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ORCIDGuo Yu 0001
Person information
- affiliation: East China University of Science and Technology, Shanghai, China
- affiliation (former): Nanjing Tech University, China
Other persons with the same name
- Guo Yu — disambiguation page
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2020 – today
- 2024
[j23]Nan Li
, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin:
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues. ACM Comput. Surv. 56(2): 41:1-41:34 (2024)- [j22]Lianbo Ma, Haidong Kang, Guo Yu, Qing Li, Qiang He:
Single-Domain Generalized Predictor for Neural Architecture Search System. IEEE Trans. Computers 73(5): 1400-1413 (2024) - [j21]Hengmin Zhang, Bihan Wen, Zhiyuan Zha, Bob Zhang, Yang Tang, Guo Yu, Wenli Du:
Accelerated PALM for Nonconvex Low-Rank Matrix Recovery With Theoretical Analysis. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2304-2317 (2024) - [j20]Wanting Zhang, Wei Du, Guo Yu, Renchu He, Wenli Du, Yaochu Jin:
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1567-1581 (2024) - [c7]Lianbo Ma, Yuee Zhou, Jianlun Ma, Guo Yu, Qing Li:
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training. AAAI 2024: 14246-14254 - [i6]Wanting Zhang, Wei Du, Guo Yu, Renchu He, Wenli Du, Yaochu Jin:
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling. CoRR abs/2401.10274 (2024) - [i5]Lianbo Ma, Yuee Zhou, Jianlun Ma, Guo Yu, Qing Li:
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training. CoRR abs/2401.16760 (2024) - 2023
- [j19]Nan Li, Lianbo Ma, TieJun Xing, Guo Yu, Chen Wang, Yingyou Wen, Shi Cheng, Shangce Gao:
Automatic design of machine learning via evolutionary computation: A survey. Appl. Soft Comput. 143: 110412 (2023) - [j18]Yunning Yang, Renchu He, Guo Yu, Wei Du, Minglei Yang, Wenli Du:
Efficient rolling horizon approach to a crude oil scheduling problem for marine-access refineries. Comput. Chem. Eng. 170: 108121 (2023) - [j17]Xi Zhang, Guo Yu, Yaochu Jin, Feng Qian:
An adaptive Gaussian process based manifold transfer learning to expensive dynamic multi-objective optimization. Neurocomputing 538: 126212 (2023) - [j16]Xi Zhang, Guo Yu, Yaochu Jin, Feng Qian:
Elitism-based transfer learning and diversity maintenance for dynamic multi-objective optimization. Inf. Sci. 636: 118927 (2023) - [j15]Guo Yu, Yaochu Jin, Markus Olhofer, Qiqi Liu, Wenli Du:
Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis. IEEE Trans. Cybern. 53(4): 2480-2493 (2023) - [j14]Lianbo Ma, Yang Liu, Guo Yu, Xinzhe Wang, Hongwei Mo, Gai-Ge Wang, Yaochu Jin, Ying Tan:
Decomposition-Based Multiobjective Optimization for Variable-Length Mixed-Variable Pareto Optimization and Its Application in Cloud Service Allocation. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 7138-7151 (2023) - 2022
- [j13]Dong Han, Wenli Du, Yaochu Jin, Wei Du, Guo Yu:
A fuzzy constraint handling technique for decomposition-based constrained multi- and many-objective optimization. Inf. Sci. 597: 318-340 (2022) - [j12]Qiqi Liu, Yaochu Jin, Martin Heiderich, Tobias Rodemann, Guo Yu:
An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems. IEEE Trans. Cybern. 52(5): 2698-2711 (2022) - [j11]Guo Yu, Lianbo Ma, Yaochu Jin, Wenli Du, Qiqi Liu, Hengmin Zhang:
A Survey on Knee-Oriented Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 26(6): 1452-1472 (2022) - [c6]Wanting Zhang, Wei Du, Guo Yu, Renchu He, Wenli Du:
Large-scale crude oil scheduling: A framework of hybrid optimization based on plan decomposition. CEC 2022: 1-8 - [i4]Guo Yu, Lianbo Ma, Wei Du, Wenli Du, Yaochu Jin:
Towards Fairness-Aware Multi-Objective Optimization. CoRR abs/2207.12138 (2022) - [i3]Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin:
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues. CoRR abs/2208.10658 (2022) - 2021
- [j10]Xiaojun Zhou, Jituo Tian, Jianpeng Long, Yaochu Jin, Guo Yu, Chunhua Yang:
A fast constrained state transition algorithm. Neurocomputing 455: 202-214 (2021) - [j9]Guo Yu, Yaochu Jin, Markus Olhofer:
A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships. IEEE Trans. Evol. Comput. 25(1): 145-158 (2021) - [i2]Guoyang Xie, Jinbao Wang, Guo Yu, Feng Zheng, Yaochu Jin:
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search. CoRR abs/2103.00363 (2021) - [i1]Lianbo Ma, Nan Li, Guo Yu, Xiaoyu Geng, Min Huang, Xingwei Wang:
How to Simplify Search: Classification-wise Pareto Evolution for One-shot Neural Architecture Search. CoRR abs/2109.07582 (2021) - 2020
- [j8]Guo Yu, Yaochu Jin, Markus Olhofer:
Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization. IEEE Trans. Cybern. 50(8): 3531-3544 (2020)
2010 – 2019
- 2019
- [j7]Hui Bai, Jinhua Zheng, Guo Yu, Shengxiang Yang, Juan Zou:
A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation. Inf. Sci. 478: 186-207 (2019) - [c5]Guo Yu, Yaochu Jin, Markus Olhofer:
References or Preferences - Rethinking Many-objective Evolutionary Optimization. CEC 2019: 2410-2417 - [c4]Guo Yu, Yaochu Jin, Markus Olhofer:
An a priori knee identification multi-objective evolutionary algorithm based on α-dominance. GECCO (Companion) 2019: 241-242 - 2018
- [j6]Juan Zou, Liuwei Fu, Jinhua Zheng, Shengxiang Yang, Guo Yu, Yaru Hu:
A many-objective evolutionary algorithm based on rotated grid. Appl. Soft Comput. 67: 596-609 (2018) - [c3]Guo Yu, Yaochu Jin, Markus Olhofer:
A Method for a Posteriori Identification of Knee Points Based on Solution Density. CEC 2018: 1-8 - [c2]Zhanglu Hou, Shengxiang Yang, Juan Zou, Jinhua Zheng, Guo Yu, Gan Ruan:
A Performance Indicator for Reference-Point-Based Multiobjective Evolutionary Optimization. SSCI 2018: 1571-1578 - 2017
- [j5]Jinhua Zheng, Guo Yu, Qiaofeng Zhu, Xiaodong Li, Juan Zou:
On decomposition methods in interactive user-preference based optimization. Appl. Soft Comput. 52: 952-973 (2017) - [j4]Gan Ruan, Guo Yu, Jinhua Zheng, Juan Zou, Shengxiang Yang:
The effect of diversity maintenance on prediction in dynamic multi-objective optimization. Appl. Soft Comput. 58: 631-647 (2017) - [j3]Guo Yu, Ruimin Shen, Jinhua Zheng, Miqing Li, Juan Zou, Yuan Liu:
Binary search based boundary elimination selection in many-objective evolutionary optimization. Appl. Soft Comput. 60: 689-705 (2017) - [j2]Jianjie Hu, Guo Yu, Jinhua Zheng, Juan Zou:
A preference-based multi-objective evolutionary algorithm using preference selection radius. Soft Comput. 21(17): 5025-5051 (2017) - 2016
- [j1]Guo Yu, Jinhua Zheng, Ruimin Shen, Miqing Li:
Decomposing the user-preference in multiobjective optimization. Soft Comput. 20(10): 4005-4021 (2016) - 2015
- [c1]Guo Yu, Jinhua Zheng, Xiaodong Li:
An improved performance metric for multiobjective evolutionary algorithms with user preferences. CEC 2015: 908-915
Coauthor Index
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last updated on 2024-04-29 20:32 CEST by the dblp team
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