Preprint   (* indicates the corresponding author.)

• G. Yu, F. Chang, L. Ma, F. Hao, "FCA-G: formal concept analysis based grouping approach to large-scale global optimization," 2023, submitted. Code

• Jinrong Qi, Mingguang Zhang, Guo Yu, Cuimei Bo, Analysis and Intelligent Prediction of Domino Effect Accidents in Chemical Storage Tanks with a Focus on Accident Chain Length, submitted，2024.

• Xiangyu Zeng, G. Yu*, Yu Wang, Cuimei Bo∗, Quanling Zhang, Multi-objective operation optimization of the acrylic acid refining process considering economic benefits and carbon reduction, submitted，2024.

• 曾祥宇, 薄翠梅*, 喻果*, 张泉灵, 基于自适应采集函数的丙烯酸生产过程代理模型, 控制理论与应用, 2024.

• Chao Jiang, Weimin Zhong, G. Yu*, Xin Peng, Dayu Tan, Zhi Li, Minxue Kong, Quality-Related Probabilistic Slow Feature Extraction for Semisupervised Inferential Modeling with Incomplete Data, submitted, 2023.

• Lianbo Ma, Nan Li, Guo Yu, Xiaojie An, Yanan Sun, Bing Xue, Mengjie Zhang, "Learning to Rank: Efficient Listwise Rank Predictor for Evolutionary Neural Architecture Search", 2023. ready for submit.

• Shida Gao, Cuimei Bo, Guo Yu, Quanling Zhang, Genke Yanga, Jian Chu, "Economic-carbon emission multi-objective optimization of operating parameters in dimethyl oxalate synthesis process", Journal of Cleaner Production, 2024. submit.

• Chao Jiang, Lin Shi, Cheng Yang, Zehui Song, Guo Yu*, "Transferable Adversarial Long Sequence Analysis for Few-shot Multi-step Quality Prediction in Coal-to-Ethylene Glycol Process" , submitted, 2024.

• Haidong Kang, Lianbo Ma, Yuee Zhou, Pengjun Chen, Guo Yu, Xingwei Wang, Yaochu Jin, "Overcome Performance Collapse of Differentiable Architecture Search From Information Bottleneck Perspective" , Preparing, 2024.

• Lianbo Ma, Ying Qian, Guo Yu, Zhetao Li, Liang Wang, Qing Li, Xingwei Wang, and Guangjie Han, "TBCIM: Two-Level Blockchain-Aided Edge Resource Allocation Mechanism for Federated Learning Service Market" , Preparing, 2024.

• Qian Ying; Ma Lianbo; Wang Liang; Guo Yu; Zheng Meng; Huang Min; Li Qing, "UOIM: Online Incentive Design for Fair Hierarchical Federated Learning and Unlearning in Edge Computing" , Submitted, 2024.

• Lianbo Ma, Yuee Zhou, Ye Ma, Guo Yu*, Qing Li, Qiang He, and Yan Pei, "Defying Multi-model Forgetting in One-shot Neural Architecture Search Using Orthogonal Gradient Learning", IEEE Transactions on Computers, Submitted, 2024.

Journal Papers

• G. Yu, L. Ma, Y. Jin*, W. Du*, Q. Liu and H. Zhang, "A Survey on Knee-oriented Multi-objective Evolutionary Optimization," in IEEE Transactions on Evolutionary Computation, vol. 26, no. 6, pp. 1452-1472, Dec. 2022, doi: 10.1109/TEVC.2022.3144880.

• G. Yu, Y. Jin*, M. Olhofer, Q. Liu and W. Du, "Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis," in IEEE Transactions on Cybernetics, vol. 53, no. 4, pp. 2480-2493, April 2023, doi: 10.1109/TCYB.2021.3125071. Code

• G. Yu, Y. Jin*, M. Olhofer, "A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships," in IEEE Transactions on Evolutionary Computation, vol. 25, no. 1, pp. 145-158, Feb. 2021, doi: 10.1109/TEVC.2020.3008877. Code

• G. Yu, Y. Jin*, M. Olhofer, "Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization," in IEEE Transactions on Cybernetics, vol. 50, no. 8, pp. 3531-3544, Aug. 2020, doi: 10.1109/TCYB.2019.2894664. Code

• Lianbo Ma, Yang Liu, G. Yu*, Xinzhe Wang, Hongwei Mo, Gai-Ge Wang, Yaochu Jin, Ying Tan, "Decomposition-based multiobjective optimization for variable-Length mixed-variable Pareto optimization and its application in cloud service allocation," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, DOI 10.1109/TSMC.2023.3295371. Code

• Lianbo Ma, Nan Li, Guo Yu*, Xiaoyu Geng, Shi Cheng, Xingwei Wang, Min Huang, Yaochu Jin, "Pareto-wise Ranking Classifier for Multi-objective Evolutionary Neural Architecture Search", in IEEE Transactions on Evolutionary Computation, 2023, DOI: 10.1109/TEVC.2023.3314766

• G. Yu, L. Ma, W. Du, Chao Jiang, Quanling Zhang, "Transferable preference learning in multi-objective decision analysis and its application to hydrocracking " Complex & Intelligent Systems, 2024. doi:10.1007/s40747-024-01537-6.

• G. Yu, L. Ma, Xilu Wang, W. Du, W. Du, Y. Jin, "Toward Fairness-Aware Multi-Objective Optimization" Complex & Intelligent Systems, Volume 11, article number 50, (2025).

• G. Yu, Dongjie Zhang, Hailong Deng, Chao Jiang, Quanling Zhang, "Operation Optimization of Multiphase Pollutant Treatment Considering Carbon Emissions," in IEEE Access，2024. doi: 10.1109/ACCESS.2024.3410325

• G. Yu, R. Shen, J. Zheng*, M. Li, J. Zou, Y. Liu, "Binary search based boundary elimination selection in many-objective evolutionary optimization," in Applied Soft Computing, vol. 60, pp. 689-705, 2017, https://doi.org/10.1016/j.asoc.2017.07.030.

• G. Yu, J. Zheng*, R. Shen, M. Li, "Decomposing the user-preference in multiobjective optimization," in Soft Computing, vol. 20, no. 10, pp. 4005–4021, 2016, https://doi.org/10.1007/s00500-015-1736-z. Code

• J. Zheng, G. Yu*, Q. Zhu, X. Li, J. Zou, "On decomposition methods in interactive user-preference based optimization," in Applied Soft Computing, vol. 52, pp. 952-973, 2017, https://doi.org/10.1016/j.asoc.2016.09.032.

• Ma Lianbo, Kang Haidong, Guo Yu*, Li Qing, He Qiang, "Single-Domain Generalized Predictor for Neural Architecture Search System", in IEEE Transactions on Computers , vol. 73, no. 5, pp. 1400-1413, May 2024, doi: 10.1109/TC.2024.3365949.

• 郑金华, 喻果*, 贾月. 基于权重迭代的偏好多目标分解算法解决参考点对算法影响的研究[J]. 电子学报, 2016, 44(1): 67-76 https://doi.org/10.3969/j.issn.0372-2112.2016.01.011

  J. Zheng, G. Yu*, Y. Jia, "Research on MOEA/D based on user-preference and alternate weight to solve the effect of reference point on multi-objective algorithms," in Acta Electronica Sinica, vol. 44, no. 1, pp. 67-76, 2016, DOI: 10.3969/j.issn.0372-2112.2016.01.011.

• X. Zhang, G. Yu*, Y. Jin, F. Qian, "Elitism-based Transfer Learning and Diversity Maintenance Strategies for Dynamic Multi-objective Optimization," Information Science, 2023, Volume 636, July 2023, 118927. https://doi.org/10.1016/j.ins.2023.04.006

• X. Zhang, G. Yu*, Y. Jin, F. Qian, "An Adaptive Kriging Model Based Manifold Transfer Learning to Expensive Dynamic Multi-Objective Optimization," Neurocomputing , 2023, Volume 538, 14 June 2023, 126212. https://doi.org/10.1016/j.neucom.2023.03.073. .

• Jian Cheng, Tian Zhang, Shuang Zhang, Huimin Ren, Guo Yu*, Xiliang Zhang, and Shangce Gao, and Lianbo Ma, "A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction", IEEE Transactions on Emerging Topics in Computational Intelligence, 2024. doi: 10.1109/TETCI.2024.3406440.

• X. Quan, N. Zhang, G. Yu*, Q. Liu, L. Ma, "Prediction of air leakage rate of sintering furnace based on BP neural network optimized by PSO," Wireless Communications and Mobile Computing , vol. 2022, Article ID 5631787, 9 pages, 2022. https://doi.org/10.1155/2022/5631787. Code

• N. Li, L. Ma*,G. Yu, Bing Xue, Mengjie Zhang, Yaochu Jin "Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues" ACM Computing Survey, 2023.

• S. Liu, N. Zhang, G. Yu*, "Lightweight Security Wear detection method based on YOLOv5," Wireless Communications and Mobile Computing , vol. 2022, Article ID 1319029, 14 pages, 2022. https://doi.org/10.1155/2022/1319029. Code

• G. Ruan, G. Yu*, J. Zheng, J. Zou, S. Yang, "The effect of diversity maintenance on prediction in dynamic multi-objective optimization," in Applied Soft Computing, vol. 58, pp. 631-647, 2017, https://doi.org/10.1016/j.asoc.2017.05.008.

• W. Zhang, W. Du, G. Yu, R. He, Y. Jin, W. Du, "Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling," IEEE Transactions on Emerging Topics in Computational Intelligence, 2024. doi: 10.1109/TETCI.2024.3353590.

• Wenxuan Fang, Wei Du, Guo Yu, Renchu He, and Yaochu Jin, "Preference Prediction-based Evolutionary Multi-objective Optimization for Gasoline Blending Scheduling", IEEE Transactions on Artificial Intelligence, Accepted,2024.

• Lianbo Ma, Nan Li, Peican Zhu, Keke Tang, Asad Khan, Feng Wang, G. Yu, "A Novel Fuzzy Neural Network Architecture Search Framework for Defect Recognition with Uncertainties," IEEE Transactions on Fuzzy Systems, 2024. doi: 10.1109/TFUZZ.2024.3373792.

• Hengmin Zhang, Bihan Wen, Zhiyuan Zha, Bob Zhang, Yang Tang, G. Yu, Wenli Du, "Accelerated PALM for Nonconvex Low-rank Matrix Recovery with Theoretical Analysis," IEEE Transactions on Circuits and Systems for Video Technology, Accepted, 2023.

• Cheng Yang, Chao Jiang, G. Yu, Jun Li, and Cuimei Bo, "APSF-Net: A Deep Adversarial Slow Feature Extraction Network for Industrial Inferential Modeling," Control Engineering Practice, Control Engineering Practice, 2024, 147: 105934.

• Cheng Yang, Chao Jiang, G. Yu, Jun Li, Cuimei Bo, "Transferable Adversarial Slow Feature Extraction Network for Few-Shot Quality Prediction in Coal-to-Ethylene Glycol Process", Chinese Journal of Chemical Engineering, 2024, ISSN 1004-9541

• Rui Ding, Xiaoping Zhou, Dayu Tan, Yansen Su, Chao Jiang, Guo Yu, Chunhou Zheng, "A Deep Multi-Branch Attention Model for Histopathological Breast Cancer Image Classification," in Complex & Intelligent Systems, 2024. https://doi.org/10.1007/s40747-024-01398-z

• Nan Li, Lianbo Ma, Tiejun Xing, G. Yu, Chen Wang, Yingyou Wen, Shi Cheng, Shangce Gao, "Automatic design of machine learning via evolutionary computation: A survey," Applied Soft Computing, Available online 18 May 2023, 110412. https://doi.org/10.1016/j.asoc.2023.110412

• G. Xie, J. Wang, G. Yu, Jiayi Lyu, F. Zheng, Y. Jin, "Tiny adversarial mulit-objective oneshot neural architecture search," Complex & Intelligent System, 2023. https://doi.org/10.1007/s40747-023-01139-8

• Qiqi Liu, Yuping Yan, Yaochu Jin, Xilu Wang, Peter Ligeti, Guo Yu, Xueming Yan, "Secure Federated Evolutionary Optimization—A Survey," Engineering, 7 December 2023. https://doi.org/10.1016/j.eng.2023.10.006

• Yunning Yang, Renchu He, G. Yu, Wei Du, Minglei Yang, Wenli Du, "Efficient rolling horizon approach to a crude oil scheduling problem for marine-access refineries," in Computers & Chemical Engineering, 2023, 108121, ISSN 0098-1354,.

• D. han, W. Du, Y. Jin, W. Du, G. Yu, "A fuzzy constraint handling technique for decomposition-based constrained multi- and many-objective optimization," in Information Science, vol. 597, pp.318-340, June 2022, https://doi.org/10.1016/j.ins.2022.03.030.

• Q. Liu, Y. Jin, M. Heiderich, T. Rodemann, G. Yu, "An adaptive reference vector-guided evolutionary algorithm using growing neural gas for many-objective optimization of irregular problems," in IEEE Transactions on Cybernetics, Oct. 2020, DOI: 10.1109/TCYB.2020.3020630.

• X. Zhou, J. Tian, J. Long, Y. Jin, G. Yu, C. Yang, "A fast constrained state transition algorithm," in Neurocomputing, vol.455, pp.202-214, 2021, https://doi.org/10.1016/j.neucom.2021.05.053.

• J. Hu, G. Yu, J. Zheng, J. Zou, "A preference-based multi-objective evolutionary algorithm using preference selection radius," in Soft Computing, vol. 21, pp. 5025–5051, 2017, https://doi.org/10.1007/s00500-016-2099-9.

• H. Bai, J. Zheng, G. Yu, S. Yang, J. Zou, "A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation," in Information Sciences, vol. 478, pp. 186-207, 2019, https://doi.org/10.1016/j.ins.2018.10.027.

• J. Zou, L. Fu, J. Zheng, S. Yang, G. Yu, Y. Hu, "A many-objective evolutionary algorithm based on rotated grid," in Applied Soft Computing, vol. 478, pp. 186-207, 2019, https://doi.org/10.1016/j.asoc.2018.02.031.

• 刘元, 郑金华*, 邹娟, 喻果. 基于邻域竞赛的多目标优化算法. 自动化学报, 2018, 44(7): 1304-1320. doi: 10.16383/j.aas.2017.c160315

  Y. liu, J. Zheng, J. Zou, G. Yu, "An evolutionary algorithm through neighborhood competition for multi-objective optimization," in Acta Electronica Sinica, vol. 44, no. 7, pp. 1304-1320, 2018, http://www.aas.net.cn/cn/article/doi/10.16383/j.aas.2017.c160315.

• 王帅发,郑金华*,胡建杰,邹娟,喻果.自适应偏好半径划分区域的多目标进化方法.软件学报,2017,28(10):2704-2721

  S. Wang, J. Zheng, J. Hu, J. Zou, G. Yu, "Multi-objective evolutionary algorithm for adaptive preference radius to divide region," in Journal of Software, vol. 28, no. 10, pp. 2704-2721, 2017, http://www.jos.org.cn/jos/article/abstract/5307.

Conference Papers

• Kaifang Long, Lianbo Ma, Yang Gao, Guo Yu, "Feature Stacking Fusion in Multimodal Neural Architecture Search", 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS), Hangzhou, China, 2024, pp. 414-419, doi: 10.1109/DOCS63458.2024.10704481.

• Jingxuan Zhang, Guo Yu*, Cuimei Bo, Jun Li, "Data-driven dynamic modeling and fault diagnosis of dimethyl oxalate industrial production process", 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS), Hangzhou, China, 2024, pp. 250-255, doi: 10.1109/DOCS63458.2024.10704444.

• 江超, 喻果*, 谭大禹, 基于切换概率慢特征提取的加氢裂化过程推断建模,2023中国化工学会年会，2023.（*优秀论文*）

• Ma L, Zhou Y, Ma J, Yu G. *, Li Q. One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training, //Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38. *Suppmentary material*

• Yang Liu, G. Yu, Jian Chen, Chao Jiang, Xinzhe Wang, Lianbo Ma, Transferable Preference Learning Assist Multi-Objective Decision Analysis for Hydrocracking, 2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS), Tianjin, China, 2023, pp. 1-8, doi: 10.1109/DOCS60977.2023.10294748.

• G. Yu, Wenli Du, "Interactive and interpretable knee point-driven multiobjective optimization for multiobjective decision making," in Proceedings of Chinese Automation Congress (CAC), Beijing, China, 2021, pp. 3168-3173, doi: 10.1109/CAC53003.2021.9727710.

• G. Yu, Y. Jin and M. Olhofer, "References or Preferences – Rethinking Many-objective Evolutionary Optimization," in Proceedings of 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, 2019, pp. 2410-2417.

• G. Yu, Y. Jin and M. Olhofer, "A Method for a Posteriori Identification of Knee Points Based on Solution Density," in Proceedings of 2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, 2018, pp. 1-8.

• G. Yu, Y. Jin and M. Olhofer, "An a priori knee identification multi-objective evolutionary algorithm based on α-dominance," in Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO), July 2019, pp. 241–242.

• G. Yu, J. Zheng, and X. Li, "An improved performance metric for multiobjective evolutionary algorithms with user preferences," in Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC), Sendai, Japan, 2015, pp. 908-915.

• Z Hou, S Yang, J Zou, J Zheng, G. Yu, G Ruan, "A performance indicator for reference-point-based multiobjective evolutionary optimization," in Proceedings of 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, India, 2018, pp. 1571-1578.

• W. Zhang, W. Du, G. Yu, R. He, W. Du, "Large-scale crude oil scheduling: A framework of hybrid optimization based on plan decomposition," 2022 IEEE Congress on Evolutionary Computation (CEC), 2022, pp. 1-8, doi: 10.1109/CEC55065.2022.9870364..

专利

• 杜文莉; 堵威; 何仁初; 喻果; 钟伟民; 钱锋 ; 一种基于原油调合模型的原油调度方案优化方法, 2022-09-30, 中国, CN202211208919.0.

• 喻果；江超；杨澄；薄翠梅；一种用于煤制乙二醇过程的小样本质量预测方法，2023, 中国.CN202311298880.0.

• 喻果；江超；杨澄；薄翠梅；一种基于深度对抗慢特征提取网络的化工过程推断建模方法，2023, 中国, CN202311364399.7.

标准

• DB32／T+4681—2024污染源视频监控系统建设规范[S]. 江苏省市场监督管理局. 2024-03-35.

软著

• 张登峰; 赵寿冬; 张泉灵; 喻果; 魏萃; 建筑用螺纹钢价格预测工业APPV1.0, 2023-04-25, 2023SR0503117.

• 张登峰; 丁祥龙; 常璐璐; 张泉灵; 喻果; 乙苯-苯乙烯精馏质量管控工业APPV1.0，2023-06-26, 2023SR0721959.

教改论文

• 喻果，江超，薄翠梅，李俊， 危化品应急管理多学科人才培养探索 [J]. 市场调查信息,2024(1):140-142.

• 喻果，江超，薄翠梅，张泉灵，《自控类专业写作》课程思政研究与实践[J]. 新时代教育, 2024(1):91-93.

Extended Abstract

• G. Yu, Wenli Du, "An Application of Localized Knee-Oriented Multi-objective Algorithm on Hybrid Electric Vehicle Controller Design Problem," in Chinese Control Conference (CCC), Extended Abstract, Anhui, China, 2022.