Bingdong Li

According to our database, Bingdong Li authored at least 25 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Accelerating surrogate assisted evolutionary algorithms for expensive multi-objective optimization via explainable machine learning.

Bingdong Li, Yanting Yang, Dacheng Liu, Yan Zhang, Aimin Zhou, Xin Yao

Swarm Evol. Comput., 2024

Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization.

Bingdong Li, Yongfan Lu, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou

Swarm Evol. Comput., 2024

It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization.

Bingdong Li, Zixiang Di, Yanting Yang, Hong Qian, Peng Yang, Hao Hao, Ke Tang, Aimin Zhou

CoRR, 2024

A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms.

Hao Hao, Xiaoqun Zhang, Bingdong Li, Aimin Zhou

CoRR, 2024

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models.

Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou

CoRR, 2024

Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization.

Yongfan Lu, Zixiang Di, Bingdong Li, Shengcai Liu, Hong Qian, Peng Yang, Ke Tang, Aimin Zhou

CoRR, 2024

ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems.

Hong Qian, Shuo Liu, Mingjia Li, Bingdong Li, Zhi Liu, Aimin Zhou

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.

Xiang Shu, Yiyi Zhu, Renji Zhang, Xiang Xia, Bingdong Li, Hong Qian

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.

Yongfan Lu, Bingdong Li, Aimin Zhou

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.

Yongfan Lu, Bingdong Li, Shengcai Liu, Aimin Zhou

Swarm Evol. Comput., December, 2023

MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies.

Yan Zhang, Bingdong Li, Wenjing Hong, Aimin Zhou

Neurocomputing, December, 2023

Differential evolution guided by approximated Pareto set for multiobjective optimization.

Shuai Wang, Aimin Zhou, Bingdong Li, Peng Yang

Inf. Sci., June, 2023

A regularity augmented evolutionary algorithm with dual-space search for multiobjective optimization.

Shuai Wang, Bingdong Li, Aimin Zhou

Swarm Evol. Comput., 2023

Pointer Networks Trained Better via Evolutionary Algorithms.

Muyao Zhong, Shengcai Liu, Bingdong Li, Haobo Fu, Ke Tang, Peng Yang

CoRR, 2023

RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization.

Yongfan Lu, Bingdong Li, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou

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.

Hao Hao, Shuai Wang, Bingdong Li, Aimin Zhou

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2018

Network Security Monitoring and Analysis based on Big Data Technologies.

Bingdong Li

PhD thesis, 2018

2016

Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators.

Bingdong Li, Ke Tang, Jinlong Li, Xin Yao

IEEE Trans. Evol. Comput., 2016

Search based recommender system using many-objective evolutionary algorithm.

Bingdong Li, Chao Qian, Jinlong Li, Ke Tang, Xin Yao

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Many-Objective Evolutionary Algorithms: A Survey.

Bingdong Li, Jinlong Li, Ke Tang, Xin Yao

ACM Comput. Surv., 2015

2014

An improved Two Archive Algorithm for Many-Objective optimization.

Bingdong Li, Jinlong Li, Ke Tang, Xin Yao

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

A survey of network flow applications.

Bingdong Li, Jeff Springer, George Bebis, Mehmet Hadi Gunes

J. Netw. Comput. Appl., 2013

An overview of anonymity technology usage.

Bingdong Li, Esra Erdin, Mehmet Hadi Gunes, George Bebis, Todd Shipley

Comput. Commun., 2013

A supervised machine learning approach to classify host roles on line using sFlow.

Bingdong Li, Mehmet Hadi Gunes, George Bebis, Jeff Springer

Proceedings of the first edition workshop on High performance and programmable networking, 2013

2011

An Analysis of Anonymizer Technology Usage.

Bingdong Li, Esra Erdin, Mehmet Hadi Günes, George Bebis, Todd Shipley

Proceedings of the Traffic Monitoring and Analysis - Third International Workshop, 2011