百晓学者学者目录

姚立忠

教授、硕士生导师,重庆师范大学

精选作品

期刊论文

2026

Evolutionary multitasking optimization based on cross-task association mapping strategy

Tao Yin, Lizhong Yao, Xin Zong, Pengjie Qin, Haoming Dong

Expert Systems With Applications,Vol. 298

2026

基于双域抗噪编码与门控循环Transformer的轴承故障诊断

蒋鹏,姚立忠,秦鹏杰

《自动化学报》

2026

基于跨域知识动态筛选与非负子空间对齐的多任务进化算法

殷涛,姚立忠,董浩铭,罗海军

《控制与决策》

2026

A topology-aware direction-adaptive multitask evolutionary algorithm

Yuxin Chen, Lizhong Yao, Rui Li, Pengjie Qin, Peng Jiang, Jun Yi

Swarm and Evolutionary Computation

2026

A dynamic multi-objective evolutionary algorithm with direction-guided hybrid response and sensitive-dimension-based two-stage evolution

Haoming Dong, Lizhong Yao, Haijun Luo, Pengjie Qin, Jun Yi, Sheng Yuan Hu

Expert Systems with Applications

2026

Reinforcement and Statistical Learning-Assisted Evolutionary Algorithm for Space-Limited Aircraft Assembly Scheduling Problem

Rui Li, Ling Wang, Hong-Yan Sang, Yonghao Du, Lizhong Yao

IEEE Transactions on Automation Science and Engineering

2025

基于自适应双层无迹卡尔曼滤波神经网络的铝电解电流效率预测模型

方小燕,姚立忠,罗海军,张玉泽,易军

《控制理论与应用》

2025

融合自适应更新参考点策略与种群预测机制的多目标优化算法

董浩铭,姚立忠,王凌,殷涛,罗海军

《控制理论与应用》

2025

基于知识分类转移与负向检测的多目标多任务优化

Lizhong Yao, Lei Zhao, Ling Wang, Hong-Yan Sang, Rui Li, Haijun Luo

Scientia Sinica Technologica

2025

Mutagenic multifactorial evolutionary algorithm based on trait segregation

Lizhong Yao, Jia Chen, Lingling Wang, Tao Yin, Rui Qiang Li

Science China Technological Sciences

2025

Knowledge-Guided Multiview Hierarchical Evolutionary Algorithm for Flexible Job Shop Scheduling With Finite Skilled Workers

Rui Li, Ling Wang, Hongyan Sang, Lizhong Yao

IEEE Transactions on Systems Man and Cybernetics Systems

2025

LLM-Assisted Automatic Memetic Algorithm for Lot-Streaming Hybrid Job Shop Scheduling With Variable Sublots

Rui Li, Ling Wang, Hongyan Sang, Lizhong Yao, Lijun Pan

IEEE Transactions on Evolutionary Computation

2025

A Spatiotemporal Data-Driven Framework for Acoustic Signal-Based Natural Gas Pipeline Leak Detection

Lizhong Yao, Lu Zhang, Ling Wang, Rui Li, Haijun Luo

IEEE Transactions on Instrumentation and Measurement

2024

Natural Gas Pipeline Leak Detection Based on Dual Feature Drift in Acoustic Signals

Lizhong Yao, Yu Zhang, Ling Wang, Rui Li, Tiantian He

IEEE Transactions on Industrial Informatics

2024

Explicit Evolutionary Framework With Multitasking Feature Fusion for Optimizing Operational Parameters in Aluminum Electrolysis Process

Lizhong Yao, Xin Zong, Ling Wang, Rui Li, Jun Yi

IEEE Transactions on Cybernetics

2024

Application of Acoustic Signal Hybrid Filtering with 1D-CNN for Fault Diagnosis of Natural Gas Pipeline Leakage

Yu Zhang, Lizhong Yao, Haijun Luo

Journal of Pipeline Systems Engineering and Practice

2024

Multi-objective optimization driven by preponderant individuals and symmetric sampling for operational parameter design in aluminum electrolysis process

Lizhong Yao, Jia Chen, Ling Wang, Rui Li, Haijun Luo, Jun Yi

Swarm and Evolutionary Computation

2024

Multitasking Evolutionary Algorithm with SVM-Based Knowledge Discriminator

Xin Zong, Lei Zhao, Zhongwen Cheng, Jia Chen, Lizhong Yao

Learning and analytics in intelligent systems

2023

基于量子加权最小门限单元网络的出水COD预测

张玉泽,姚立忠,罗海军

《环境工程技术学报》

2023

Natural gas pipeline leak detection based on acoustic signal analysis and feature reconstruction

Lizhong Yao, Yu Zhang, Tiantian He, Haijun Luo

Applied Energy

2023

Piggybacking on past problem for faster optimization in aluminum electrolysis process design

Lizhong Yao, Tiantian He, Haijun Luo

Engineering Applications of Artificial Intelligence

2022

Fault diagnosis of natural gas pipeline leakage based on 1D-CNN and self-attention mechanism

Yu Zhang, Lizhong Yao, Lu Zhang, Haijun Luo

IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

2022

Establishing the energy consumption prediction model of aluminum electrolysis process by genetically optimizing wavelet neural network

Lizhong Yao, Qian Fan, Lei Zhao, Yanyan Li, Qingping Mei

Frontiers in Energy Research

2022

A multiobjective prediction model with incremental learning ability by developing a multi-source filter neural network for the electrolytic aluminium process

Lizhong Yao, Wei Ding, Tiantian He, Shouxin Liu, Ling Nie

Applied Intelligence

2022

Multifactorial Evolutionary Algorithm Based on Improved Dynamical Decomposition for Many-Objective Optimization Problems

Jun Yi, Wei Zhang, Jun-Ren Bai, Wei Zhou, Lizhong Yao

IEEE Transactions on Evolutionary Computation

2021

基于自适应MCMC采样的新型UPFNN铝电解能耗模型

丁伟,姚立忠,龙伟,李炎炎

《四川大学学报(自然科学版)》

2021

基于EIGA-PKPLS的电解铝制造系统特征提取方法

王业丰,姚立忠,龙伟,丁伟,孙先武

《中国测试》

2021

基于函数型进化算子的铝电解多目标优化

范倩,龙伟,姚立忠,李炎炎

《四川大学学报(自然科学版)》

2021

Event-Triggered Optimal Control for the Continuous Stirred Tank Reactor System

Wei-Wu Zhou, Jun Yi, Lizhong Yao, Guo-Rong Chen

IEEE Transactions on Artificial Intelligence

2021

Incremental learning model based on an improved CKS-PFNN for aluminium electrolysis manufacturing

Wei Ding, Lizhong Yao, Yanyan Li, W. Long, Jun Yi

Neural computing & applications (Print)

2021

A novel tournament selection based on multilayer cultural characteristics in gene-culture coevolutionary multitasking

Lizhong Yao, W. Long, Jun Yi, Taifu Li, Dedong Tang, Qingzheng Xu

Soft Computing - A Fusion of Foundations, Methodologies and Applications

2020

A Multifactorial Evolutionary Algorithm for Multitasking Under Interval Uncertainties

Jun Yi, Jun-Ren Bai, Hai-Bo He, Wei Zhou, Lizhong Yao

IEEE Transactions on Evolutionary Computation

2020

Dynamic evolutionary model based on a multi-sampling inherited HAPFNN for an aluminium electrolysis manufacturing system

Wei-Wei Ding, Lizhong Yao, Yanyan Li, W. Long, Jun Yi, Tiantian He

Applied Soft Computing

2019

An improved feed-forward neural network based on UKF and strong tracking filtering to establish energy consumption model for aluminum electrolysis process

Lizhong Yao, Taifu Li, Yanyang Li, W. Long, Jun Yi

Neural computing & applications (Print)

2019

Characterization of a wavelength selection method using near-infrared spectroscopy and partial least squares with false nearest neighbors and its application in the detection of the chemical oxygen demand of waste liquid

Qing-Ping Mei, Tai-Fu Li, Lizhong Yao, Xiao-Hong Liu, Yuan Hu, Lei-Xiu Hu

Spectroscopy Letters

2019

An Improved UKFNN Based on Iterative Renewal for Intelligent Modeling of Aluminum Electrolysis

Lizhong Yao, W. Long, Taifu Li, De-Dong Tang, Jun Yi

IEEE Advanced Information Technology, Electronic and Automation Control Conference

2019

Adaptive Sampling Dual Heuristic Dynamic Programming for Rare Earth Extraction Process

Jun Yi, Ling Wu, W. Zhou, Lizhong Yao, Qi Han

IEEE Access

2019

A Sparse Dimensionality Reduction Approach Based on False Nearest Neighbors for Nonlinear Fault Detection

Jun Yi, Ling Wu, Wei Zhou, Hai-Bo He, Lizhong Yao

IEEE Transactions on Systems, Man & Cybernetics. Systems

2018

Operating Parameters Optimization for the Aluminum Electrolysis Process Using an Improved Quantum-Behaved Particle Swarm Algorithm

Jun Yi, Jun-Ren Bai, Wei Zhou, Hai-Bo He, Lizhong Yao

IEEE Transactions on Industrial Informatics

2018

Characterization of a Stable Adaptive Calibration Model Using Near-Infrared Spectroscopy and Partial Least Squares with a Kalman Filter

Qing-Ping Mei, Yi Tang, Tai-Fu Li, Lizhong Yao, Qiong Yang, Heng-Jian Zhang, Xiao-Hong Liu

2016

关于铝电解过程节能模型优化仿真研究

姚立忠,李太福,苏盈盈,张恒健

《计算机仿真》

2016

Modeling method based on iterative UKFNN pumping oil production process

Wei Zhou, Xiaodong Liang, Taifu Li, Lizhong Yao, Xiao-Hua Gu

Chinese Control and Decision Conference

2016

An improved UKFNN based on square root filter for modeling of aluminum reduction

Lizhong Yao, Heng-Jia Zhang, Taifu Li, Jun Yi, Yingying Su

Cybersecurity and Cyberforensics Conference

2016

Study of an adaptable calibration model of near-infrared spectra based on KF-PLS

Qing-Ping Mei, Tai-Fu Li, Lizhong Yao, Di Huang, Yonglong Yang

2016

アルミニウム電解プロセスの省エネルギーモデル最適化シミュレーションに関する研究【JST・京大機械翻訳】

Lizhong Yao, Tai-Fu Li, Yingying Su, Heng-Jia Zhang

2015

基于拥挤距离排序的铝电解多目标优化

易军,黄迪,李太福,周伟,姚立忠

《仪器仪表学报》

2015

基于误差补偿模型的工艺参数优化研究

王坎,李太福,辜小花,苏盈盈,刘媛媛,姚立忠

《控制工程》

2014

强跟踪平方根UKFNN的铝电解槽工耗动态演化模型

李太福,姚立忠,易军,胡文金,苏盈盈,贾威

《自动化学报》

2014

Research and Application of Data Mining Feature Selection Based on Relief Algorithm

Lun Gao, Tai-Fu Li, Lizhong Yao, Feng Wen

Journal of Software

2014

The Nonlinear Variable Selection and Its Real-time Detection of Lead-acid Battery Capacity

Yingying Su, Xing-Hua Liu, Shan Liang, Jingzhe Lee, Lizhong Yao, Ke-Sheng Yan

Journal of Computers

2014

Variable Selection Method for Aluminum Electrolytic Process Based on FNN and RM in KPLS Feature Space

Lizhong Yao, Taifu Li, Jun Peng, Deyong Wu, Yingying Su, Jun Yi

Journal of Computers

2014

An Improved UKFNN Based on Square Root Filter and Strong Tracking Filter for Dynamic Evolutionary Modeling of Aluminum Reduction Cell

Lizhong Yao, Jun Yi, Wen-Jing Hu, Taifu Li, Wei Jia, Yingying Su

2014

Gamma Test 噪声估计的 Kalman

Taifu Li, Jie Hou, Lizhong Yao, Jun Yi, Xiaohua Gu, Yongtao You

2013

复杂化工过程神经网络模型的透明化

李太福,姚立忠,苏盈盈,易军,胡文金,肖大志

《控制工程》

2013

基于ICAFNN的软传感器建模过程原始特征选择

李太福,苏盈盈,易军,姚立忠,徐敏

《仪器仪表学报》

2013

基于FNN-UKF神经网络的氧化铝浓度动态预测模型

易军,李太福,侯杰,姚立忠,田应甫

《工程科学与技术》

2013

复杂工业过程动态演化建模与决策参数稳健优化

姚立忠

《西安石油大学》

2013

Incomplete Phase Space Reconstruction Method Based on Subspace Adaptive Evolution Approximation

Taifu Li, Wei Jia, Wei Zhou, Jike Ge, Yu-Cheng Liu, Lizhong Yao

Journal of Applied Mathematics

2013

Original Feature Selection in Soft-Sensing Model Process Based on Similarity Measure in ICA Feature Subspace

Lizhong Yao, Jun Yi, Taifu Li, Min Xu, Yingying Su

2013

Aluminum electrolysis cell condition diagnosis method based on principal element similarity measure

Jun Yi, Tai Li, Yingying Su, Yuan-Tao Zhang, Lizhong Yao, Jie Hou, Shuang-Ming Wang, Jian-Quan Wu, Li-Xiao Feng, Yang Pei

2013

The dynamic evolutionary modeling method of aluminium electrolysis process art electrolysis cells energy consumption

Lizhong Yao, Jia-Xu Wang, Taifu Li, Jun Yi, Ying Tian, Wen-Jing Hu, Yingying Su

2013

Improving Transparency of NN Model in Complex Chemical Process

Da-Zhi Xiao, Lizhong Yao, Jun Yi, Wen-Jing Hu, Taifu Li, Yingying Su

2013

A tasks assignment algorithm based on entropy assessment model for wireless sensor and actor networks

Jun Yi, Jun Peng, Taifu Li, Lizhong Yao, Wen-Jing Hu

IEEE International Conference on Cognitive Informatics and Cognitive Computing

2013

Decision Variables Selection of Aluminum Electrolytic Process Based on FNN and RM

Lizhong Yao, Taifu Li, Deyong Wu, Yingying Su, Jun Yi

2012

神经网络模型的透明化及输入变量约简

姚立忠,李太福,易军,苏盈盈,胡文金,肖大志

《计算机科学》

2012

基于对称Alpha稳定分布概率神经网络的铝电解槽况诊断

易军,李太福,田应甫,姚立忠,侯杰

《化工学报》

2012

融合PLS监督特征提取和虚假最近邻点的数据分类特征选择

颜克胜,李太福,魏正元,苏盈盈,姚立忠

《计算机与应用化学》

2012

Feature selection for data classification based on pls supervised feature extraction and false nearest neighbors

Ke-Sheng Yan, Lizhong Yao, Zheng-Yuan Wei, Tai-Fu Li, Yingying Su

2012

Visualize Black-box of NN Model and its Application in Dimensionality Reduction

Da-Zhi Xiao, Lizhong Yao, Jun Yi, Wen-Jing Hu, Taifu Li, Yingying Su

2012

Diagnosis of status of aluminum reduction cells based on symmetric Alpha-stable probabilistic distribution neural network

Jie Hou, Lizhong Yao, Jun Yi, Ying-Fu Tian, Tai Li

会议论文

2014

复杂区域重点采样的神经网络样本选择方法

李景哲,李太福,葛继科,苏盈盈,姚立忠,黄伟

《第七届模糊信息与工程国际会议(ICFIE'2014)、第一届运筹与管理国际会议 (ICORG'2014)暨中国运筹学会模糊信息与工程分会第七届年会、广东省运筹学会第二届年会、粤港澳运筹学会首届年会》

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