Bingdong Li
Orcid: 0000-0002-1742-2766
According to our database1,
Bingdong Li authored at least 40 papers
between 2011 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
Constrained Multiobjective Optimization Based on Dynamic Priority and Cooperative Offspring Generation.
IEEE Trans. Evol. Comput., April, 2026
A Decoupled Basis-Vector-Driven Generative Framework for Dynamic Multi-Objective Optimization.
CoRR, April, 2026
EduResearchBench: A Hierarchical Atomic Task Decomposition Benchmark for Full-Lifecycle Educational Research.
CoRR, February, 2026
CoRR, February, 2026
IB-GRPO: Aligning LLM-based Learning Path Recommendation with Educational Objectives via Indicator-Based Group Relative Policy Optimization.
CoRR, January, 2026
Efficient Parameter Calibration of Numerical Weather Prediction Models via Evolutionary Sequential Transfer Optimization.
CoRR, January, 2026
Rethinking driver fatigue detection as anomaly identification: A hypergraph-transformer approach.
Inf. Process. Manag., 2026
2025
Evolutionary Reinforcement Learning based AI tutor for Socratic Interdisciplinary Instruction.
CoRR, December, 2025
Hyperbolic Neural Network-Based Preselection for Expensive Multiobjective Optimization.
IEEE Trans. Evol. Comput., August, 2025
SID: Benchmarking Guided Instruction Capabilities in STEM Education with a Socratic Interdisciplinary Dialogues Dataset.
CoRR, August, 2025
A Two-Population Algorithm for Large-Scale Multiobjective Optimization Based on Fitness-Aware Operator and Adaptive Environmental Selection.
IEEE Trans. Evol. Comput., June, 2025
Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network.
CoRR, May, 2025
IEEE Trans. Evol. Comput., April, 2025
Diversity-enhanced hyper-heuristics for multi-objective dynamic flexible job shop scheduling.
Swarm Evol. Comput., 2025
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Accelerating surrogate assisted evolutionary algorithms for expensive multi-objective optimization via explainable machine learning.
Swarm Evol. Comput., 2024
Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization.
Swarm Evol. Comput., 2024
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization.
CoRR, 2024
A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms.
CoRR, 2024
Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization.
CoRR, 2024
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Automated Design Competition Technical Report: Cascaded Structure and Parameter Optimization Based on Prior Knowledge.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization.
Swarm Evol. Comput., December, 2023
MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies.
Neurocomputing, December, 2023
Differential evolution guided by approximated Pareto set for multiobjective optimization.
Inf. Sci., June, 2023
A regularity augmented evolutionary algorithm with dual-space search for multiobjective optimization.
Swarm Evol. Comput., 2023
RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
2022
A Surrogate Model Assisted Estimation of Distribution Algorithm with Mutil-acquisition Functions for Expensive Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2018
PhD thesis, 2018
2016
Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators.
IEEE Trans. Evol. Comput., 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Proceedings of the first edition workshop on High performance and programmable networking, 2013
2011
Proceedings of the Traffic Monitoring and Analysis - Third International Workshop, 2011