Guo Yu

49 papers A* 2B 4Journal 41Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction.
IEEE Trans. Emerg. Top. Comput. Intell.
Jian Cheng, Tian Zhang, Shuang Zhang, Huimin Ren, Guo Yu, Xiliang Zhang, Shangce Gao, Lianbo Ma
2025 J jnl
Defying Multi-Model Forgetting in One-Shot Neural Architecture Search Using Orthogonal Gradient Learning.
IEEE Trans. Computers
Lianbo Ma, Yuee Zhou, Ye Ma, Guo Yu, Qing Li, Qiang He, Yan Pei
2025 J jnl
Formal concept analysis assisted large-scale global optimization and its application to cloud task scheduling.
Complex Intell. Syst.
Guo Yu, Yibo Yong, Chao Jiang, Fei Hao, Lianbo Ma
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
TBCIM: Two-Level Blockchain-Aided Edge Resource Allocation Mechanism for Federated Learning Service Market.
IEEE Trans. Netw.
Lianbo Ma, Ying Qian, Guo Yu, Zhetao Li, Liang Wang, Qing Li, Xingwei Wang, Guangjie Han
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 A* conf
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization.
IJCAI
Haidong Kang, Lianbo Ma, Guo Yu, Shangce Gao
2025 J jnl
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization.
CoRR
Haidong Kang, Lianbo Ma, Guo Yu, Shangce Gao
2024 J jnl
A Novel Fuzzy Neural Network Architecture Search Framework for Defect Recognition With Uncertainties.
IEEE Trans. Fuzzy Syst.
Lianbo Ma, Nan Li, Peican Zhu, Keke Tang, Asad Khan, Feng Wang, Guo Yu
2024 J jnl
Accelerated PALM for Nonconvex Low-Rank Matrix Recovery With Theoretical Analysis.
IEEE Trans. Circuits Syst. Video Technol.
Hengmin Zhang, Bihan Wen, Zhiyuan Zha, Bob Zhang, Yang Tang, Guo Yu, Wenli Du
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 A* conf
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training.
AAAI
Lianbo Ma, Yuee Zhou, Jianlun Ma, Guo Yu, Qing Li
2024 J jnl
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training.
CoRR
Lianbo Ma, Yuee Zhou, Jianlun Ma, Guo Yu, Qing Li
2024 J jnl
Operation Optimization of Multiphase Pollutant Treatment Considering Carbon Emissions.
IEEE Access
Guo Yu, Dongjie Zhang, Hailong Deng, Chao Jiang, Quanling Zhang
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 J jnl
Single-Domain Generalized Predictor for Neural Architecture Search System.
IEEE Trans. Computers
Lianbo Ma, Haidong Kang, Guo Yu, Qing Li, Qiang He
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
Transferable preference learning in multi-objective decision analysis and its application to hydrocracking.
Complex Intell. Syst.
Guo Yu, Xinzhe Wang, Chao Jiang, Yang Liu, Lianbo Ma, Cuimei Bo, Quanling Zhang
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
Automatic design of machine learning via evolutionary computation: A survey.
Appl. Soft Comput.
Nan Li, Lianbo Ma, TieJun Xing, Guo Yu, Chen Wang, Yingyou Wen, Shi Cheng, Shangce Gao
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
Efficient rolling horizon approach to a crude oil scheduling problem for marine-access refineries.
Comput. Chem. Eng.
Yunning Yang, Renchu He, Guo Yu, Wei Du, Minglei Yang, Wenli Du
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 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
Tiny adversarial multi-objective one-shot neural architecture search.
Complex Intell. Syst.
Guoyang Xie, Jinbao Wang, Guo Yu, Jiayi Lyu, 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 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
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 B conf
Large-scale crude oil scheduling: A framework of hybrid optimization based on plan decomposition.
CEC
Wanting Zhang, Wei Du, Guo Yu, Renchu He, Wenli Du
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
Towards Fairness-Aware Multi-Objective Optimization.
CoRR
Guo Yu, Lianbo Ma, Wei Du, Wenli Du, 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 fast constrained state transition algorithm.
Neurocomputing
Xiaojun Zhou, Jituo Tian, Jianpeng Long, Yaochu Jin, Guo Yu, Chunhua Yang
2021 J jnl
How to Simplify Search: Classification-wise Pareto Evolution for One-shot Neural Architecture Search.
CoRR
Lianbo Ma, Nan Li, Guo Yu, Xiaoyu Geng, Min Huang, Xingwei Wang
2021 J jnl
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search.
CoRR
Guoyang Xie, Jinbao Wang, Guo Yu, Feng Zheng, 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
2019 J jnl
A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation.
Inf. Sci.
Hui Bai, Jinhua Zheng, Guo Yu, Shengxiang Yang, Juan Zou
2019 — conf
An a priori knee identification multi-objective evolutionary algorithm based on
GECCO (Companion)
Guo Yu, Yaochu Jin, Markus Olhofer
2019 B conf
References or Preferences - Rethinking Many-objective Evolutionary Optimization.
CEC
Guo Yu, Yaochu Jin, Markus Olhofer
2018 B conf
A Method for a Posteriori Identification of Knee Points Based on Solution Density.
CEC
Guo Yu, Yaochu Jin, Markus Olhofer
2018 — conf
A Performance Indicator for Reference-Point-Based Multiobjective Evolutionary Optimization.
SSCI
Zhanglu Hou, Shengxiang Yang, Juan Zou, Jinhua Zheng, Guo Yu, Gan Ruan
2018 J jnl
A many-objective evolutionary algorithm based on rotated grid.
Appl. Soft Comput.
Juan Zou, Liuwei Fu, Jinhua Zheng, Shengxiang Yang, Guo Yu, Yaru Hu
2017 J jnl
A preference-based multi-objective evolutionary algorithm using preference selection radius.
Soft Comput.
Jianjie Hu, Guo Yu, Jinhua Zheng, Juan Zou
2017 J jnl
Binary search based boundary elimination selection in many-objective evolutionary optimization.
Appl. Soft Comput.
Guo Yu, Ruimin Shen, Jinhua Zheng, Miqing Li, Juan Zou, Yuan Liu
2017 J jnl
On decomposition methods in interactive user-preference based optimization.
Appl. Soft Comput.
Jinhua Zheng, Guo Yu, Qiaofeng Zhu, Xiaodong Li, Juan Zou
2017 J jnl
The effect of diversity maintenance on prediction in dynamic multi-objective optimization.
Appl. Soft Comput.
Gan Ruan, Guo Yu, Jinhua Zheng, Juan Zou, Shengxiang Yang
2016 J jnl
Decomposing the user-preference in multiobjective optimization.
Soft Comput.
Guo Yu, Jinhua Zheng, Ruimin Shen, Miqing Li
2015 B conf
An improved performance metric for multiobjective evolutionary algorithms with user preferences.
CEC
Guo Yu, Jinhua Zheng, Xiaodong Li