Bingdong Li

42 papers A* 4A 1B 3Journal 30Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Constrained Multiobjective Optimization Based on Dynamic Priority and Cooperative Offspring Generation.
IEEE Trans. Evol. Comput.
Zhihui He, Feng Wang, Bingdong Li, Aimin Zhou
2026 J jnl
EduResearchBench: A Hierarchical Atomic Task Decomposition Benchmark for Full-Lifecycle Educational Research.
CoRR
Houping Yue, Zixiang Di, Mei Jiang, Bingdong Li, Hao Hao, Yu Song, Bo Jiang, Aimin Zhou
2026 J jnl
Efficient Parameter Calibration of Numerical Weather Prediction Models via Evolutionary Sequential Transfer Optimization.
CoRR
Heping Fang, Bingdong Li, Peng Yang
2026 J jnl
IB-GRPO: Aligning LLM-based Learning Path Recommendation with Educational Objectives via Indicator-Based Group Relative Policy Optimization.
CoRR
Shuai Wang, Yaoming Yang, Bingdong Li, Hao Hao, Aimin Zhou
2026 J jnl
Not All Negative Samples Are Equal: LLMs Learn Better from Plausible Reasoning.
CoRR
Zixiang Di, Jinyi Han, Shuo Zhang, Ying Liao, Zhi Li, Xiaofeng Ji, Yongqi Wang, Zheming Yang, Ming Gao, Bingdong Li, Jie Wang
2026 J jnl
Rethinking driver fatigue detection as anomaly identification: A hypergraph-transformer approach.
Inf. Process. Manag.
Jibo He, Hao Yuan, Bingdong Li, Huiliang Zhang, Xin Meng, Jiali Yin, Yan Li
2025 J jnl
A Two-Population Algorithm for Large-Scale Multiobjective Optimization Based on Fitness-Aware Operator and Adaptive Environmental Selection.
IEEE Trans. Evol. Comput.
Bingdong Li, Yan Zhang, Peng Yang, Xin Yao, Aimin Zhou
2025 J jnl
Causal Inference-Based Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Bingdong Li, Yanting Yang, Peng Yang, Guiying Li, Ke Tang, Aimin Zhou
2025 J jnl
Diversity-enhanced hyper-heuristics for multi-objective dynamic flexible job shop scheduling.
Swarm Evol. Comput.
Yuan Shi, Yaoming Yang, Bingdong Li, Hong Qian, Hao Hao, Aimin Zhou
2025 J jnl
ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios.
CoRR
Shou'ang Wei, Xinyun Wang, Shuzhen Bi, Jian Chen, Ruijia Li, Bo Jiang, Xin Lin, Min Zhang, Yu Song, Bingdong Li, Aimin Zhou, Hao Hao
2025 J jnl
Evolutionary Reinforcement Learning based AI tutor for Socratic Interdisciplinary Instruction.
CoRR
Mei Jiang, Haihai Shen, Zhuo Luo, Bingdong Li, Wenjing Hong, Ke Tang, Aimin Zhou
2025 A* conf
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models.
AAAI
Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou
2025 J jnl
Hyperbolic Neural Network-Based Preselection for Expensive Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Bingdong Li, Yanting Yang, Wenjing Hong, Peng Yang, Aimin Zhou
2025 A* conf
Relation-Augmented Dueling Bayesian Optimization via Preference Propagation.
IJCAI
Xiang Xia, Xiang Shu, Shuo Liu, Yiyi Zhu, Yijie Zhou, Weiye Wang, Bingdong Li, Hong Qian
2025 J jnl
SID: Benchmarking Guided Instruction Capabilities in STEM Education with a Socratic Interdisciplinary Dialogues Dataset.
CoRR
Mei Jiang, Houping Yue, Bingdong Li, Hao Hao, Ying Qian, Bo Jiang, Aimin Zhou
2025 J jnl
Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network.
CoRR
Bingdong Li, Mei Jiang, Hong Qian, Ke Tang, Aimin Zhou, Peng Yang
2024 J jnl
A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms.
CoRR
Hao Hao, Xiaoqun Zhang, Bingdong Li, Aimin Zhou
2024 J jnl
Accelerating surrogate assisted evolutionary algorithms for expensive multi-objective optimization via explainable machine learning.
Swarm Evol. Comput.
Bingdong Li, Yanting Yang, Dacheng Liu, Yan Zhang, Aimin Zhou, Xin Yao
2024 A* conf
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization.
AAAI
Yongfan Lu, Bingdong Li, Aimin Zhou
2024 — conf
Automated Design Competition Technical Report: Cascaded Structure and Parameter Optimization Based on Prior Knowledge.
GECCO Companion
Xiang Shu, Yiyi Zhu, Renji Zhang, Xiang Xia, Bingdong Li, Hong Qian
2024 J jnl
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models.
CoRR
Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou
2024 J jnl
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization.
CoRR
Bingdong Li, Zixiang Di, Yanting Yang, Hong Qian, Peng Yang, Hao Hao, Ke Tang, Aimin Zhou
2024 A* conf
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems.
KDD
Hong Qian, Shuo Liu, Mingjia Li, Bingdong Li, Zhi Liu, Aimin Zhou
2024 J jnl
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems.
CoRR
Hong Qian, Shuo Liu, Mingjia Li, Bingdong Li, Zhi Liu, Aimin Zhou
2024 J jnl
Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization.
Swarm Evol. Comput.
Bingdong Li, Yongfan Lu, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou
2024 J jnl
Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization.
CoRR
Yongfan Lu, Zixiang Di, Bingdong Li, Shengcai Liu, Hong Qian, Peng Yang, Ke Tang, Aimin Zhou
2023 J jnl
A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization.
Swarm Evol. Comput.
Yongfan Lu, Bingdong Li, Shengcai Liu, Aimin Zhou
2023 J jnl
A regularity augmented evolutionary algorithm with dual-space search for multiobjective optimization.
Swarm Evol. Comput.
Shuai Wang, Bingdong Li, Aimin Zhou
2023 J jnl
Differential evolution guided by approximated Pareto set for multiobjective optimization.
Inf. Sci.
Shuai Wang, Aimin Zhou, Bingdong Li, Peng Yang
2023 J jnl
MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies.
Neurocomputing
Yan Zhang, Bingdong Li, Wenjing Hong, Aimin Zhou
2023 J jnl
Pointer Networks Trained Better via Evolutionary Algorithms.
CoRR
Muyao Zhong, Shengcai Liu, Bingdong Li, Haobo Fu, Ke Tang, Peng Yang
2023 A conf
RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization.
GECCO
Yongfan Lu, Bingdong Li, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou
2022 B conf
A Surrogate Model Assisted Estimation of Distribution Algorithm with Mutil-acquisition Functions for Expensive Optimization.
CEC
Hao Hao, Shuai Wang, Bingdong Li, Aimin Zhou
2018 — —
Network Security Monitoring and Analysis based on Big Data Technologies.
Bingdong Li
2016 B conf
Search based recommender system using many-objective evolutionary algorithm.
CEC
Bingdong Li, Chao Qian, Jinlong Li, Ke Tang, Xin Yao
2016 J jnl
Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators.
IEEE Trans. Evol. Comput.
Bingdong Li, Ke Tang, Jinlong Li, Xin Yao
2015 J jnl
Many-Objective Evolutionary Algorithms: A Survey.
ACM Comput. Surv.
Bingdong Li, Jinlong Li, Ke Tang, Xin Yao
2014 B conf
An improved Two Archive Algorithm for Many-Objective optimization.
IEEE Congress on Evolutionary Computation
Bingdong Li, Jinlong Li, Ke Tang, Xin Yao
2013 — conf
A supervised machine learning approach to classify host roles on line using sFlow.
HPPN@HPDC
Bingdong Li, Mehmet Hadi Gunes, George Bebis, Jeff Springer
2013 J jnl
A survey of network flow applications.
J. Netw. Comput. Appl.
Bingdong Li, Jeff Springer, George Bebis, Mehmet Hadi Gunes
2013 J jnl
An overview of anonymity technology usage.
Comput. Commun.
Bingdong Li, Esra Erdin, Mehmet Hadi Gunes, George Bebis, Todd Shipley
2011 — conf
An Analysis of Anonymizer Technology Usage.
TMA
Bingdong Li, Esra Erdin, Mehmet Hadi Günes, George Bebis, Todd Shipley