, Zherui Zhang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2025 J jnl
ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms.
CoRR
Yuxin Ma, Zherui Zhang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2025 J jnl
Preference Prediction-Based Evolutionary Multiobjective Optimization for Gasoline Blending Scheduling.
IEEE Trans. Artif. Intell.
Wenxuan Fang, Wei Du, Guo Yu, Renchu He, Yang Tang, Yaochu Jin
2025 J jnl
Robustness of Probabilistic Models to Low-Quality Data: A Multi-Perspective Analysis.
CoRR
Liu Peng, Yaochu Jin
2025 J jnl
SMC-Searcher: Signal Mediated Coordination for Decentralized Multi-Robot Adversarial Moving Target Search.
IEEE Trans. Emerg. Top. Comput. Intell.
Qihang Peng, Hongliang Guo, Boyang Li, Chih-Yung Wen, Yaochu Jin
2025 J jnl
STF: Shallow-Level Temporal Feedback to Enhance Spiking Transformers.
CoRR
Zeqi Zheng, Zizheng Zhu, Yingchao Yu, Yanchen Huang, Changze Lv, Junfeng Tang, Zhaofei Yu, Yaochu Jin
2025 J jnl
Self-motion as a structural prior for coherent and robust formation of cognitive maps.
CoRR
Yingchao Yu, Pengfei Sun, Yaochu Jin, Kuangrong Hao, Hao Zhang, Yifeng Zhang, Wenxuan Pan, Wei Chen, Danyal Akarca, Yuchen Xiao
2025 J jnl
Solver-Independent Automated Problem Formulation via LLMs for High-Cost Simulation-Driven Design.
CoRR
Yuchen Li, Handing Wang, Bing Xue, Mengjie Zhang, Yaochu Jin
2025 J jnl
Sparse Autoencoders Bridge The Deep Learning Model and The Brain.
CoRR
Ziming Mao, Jia Xu, Zeqi Zheng, Haofang Zheng, Dabing Sheng, Yaochu Jin, Guoyuan Yang
2025 A* conf
Spatial-Temporal Analysis of Collective Emotional Resonance in China During Global Health Crisis.
WWW
Limiao Zhang, Xinyang Qi, Haiping Ma, Jie Gao, Xingyi Zhang, Yanqing Hu, Yaochu Jin
2025 J jnl
SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition.
CoRR
Zeqi Zheng, Yanchen Huang, Yingchao Yu, Zizheng Zhu, Junfeng Tang, Zhaofei Yu, Yaochu Jin
2025 J jnl
Structural knowledge: from brain to artificial intelligence.
Artif. Intell. Rev.
Yingchao Yu, Yuping Yan, Yaochu Jin
2025 B conf
Surrogate-Assisted Evolutionary Neural Architecture Search with Architecture Knowledge Transfer.
CEC
Peng Liao, Xilu Wang, Yaochu Jin, Chaoli Sun, Wenli Du
2025 J jnl
Surrogate-Assisted Multiobjective Gene Selection for Cell Classification From Large-Scale Single-Cell RNA Sequencing Data.
IEEE Trans. Evol. Comput.
Jianqing Lin, Cheng He, Hanjing Jiang, Yabing Huang, Yaochu Jin
2025 J jnl
Surrogate-Assisted Neighborhood Search With Only a Few Weight Vectors for Expensive Large-Scale Multiobjective Binary Optimization.
IEEE Trans. Evol. Comput.
Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, Yaochu Jin
2025 J jnl
Synergistic integration of metaheuristics and machine learning: latest advances and emerging trends.
Artif. Intell. Rev.
Ruining Zhang, Jian Wang, Chanjuan Liu, Kaile Su, Hisao Ishibuchi, Yaochu Jin
2025 J jnl
TDFormer: A Top-Down Attention-Controlled Spiking Transformer.
CoRR
Zizheng Zhu, Yingchao Yu, Zeqi Zheng, Zhaofei Yu, Yaochu Jin
2025 B conf
Task Representation in Optimization: Utilizing Image Modalities for Effective Comparison.
CEC
Zijian Jiang, Qiqi Liu, Yaochu Jin, Jiaqiang Li
2025 J jnl
Token-Level Constraint Boundary Search for Jailbreaking Text-to-Image Models.
CoRR
Jiangtao Liu, Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
2025 J jnl
Towards fairness-aware multi-objective optimization.
Complex Intell. Syst.
Guo Yu, Lianbo Ma, Xilu Wang, Wei Du, Wenli Du, Yaochu Jin
2025 J jnl
TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data.
CoRR
Yuping Yan, Yizhi Wang, Yuanshuai Li, Yaochu Jin
2025 J jnl
Two-Group Distributed Optimization Under Cooperative-Collaborative Networks With Linear Convergence.
IEEE Trans. Circuits Syst. I Regul. Pap.
Ziwei Dong, Shuai Mao, Wei Du, Yaochu Jin, Yang Tang
2025 J jnl
ULC: A Unified and Fine-Grained Controller for Humanoid Loco-Manipulation.
CoRR
Wandong Sun, Luying Feng, Baoshi Cao, Yang Liu, Yaochu Jin, Zongwu Xie
2025 J jnl
Unlocking the Potential of AI Researchers in Scientific Discovery: What Is Missing?
CoRR
Hengjie Yu, Yaochu Jin
2025 A* conf
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning.
ICML
Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu
2025 J jnl
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning.
CoRR
Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu
2025 J jnl
When Alignment Fails: Multimodal Adversarial Attacks on Vision-Language-Action Models.
CoRR
Yuping Yan, Yuhan Xie, Yixin Zhang, Lingjuan Lyu, Handing Wang, Yaochu Jin
2025 J jnl
Zero-Shot Relation Classification Through Inference on Category Attributes.
IEEE Trans. Neural Networks Learn. Syst.
Yan Xiao, Yaochu Jin, Bin Wang, Yan Zhang, Kuangrong Hao, Haizhou Li
2025 J jnl
Zero-shot Robotic Manipulation with Language-guided Instruction and Formal Task Planning.
CoRR
Junfeng Tang, Zihan Ye, Yuping Yan, Ziqi Zheng, Ting Gao, Yaochu Jin
2025 A* conf
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning.
ICLR
Zihan Ye, Shreyank N. Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin
2024 J jnl
A Composite Decomposition Method for Large-Scale Global Optimization.
CoRR
Maojiang Tian, Minyang Chen, Wei Du, Yang Tang, Yaochu Jin, Gary G. Yen
2024 J jnl
A Composite Decomposition Method for Large-Scale Global Optimization.
IEEE Trans. Artif. Intell.
Maojiang Tian, Minyang Chen, Wei Du, Yang Tang, Yaochu Jin, Gary G. Yen
2024 J jnl
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features.
IEEE Trans. Neural Networks Learn. Syst.
Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas
2024 B conf
A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization.
CEC
Xiangyu Wang, Xilu Wang, Yaochu Jin, Ulrich Rückert
2024 B conf
A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic Regression.
CEC
Xinan Chen, Wenjie Yi, Ruibin Bai, Rong Qu, Yaochu Jin
2024 J jnl
A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement.
IEEE Trans. Emerg. Top. Comput. Intell.
Hongbin Li, Chaojun Ma, Chuanji Zhang, Qing Chen, Cheng He, Yaochu Jin
2024 J jnl
A Multiagent Cooperative Learning System With Evolution of Social Roles.
IEEE Trans. Evol. Comput.
Yaqing Hou, Mingyang Sun, Yifeng Zeng, Yew-Soon Ong, Yaochu Jin, Hongwei Ge, Qiang Zhang
2024 J jnl
A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems.
IEEE Trans. Emerg. Top. Comput. Intell.
Jianping Luo, Yongfei Dong, Qiqi Liu, Zexuan Zhu, Wenming Cao, Kay Chen Tan, Yaochu Jin
2024 J jnl
A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions.
CoRR
Wei Du, Wenxuan Fang, Chen Liang, Yang Tang, Yaochu Jin
2024 J jnl
A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions.
IEEE Trans. Emerg. Top. Comput. Intell.
Wei Du, Wenxuan Fang, Chen Liang, Yang Tang, Yaochu Jin
2024 J jnl
A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell.
Qiqi Liu, Yuping Yan, Péter Ligeti, Yaochu Jin
2024 B conf
A Surrogate-Assisted Coevolutionary Algorithm for Expensive Constrained Multiobjective Optimization.
CEC
Haofeng Wu, Qingda Chen, Cuie Yang, Jinliang Ding, Yaochu Jin
2024 J jnl
A Surrogate-Assisted Differential Evolution With Knowledge Transfer for Expensive Incremental Optimization Problems.
IEEE Trans. Evol. Comput.
Yuanchao Liu, Jianchang Liu, Jinliang Ding, Shangshang Yang, Yaochu Jin
2024 J jnl
A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions.
IEEE Trans. Emerg. Top. Comput. Intell.
Haofeng Wu, Qingda Chen, Yaochu Jin, Jinliang Ding, Tianyou Chai
2024 B conf
A Surrogate-Assisted Genetic Algorithm Framework to Discover Peptides Against COVID-19 Virus.
CEC
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
2024 J jnl
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks.
CoRR
Yaochu Jin, Xueming Yan, Shiqing Liu, Xiangyu Wang
2024 J jnl
A graph neural network with negative message passing and uniformity maximization for graph coloring.
Complex Intell. Syst.
Xiangyu Wang, Xueming Yan, Yaochu Jin
2024 J jnl
A hypothetical defenses-based training framework for generating transferable adversarial examples.
Knowl. Based Syst.
Lingguang Hao, Kuangrong Hao, Yaochu Jin, Hongzhi Zhao
2024 J jnl
Adaptive multi-stage evolutionary search for constrained multi-objective optimization.
Complex Intell. Syst.
Huiting Li, Yaochu Jin, Ran Cheng
2024 J jnl
Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives.
IEEE Trans. Syst. Man Cybern. Syst.
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2024 J jnl
An Energy-Efficient Convolution-Based Partitioned Collaborative Perception Algorithm for Large-Scale IoT Services.
IEEE Trans. Ind. Informatics
Zhen Yang, Jie Zhang, Yunliang Jiang, Yaochu Jin
2024 J jnl
An Enhanced Differential Grouping Method for Large-Scale Overlapping Problems.
CoRR
Maojiang Tian, Mingke Chen, Wei Du, Yang Tang, Yaochu Jin
2024 J jnl
An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting.
Appl. Soft Comput.
Xihe Qiu, Jiahui Qian, Haoyu Wang, Xiaoyu Tan, Yaochu Jin
2024 J jnl
An edge-aware graph autoencoder trained on scale-imbalanced data for traveling salesman problems.
Knowl. Based Syst.
Shiqing Liu, Xueming Yan, Yaochu Jin
2024 J jnl
Automated Federated Learning via Informed Pruning.
CoRR
Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer
2024 J jnl
Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang, Yaochu Jin
2024 J jnl
Binary spectral clustering for multi-view data.
Inf. Sci.
Xueming Yan, Guo Zhong, Yaochu Jin, Xiaohua Ke, Fenfang Xie, Guoheng Huang
2024 J jnl
CIS-ing in an Uncertain World [President's Message].
IEEE Comput. Intell. Mag.
Yaochu Jin
2024 A* conf
ColVO: Colonoscopic Visual Odometry Considering Geometric and Photometric Consistency.
ACM Multimedia
Ruyu Liu, Zhengzhe Liu, Haoyu Zhang, Guodao Zhang, Jianhua Zhang, Bo Sun, Weiguo Sheng, Xiufeng Liu, Yaochu Jin
2024 J jnl
Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection.
CoRR
Fei Ming, Wenyin Gong, Ling Wang, Yaochu Jin
2024 J jnl
Cross-modal hashing retrieval with compatible triplet representation.
Neurocomputing
Zhifeng Hao, Yaochu Jin, Xueming Yan, Chuyue Wang, Shangshang Yang, Hong Ge
2024 J jnl
Cross-modality Neuroimage Synthesis: A Survey.
ACM Comput. Surv.
Guoyang Xie, Yawen Huang, Jin-Bao Wang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin
2024 J jnl
DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target.
IEEE Trans. Neural Networks Learn. Syst.
Hongliang Guo, Qihang Peng, Zhiguang Cao, Yaochu Jin
2024 J jnl
Deep Industrial Image Anomaly Detection: A Survey.
Mach. Intell. Res.
Jiaqi Liu, Guoyang Xie, Jin-Bao Wang, Shangnian Li, Chengjie Wang, Feng Zheng, Yaochu Jin
2024 J jnl
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling.
CoRR
Wenxuan Fang, Wei Du, Renchu He, Yang Tang, Yaochu Jin, Gary G. Yen
2024 J jnl
Don't Play Games, Optimize [President's Message].
IEEE Comput. Intell. Mag.
Yaochu Jin
2024 J jnl
Efficient Surrogate Modeling Method for Evolutionary Algorithm to Solve Bilevel Optimization Problems.
IEEE Trans. Cybern.
Hao Jiang, Kang Chou, Ye Tian, Xingyi Zhang, Yaochu Jin
2024 J jnl
Efficient adversarial training with multi-fidelity optimization for robust neural network.
Neurocomputing
Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
2024 J jnl
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization.
CoRR
Xueming Yan, Yaochu Jin
2024 J jnl
Even Search in a Promising Region for Constrained Multi-Objective Optimization.
IEEE CAA J. Autom. Sinica
Fei Ming, Wenyin Gong, Yaochu Jin
2024 J jnl
Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Huiting Li, Yaochu Jin, Tianyou Chai
2024 J jnl
Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks.
IEEE Trans. Neural Networks Learn. Syst.
Xinjie Wang, Yaochu Jin, Wenli Du, Jun Wang
2024 J jnl
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models.
CoRR
Zihan Ye, Shreyank N. Gowda, Xiaobo Jin, Xiaowei Huang, Haotian Xu, Yaochu Jin, Kaizhu Huang
2024 J jnl
FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels.
IEEE Trans. Big Data
Rui Wang, Oguzhan Ersoy, Hangyu Zhu, Yaochu Jin, Kaitai Liang
2024 J jnl
FL-OTCSEnc: Towards secure federated learning with deep compressed sensing.
Knowl. Based Syst.
Leming Wu, Yaochu Jin, Yuping Yan, Kuangrong Hao
2024 B conf
FOG: A Unified Framework for Federated Combinatorial Optimization on Graphs.
CEC
Shiqing Liu, Ulrich Rückert, Yaochu Jin
2024 J jnl
FedSlate:A Federated Deep Reinforcement Learning Recommender System.
CoRR
Yongxin Deng, Xiaoyu Tan, Xihe Qiu, Yaochu Jin
2024 J jnl
Federated Bayesian optimization via compressed sensing.
Inf. Sci.
Qiqi Liu, Leming Wu, Yaochu Jin
2024 — conf
Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast.
LREC/COLING
Yan Xiao, Yaochu Jin, Kuangrong Hao
2024 J jnl
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks.
CoRR
Xueming Yan, Ziqi Wang, Yaochu Jin
2024 B conf
Federated Loss Exploration for Improved Convergence on Non-IID Data.
IJCNN
Christian Internò, Markus Olhofer, Yaochu Jin, Barbara Hammer
2024 J jnl
Federated Many-Task Bayesian Optimization.
IEEE Trans. Evol. Comput.
Hangyu Zhu, Xilu Wang, Yaochu Jin
2024 J jnl
Fedlabx: a practical and privacy-preserving framework for federated learning.
Complex Intell. Syst.
Yuping Yan, Mohammed B. Alshawki, Marcell Zoltay, Marcell Gál, Roland Hollós, Yaochu Jin, Péter Ligeti, Ákos Tényi
2024 J jnl
Growing Neural Gas Network-based surrogate-assisted Pareto set learning for multimodal multi-objective optimization.
Swarm Evol. Comput.
Fei Ming, Wenyin Gong, Yaochu Jin
2024 J jnl
Guest Editorial Special Issue on Learning Theories and Methods With Application to Digitized Process Manufacturing.
IEEE Trans. Neural Networks Learn. Syst.
Feng Qian, Yaochu Jin, Xinghuo Yu, Yang Tang, Guy B. Marin
2024 J jnl
Guiding Multi-agent Multi-task Reinforcement Learning by a Hierarchical Framework with Logical Reward Shaping.
CoRR
Chanjuan Liu, Jinmiao Cong, Bingcai Chen, Yaochu Jin, Enqiang Zhu
2024 J jnl
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks.
CoRR
Yingchao Yu, Yuping Yan, Jisong Cai, Yaochu Jin
2024 J jnl
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing.
IEEE Trans. Cybern.
Guoyang Xie, Jinbao Wang, Jiaqi Liu, Jiayi Lyu, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin
2024 J jnl
Improved Feature Generating Framework for Transductive Zero-shot Learning.
CoRR
Zihan Ye, Xinyuan Ru, Shiming Chen, Yaochu Jin, Kaizhu Huang, Xiaobo Jin
2024 J jnl
Integrating Visual Perception With Decision Making in Neuromorphic Fault-Tolerant Quadruplet-Spike Learning Framework.
IEEE Trans. Syst. Man Cybern. Syst.
Shuangming Yang, Haowen Wang, Yanwei Pang, Yaochu Jin, Bernabé Linares-Barranco
2024 J jnl
Introduction to the Special Issue on Data-Driven Evolutionary Computation.
ACM Trans. Evol. Learn. Optim.
Yaochu Jin, Xilu Wang, Hemant K. Singh, Tinkle Chugh, Alma Rahat
2024 J jnl
Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization.
Appl. Soft Comput.
Fei Li, Zhengkun Shang, Yuanchao Liu, Hao Shen, Yaochu Jin
2024 J jnl
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling.
CoRR
Wanting Zhang, Wei Du, Guo Yu, Renchu He, Wenli Du, Yaochu Jin
2024 J jnl
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling.
IEEE Trans. Emerg. Top. Comput. Intell.
Wanting Zhang, Wei Du, Guo Yu, Renchu He, Wenli Du, Yaochu Jin
2024 J jnl
Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis.
IEEE Trans. Evol. Comput.
Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin
2024 J jnl
Learning to Guide Particle Search for Dynamic Multiobjective Optimization.
IEEE Trans. Cybern.
Wei Song, Shaocong Liu, Xinjie Wang, Yinan Guo, Shengxiang Yang, Yaochu Jin
2024 J jnl
Lightweight Structure-Aware Transformer Network for Remote Sensing Image Change Detection.
IEEE Geosci. Remote. Sens. Lett.
Tao Lei, Yetong Xu, Hailong Ning, Zhiyong Lv, Chongdan Min, Yaochu Jin, Asoke K. Nandi
2024 J jnl
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets.
CoRR
Peng Liao, Xilu Wang, Yaochu Jin, Wenli Du
2024 — conf
MO-EMT-NAS: Multi-objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets.
ECCV (70)
Peng Liao, Xilu Wang, Yaochu Jin, Wenli Du
2024 J jnl
Machine Learning-Accelerated Multi-Objective Design of Fractured Geothermal Systems.
CoRR
Guodong Chen, Jiu Jimmy Jiao, Qiqi Liu, Zhongzheng Wang, Yaochu Jin
2024 J jnl
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding.
IEEE Trans. Emerg. Top. Comput. Intell.
Xiaoyu Tan, Chao Qu, Junwu Xiong, James Y. Zhang, Xihe Qiu, Yaochu Jin
2024 J jnl
Multi-Domain Evolutionary Optimization of Network Structures.
CoRR
Jie Zhao, Kang Hao Cheong, Yaochu Jin
2024 J jnl
Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality.
CoRR
Yaqing Hou, Mingyang Sun, Abhishek Gupta, Yaochu Jin, Haiyin Piao, Hongwei Ge, Qiang Zhang
2024 J jnl
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment.
IEEE Trans. Evol. Comput.
Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb
2024 J jnl
Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification.
IEEE Trans. Emerg. Top. Comput. Intell.
Xueming Yan, Han Huang, Yaochu Jin, Liang Chen, Zhanning Liang, Zhifeng Hao
2024 J jnl
Newly Elected CIS Administrative Committee Members [Society Briefs].
IEEE Comput. Intell. Mag.
Yaochu Jin
2024 J jnl
Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas.
CoRR
Xiang Hu, Hongyu Fu, Jinge Wang, Yifeng Wang, Zhikun Li, Renjun Xu, Yu Lu, Yaochu Jin, Lili Pan, Zhenzhong Lan
2024 J jnl
Pareto-Wise Ranking Classifier for Multiobjective Evolutionary Neural Architecture Search.
IEEE Trans. Evol. Comput.
Lianbo Ma, Nan Li, Guo Yu, Xiaoyu Geng, Shi Cheng, Xingwei Wang, Min Huang, Yaochu Jin
2024 — conf
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective.
ECCV (28)
Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
2024 J jnl
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective.
CoRR
Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
2024 J jnl
Privacy-preserving Quantification of Non-IID Degree in Federated Learning.
CoRR
Yuping Yan, Yizhi Wang, Yingchao Yu, Yaochu Jin
2024 J jnl
Privacy-preserving federated Bayesian optimization with learnable noise.
Inf. Sci.
Qiqi Liu, Yuping Yan, Yaochu Jin
2024 J jnl
Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling.
IEEE Trans. Intell. Transp. Syst.
Peng Yue, Yaochu Jin, Xuewu Dai, Zhenhua Feng, Dongliang Cui
2024 J jnl
Reinforcement Learning for Scalable Train Timetable Rescheduling With Graph Representation.
IEEE Trans. Intell. Transp. Syst.
Peng Yue, Yaochu Jin, Xuewu Dai, Zhenhua Feng, Dongliang Cui
2024 J jnl
Reinforcement Learning for Scalable Train Timetable Rescheduling with Graph Representation.
CoRR
Peng Yue, Yaochu Jin, Xuewu Dai, Zhenhua Feng, Dongliang Cui
2024 — conf
Robust Long-Tailed Image Classification via Adversarial Feature Re-Calibration.
VISIGRAPP (2): VISAPP
Jinghao Zhang, Zhenhua Feng, Yaochu Jin
2024 J jnl
Robust Optimization Over Time: A Critical Review.
IEEE Trans. Evol. Comput.
Danial Yazdani, Mohammad Nabi Omidvar, Donya Yazdani, Jürgen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao
2024 J jnl
Sparse Large-Scale Multiobjective Optimization by Identifying Nonzero Decision Variables.
IEEE Trans. Syst. Man Cybern. Syst.
Xiangyu Wang, Ran Cheng, Yaochu Jin
2024 J jnl
Surrogate information transfer and fusion in high-dimensional expensive optimization problems.
Swarm Evol. Comput.
Yong Pang, Shuai Zhang, Yaochu Jin, Yitang Wang, Xiaonan Lai, Xueguan Song
2024 J jnl
Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling.
IEEE Trans. Emerg. Top. Comput. Intell.
Haofeng Wu, Yaochu Jin, Kailai Gao, Jinliang Ding, Ran Cheng
2024 J jnl
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues.
ACM Comput. Surv.
Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin
2024 J jnl
Time Flies [President's Message].
IEEE Comput. Intell. Mag.
Yaochu Jin
2024 J jnl
Tree-shaped multiobjective evolutionary CNN for hyperspectral image classification.
Appl. Soft Comput.
Mengxuan Zhang, Long Liu, Yaochu Jin, Zhikun Lei, Zhigang Wang, Licheng Jiao
2023 J jnl
A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization.
Evol. Comput.
Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai
2023 J jnl
A Decomposition Method for Both Additively and Nonadditively Separable Problems.
IEEE Trans. Evol. Comput.
Minyang Chen, Wei Du, Yang Tang, Yaochu Jin, Gary G. Yen
2023 J jnl
A Graph Neural Network with Negative Message Passing for Graph Coloring.
CoRR
Xiangyu Wang, Xueming Yan, Yaochu Jin
2023 J jnl
A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem.
IEEE Comput. Intell. Mag.
Shuai Wang, Beichen Ding, Yaochu Jin
2023 J jnl
A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Shufen Qin, Chaoli Sun, Qiqi Liu, Yaochu Jin
2023 J jnl
A Self-Organizing IoT Service Perception Algorithm Based on Human Visual Direction-Sensitive System.
IEEE Internet Things J.
Zhen Yang, Jie Zhang, Yunliang Jiang, Yaochu Jin
2023 J jnl
A Surrogate-Assisted Evolutionary Framework With Regions of Interests-Based Data Selection for Expensive Constrained Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Zhenshou Song, Handing Wang, Yaochu Jin
2023 J jnl
A Surrogate-Assisted Two-Stage Differential Evolution for Expensive Constrained Optimization.
IEEE Trans. Emerg. Top. Comput. Intell.
Yuanchao Liu, Jianchang Liu, Yaochu Jin, Fei Li, Tianzi Zheng
2023 J jnl
A practical tutorial on solving optimization problems via PlatEMO.
Neurocomputing
Ye Tian, Weijian Zhu, Xingyi Zhang, Yaochu Jin
2023 J jnl
A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation.
Neurocomputing
Xi Zhang, Yaochu Jin, Feng Qian
2023 J jnl
Adaptive Prototypical Networks With Label Words and Joint Representation Learning for Few-Shot Relation Classification.
IEEE Trans. Neural Networks Learn. Syst.
Yan Xiao, Yaochu Jin, Kuangrong Hao
2023 A* conf
Adversarial Training of Deep Neural Networks Guided by Texture and Structural Information.
ACM Multimedia
Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
2023 — conf
An Ant Colony Algorithm Assisted by Graph Neural Networks for Solving Vehicle Routing Problems.
GECCO Companion
Xiangyu Wang, Yaochu Jin
2023 J jnl
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Travelling Salesman Problems.
CoRR
Shiqing Liu, Xueming Yan, Yaochu Jin
2023 J jnl
An adaptive Gaussian process based manifold transfer learning to expensive dynamic multi-objective optimization.
Neurocomputing
Xi Zhang, Guo Yu, Yaochu Jin, Feng Qian
2023 J jnl
An adaptive n-gram transformer for multi-scale scene text recognition.
Knowl. Based Syst.
Xueming Yan, Zhihang Fang, Yaochu Jin
2023 J jnl
An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage.
Appl. Soft Comput.
Rongsheng Wang, Qi Zhang, Xuewu Dai, Zhiming Yuan, Tao Zhang, Shuxin Ding, Yaochu Jin
2023 J jnl
An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems.
Complex Intell. Syst.
Meirong Chen, Yinan Guo, Yaochu Jin, Shengxiang Yang, Dunwei Gong, Zekuan Yu
2023 J jnl
Augmented Transformers with Adaptive n-grams Embedding for Multilingual Scene Text Recognition.
CoRR
Xueming Yan, Zhihang Fang, Yaochu Jin
2023 J jnl
Automated pattern generation for swarm robots using constrained multi-objective genetic programming.
Swarm Evol. Comput.
Zhun Fan, Zhaojun Wang, Wenji Li, Xiaomin Zhu, Bingliang Hu, An-Min Zou, Weidong Bao, Minqiang Gu, Zhifeng Hao, Yaochu Jin
2023 J jnl
Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures.
Neurocomputing
Jia Liu, Ran Cheng, Yaochu Jin
2023 J jnl
Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell.
Shangshang Yang, Haoyu Wei, Haiping Ma, Ye Tian, Xingyi Zhang, Yunbo Cao, Yaochu Jin
2023 — book
Computational Evolution of Neural and Morphological Development - Towards Evolutionary Developmental Artificial Intelligence
Yaochu Jin
2023 J jnl
Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments.
IEEE Trans. Evol. Comput.
Yapei Wu, Xingguang Peng, Handing Wang, Yaochu Jin, Demin Xu
2023 J jnl
Coordinated Adaptation of Reference Vectors and Scalarizing Functions in Evolutionary Many-Objective Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Qiqi Liu, Yaochu Jin, Martin Heiderich, Tobias Rodemann
2023 J jnl
DRL Router: Distributional Reinforcement Learning-Based Router for Reliable Shortest Path Problems.
IEEE Intell. Transp. Syst. Mag.
Hongliang Guo, Wenda Sheng, Chen Gao, Yaochu Jin
2023 J jnl
Decomposition-Based Multiobjective Optimization for Variable-Length Mixed-Variable Pareto Optimization and Its Application in Cloud Service Allocation.
IEEE Trans. Syst. Man Cybern. Syst.
Lianbo Ma, Yang Liu, Guo Yu, Xinzhe Wang, Hongwei Mo, Gai-Ge Wang, Yaochu Jin, Ying Tan
2023 J jnl
Deep Industrial Image Anomaly Detection: A Survey.
CoRR
Jiaqi Liu, Guoyang Xie, Jingbao Wang, Shangnian Li, Chengjie Wang, Feng Zheng, Yaochu Jin
2023 J jnl
Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization.
IEEE Trans. Emerg. Top. Comput. Intell.
Ye Tian, Xiaopeng Li, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2023 J jnl
Deep learning based brain tumor segmentation: a survey.
Complex Intell. Syst.
Zhihua Liu, Lei Tong, Long Chen, Zheheng Jiang, Feixiang Zhou, Qianni Zhang, Xiangrong Zhang, Yaochu Jin, Huiyu Zhou
2023 J jnl
Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization.
Inf. Sci.
Yajie Zhang, Ye Tian, Hao Jiang, Xingyi Zhang, Yaochu Jin
2023 J jnl
Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search.
CoRR
Shangshang Yang, Haiping Ma, Cheng Zhen, Ye Tian, Limiao Zhang, Yaochu Jin, Xingyi Zhang
2023 A* conf
EMT-NAS: Transferring architectural knowledge between tasks from different datasets.
CVPR
Peng Liao, Yaochu Jin, Wenli Du
2023 B conf
Effects of Pareto Set on the Performance of Problem Reformulation-Based Large-Scale Multiobjective Optimization Algorithms.
CEC
Haoran Gu, Handing Wang, Yaochu Jin
2023 J jnl
Elitism-based transfer learning and diversity maintenance for dynamic multi-objective optimization.
Inf. Sci.
Xi Zhang, Guo Yu, Yaochu Jin, Feng Qian
2023 C conf
End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location.
EMO
Shiqing Liu, Xueming Yan, Yaochu Jin
2023 J jnl
Enhancing the Robustness of Networks Against Multiple Damage Models Using a Multifactorial Evolutionary Algorithm.
IEEE Trans. Syst. Man Cybern. Syst.
Shuai Wang, Yaochu Jin, Ming Cai
2023 J jnl
EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation.
CoRR
Beichen Huang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2023 J jnl
Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments.
CoRR
Mai Peng, Zeneng She, Delaram Yazdani, Danial Yazdani, Wenjian Luo, Changhe Li, Jürgen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao
2023 J jnl
Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping.
IEEE Trans. Cybern.
Hui Bai, Ran Cheng, Danial Yazdani, Kay Chen Tan, Yaochu Jin
2023 J jnl
Evolutionary Reinforcement Learning: A Survey.
CoRR
Hui Bai, Ran Cheng, Yaochu Jin
2023 J jnl
Evolutionary multiobjective optimization via efficient sampling-based offspring generation.
Complex Intell. Syst.
Cheng He, Lianghao Li, Ran Cheng, Yaochu Jin
2023 J jnl
FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis.
Neurocomputing
Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin
2023 B conf
Federated Bayesian Optimization for Privacy-Preserving Neural Architecture Search.
CEC
Shiqing Liu, Xilu Wang, Yaochu Jin
2023 — book
Federated Learning - Fundamentals and Advances
Yaochu Jin, Hangyu Zhu, Jinjin Xu, Yang Chen
2023 — conf
Graph Q-learning Assisted Ant Colony Optimization for Vehicle Routing Problems with Time Windows.
GECCO Companion
Peng Yue, Shiqing Liu, Yaochu Jin
2023 J jnl
Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications.
IEEE Trans. Evol. Comput.
Xingyi Zhang, Ran Cheng, Yaochu Jin, Bernhard Sendhoff
2023 J jnl
Guest Editorial: Advanced Intelligent Manufacturing System: Theory, Algorithms, and Industrial Applications.
IEEE Trans. Ind. Informatics
Qiang Liu, Jialu Fan, Jin-Xi Zhang, Yaochu Jin
2023 J jnl
Guest Editorial: Special Issue on Security and Privacy in Machine Learning.
IEEE Trans. Artif. Intell.
Wenjian Luo, Yaochu Jin, Catherine Huang
2023 J jnl
Guest editorial: Robust, explainable, and privacy-preserving deep learning.
Knowl. Based Syst.
Nian Zhang, Zhigang Zeng, Yaochu Jin
2023 J jnl
HE-DKSAP: Privacy-Preserving Stealth Address Protocol via Additively Homomorphic Encryption.
CoRR
Yuping Yan, George Shao, Dennis Song, Mason Song, Yaochu Jin
2023 J jnl
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing.
CoRR
Guoyang Xie, Jinbao Wang, Jiaqi Liu, Jiayi Lyu, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin
2023 J jnl
Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions.
CoRR
Felix Lanfermann, Qiqi Liu, Yaochu Jin, Sebastian Schmitt
2023 J jnl
Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm.
IEEE Trans. Artif. Intell.
Ye Tian, Jingwen Pan, Shangshang Yang, Xingyi Zhang, Shuping He, Yaochu Jin
2023 J jnl
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment.
CoRR
Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin
2023 — ch.
Key Issues in Real-World Applications of Many-Objective Optimisation and Decision Analysis.
Many-Criteria Optimization and Decision Analysis
Kalyanmoy Deb, Peter J. Fleming, Yaochu Jin, Kaisa Miettinen, Patrick M. Reed
2023 J jnl
Lightweight Structure-aware Transformer Network for VHR Remote Sensing Image Change Detection.
CoRR
Tao Lei, Yetong Xu, Hailong Ning, Zhiyong Lv, Chongdan Min, Yaochu Jin, Asoke K. Nandi
2023 J jnl
Local Model-Based Pareto Front Estimation for Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Ye Tian, Langchun Si, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2023 J jnl
Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial].
IEEE Comput. Intell. Mag.
Xingyi Zhang, Ran Cheng, Liang Feng, Yaochu Jin
2023 J jnl
Multi-robot target entrapment using cooperative hierarchical gene regulatory network.
Swarm Evol. Comput.
Meng Wu, Xiaomin Zhu, Li Ma, Weidong Bao, Zhun Fan, Yaochu Jin
2023 J jnl
Multi-task evolutionary optimization of multi-echelon location routing problems via a hierarchical fuzzy graph.
Complex Intell. Syst.
Xueming Yan, Yaochu Jin, Xiaohua Ke, Zhifeng Hao
2023 J jnl
Optimized compressed sensing for communication efficient federated learning.
Knowl. Based Syst.
Leming Wu, Yaochu Jin, Kuangrong Hao
2023 J jnl
PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels.
IEEE Trans. Artif. Intell.
Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang
2023 J jnl
Performance Indicator-Based Adaptive Model Selection for Offline Data-Driven Multiobjective Evolutionary Optimization.
IEEE Trans. Cybern.
Zhening Liu, Handing Wang, Yaochu Jin
2023 J jnl
Personalized Bayesian optimization for noisy problems.
Complex Intell. Syst.
Xilu Wang, Yaochu Jin
2023 A* conf
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore.
ICLR
Guoyang Xie, Jinbao Wang, Jiaqi Liu, Yaochu Jin, Feng Zheng
2023 J jnl
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore.
CoRR
Guoyang Xie, Jingbao Wang, Jiaqi Liu, Feng Zheng, Yaochu Jin
2023 J jnl
Recent Advances in Bayesian Optimization.
ACM Comput. Surv.
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2023 J jnl
Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis.
IEEE Trans. Cybern.
Guo Yu, Yaochu Jin, Markus Olhofer, Qiqi Liu, Wenli Du
2023 J jnl
Spike-driven multi-scale learning with hybrid mechanisms of spiking dendrites.
Neurocomputing
Shuangming Yang, Yanwei Pang, Haowen Wang, Tao Lei, Jing Pan, Jian Wang, Yaochu Jin
2023 J jnl
Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines.
IEEE Trans. Emerg. Top. Comput. Intell.
Yan Zhou, Yaochu Jin, Yao Sun, Jinliang Ding
2023 J jnl
Surrogate-Assisted Differential Evolution With Adaptive Multisubspace Search for Large-Scale Expensive Optimization.
IEEE Trans. Evol. Comput.
Haoran Gu, Handing Wang, Yaochu Jin
2023 J jnl
Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems.
IEEE Trans. Evol. Comput.
Tuo Zhang, Handing Wang, Bo Yuan, Yaochu Jin, Xin Yao
2023 J jnl
Surrogate-Assisted Many-Objective Optimization of Building Energy Management.
IEEE Comput. Intell. Mag.
Qiqi Liu, Felix Lanfermann, Tobias Rodemann, Markus Olhofer, Yaochu Jin
2023 J jnl
Tiny adversarial multi-objective one-shot neural architecture search.
Complex Intell. Syst.
Guoyang Xie, Jinbao Wang, Guo Yu, Jiayi Lyu, Feng Zheng, Yaochu Jin
2023 — conf
Towards the Prognosis of Patients in Coma using Echo State Networks for EEG Analysis.
INNS DLIA@IJCNN
Lucas Z. Bissaro, Odelmo O. Nascimento Junior, João Batista Destro Filho, Yaochu Jin, Murillo G. Carneiro
2023 J jnl
Triple Change Detection Network via Joint Multifrequency and Full-Scale Swin-Transformer for Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Dinghua Xue, Tao Lei, Shuangming Yang, Zhiyong Lv, Tongfei Liu, Yaochu Jin, Asoke K. Nandi
2023 J jnl
Ultralightweight Spatial-Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Tao Lei, Xinzhe Geng, Hailong Ning, Zhiyong Lv, Maoguo Gong, Yaochu Jin, Asoke K. Nandi
2023 — conf
What Makes a Good Data Augmentation for Few-Shot Unsupervised Image Anomaly Detection?
CVPR Workshops
Lingrui Zhang, Shuheng Zhang, Guoyang Xie, Jiaqi Liu, Hua Yan, Jinbao Wang, Feng Zheng, Yaochu Jin
2023 J jnl
What makes a good data augmentation for few-shot unsupervised image anomaly detection?
CoRR
Lingrui Zhang, Shuheng Zhang, Guoyang Xie, Jiaqi Liu, Hua Yan, Jinbao Wang, Feng Zheng, Yaochu Jin
2022 J jnl
A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization.
Swarm Evol. Comput.
Xiangyu Wang, Bingran Zhang, Jian Wang, Kai Zhang, Yaochu Jin
2022 J jnl
A Decision Variable Assortment-Based Evolutionary Algorithm for Dominance Robust Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Jianchang Liu, Yuanchao Liu, Yaochu Jin, Fei Li
2022 J jnl
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features.
CoRR
Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas
2022 J jnl
A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Shangshang Yang, Ye Tian, Cheng He, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2022 J jnl
A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning.
IEEE Trans. Evol. Comput.
Ye Tian, Yuandong Feng, Chao Wang, Ruifen Cao, Xingyi Zhang, Xi Pei, Kay Chen Tan, Yaochu Jin
2022 J jnl
A Pairwise Proximity Learning-Based Ant Colony Algorithm for Dynamic Vehicle Routing Problems.
IEEE Trans. Intell. Transp. Syst.
Xiaoshu Xiang, Ye Tian, Xingyi Zhang, Jianhua Xiao, Yaochu Jin
2022 J jnl
A Pattern Mining-Based Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems.
IEEE Trans. Cybern.
Ye Tian, Chang Lu, Xingyi Zhang, Fan Cheng, Yaochu Jin
2022 J jnl
A Secure Federated Data-Driven Evolutionary Multi-objective Optimization Algorithm.
CoRR
Qiqi Liu, Yuping Yan, Péter Ligeti, Yaochu Jin
2022 J jnl
A Survey of Cross-Modality Brain Image Synthesis.
CoRR
Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Yaochu Jin
2022 J jnl
A Survey of Visual Sensory Anomaly Detection.
CoRR
Xi Jiang, Guoyang Xie, Jinbao Wang, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin
2022 J jnl
A Survey on Knee-Oriented Multiobjective Evolutionary Optimization.
IEEE Trans. Evol. Comput.
Guo Yu, Lianbo Ma, Yaochu Jin, Wenli Du, Qiqi Liu, Hengmin Zhang
2022 J jnl
A Survey on Surrogate-assisted Efficient Neural Architecture Search.
CoRR
Shiqing Liu, Haoyu Zhang, Yaochu Jin
2022 J jnl
A benchmark generator for online dynamic single-objective and multi-objective optimization problems.
Inf. Sci.
Xiaoshu Xiang, Ye Tian, Ran Cheng, Xingyi Zhang, Shengxiang Yang, Yaochu Jin
2022 J jnl
A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization.
Swarm Evol. Comput.
Lianghao Li, Cheng He, Ran Cheng, Hongbin Li, Linqiang Pan, Yaochu Jin
2022 J jnl
A fuzzy constraint handling technique for decomposition-based constrained multi- and many-objective optimization.
Inf. Sci.
Dong Han, Wenli Du, Yaochu Jin, Wei Du, Guo Yu
2022 J jnl
A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support.
Knowl. Based Syst.
Xihe Qiu, Xiaoyu Tan, Qiong Li, Shaotao Chen, Yajun Ru, Yaochu Jin
2022 J jnl
A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings.
Inf. Sci.
Shaotao Chen, Xihe Qiu, Xiaoyu Tan, Zhijun Fang, Yaochu Jin
2022 J jnl
A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization.
Inf. Sci.
Sheng Qi, Juan Zou, Shengxiang Yang, Yaochu Jin, Jinhua Zheng, Xu Yang
2022 J jnl
Action Command Encoding for Surrogate-Assisted Neural Architecture Search.
IEEE Trans. Cogn. Dev. Syst.
Ye Tian, Shichen Peng, Shangshang Yang, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2022 J jnl
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives.
CoRR
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2022 J jnl
An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems.
IEEE Trans. Cybern.
Qiqi Liu, Yaochu Jin, Martin Heiderich, Tobias Rodemann, Guo Yu
2022 J jnl
An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Xiangyu Wang, Kai Zhang, Jian Wang, Yaochu Jin
2022 J jnl
Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization.
IEEE Trans. Cybern.
Ye Tian, Yajie Zhang, Yansen Su, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2022 J jnl
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures.
CoRR
Jia Liu, Ran Cheng, Yaochu Jin
2022 J jnl
Computational Modeling of Structural Synaptic Plasticity in Echo State Networks.
IEEE Trans. Cybern.
Xinjie Wang, Yaochu Jin, Kuangrong Hao
2022 J jnl
Distributed machine learning, optimization and applications.
Neurocomputing
Qingshan Liu, Zhigang Zeng, Yaochu Jin
2022 J jnl
End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location.
CoRR
Shiqing Liu, Xueming Yan, Yaochu Jin
2022 J jnl
Evolutionary Large-Scale Multi-Objective Optimization: A Survey.
ACM Comput. Surv.
Ye Tian, Langchun Si, Xingyi Zhang, Ran Cheng, Cheng He, Kay Chen Tan, Yaochu Jin
2022 J jnl
Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network.
IEEE Trans. Syst. Man Cybern. Syst.
Dan Guo, Xilu Wang, Kailai Gao, Yaochu Jin, Jinliang Ding, Tianyou Chai
2022 J jnl
Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing.
IEEE Trans. Evol. Comput.
Haoyu Zhang, Yaochu Jin, Kuangrong Hao
2022 J jnl
Experience Sharing Based Memetic Transfer Learning for Multiagent Reinforcement Learning.
Memetic Comput.
Tonghao Wang, Xingguang Peng, Yaochu Jin, Demin Xu
2022 J jnl
Fault-tolerant adaptive tracking control of Euler-Lagrange systems - An echo state network approach driven by reinforcement learning.
Neurocomputing
Qing Chen, Yaochu Jin, Yongduan Song
2022 J jnl
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss.
CoRR
Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Yaochu Jin
2022 A* conf
FedMed-ATL: Misaligned Unpaired Cross-Modality Neuroimage Synthesis via Affine Transform Loss.
ACM Multimedia
Jinbao Wang, Guoyang Xie, Yawen Huang, Yefeng Zheng, Yaochu Jin, Feng Zheng
2022 J jnl
FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis.
CoRR
Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Jingkuan Song, Yaochu Jin
2022 J jnl
Hybrid attention-based transformer block model for distant supervision relation extraction.
Neurocomputing
Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao
2022 J jnl
Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization.
IEEE Trans. Neural Networks Learn. Syst.
Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas
2022 J jnl
Information maximization clustering via multi-view self-labelling.
Knowl. Based Syst.
Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas
2022 J jnl
Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization.
IEEE CAA J. Autom. Sinica
Ye Tian, Haowen Chen, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2022 C ed.
Intelligence Science IV - 5th IFIP TC 12 International Conference, ICIS 2022, Xi'an, China, October 28-31, 2022, Proceedings
ICIS
Zhongzhi Shi, Yaochu Jin, Xiangrong Zhang
2022 J jnl
Intelligent Computing: The Latest Advances, Challenges and Future.
CoRR
Shiqiang Zhu, Ting Yu, Tao Xu, Hongyang Chen, Schahram Dustdar, Sylvain Gigan, Deniz Gündüz, Ekram Hossain, Yaochu Jin, Feng Lin, Bo Liu, Zhiguo Wan, Ji Zhang, Zhifeng Zhao, Wentao Zhu, Zuoning Chen, Tariq Durrani, Huaimin Wang, Jiangxing Wu, Tongyi Zhang, Yunhe Pan
2022 J jnl
Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis.
IEEE Trans. Cybern.
Sutong Wang, Yunqiang Yin, Dujuan Wang, Yanzhang Wang, Yaochu Jin
2022 J jnl
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment.
CoRR
Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb
2022 J jnl
Real-Time Federated Evolutionary Neural Architecture Search.
IEEE Trans. Evol. Comput.
Hangyu Zhu, Yaochu Jin
2022 J jnl
Recent Advances in Bayesian Optimization.
CoRR
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2022 J jnl
Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Qiqi Liu, Ran Cheng, Yaochu Jin, Martin Heiderich, Tobias Rodemann
2022 A* conf
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning.
NeurIPS
Yitian Hong, Yaochu Jin, Yang Tang
2022 J jnl
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning.
CoRR
Yitian Hong, Yaochu Jin, Yang Tang
2022 J jnl
Searching for Robustness Intervals in Evolutionary Robust Optimization.
IEEE Trans. Evol. Comput.
Wei Du, Wenjiang Song, Yang Tang, Yaochu Jin, Feng Qian
2022 J jnl
Sparse-attentive meta temporal point process for clinical decision support.
Neurocomputing
Yajun Ru, Xihe Qiu, Xiaoyu Tan, Bin Chen, Yongbin Gao, Yaochu Jin
2022 J jnl
Surrogate-Assisted Multipopulation Particle Swarm Optimizer for High-Dimensional Expensive Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Yuanchao Liu, Jianchang Liu, Yaochu Jin
2022 J jnl
Surrogate-assisted evolutionary optimization of expensive many-objective irregular problems.
Knowl. Based Syst.
Qiqi Liu, Yaochu Jin, Martin Heiderich, Tobias Rodemann
2022 J jnl
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues.
CoRR
Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin
2022 J jnl
Ternary Compression for Communication-Efficient Federated Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jinjin Xu, Wenli Du, Yaochu Jin, Wangli He, Ran Cheng
2022 J jnl
Thematic issue on knowledge and data driven evolutionary multi-objective optimization.
Memetic Comput.
Ran Cheng, Jinliang Ding, Wenli Du, Yaochu Jin
2022 J jnl
Towards Fairness-Aware Multi-Objective Optimization.
CoRR
Guo Yu, Lianbo Ma, Wei Du, Wenli Du, Yaochu Jin
2022 J jnl
Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times.
Evol. Comput.
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2021 J jnl
A Coevolutionary Framework for Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput.
Ye Tian, Tao Zhang, Jianhua Xiao, Xingyi Zhang, Yaochu Jin
2021 J jnl
A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization.
IEEE Trans. Evol. Comput.
Shuai Wang, Jing Liu, Yaochu Jin
2021 J jnl
A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization.
CoRR
Jinjin Xu, Yaochu Jin, Wenli Du
2021 J jnl
A Federated Data-Driven Evolutionary Algorithm.
CoRR
Jinjin Xu, Yaochu Jin, Wenli Du, Sai Gu
2021 J jnl
A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Zhenshou Song, Handing Wang, Cheng He, Yaochu Jin
2021 J jnl
A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships.
IEEE Trans. Evol. Comput.
Guo Yu, Yaochu Jin, Markus Olhofer
2021 J jnl
A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput.
Ye Tian, Ruchen Liu, Xingyi Zhang, Haiping Ma, Kay Chen Tan, Yaochu Jin
2021 J jnl
A Self-Adaptive Response Strategy for Dynamic Multiobjective Evolutionary Optimization Based on Objective Space Decomposition.
Evol. Comput.
Ruochen Liu, Jianxia Li, Yaochu Jin, Licheng Jiao
2021 J jnl
A Survey of Deep Learning Applications to Autonomous Vehicle Control.
IEEE Trans. Intell. Transp. Syst.
Sampo Kuutti, Richard Bowden, Yaochu Jin, Phil Barber, Saber Fallah
2021 J jnl
A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts.
IEEE CAA J. Autom. Sinica
Yicun Hua, Qiqi Liu, Kuangrong Hao, Yaochu Jin
2021 J jnl
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A.
IEEE Trans. Evol. Comput.
Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao
2021 J jnl
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B.
IEEE Trans. Evol. Comput.
Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao
2021 J jnl
A fast constrained state transition algorithm.
Neurocomputing
Xiaojun Zhou, Jituo Tian, Jianpeng Long, Yaochu Jin, Guo Yu, Chunhua Yang
2021 J jnl
A federated data-driven evolutionary algorithm.
Knowl. Based Syst.
Jinjin Xu, Yaochu Jin, Wenli Du, Sai Gu
2021 J jnl
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification.
CoRR
Yan Xiao, Yaochu Jin, Kuangrong Hao
2021 J jnl
An interpretable deep neural network for colorectal polyp diagnosis under colonoscopy.
Knowl. Based Syst.
Sutong Wang, Yunqiang Yin, Dujuan Wang, Zehui Lv, Yanzhang Wang, Yaochu Jin
2021 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass
2021 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass
2021 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass
2021 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass
2021 J jnl
Distributed additive encryption and quantization for privacy preserving federated deep learning.
Neurocomputing
Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang, Jianting Ning
2021 J jnl
Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance.
IEEE Trans. Evol. Comput.
Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao
2021 J jnl
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs).
IEEE Trans. Cybern.
Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin
2021 J jnl
Federated Learning on Non-IID Data: A Survey.
CoRR
Hangyu Zhu, Jinjin Xu, Shiqing Liu, Yaochu Jin
2021 J jnl
Federated learning on non-IID data: A survey.
Neurocomputing
Hangyu Zhu, Jinjin Xu, Shiqing Liu, Yaochu Jin
2021 J jnl
Finding Influential Nodes in Multiplex Networks Using a Memetic Algorithm.
IEEE Trans. Cybern.
Shuai Wang, Jing Liu, Yaochu Jin
2021 J jnl
Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing.
IEEE Trans. Neural Networks Learn. Syst.
Feng Qian, Yaochu Jin, Si-Zhao Joe Qin, Kai Sundmacher
2021 J jnl
Information Maximization Clustering via Multi-View Self-Labelling.
CoRR
Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas
2021 J jnl
Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling.
IEEE Trans. Evol. Comput.
Shufen Qin, Chaoli Sun, Yaochu Jin, Ying Tan, Jonathan E. Fieldsend
2021 C conf
Multi-objective Evolutionary Federated Learning.
IoTBDS
Yaochu Jin
2021 J jnl
Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks.
CoRR
Jia Liu, Yaochu Jin
2021 J jnl
Multi-objective search of robust neural architectures against multiple types of adversarial attacks.
Neurocomputing
Jia Liu, Yaochu Jin
2021 J jnl
Non-dominated sorting on performance indicators for evolutionary many-objective optimization.
Inf. Sci.
Hao Wang, Chaoli Sun, Guochen Zhang, Jonathan E. Fieldsend, Yaochu Jin
2021 J jnl
Offline data-driven evolutionary optimization based on tri-training.
Swarm Evol. Comput.
Pengfei Huang, Handing Wang, Yaochu Jin
2021 J jnl
PIVODL: Privacy-preserving vertical federated learning over distributed labels.
CoRR
Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang
2021 J jnl
Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2021 B conf
Point AE-DCGAN: A deep learning model for 3D point cloud lossy geometry compression.
DCC
Jiacheng Xu, Zhijun Fang, Yongbin Gao, Siwei Ma, Yaochu Jin, Heng Zhou, Anjie Wang
2021 J jnl
Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics.
CoRR
Ye Tian, Xingyi Zhang, Cheng He, Kay Chen Tan, Yaochu Jin
2021 Misc conf
Regular echo state networks: simple and accurate reservoir models to real-world applications.
SAC
Lucas Z. Bissaro, Yaochu Jin, Murillo G. Carneiro
2021 J jnl
Regulated Morphogen Gradients for Target Surrounding and Adaptive Shape Formation.
IEEE Trans. Cogn. Dev. Syst.
Ataollah Ramezan Shirazi, Yaochu Jin
2021 J jnl
Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks.
IEEE Trans. Cybern.
Ye Tian, Chang Lu, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2021 J jnl
Solving Many-Objective Optimization Problems via Multistage Evolutionary Search.
IEEE Trans. Syst. Man Cybern. Syst.
Huangke Chen, Ran Cheng, Witold Pedrycz, Yaochu Jin
2021 J jnl
Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios.
IEEE Comput. Intell. Mag.
Handing Wang, Liang Feng, Yaochu Jin, John Doherty
2021 J jnl
Synergies between synaptic and intrinsic plasticity in echo state networks.
Neurocomputing
Xinjie Wang, Yaochu Jin, Kuangrong Hao
2021 J jnl
Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions.
Briefings Bioinform.
Huaming Chen, Fuyi Li, Lei Wang, Yaochu Jin, Chi-Hung Chi, Lukasz A. Kurgan, Jiangning Song, Jun Shen
2021 J jnl
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search.
CoRR
Guoyang Xie, Jinbao Wang, Guo Yu, Feng Zheng, Yaochu Jin
2021 — ch.
Toward Real-Time Federated Evolutionary Neural Architecture Search.
Automated Design of Machine Learning and Search Algorithms
Hangyu Zhu, Yaochu Jin
2021 J jnl
Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times.
CoRR
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2021 J jnl
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times.
Knowl. Based Syst.
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer, Richard Allmendinger
2021 J jnl
[Guest Editorial].
IEEE Comput. Intell. Mag.
Liang Feng, Handing Wang, Yew-Soon Ong, Kay Chen Tan, Yaochu Jin
2020 B conf
A Gated Recurrent Unit based Echo State Network.
IJCNN
Xinjie Wang, Yaochu Jin, Kuangrong Hao
2020 J jnl
A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks.
IEEE Trans. Cybern.
Xingyi Zhang, Kefei Zhou, Hebin Pan, Lei Zhang, Xiangxiang Zeng, Yaochu Jin
2020 J jnl
A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems.
IEEE Trans. Cybern.
Handing Wang, Yaochu Jin
2020 J jnl
A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks.
IEEE Trans. Artif. Intell.
Ye Tian, Shichen Peng, Xingyi Zhang, Tobias Rodemann, Kay Chen Tan, Yaochu Jin
2020 — conf
A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems.
PPSN (1)
Guoxia Fu, Chaoli Sun, Ying Tan, Guochen Zhang, Yaochu Jin
2020 J jnl
An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput.
Ye Tian, Xingyi Zhang, Chao Wang, Yaochu Jin
2020 J jnl
An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization.
Inf. Sci.
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2020 J jnl
An affinity propagation clustering based particle swarm optimizer for dynamic optimization.
Knowl. Based Syst.
Yuanchao Liu, Jianchang Liu, Yaochu Jin, Fei Li, Tianzi Zheng
2020 J jnl
An improved random forest-based rule extraction method for breast cancer diagnosis.
Appl. Soft Comput.
Sutong Wang, Yuyan Wang, Dujuan Wang, Yunqiang Yin, Yanzhang Wang, Yaochu Jin
2020 J jnl
Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization.
IEEE Trans. Cybern.
Guo Yu, Yaochu Jin, Markus Olhofer
2020 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2020 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2020 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2020 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2020 J jnl
Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation.
IEEE Trans. Neural Networks Learn. Syst.
Yang Chen, Xiaoyan Sun, Yaochu Jin
2020 J jnl
Decision-making and multi-objectivization for cost sensitive robust optimization over time.
Knowl. Based Syst.
Yuanjun Huang, Yaochu Jin, Kuangrong Hao
2020 J jnl
Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning.
CoRR
Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang, Jianting Ning
2020 B conf
EEG feature learning with Intrinsic Plasticity based Deep Echo State Network.
IJCNN
Rahma Fourati, Boudour Ammar, Yaochu Jin, Adel M. Alimi
2020 J jnl
Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer.
IEEE Trans. Cybern.
Ye Tian, Xiutao Zheng, Xingyi Zhang, Yaochu Jin
2020 — conf
Evaluating Automatically Generated YARA Rules and Enhancing Their Effectiveness.
SSCI
Nitin Naik, Paul Jenkins, Roger Cooke, Jonathan Gillett, Yaochu Jin
2020 J jnl
Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks.
IEEE Trans. Neural Networks Learn. Syst.
Xinjie Wang, Yaochu Jin, Kuangrong Hao
2020 J jnl
From Federated Learning to Federated Neural Architecture Search: A Survey.
CoRR
Hangyu Zhu, Haoyu Zhang, Yaochu Jin
2020 J jnl
Generation of Consistent Sets of Multi-Label Classification Rules with a Multi-Objective Evolutionary Algorithm.
CoRR
Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Yaochu Jin, Ricardo Cerri
2020 — conf
Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm.
GECCO Companion
Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Yaochu Jin, Ricardo Cerri
2020 J jnl
Guest Editorial Special Issue on Big Data and Computational Intelligence for Agile Wireless IoT.
IEEE Trans. Emerg. Top. Comput. Intell.
Celimuge Wu, Yaochu Jin, Jie Li, Kok-Lim Alvin Yau, Junaid Qadir
2020 J jnl
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling.
IEEE Trans. Cybern.
Ye Tian, Xingyi Zhang, Ran Cheng, Cheng He, Yaochu Jin
2020 B conf
HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction.
IJCNN
Huaming Chen, Yaochu Jin, Lei Wang, Chi-Hung Chi, Jun Shen
2020 J jnl
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction.
CoRR
Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao
2020 J jnl
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization.
CoRR
Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas
2020 J jnl
Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service.
IEEE Trans. Cybern.
Zhen Yang, Yongsheng Ding, Yaochu Jin, Kuangrong Hao
2020 J jnl
Incremental Data-driven Optimization of Complex Systems in Nonstationary Environments.
CoRR
Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai
2020 J jnl
Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems.
IEEE Trans. Fuzzy Syst.
Adam Slowik, Krzysztof Cpalka, Yaochu Jin
2020 J jnl
Language model based interactive estimation of distribution algorithm.
Knowl. Based Syst.
Yang Chen, Yaochu Jin, Xiaoyan Sun
2020 J jnl
Multi-Objective Evolutionary Federated Learning.
IEEE Trans. Neural Networks Learn. Syst.
Hangyu Zhu, Yaochu Jin
2020 J jnl
Multi-surrogate multi-tasking optimization of expensive problems.
Knowl. Based Syst.
Peng Liao, Chaoli Sun, Guochen Zhang, Yaochu Jin
2020 J jnl
Multiple-Solution Optimization Strategy for Multirobot Task Allocation.
IEEE Trans. Syst. Man Cybern. Syst.
Li Huang, Yongsheng Ding, MengChu Zhou, Yaochu Jin, Kuangrong Hao
2020 J jnl
Offline Data-Driven Multiobjective Optimization: Knowledge Transfer Between Surrogates and Generation of Final Solutions.
IEEE Trans. Evol. Comput.
Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai
2020 J jnl
Real-time Federated Evolutionary Neural Architecture Search.
CoRR
Hangyu Zhu, Yaochu Jin
2020 J jnl
Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm.
IEEE Comput. Intell. Mag.
Shuai Wang, Jing Liu, Yaochu Jin
2020 J jnl
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search.
CoRR
Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao
2020 J jnl
Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor.
IEEE Trans. Evol. Comput.
Yanan Sun, Handing Wang, Bing Xue, Yaochu Jin, Gary G. Yen, Mengjie Zhang
2020 — ch.
Surrogate-Assisted Evolutionary Optimization of Large Problems.
High-Performance Simulation-Based Optimization
Tinkle Chugh, Chaoli Sun, Handing Wang, Yaochu Jin
2020 J jnl
Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines.
Neurocomputing
Yan Zhou, Yaochu Jin, Jinliang Ding
2020 J jnl
Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding.
IEEE Trans. Evol. Comput.
Shuai Wang, Jing Liu, Yaochu Jin
2020 B conf
Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO.
CEC
Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin
2020 J jnl
Ternary Compression for Communication-Efficient Federated Learning.
CoRR
Jinjin Xu, Wenli Du, Ran Cheng, Wangli He, Yaochu Jin
2020 Misc conf
Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions.
PACBB
Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin
2020 A conf
Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times.
GECCO
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2020 J jnl
Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm.
Appl. Soft Comput.
Handing Wang, Yaochu Jin, Cuie Yang, Licheng Jiao
2019 J jnl
A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services.
IEEE Trans. Evol. Comput.
Zhen Yang, Yaochu Jin, Kuangrong Hao
2019 J jnl
A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Linqiang Pan, Cheng He, Ye Tian, Handing Wang, Xingyi Zhang, Yaochu Jin
2019 J jnl
A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts.
IEEE Trans. Cybern.
Yicun Hua, Yaochu Jin, Kuangrong Hao
2019 B conf
A Multi-indicator based Selection Strategy for Evolutionary Many-objective Optimization.
CEC
Hao Wang, Chaoli Sun, Yaochu Jin, Shufen Qin, Haibo Yu
2019 B conf
A New Selection Strategy for Decomposition-based Evolutionary Many-Objective Optimization.
CEC
Shufen Qin, Chaoli Sun, Yaochu Jin, Lier Lan, Ying Tan
2019 J jnl
A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Ye Tian, Ran Cheng, Xingyi Zhang, Yansen Su, Yaochu Jin
2019 J jnl
A Survey of Deep Learning Applications to Autonomous Vehicle Control.
CoRR
Sampo Kuutti, Richard Bowden, Yaochu Jin, Phil Barber, Saber Fallah
2019 J jnl
A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization.
Inf. Sci.
Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang, Yaochu Jin
2019 J jnl
A dynamic SVR-ARMA model with improved fruit fly algorithm for the nonlinear fiber stretching process.
Nat. Comput.
Fan Guo, Lihong Ren, Yaochu Jin, Yongsheng Ding
2019 J jnl
A hybrid instance-intensive workflow scheduling method in private cloud environment.
Nat. Comput.
Xin Ye, Jia Li, Sihao Liu, Jiwei Liang, Yaochu Jin
2019 J jnl
A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation.
Swarm Evol. Comput.
Qinqin Fan, Yaochu Jin, Weili Wang, Xuefeng Yan
2019 J jnl
A proactive scheduling approach to steel rolling process with stochastic machine breakdown.
Nat. Comput.
Dujuan Wang, Feng Liu, Yaochu Jin
2019 J jnl
A tree ensemble-based two-stage model for advanced-stage colorectal cancer survival prediction.
Inf. Sci.
Yuyan Wang, Dujuan Wang, Xin Ye, Yanzhang Wang, Yunqiang Yin, Yaochu Jin
2019 J jnl
Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation.
IEEE Trans. Evol. Comput.
Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin, Xin Yao
2019 B conf
Adaptation of Reference Vectors for Evolutionary Many-objective Optimization of Problems with Irregular Pareto Fronts.
CEC
Qiqi Liu, Yaochu Jin, Martin Heiderich, Tobias Rodemann
2019 — conf
An a priori knee identification multi-objective evolutionary algorithm based on
GECCO (Companion)
Guo Yu, Yaochu Jin, Markus Olhofer
2019 J jnl
An adaptive decomposition-based evolutionary algorithm for many-objective optimization.
Inf. Sci.
Dong Han, Wenli Du, Wei Du, Yaochu Jin, Chunping Wu
2019 — conf
Automated Selection of Evolutionary Multi-objective Optimization Algorithms.
SSCI
Ye Tian, Shichen Peng, Tobias Rodemann, Xingyi Zhang, Yaochu Jin
2019 — conf
Bayesian Approaches to Surrogate-Assisted Evolutionary Multi-objective Optimization: A Comparative Study.
SSCI
Shufen Qin, Chaoli Sun, Yaochu Jin, Guochen Zhang
2019 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2019 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2019 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2019 J jnl
CMSN: Continuous Multi-stage Network and Variable Margin Cosine Loss for Temporal Action Proposal Generation.
CoRR
Yushuai Hu, Yaochu Jin, Runhua Li, Xiangxiang Zhang
2019 J jnl
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation.
CoRR
Yang Chen, Xiaoyan Sun, Yaochu Jin
2019 J jnl
Data-Driven Evolutionary Optimization: An Overview and Case Studies.
IEEE Trans. Evol. Comput.
Yaochu Jin, Handing Wang, Tinkle Chugh, Dan Guo, Kaisa Miettinen
2019 J jnl
Diversity Assessment of Multi-Objective Evolutionary Algorithms: Performance Metric and Benchmark Problems [Research Frontier].
IEEE Comput. Intell. Mag.
Ye Tian, Ran Cheng, Xingyi Zhang, Miqing Li, Yaochu Jin
2019 J jnl
Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing.
IEEE Trans. Emerg. Top. Comput. Intell.
Jinliang Ding, Cuie Yang, Qiong Xiao, Tianyou Chai, Yaochu Jin
2019 J jnl
Echo state networks regulated by local intrinsic plasticity rules for regression.
Neurocomputing
Xinjie Wang, Yaochu Jin, Kuangrong Hao
2019 J jnl
Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs).
CoRR
Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin
2019 J jnl
Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns.
IEEE Trans. Cybern.
Yuyan Han, Dunwei Gong, Yaochu Jin, Quan-Ke Pan
2019 — conf
Evolutionary Optimization of Liquid State Machines for Robust Learning.
ISNN (1)
Yan Zhou, Yaochu Jin, Jinliang Ding
2019 — conf
Evolving Hyperparameters for Training Deep Neural Networks against Adversarial Attacks.
SSCI
Jia Liu, Yaochu Jin
2019 J jnl
Generalized Multitasking for Evolutionary Optimization of Expensive Problems.
IEEE Trans. Evol. Comput.
Jinliang Ding, Cuie Yang, Yaochu Jin, Tianyou Chai
2019 J jnl
Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization.
IEEE Trans. Emerg. Top. Comput. Intell.
Chaoli Sun, Handing Wang, Wenli Du, Yaochu Jin
2019 J jnl
Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems.
IEEE Trans. Cybern.
Dan Guo, Yaochu Jin, Jinliang Ding, Tianyou Chai
2019 J jnl
High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach.
IEEE Trans. Ind. Informatics
Wei Du, Weimin Zhong, Yang Tang, Wenli Du, Yaochu Jin
2019 — conf
Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions.
IEEE BigData
Huaming Chen, Lei Wang, Yaochu Jin, Chi-Hung Chi, Fucun Li, Huaiyuan Chu, Jun Shen
2019 J jnl
Identification of Interaction Clusters Using a Semi-supervised Hierarchical Clustering Method.
CoRR
Yu Chen, Yuanyuan Yang, Yaochu Jin, Xiufen Zou
2019 J jnl
Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems.
IEEE Trans. Cybern.
Miao Rong, Dunwei Gong, Yong Zhang, Yaochu Jin, Witold Pedrycz
2019 J jnl
Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization.
IEEE Trans. Cybern.
Xingguang Peng, Yaochu Jin, Handing Wang
2019 J jnl
Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems.
IEEE Trans. Evol. Comput.
Jie Tian, Ying Tan, Jianchao Zeng, Chaoli Sun, Yaochu Jin
2019 A conf
Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm.
GECCO
Tinkle Chugh, Tomas Kratky, Kaisa Miettinen, Yaochu Jin, Pekka Makkonen
2019 J jnl
Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes.
IEEE Trans Autom. Sci. Eng.
Cuie Yang, Jinliang Ding, Yaochu Jin, Chengzhi Wang, Tianyou Chai
2019 J jnl
Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles.
IEEE Trans. Evol. Comput.
Handing Wang, Yaochu Jin, Chaoli Sun, John Doherty
2019 J jnl
Particle swarm optimization for network-based data classification.
Neural Networks
Murillo G. Carneiro, Ran Cheng, Liang Zhao, Yaochu Jin
2019 B conf
References or Preferences - Rethinking Many-objective Evolutionary Optimization.
CEC
Guo Yu, Yaochu Jin, Markus Olhofer
2019 J jnl
Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection.
Appl. Soft Comput.
Yuyan Wang, Dujuan Wang, Na Geng, Yanzhang Wang, Yunqiang Yin, Yaochu Jin
2019 B conf
Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion.
CEC
Cheng He, Ran Cheng, Yaochu Jin, Xin Yao
2019 J jnl
To the special Issue on "Metaheuristics for optimization of complex process engineering".
Nat. Comput.
Jinliang Ding, Yaochu Jin
2019 B conf
Using PlatEMO to Solve Multi-Objective Optimization Problems in Applications: A Case Study on Feature Selection.
CEC
Ye Tian, Shangshang Yang, Xingyi Zhang, Yaochu Jin
2018 J jnl
A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin
2018 J jnl
A Generic Test Suite for Evolutionary Multifidelity Optimization.
IEEE Trans. Evol. Comput.
Handing Wang, Yaochu Jin, John Doherty
2018 B conf
A Method for a Posteriori Identification of Knee Points Based on Solution Density.
CEC
Guo Yu, Yaochu Jin, Markus Olhofer
2018 J jnl
A Particle Filter based Multi-Objective Optimization Algorithm: PFOPS.
CoRR
Bin Liu, Yaochu Jin
2018 J jnl
A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Tinkle Chugh, Yaochu Jin, Kaisa Miettinen, Jussi Hakanen, Karthik Sindhya
2018 J jnl
A competitive mechanism based multi-objective particle swarm optimizer with fast convergence.
Inf. Sci.
Xingyi Zhang, Xiutao Zheng, Ran Cheng, Jianfeng Qiu, Yaochu Jin
2018 J jnl
A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems.
Memetic Comput.
Chaoli Sun, Jinliang Ding, Jianchao Zeng, Yaochu Jin
2018 J jnl
A two-stage R2 indicator based evolutionary algorithm for many-objective optimization.
Appl. Soft Comput.
Fei Li, Ran Cheng, Jianchang Liu, Yaochu Jin
2018 J jnl
An Extended Reinforcement Learning Framework to Model Cognitive Development With Enactive Pattern Representation.
IEEE Trans. Cogn. Dev. Syst.
Zhenping Xie, Yaochu Jin
2018 J jnl
An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility.
IEEE Trans. Evol. Comput.
Ye Tian, Ran Cheng, Xingyi Zhang, Fan Cheng, Yaochu Jin
2018 J jnl
An improved support vector machine-based diabetic readmission prediction.
Comput. Methods Programs Biomed.
Shaoze Cui, Dujuan Wang, Yanzhang Wang, Pay-Wen Yu, Yaochu Jin
2018 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong
2018 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong
2018 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2018 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2018 J jnl
Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection.
Neurocomputing
Zhaomin Chen, Chai Kiat Yeo, Bu-Sung Lee, Chiew Tong Lau, Yaochu Jin
2018 J jnl
Feature selection for high-dimensional classification using a competitive swarm optimizer.
Soft Comput.
Shenkai Gu, Ran Cheng, Yaochu Jin
2018 J jnl
Guest Editorial Evolutionary Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Yaochu Jin, Kaisa Miettinen, Hisao Ishibuchi
2018 B conf
Hierarchical Surrogate-Assisted Evolutionary Multi-Scenario Airfoil Shape Optimization.
CEC
Handing Wang, John Doherty, Yaochu Jin
2018 J jnl
Incremental data-driven optimization of complex systems in nonstationary environments.
Sci. China Inf. Sci.
Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai
2018 J jnl
Morphogen diffusion algorithms for tracking and herding using a swarm of kilobots.
Soft Comput.
Hyondong Oh, Ataollah Ramezan Shirazi, Yaochu Jin
2018 J jnl
Multi-objective Evolutionary Federated Learning.
CoRR
Hangyu Zhu, Yaochu Jin
2018 J jnl
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.
Evol. Comput.
Chao Qian, Yang Yu, Ke Tang, Yaochu Jin, Xin Yao, Zhi-Hua Zhou
2018 B conf
Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems.
CEC
Ye Tian, Xiaoshu Xiang, Xingyi Zhang, Ran Cheng, Yaochu Jin
2018 A conf
Semi-supervised learning assisted particle swarm optimization of computationally expensive problems.
GECCO
Chaoli Sun, Yaochu Jin, Ying Tan
2018 J jnl
Surrogate-assisted hierarchical particle swarm optimization.
Inf. Sci.
Haibo Yu, Ying Tan, Jianchao Zeng, Chaoli Sun, Yaochu Jin
2017 J jnl
A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy.
IEEE Trans. Cybern.
Yiping Liu, Dunwei Gong, Jing Sun, Yaochu Jin
2017 J jnl
A Strategy for Self-Organized Coordinated Motion of a Swarm of Minimalist Robots.
IEEE Trans. Emerg. Top. Comput. Intell.
Ataollah Ramezan Shirazi, Yaochu Jin
2017 J jnl
A multi-objective approach to robust optimization over time considering switching cost.
Inf. Sci.
Yuanjun Huang, Yongsheng Ding, Kuangrong Hao, Yaochu Jin
2017 J jnl
A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling.
Comput. Oper. Res.
Dujuan Wang, Feng Liu, Yaochu Jin
2017 J jnl
A radial space division based evolutionary algorithm for many-objective optimization.
Appl. Soft Comput.
Cheng He, Ye Tian, Yaochu Jin, Xingyi Zhang, Linqiang Pan
2017 J jnl
A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps.
BMC Bioinform.
Jing Liu, Yaxiong Chi, Chen Zhu, Yaochu Jin
2017 J jnl
An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network.
CoRR
Joseph Chrol-Cannon, Yaochu Jin, André Grüning
2017 J jnl
An efficient method for online detection of polychronous patterns in spiking neural networks.
Neurocomputing
Joseph Chrol-Cannon, Yaochu Jin, André Grüning
2017 B conf
Augmented windows fuzzy firewall for preventing denial of service attack.
FUZZ-IEEE
Nitin Naik, Paul Jenkins, Roger Cooke, David Ball, Arthur Foster, Yaochu Jin
2017 J jnl
Bio-inspired self-organising multi-robot pattern formation: A review.
Robotics Auton. Syst.
Hyondong Oh, Ataollah Ramezan Shirazi, Chaoli Sun, Yaochu Jin
2017 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin
2017 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong
2017 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong
2017 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong
2017 J jnl
Classifier ensembles for image identification using multi-objective Pareto features.
Neurocomputing
Wissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa
2017 J jnl
Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems.
IEEE Trans. Cybern.
Handing Wang, Yaochu Jin, John Doherty
2017 — conf
Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization.
SSCI
Jie Tian, Chaoli Sun, Jianchao Zeng, Haibo Yu, Ying Tan, Yaochu Jin
2017 J jnl
Conference Report on 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) [Conference Reports].
IEEE Comput. Intell. Mag.
Yaochu Jin, Stefanos D. Kollias
2017 J jnl
Diversity Assessment in Many-Objective Optimization.
IEEE Trans. Cybern.
Handing Wang, Yaochu Jin, Xin Yao
2017 B conf
Efficient nonlinear correlation detection for decomposed search in evolutionary multi-objective optimization.
CEC
Handing Wang, Yaochu Jin
2017 J jnl
Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system.
Soft Comput.
Guangshun Yao, Yongsheng Ding, Yaochu Jin, Kuangrong Hao
2017 — conf
Enhancing classification of mass spectrometry imaging data with deep neural networks.
SSCI
Spencer Angus Thomas, Yaochu Jin, Josephine Bunch, Ian S. Gilmore
2017 J jnl
Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation.
IEEE Trans. Emerg. Top. Comput. Intell.
Ran Cheng, Tobias Rodemann, Michael Fischer, Markus Olhofer, Yaochu Jin
2017 C ed.
Evolutionary Multi-Criterion Optimization - 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings
EMO
Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret M. Wiecek, Yaochu Jin, Christian Grimme
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
Multi-train: A semi-supervised heterogeneous ensemble classifier.
Neurocomputing
Shenkai Gu, Yaochu Jin
2017 B conf
Nature-Inspired Graph Optimization for Dimensionality Reduction.
ICTAI
Murillo G. Carneiro, Thiago Henrique Cupertino, Ran Cheng, Yaochu Jin, Liang Zhao
2017 J jnl
Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes].
IEEE Comput. Intell. Mag.
Xingyi Zhang, Fuchen Duan, Lei Zhang, Fan Cheng, Yaochu Jin, Ke Tang
2017 J jnl
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum].
IEEE Comput. Intell. Mag.
Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin
2017 J jnl
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization.
CoRR
Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin
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 J jnl
Special issue on "Data-driven evolutionary optimization".
Soft Comput.
Yaochu Jin, Jinliang Ding
2017 J jnl
Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems.
IEEE Trans. Evol. Comput.
Chaoli Sun, Yaochu Jin, Ran Cheng, Jinliang Ding, Jianchao Zeng
2017 B conf
Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system.
CEC
Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Yaochu Jin, Tomas Kratky, Pekka Makkonen
2017 J jnl
Test Problems for Large-Scale Multiobjective and Many-Objective Optimization.
IEEE Trans. Cybern.
Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2017 J jnl
Thematic issue on "bio-inspired learning for data analysis".
Memetic Comput.
Yaochu Jin, Jinliang Ding, Yongsheng Ding
2017 — ed.
Towards Autonomous Robotic Systems - 18th Annual Conference, TAROS 2017, Guildford, UK, July 19-21, 2017, Proceedings
TAROS
Yang Gao, Saber Fallah, Yaochu Jin, Constantina Lekakou
2017 — conf
Two-stage assortative mating for multi-objective multifactorial evolutionary optimization.
CDC
Cuie Yang, Jinliang Ding, Kay Chen Tan, Yaochu Jin
2017 J jnl
User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm.
Knowl. Based Syst.
Xin Ye, Sihao Liu, Yanli Yin, Yaochu Jin
2016 J jnl
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2016 J jnl
A dynamic optimization approach to the design of cooperative co-evolutionary algorithms.
Knowl. Based Syst.
Xingguang Peng, Kun Liu, Yaochu Jin
2016 B conf
A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric.
CEC
Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin
2016 — conf
A self-adaptive similarity-based fitness approximation for evolutionary optimization.
SSCI
Jie Tian, Yin Tan, Chao-Li Sun, Jianchao Zeng, Yaochu Jin
2016 — conf
An adaptive model selection strategy for surrogate-assisted particle swarm optimization algorithm.
SSCI
Haibo Yu, Yin Tan, Chao-Li Sun, Jianchao Zeng, Yaochu Jin
2016 — conf
An ensemble of single multiplicative neuron models for probabilistic prediction.
SSCI
Ufuk Yolcu, Yaochu Jin, Erol Egrioglu
2016 — conf
An improved mini-batching technique: Sample-and-Learn.
SSCI
Andreas Antoniades, Clive Cheong Took, Yaochu Jin
2016 J jnl
Approximate non-dominated sorting for evolutionary many-objective optimization.
Inf. Sci.
Xingyi Zhang, Ye Tian, Yaochu Jin
2016 J jnl
CIS Publication Spotlight Publication Spotlight.
IEEE Comput. Intell. Mag.
Haibo He, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Yaochu Jin
2016 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Yaochu Jin
2016 J jnl
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag.
Haibo He, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Yaochu Jin
2016 — conf
Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms.
SSCI
Jussi Hakanen, Tinkle Chugh, Karthik Sindhya, Yaochu Jin, Kaisa Miettinen
2016 — conf
Data Driven Evolutionary Optimization of Complex Systems: Big Data Versus Small Data.
GECCO (Companion)
Yaochu Jin
2016 J jnl
Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System.
IEEE Trans. Evol. Comput.
Handing Wang, Yaochu Jin, Jan O. Jansen
2016 J jnl
Editorial IEEE Transactions on Cognitive and Developmental Systems.
IEEE Trans. Cogn. Dev. Syst.
Yaochu Jin
2016 — conf
Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization.
SSCI
Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin
2016 — conf
Evolutionary Computation and Big Data: Key Challenges and Future Directions.
DMBD
Shi Cheng, Bin Liu, Yuhui Shi, Yaochu Jin, Bin Li
2016 J jnl
Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time.
Appl. Soft Comput.
Yuyan Han, Dunwei Gong, Yaochu Jin, Quan-Ke Pan
2016 — conf
Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems.
GECCO (Companion)
Chao-Li Sun, Yaochu Jin, Jinliang Ding, Jianchao Zeng
2016 J jnl
Immune-inspired self-adaptive collaborative control allocation for multi-level stretching processes.
Inf. Sci.
Yongsheng Ding, Tao Zhang, Lihong Ren, Yaochu Jin, Kuangrong Hao, Lei Chen
2016 B conf
Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection.
CEC
Hongmei He, Ashutosh Tiwari, Jörn Mehnen, Tim Watson, Carsten Maple, Yaochu Jin, Bogdan Gabrys
2016 J jnl
Modeling neural plasticity in echo state networks for classification and regression.
Inf. Sci.
Mohd-Hanif Yusoff, Joseph Chrol-Cannon, Yaochu Jin
2016 B conf
Network structural optimization based on swarm intelligence for highlevel classification.
IJCNN
Murillo G. Carneiro, Liang Zhao, Ran Cheng, Yaochu Jin
2016 A conf
On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization.
PPSN
Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Jussi Hakanen, Yaochu Jin
2016 — conf
Preface from IEEE SSCI 2016 general chairs.
SSCI
Yaochu Jin, Stefanos D. Kollias
2016 J jnl
Reduction strategies for hierarchical multi-label classification in protein function prediction.
BMC Bioinform.
Ricardo Cerri, Rodrigo C. Barros, André C. P. L. F. de Carvalho, Yaochu Jin
2016 B conf
Reference point based prediction for evolutionary dynamic multiobjective optimization.
CEC
Yaochu Jin, Cuie Yang, Jinliang Ding, Tianyou Chai
2016 — conf
Small data driven evolutionary multi-objective optimization of fused magnesium furnaces.
SSCI
Dan Guo, Tianyou Chai, Jinliang Ding, Yaochu Jin
2016 — conf
Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization.
GECCO (Companion)
Alma As-Aad Rahat, Richard M. Everson, Jonathan E. Fieldsend, Yaochu Jin, Handing Wang
2016 B conf
The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence.
CEC
Hongmei He, Carsten Maple, Tim Watson, Ashutosh Tiwari, Jörn Mehnen, Yaochu Jin, Bogdan Gabrys
2016 J jnl
μ JADE: adaptive differential evolution with a small population.
Soft Comput.
Craig Brown, Yaochu Jin, Matthew Leach, Martin Hodgson
2015 J jnl
A Competitive Swarm Optimizer for Large Scale Optimization.
IEEE Trans. Cybern.
Ran Cheng, Yaochu Jin
2015 J jnl
A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Xingyi Zhang, Ye Tian, Yaochu Jin
2015 J jnl
A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling.
IEEE Trans. Evol. Comput.
Ran Cheng, Yaochu Jin, Kaname Narukawa, Bernhard Sendhoff
2015 J jnl
A cytokine network-inspired cooperative control system for multi-stage stretching processes in fiber production.
Soft Comput.
Tao Zhang, Yaochu Jin, Yongsheng Ding, Kuangrong Hao
2015 J jnl
A directed search strategy for evolutionary dynamic multiobjective optimization.
Soft Comput.
Yan Wu, Yaochu Jin, Xiaoxiong Liu
2015 J jnl
A knowledge-based evolutionary proactive scheduling approach in the presence of machine breakdown and deterioration effect.
Knowl. Based Syst.
Dujuan Wang, Feng Liu, Yanzhang Wang, Yaochu Jin
2015 J jnl
A social learning particle swarm optimization algorithm for scalable optimization.
Inf. Sci.
Ran Cheng, Yaochu Jin
2015 J jnl
A two-layer surrogate-assisted particle swarm optimization algorithm.
Soft Comput.
Chaoli Sun, Yaochu Jin, Jianchao Zeng, Yang Yu
2015 — conf
Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts.
EMO (1)
Ran Cheng, Yaochu Jin, Kaname Narukawa
2015 J jnl
An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin
2015 J jnl
An endocrine-based intelligent distributed cooperative algorithm for target tracking in wireless sensor networks.
Soft Comput.
Yanling Jin, Yongsheng Ding, Kuangrong Hao, Yaochu Jin
2015 — conf
Ensemble Learning Optimization for Diabetic Retinopathy Image Analysis.
VISAPP (1)
Hanan S. Alghamdi, Lilian Tang, Yaochu Jin
2015 J jnl
Evolutionary Multiobjective Image Feature Extraction in the Presence of Noise.
IEEE Trans. Cybern.
Wissam A. Albukhanajer, Johann A. Briffa, Yaochu Jin
2015 — conf
Evolutionary Optimization of complex Systems in Uncertain Environments.
IFSA-EUSFLAT
Yaochu Jin
2015 J jnl
Evolutionary non-linear modelling for selecting vaccines against antigenically variable viruses.
Bioinform.
Tameera Rahman, Mana Mahapatra, Emma Laing, Yaochu Jin
2015 — conf
General chairs and program chairs message.
TAAI
I-Chen Wu, Chang-Shing Lee, Shun-Chin Hsu, Vincenzo Loia, Yaochu Jin, Chuan-Kang Ting, Shi-Jim Yen, Yung-Gi Wu, Mong-Fong Horng, Chuen-Liang Chen
2015 J jnl
Learning structure of sensory inputs with synaptic plasticity leads to interference.
Frontiers Comput. Neurosci.
Joseph Chrol-Cannon, Yaochu Jin
2015 J jnl
Multi-objective ensemble generation.
WIREs Data Mining Knowl. Discov.
Shenkai Gu, Ran Cheng, Yaochu Jin
2015 B conf
New performance indicators for robust optimization over time.
CEC
Yuanjun Huang, Yaochu Jin, Yongsheng Ding
2015 B conf
Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization.
CEC
Ran Cheng, Markus Olhofer, Yaochu Jin
2015 — conf
Scalable Model based Evolutionary Multi-objective Optimization.
IJCCI (ECTA)
Yaochu Jin
2015 J jnl
Self-organized swarm robot for target search and trapping inspired by bacterial chemotaxis.
Robotics Auton. Syst.
Bin Yang, Yongsheng Ding, Yaochu Jin, Kuangrong Hao
2015 J jnl
Special issue on UKCI 2013.
Soft Comput.
Yaochu Jin
2015 B conf
Trade-off between computational complexity and accuracy in evolutionary image feature extraction.
CEC
Wissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa
2014 J jnl
A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Cybern.
Aimin Zhou, Yaochu Jin, Qingfu Zhang
2014 — conf
Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks.
TAROS
Hyondong Oh, Yaochu Jin
2014 J jnl
Computational Intelligence in Big Data [Guest Editorial].
IEEE Comput. Intell. Mag.
Yaochu Jin, Barbara Hammer
2014 J jnl
Computational modeling of neural plasticity for self-organization of neural networks.
Biosyst.
Joseph Chrol-Cannon, Yaochu Jin
2014 B conf
Demonstrator selection in a social learning particle swarm optimizer.
IEEE Congress on Evolutionary Computation
Ran Cheng, Yaochu Jin
2014 J jnl
Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction.
Neurocomputing
Christopher Smith, Yaochu Jin
2014 B conf
Evolving hierarchical gene regulatory networks for morphogenetic pattern formation of swarm robots.
IEEE Congress on Evolutionary Computation
Hyondong Oh, Yaochu Jin
2014 — conf
Generating diverse and accurate classifier ensembles using multi-objective optimization.
MCDM
Shenkai Gu, Yaochu Jin
2014 J jnl
IEEE CIS VP-Technical Activities Vision Statement [Society Briefs].
IEEE Comput. Intell. Mag.
Yaochu Jin
2014 — conf
Modeling neural plasticity in echo state networks for time series prediction.
UKCI
Mohd-Hanif Yusoff, Yaochu Jin
2014 — conf
Morphogenetic Self-Organization of Collective Movement without Directional Sensing.
TAROS
Ataollah Ramezan Shirazi, Hyondong Oh, Yaochu Jin
2014 B conf
Multi-objective evolutionary recurrent neural network ensemble for prediction of computational fluid dynamic simulations.
IEEE Congress on Evolutionary Computation
Christopher Smith, John Doherty, Yaochu Jin
2014 B conf
Neural network ensembles for image identification using Pareto-optimal features.
IEEE Congress on Evolutionary Computation
Wissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa
2014 A conf
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.
PPSN
Chao Qian, Yang Yu, Yaochu Jin, Zhi-Hua Zhou
2014 J jnl
Reconstructing biological gene regulatory networks: where optimization meets big data.
Evol. Intell.
Spencer Angus Thomas, Yaochu Jin
2014 B conf
Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems.
IEEE Congress on Evolutionary Computation
Tong Liu, Chaoli Sun, Jianchao Zeng, Songdong Xue, Yaochu Jin
2014 — ed.
Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings
SEAL
Grant Dick, Will N. Browne, Peter A. Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang
2013 C conf
A Comparative Study of Multi-objective Evolutionary Trace Transform Methods for Robust Feature Extraction.
EMO
Wissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa, Godfried Williams
2013 J jnl
A New Surrogate-Assisted Interactive Genetic Algorithm With Weighted Semisupervised Learning.
IEEE Trans. Cybern.
Xiaoyan Sun, Dunwei Gong, Yaochu Jin, Shanshan Chen
2013 J jnl
A framework for finding robust optimal solutions over time.
Memetic Comput.
Yaochu Jin, Ke Tang, Xin Yu, Bernhard Sendhoff, Xin Yao
2013 J jnl
A morphogenetic approach to flexible and robust shape formation for swarm robotic systems.
Robotics Auton. Syst.
Yan Meng, Hongliang Guo, Yaochu Jin
2013 B conf
A multi-swarm evolutionary framework based on a feedback mechanism.
IEEE Congress on Evolutionary Computation
Ran Cheng, Chaoli Sun, Yaochu Jin
2013 J jnl
A new fitness estimation strategy for particle swarm optimization.
Inf. Sci.
Chaoli Sun, Jianchao Zeng, Jeng-Shyang Pan, Songdong Xue, Yaochu Jin
2013 A conf
An evolution strategy assisted by an ensemble of local Gaussian process models.
GECCO
Jianfeng Lu, Bin Li, Yaochu Jin
2013 J jnl
An examination of different fitness and novelty based selection methods for the evolution of neural networks.
Soft Comput.
Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter, Bernhard Sendhoff
2013 J jnl
An improved (μ + λ)-constrained differential evolution for constrained optimization.
Inf. Sci.
Guanbo Jia, Yong Wang, Zixing Cai, Yaochu Jin
2013 J jnl
Evolution by Adapting Surrogates.
Evol. Comput.
Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Yaochu Jin, Bernhard Sendhoff
2013 B conf
Evolutionary truss layout optimization using the vectorized structure approach.
IEEE Congress on Evolutionary Computation
Ayang Xiao, Benli Wang, Yaochu Jin
2013 J jnl
Evolving Connectivity between Genetic oscillators and Switches using Evolutionary Algorithms.
J. Bioinform. Comput. Biol.
Spencer Angus Thomas, Yaochu Jin
2013 C conf
Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient.
IDEAL
Lili Zhuang, Ke Tang, Yaochu Jin
2013 — conf
Morphogenetic self-organisation of swarm robots for adaptive pattern formation.
ICAC
Yaochu Jin
2013 — conf
Reconstructing regulatory networks in Streptomyces using evolutionary algorithms.
UKCI
Spencer Angus Thomas, Yaochu Jin, Emma Laing, Colin P. Smith
2013 — conf
Recurrent neural network ensembles for convergence prediction in surrogate-assisted evolutionary optimization.
CIDUE
Colin P. Smith, John Doherty, Yaochu Jin
2013 — conf
Similarity-based evolution control for fitness estimation in particle swarm optimization.
CIDUE
Chaoli Sun, Jianchao Zeng, Jeng-Shyang Pan, Yaochu Jin
2013 — conf
Simulating swarm behaviuors for optimisation by learning from neighbours.
UKCI
Ran Cheng, Yaochu Jin
2013 C conf
Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators.
EMO
Spencer Angus Thomas, Yaochu Jin
2012 J jnl
A Developmental Approach to Structural Self-Organization in Reservoir Computing.
IEEE Trans. Auton. Ment. Dev.
Jun Yin, Yan Meng, Yaochu Jin
2012 J jnl
A Hierarchical Gene Regulatory Network for Adaptive Multirobot Pattern Formation.
IEEE Trans. Syst. Man Cybern. Part B
Yaochu Jin, Hongliang Guo, Yan Meng
2012 J jnl
A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design.
IEEE Comput. Intell. Mag.
Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2012 J jnl
A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage.
ACM Trans. Auton. Adapt. Syst.
Hongliang Guo, Yaochu Jin, Yan Meng
2012 J jnl
Calcium control of triphasic hippocampal STDP.
J. Comput. Neurosci.
Daniel Bush, Yaochu Jin
2012 C conf
Combining genetic oscillators and switches using evolutionary algorithms.
CIBCB
Spencer Angus Thomas, Yaochu Jin
2012 — conf
Evo-devo-robo workshop program.
GECCO (Companion)
Stéphane Doncieux, Yaochu Jin, Jean-Baptiste Mouret
2012 J jnl
Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration.
Artif. Life
Lisa Schramm, Yaochu Jin, Bernhard Sendhoff
2012 B conf
Evolutionary multi-objective optimization of trace transform for invariant feature extraction.
IEEE Congress on Evolutionary Computation
Wissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa, Godfried Williams
2012 J jnl
Evolving neural fields for problems with large input and output spaces.
Neural Networks
Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter
2012 — conf
Heterogeneous classifier ensembles for EEG-based motor imaginary detection.
UKCI
Shenkai Gu, Yaochu Jin
2012 — ch.
Morphogenetic Robotics: A New Paradigm for Designing Self-Organizing, Self-Reconfigurable and Self-Adaptive Robots.
Morphogenetic Engineering, Toward Programmable Complex Systems
Yaochu Jin, Yan Meng
2012 C conf
Quantitative analysis of redundancy in evolution of developmental systems.
CIBCB
Lisa Schramm, Yaochu Jin, Bernhard Sendhoff
2012 B conf
The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities.
IJCNN
Joseph Chrol-Cannon, André Grüning, Yaochu Jin
2012 J jnl
¿¿2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2012) [Conference Reports].
IEEE Comput. Intell. Mag.
Yaochu Jin
2011 J jnl
Autonomous Self-Reconfiguration of Modular Robots by Evolving a Hierarchical Mechanochemical Model.
IEEE Comput. Intell. Mag.
Yan Meng, Yuyang Zhang, Yaochu Jin
2011 — book
Bio-Inspired Self-Organizing Robotic Systems
Bio-Inspired Self-Organizing Robotic Systems
Yan Meng, Yaochu Jin
2011 — conf
Combining Particle Swarm Optimisation with Genetic Algorithm for Contextual Analysis of Medical Images.
HEALTHINF
Jonathan Goh, Lilian Tang, Lutfiah Al Turk, Yaochu Jin
2011 A* conf
Cross-Ball: A new morphogenetic self-reconfigurable modular robot.
ICRA
Yan Meng, Yuyang Zhang, Abhay Sampath, Yaochu Jin, Bernhard Sendhoff
2011 J jnl
Emergence of robust regulatory motifs from in silico evolution of sustained oscillation.
Biosyst.
Yaochu Jin, Yan Meng
2011 — conf
Evolution of Multisensory Integration in Large Neural Fields.
Artificial Evolution
Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter
2011 — conf
Exploiting inherent regularity in control of multilegged robot locomotion by evolving neural fields.
NaBIC
Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter
2011 J jnl
Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development.
IEEE Trans. Auton. Ment. Dev.
Yaochu Jin, Yan Meng, Juyang Weng, Nikola K. Kasabov
2011 J jnl
Guest Editorial: Special Issue on Evolving Developmental Systems.
IEEE Trans. Evol. Comput.
Andy M. Tyrrell, Yaochu Jin
2011 J jnl
Modeling Activity-Dependent Plasticity in BCM Spiking Neural Networks With Application to Human Behavior Recognition.
IEEE Trans. Neural Networks
Yan Meng, Yaochu Jin, Jun Yin
2011 — ch.
Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems.
Bio-Inspired Self-Organizing Robotic Systems
Yaochu Jin, Yan Meng
2011 J jnl
Morphogenetic Robotics: An Emerging New Field in Developmental Robotics.
IEEE Trans. Syst. Man Cybern. Part C
Yaochu Jin, Yan Meng
2011 — ch.
Morphogenetic Self-Reconfiguration of Modular Robots.
Bio-Inspired Self-Organizing Robotic Systems
Yan Meng, Yaochu Jin
2011 — conf
Morphogenetic self-organization of collective systems.
OC@ICAC
Yaochu Jin
2011 J jnl
Multi-sensor optimal H
Neural Networks
Meiqin Liu, Senlin Zhang, Yaochu Jin
2011 J jnl
Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways.
Neurocomputing
Yuhua Zheng, Yan Meng, Yaochu Jin
2011 C conf
Redundancy creates opportunity in developmental representations.
ALIFE
Lisa Schramm, Yaochu Jin, Bernhard Sendhoff
2011 J jnl
Surrogate-assisted evolutionary computation: Recent advances and future challenges.
Swarm Evol. Comput.
Yaochu Jin
2011 A* conf
Swarm robot pattern formation using a morphogenetic multi-cellular based self-organizing algorithm.
ICRA
Hongliang Guo, Yan Meng, Yaochu Jin
2010 C conf
A Morphogenetic Approach to Self-Reconfigurable Modular Robots using a Hybrid Hierarchical Gene Regulatory Network.
ALIFE
Yan Meng, Yuyang Zhang, Yaochu Jin
2010 C conf
A fitness-independent evolvability measure for evolutionary developmental systems.
CIBCB
Yaochu Jin, Jens Trommler
2010 C conf
Analysis of Gene Regulatory Network Motifs in Evolutionary Development of Multicellular Organisms.
ALIFE
Lisa Schramm, Vander Valente Martins, Yaochu Jin, Bernhard Sendhoff
2010 B conf
Analysis of local communication load in shape formation of a distributed morphogenetic swarm robotic system.
IEEE Congress on Evolutionary Computation
Hongliang Guo, Yan Meng, Yaochu Jin
2010 J jnl
Distributed Multi-Agent Systems for a Collective Construction Task based on Virtual Swarm Intelligence.
Int. J. Swarm Intell. Res.
Yan Meng, Yaochu Jin
2010 — conf
Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat.
SAB
Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao
2010 A conf
Evolving heterochrony for cellular differentiation using vector field embryogeny.
GECCO
Till Steiner, Yaochu Jin, Bernhard Sendhoff
2010 B conf
Fusing bottom-up and top-down pathways in neural networks for visual object recognition.
IJCNN
Yuhua Zheng, Yan Meng, Yaochu Jin
2010 J jnl
Generalizing Surrogate-Assisted Evolutionary Computation.
IEEE Trans. Evol. Comput.
Dudy Lim, Yaochu Jin, Yew-Soon Ong, Bernhard Sendhoff
2010 B conf
Human activity detection using spiking neural networks regulated by a gene regulatory network.
IJCNN
Yan Meng, Yaochu Jin, Jun Yin, Matthew Conforth
2010 B conf
Incremental approximation of nonlinear constraint functions for evolutionary constrained optimization.
IEEE Congress on Evolutionary Computation
Yaochu Jin, Sanghoun Oh, Moongu Jeon
2010 A conf
NEATfields: evolution of neural fields.
GECCO
Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter
2010 B conf
Robust optimization over time - A new perspective on dynamic optimization problems.
IEEE Congress on Evolutionary Computation
Xin Yu, Yaochu Jin, Ke Tang, Xin Yao
2010 J jnl
Special Issue on Evolutionary and Developmental Robotics [Guest Editorial].
IEEE Comput. Intell. Mag.
Yaochu Jin, Yan Meng
2009 J jnl
A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network.
Biosyst.
Hongliang Guo, Yan Meng, Yaochu Jin
2009 J jnl
A systems approach to evolutionary multiobjective structural optimization and beyond.
IEEE Comput. Intell. Mag.
Yaochu Jin, Bernhard Sendhoff
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 J jnl
Balancing Population- and Individual-Level Adaptation in Changing Environments.
Adapt. Behav.
Ingo Paenke, Yaochu Jin, Jürgen Branke
2009 J jnl
Corrections to "Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies" [May 08 397-415].
IEEE Trans. Syst. Man Cybern. Part C
Yaochu Jin, Bernhard Sendhoff
2009 — conf
Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats.
ECAL (1)
Lisa Schramm, Yaochu Jin, Bernhard Sendhoff
2009 — conf
Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations.
MCDM
Yaochu Jin, Robin Gruna, Ingo Paenke, Bernhard Sendhoff
2009 J jnl
Evolving gene regulatory networks.
Biosyst.
Yaochu Jin, Jennifer Hallinan
2009 — ch.
Fuzzy Logic in Evolving in silicoOscillatory Dynamics for Gene Regulatory Networks.
Fuzzy Systems in Bioinformatics and Computational Biology
Yaochu Jin, Bernhard Sendhoff
2009 — book
Fuzzy Systems in Bioinformatics and Computational Biology
Fuzzy Systems in Bioinformatics and Computational Biology
Yaochu Jin, Lipo Wang
2009 B conf
Global shape with morphogen gradients and motile polarized cells.
IEEE Congress on Evolutionary Computation
Till Steiner, Jens Trommler, Martin Brenn, Yaochu Jin, Bernhard Sendhoff
2009 C conf
Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks.
ALIFE
Yaochu Jin, Yan Meng, Bernhard Sendhoff
2009 J jnl
Lamarckian memetic algorithms: local optimum and connectivity structure analysis.
Memetic Comput.
Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2009 J jnl
Pareto analysis of evolutionary and learning systems.
Frontiers Comput. Sci. China
Yaochu Jin, Robin Gruna, Bernhard Sendhoff
2009 — conf
Robustness Analysis and Failure Recovery of a Bio-Inspired Self-Organizing Multi-Robot System.
SASO
Yaochu Jin, Hongliang Guo, Yan Meng
2009 C conf
Self-adaptive multi-robot construction using gene regulatory networks.
ALIFE
Hongliang Guo, Yan Meng, Yaochu Jin
2009 — conf
The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism.
ECAL (1)
Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao
2008 — conf
A Gene Regulatory Model for the Development of Primitive Nervous Systems.
ICONIP (1)
Yaochu Jin, Lisa Schramm, Bernhard Sendhoff
2008 A conf
A cellular model for the evolutionary development of lightweight material with an inner structure.
GECCO
Till Steiner, Yaochu Jin, Bernhard Sendhoff
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 — conf
Evolution of Neural Organization in a Hydra-Like Animat.
ICONIP (1)
Ben Jones, Yaochu Jin, Xin Yao, Bernhard Sendhoff
2008 — conf
Evolutionary Optimization with Dynamic Fidelity Computational Models.
ICIC (2)
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2008 C conf
Evolving Functional Symmetry in a Three Dimensional Model of an Elongated Organism.
ALIFE
Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao
2008 B conf
Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifs.
IEEE Congress on Evolutionary Computation
Yaochu Jin, Bernhard Sendhoff
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
Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies.
IEEE Trans. Syst. Man Cybern. Part C
Yaochu Jin, Bernhard Sendhoff
2008 — conf
Pareto-optimality is everywhere: From engineering design, machine learning, to biological systems.
GEFS
Yaochu Jin
2008 B conf
Prediction of convergence dynamics of design performance using differential recurrent neural networks.
IJCNN
Yi Cao, Yaochu Jin, Michal Kowalczykiewicz, Bernhard Sendhoff
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
Real-World Applications of Multiobjective Optimization.
Multiobjective Optimization
Theodor J. Stewart, Oliver Bandte, Heinrich Braun, Nirupam Chakraborti, Matthias Ehrgott, Mathias Göbelt, Yaochu Jin, Hirotaka Nakayama, Silvia Poles, Danilo Di Stefano
2008 — ch.
Rule Extraction from Compact Pareto-optimal Neural Networks.
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
Yaochu Jin, Bernhard Sendhoff, Edgar Körner
2008 B conf
Toward a gene regulatory network model for evolving chemotaxis behavior.
IEEE Congress on Evolutionary Computation
Neale Samways, Yaochu Jin, Xin Yao, Bernhard Sendhoff
2007 A conf
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation.
GECCO
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2007 B conf
Adaptivemodelling strategy for continuous multi-objective optimization.
IEEE Congress on Evolutionary Computation
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff
2007 J jnl
Efficient Hierarchical Parallel Genetic Algorithms using Grid computing.
Future Gener. Comput. Syst.
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee
2007 B conf
Emergence of feedback in artificial gene regulatory networks.
IEEE Congress on Evolutionary Computation
Till Steiner, Lisa Schramm, Yaochu Jin, Bernhard Sendhoff
2007 — book
Evolutionary Computation in Dynamic and Uncertain Environments
Shengxiang Yang, Yew-Soon Ong, Yaochu Jin
2007 — conf
Evolutionary Multi-objective Optimization of Spiking Neural Networks.
ICANN (1)
Yaochu Jin, Ruojing Wen, Bernhard Sendhoff
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 — ch.
Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization.
Evolutionary Computation in Dynamic and Uncertain Environments
Lars Gräning, Yaochu Jin, Bernhard Sendhoff
2007 — conf
On the Influence of Phenotype Plasticity on Genotype Diversity.
FOCI
Ingo Paenke, Jürgen Branke, Yaochu Jin
2007 C conf
Pareto-based Multi-Objective Machine Learning.
HIS
Yaochu Jin
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 — ch.
Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty.
Evolutionary Computation in Dynamic and Uncertain Environments
Dudy Lim, Yew-Soon Ong, Meng-Hiot Lim, Yaochu Jin
2006 — ch.
Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems.
Multi-Objective Machine Learning
Hanli Wang, Sam Kwong, Yaochu Jin, Chi-Ho Tsang
2006 B conf
Alleviating Catastrophic Forgetting via Multi-Objective Learning.
IJCNN
Yaochu Jin, Bernhard Sendhoff
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 J jnl
Editorial to special issue on evolutionary computation in dynamic and uncertain environments.
Genet. Program. Evolvable Mach.
Shengxiang Yang, Yew-Soon Ong, Yaochu Jin
2006 J jnl
Efficient search for robust solutions by means of evolutionary algorithms and fitness approximation.
IEEE Trans. Evol. Comput.
Ingo Paenke, Jürgen Branke, Yaochu Jin
2006 B conf
Generalization Improvement in Multi-Objective Learning.
IJCNN
Lars Gräning, Yaochu Jin, Bernhard Sendhoff
2006 J jnl
Inverse multi-objective robust evolutionary design.
Genet. Program. Evolvable Mach.
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee
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
2006 — book
Multi-Objective Machine Learning
Yaochu Jin
2006 — ch.
Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers.
Multi-Objective Machine Learning
Yaochu Jin, Bernhard Sendhoff, Edgar Körner
2006 B conf
Trusted Evolutionary Algorithm.
IEEE Congress on Evolutionary Computation
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2005 J jnl
A comprehensive survey of fitness approximation in evolutionary computation.
Soft Comput.
Yaochu Jin
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 B conf
A new approach to dynamics analysis of genetic algorithms without selection.
Congress on Evolutionary Computation
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
2005 J jnl
Agent-based evolutionary approach for interpretable rule-based knowledge extraction.
IEEE Trans. Syst. Man Cybern. Part C
Hanli Wang, Sam Kwong, Yaochu Jin, Wei Wei, Kim-Fung Man
2005 — ed.
Applications of Evolutionary Computing, EvoWorkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Lausanne, Switzerland, March 30 - April 1, 2005, Proceedings
EvoWorkshops
Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, David W. Corne, Rolf Drechsler, Yaochu Jin, Penousal Machado, Elena Marchiori, Juan Romero, George D. Smith, Giovanni Squillero
2005 B conf
Co-evolutionary modular neural networks for automatic problem decomposition.
Congress on Evolutionary Computation
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing
2005 B conf
Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study.
ESANN
Lars Gräning, Yaochu Jin, Bernhard Sendhoff
2005 C conf
Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations.
EMO
Yaochu Jin, Bernhard Sendhoff, Edgar Körner
2005 J jnl
Evolutionary optimization in uncertain environments-a survey.
IEEE Trans. Evol. Comput.
Yaochu Jin, Jürgen Branke
2005 — ed.
Fuzzy Systems and Knowledge Discovery, Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I
FSKD (1)
Lipo Wang, Yaochu Jin
2005 — ed.
Fuzzy Systems and Knowledge Discovery, Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II
FSKD (2)
Lipo Wang, Yaochu Jin
2005 J jnl
Guest Editorial.
Soft Comput.
Yaochu Jin, Sushil J. Louis, Khaled Rasheed
2005 J jnl
Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction.
Fuzzy Sets Syst.
Hanli Wang, Sam Kwong, Yaochu Jin, Wei Wei, Kim-Fung Man
2005 — conf
On Evolutionary Optimization of Large Problems Using Small Populations.
ICNC (2)
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2005 J jnl
Structure optimization of neural networks for evolutionary design optimization.
Soft Comput.
Michael Hüsken, Yaochu Jin, Bernhard Sendhoff
2005 B conf
Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies.
Congress on Evolutionary Computation
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
2004 — ed.
Applications of Evolutionary Computing, EvoWorkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Coimbra, Portugal, April 5-7, 2004, Proceedings
EvoWorkshops
Günther R. Raidl, Stefano Cagnoni, Jürgen Branke, David Corne, Rolf Drechsler, Yaochu Jin, Colin G. Johnson, Penousal Machado, Elena Marchiori, Franz Rothlauf, George D. Smith, Giovanni Squillero
2004 — conf
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept.
EvoWorkshops
Yaochu Jin, Bernhard Sendhoff
2004 B conf
Neural network regularization and ensembling using multi-objective evolutionary algorithms.
IEEE Congress on Evolutionary Computation
Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff
2004 A conf
On Test Functions for Evolutionary Multi-objective Optimization.
PPSN
Tatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2004 — conf
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles.
GECCO (1)
Yaochu Jin, Bernhard Sendhoff
2004 B conf
Voronoi-based estimation of distribution algorithm for multi-objective optimization.
IEEE Congress on Evolutionary Computation
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff, Markus Olhofer
2003 B conf
A critical survey of performance indices for multi-objective optimisation.
IEEE Congress on Evolutionary Computation
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
2003 — book
Advanced fuzzy systems design and applications.
Yaochu Jin
2003 B conf
Comparative studies on micro heat exchanger optimisation.
IEEE Congress on Evolutionary Computation
Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin, Bernhard Sendhoff
2003 B conf
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization.
IEEE Congress on Evolutionary Computation
Lars Willmes, Thomas Bäck, Yaochu Jin, Bernhard Sendhoff
2003 B conf
Connectedness, regularity and the success of local search in evolutionary multi-objective optimization.
IEEE Congress on Evolutionary Computation
Yaochu Jin, Bernhard Sendhoff
2003 B conf
Evolutionary multi-objective optimisation with a hybrid representation.
IEEE Congress on Evolutionary Computation
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
2003 J jnl
Extracting Interpretable Fuzzy Rules from RBF Networks.
Neural Process. Lett.
Yaochu Jin, Bernhard Sendhoff
2003 A conf
Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis.
GECCO
Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff
2003 C conf
Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach.
EMO
Yaochu Jin, Bernhard Sendhoff
2002 J jnl
A framework for evolutionary optimization with approximate fitness functions.
IEEE Trans. Evol. Comput.
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2002 A conf
Fitness Approximation In Evolutionary Computation - a Survey.
GECCO
Yaochu Jin, Bernhard Sendhoff
2002 A conf
Incorporation Of Fuzzy Preferences Into Evolutionary Multiobjective Optimization.
GECCO
Yaochu Jin, Bernhard Sendhoff
2002 — —
Knowledge in evolutionary and learning systems.
Yaochu Jin
2002 A conf
On The Dynamics Of Evolutionary Multi-objective Optimization.
GECCO
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
2001 C conf
Adapting Weighted Aggregation for Multiobjective Evolution Strategies.
EMO
Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff
2001 B conf
Adaptive encoding for aerodynamic shape optimization using evolution strategies.
CEC
Markus Olhofer, Yaochu Jin, Bernhard Sendhoff
2001 B conf
Managing approximate models in evolutionary aerodynamic design optimization.
CEC
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2000 J jnl
Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement.
IEEE Trans. Fuzzy Syst.
Yaochu Jin
2000 A conf
On Evolutionary Optimization with Approximate Fitness Functions.
GECCO
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
1999 J jnl
Evaluating flexible fuzzy controllers via evolution strategies.
Fuzzy Sets Syst.
Yaochu Jin, Werner von Seelen
1999 J jnl
Knowledge Incorporation into Neural Networks From Fuzzy Rules.
Neural Process. Lett.
Yaochu Jin, Bernhard Sendhoff
1999 J jnl
On generating FC
IEEE Trans. Syst. Man Cybern. Part B
Yaochu Jin, Werner von Seelen, Bernhard Sendhoff
1998 J jnl
Decentralized adaptive fuzzy control of robot manipulators.
IEEE Trans. Syst. Man Cybern. Part B
Yaochu Jin
1995 J jnl
Neural network based fuzzy identification and its application to modeling and control of complex systems.
IEEE Trans. Syst. Man Cybern.
Yaochu Jin, Jingping Jiang, Jing Zhu