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2020 – today
- 2024
[j10]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: 101506 (2024)- [j9]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: 101610 (2024) - [c9]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: 14202-14210 - [c8]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: 3-4 - [c7]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: 2455-2466 - [i6]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 abs/2405.08604 (2024) - [i5]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 abs/2405.08674 (2024) - [i4]Hao Hao, Xiaoqun Zhang, Bingdong Li, Aimin Zhou:
A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms. CoRR abs/2405.16494 (2024) - [i3]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 abs/2407.00487 (2024) - [i2]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 abs/2407.17476 (2024) - 2023
- [j8]Yan Zhang, Bingdong Li, Wenjing Hong, Aimin Zhou:
MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies. Neurocomputing 562: 126892 (2023) - [j7]Shuai Wang, Aimin Zhou, Bingdong Li, Peng Yang:
Differential evolution guided by approximated Pareto set for multiobjective optimization. Inf. Sci. 630: 669-687 (2023) - [j6]Shuai Wang, Bingdong Li, Aimin Zhou:
A regularity augmented evolutionary algorithm with dual-space search for multiobjective optimization. Swarm Evol. Comput. 78: 101261 (2023) - [j5]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: 101377 (2023) - [c6]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: 722-730 - [i1]Muyao Zhong, Shengcai Liu, Bingdong Li, Haobo Fu, Ke Tang, Peng Yang:
Pointer Networks Trained Better via Evolutionary Algorithms. CoRR abs/2312.01150 (2023) - 2022
- [c5]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: 1-8
2010 – 2019
- 2018
- [b1]Bingdong Li:
Network Security Monitoring and Analysis based on Big Data Technologies. University of Nevada, Reno, USA, 2018 - 2016
- [j4]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): 924-938 (2016) - [c4]Bingdong Li, Chao Qian, Jinlong Li, Ke Tang, Xin Yao:
Search based recommender system using many-objective evolutionary algorithm. CEC 2016: 120-126 - 2015
- [j3]Bingdong Li, Jinlong Li, Ke Tang, Xin Yao:
Many-Objective Evolutionary Algorithms: A Survey. ACM Comput. Surv. 48(1): 13:1-13:35 (2015) - 2014
- [c3]Bingdong Li, Jinlong Li, Ke Tang, Xin Yao:
An improved Two Archive Algorithm for Many-Objective optimization. IEEE Congress on Evolutionary Computation 2014: 2869-2876 - 2013
- [j2]Bingdong Li, Esra Erdin, Mehmet Hadi Gunes, George Bebis, Todd Shipley:
An overview of anonymity technology usage. Comput. Commun. 36(12): 1269-1283 (2013) - [j1]Bingdong Li, Jeff Springer, George Bebis, Mehmet Hadi Gunes:
A survey of network flow applications. J. Netw. Comput. Appl. 36(2): 567-581 (2013) - [c2]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: 53-60 - 2011
- [c1]Bingdong Li, Esra Erdin, Mehmet Hadi Günes, George Bebis, Todd Shipley:
An Analysis of Anonymizer Technology Usage. TMA 2011: 108-121
Coauthor Index
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