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IEEE Transactions on Neural Networks and Learning Systems|April 7, 2023
A Novel Dynamic Operation Optimization Method Based on Multiobjective Deep Reinforcement Learning for Steelmaking ProcessChang Liu, Lixin Tang, Chenche ZhaoIEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 23, 2025
A Multiobjective Evolutionary Multiscale Transformer Incorporating Fractal Features for Steel Materials Quality AnalyticsKainan Zhang, Chang Liu, Lixin TangIEEE Transactions on Neural Networks and Learning Systems|April 23, 2024
Multiobjective Evolutionary Learning for Multitask Quality Prediction Problems in Continuous Annealing ProcessChang Liu, Lixin Tang, Kainan Zhang, et al.Toxicology Mechanisms and Methods|June 26, 2026
Toxic Effects of Perfluoroalkyl and Polyfluoroalkyl Substances (PFAS) on the Gut Microenvironment and Their Potential Association with Colorectal CancerXiufen Tang, Lixin TangJournal of Stomatology, Oral and Maxillofacial Surgery|August 1, 2024
Postoperative facial prediction for mandibular defect based on surface mesh deformationWen Du, Hao Wang, Chenche Zhao, et al.IEEE Transactions on Neural Networks and Learning Systems|December 13, 2023
An Off-Policy Reinforcement Learning-Based Adaptive Optimization Method for Dynamic Resource Allocation ProblemBaiyang He, Ying Meng, Lixin TangIEEE Transactions on Neural Networks and Learning Systems|September 3, 2025
A Decomposition Optimization-Based Multiobjective Reinforcement Learning Algorithm for Obtaining Nonconvex Pareto FrontsTianyang Li, Ying Meng, Lixin TangIEEE Transactions on Cybernetics|July 14, 2018
Adaptive Multiobjective Differential Evolution With Reference Axis Vicinity MechanismLixin Tang, Xianpeng Wang, Zhiming DongIEEE Transactions on Neural Networks and Learning Systems|March 4, 2021
A Multiobjective Evolutionary Nonlinear Ensemble Learning With Evolutionary Feature Selection for Silicon Prediction in Blast FurnaceXianpeng Wang, Tenghui Hu, Lixin TangIEEE Transactions on Cybernetics|July 17, 2020
A Memetic Algorithm Based on Probability Learning for Solving the Multidimensional Knapsack ProblemZuocheng Li, Lixin Tang, Jiyin LiuPageof 942