Bingdong Li

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 19

Top Topics

Diffusion Models

Ranking Algorithm

Evolutionary Algorithm

Technical Report

Top Venues

Swarm Evol. Comput.

IEEE Congress on Evolutionary Computation

Publications

Hong Qian, Shuo Liu, Mingjia Li, Bingdong Li, Zhi Liu, Aimin Zhou
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems. CoRR (2024)
Yongfan Lu, Bingdong Li, Aimin Zhou
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization. AAAI (2024)
Hao Hao, Xiaoqun Zhang, Bingdong Li, Aimin Zhou
A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms. CoRR (2024)
Xiang Shu, Yiyi Zhu, Renji Zhang, Xiang Xia, Bingdong Li, Hong Qian
Automated Design Competition Technical Report: Cascaded Structure and Parameter Optimization Based on Prior Knowledge. GECCO Companion (2024)
Yongfan Lu, Zixiang Di, Bingdong Li, Shengcai Liu, Hong Qian, Peng Yang, Ke Tang, Aimin Zhou
Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. CoRR (2024)
Bingdong Li, Yanting Yang, Dacheng Liu, Yan Zhang, Aimin Zhou, Xin Yao
Accelerating surrogate assisted evolutionary algorithms for expensive multi-objective optimization via explainable machine learning. Swarm Evol. Comput. 88 (2024)
Hong Qian, Shuo Liu, Mingjia Li, Bingdong Li, Zhi Liu, Aimin Zhou
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems. KDD (2024)
Bingdong Li, Zixiang Di, Yanting Yang, Hong Qian, Peng Yang, Hao Hao, Ke Tang, Aimin Zhou
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization. CoRR (2024)
Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. CoRR (2024)
Bingdong Li, Yongfan Lu, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou
Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization. Swarm Evol. Comput. 86 (2024)
Yongfan Lu, Bingdong Li, Shengcai Liu, Aimin Zhou
A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization. Swarm Evol. Comput. 83 (2023)
Yongfan Lu, Bingdong Li, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou
RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization. GECCO (2023)
Shuai Wang, Bingdong Li, Aimin Zhou
A regularity augmented evolutionary algorithm with dual-space search for multiobjective optimization. Swarm Evol. Comput. 78 (2023)
Yan Zhang, Bingdong Li, Wenjing Hong, Aimin Zhou
MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies. Neurocomputing 562 (2023)
Muyao Zhong, Shengcai Liu, Bingdong Li, Haobo Fu, Chao Qian, Ke Tang, Peng Yang
Pointer Networks Trained Better via Evolutionary Algorithms. CoRR (2023)
Shuai Wang, Aimin Zhou, Bingdong Li, Peng Yang
Differential evolution guided by approximated Pareto set for multiobjective optimization. Inf. Sci. 630 (2023)
Hao Hao, Shuai Wang, Bingdong Li, Aimin Zhou
A Surrogate Model Assisted Estimation of Distribution Algorithm with Mutil-acquisition Functions for Expensive Optimization. CEC (2022)
Bingdong Li, Chao Qian, Jinlong Li, Ke Tang, Xin Yao
Search based recommender system using many-objective evolutionary algorithm. CEC (2016)
Bingdong Li, Ke Tang, Jinlong Li, Xin Yao
Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators. IEEE Trans. Evol. Comput. 20 (6) (2016)
Bingdong Li, Jinlong Li, Ke Tang, Xin Yao
Many-Objective Evolutionary Algorithms: A Survey. ACM Comput. Surv. 48 (1) (2015)
Bingdong Li, Jinlong Li, Ke Tang, Xin Yao
An improved Two Archive Algorithm for Many-Objective optimization. IEEE Congress on Evolutionary Computation (2014)
Bingdong Li, Mehmet Hadi Gunes, George Bebis, Jeff Springer
A supervised machine learning approach to classify host roles on line using sFlow. HPPN@HPDC (2013)
Bingdong Li, Esra Erdin, Mehmet Hadi Gunes, George Bebis, Todd Shipley
An overview of anonymity technology usage. Comput. Commun. 36 (12) (2013)
Bingdong Li, Jeff Springer, George Bebis, Mehmet Hadi Gunes
A survey of network flow applications. J. Netw. Comput. Appl. 36 (2) (2013)
Bingdong Li, Esra Erdin, Mehmet Hadi Günes, George Bebis, Todd Shipley
An Analysis of Anonymizer Technology Usage. TMA (2011)