Jie Zhao

According to our database, Jie Zhao authored at least 24 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Multidomain Evolutionary Optimization on Adversarial Link Perturbation in Imbalanced-Size Complex Systems.

Jie Zhao, Kang Hao Cheong

IEEE Trans. Syst. Man Cybern. Syst., April, 2026

Can Large Language Models Be Trusted as Evolutionary Optimizers for Network-Structured Combinatorial Problems?

Jie Zhao, Tao Wen, Kang Hao Cheong

IEEE Trans. Netw. Sci. Eng., 2026

2025

Multidomain Evolutionary Optimization on Combinatorial Problems in Complex Networks.

Jie Zhao, Kang Hao Cheong, Yaochu Jin

IEEE Trans. Cybern., December, 2025

Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models.

Jie Zhao, Kang Hao Cheong

CoRR, October, 2025

Visual Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models: A Case Study of Influence Maximization.

Jie Zhao, Kang Hao Cheong

CoRR, May, 2025

Enhanced Epidemic Control: Community-Based Observer Placement and Source Tracing.

Jie Zhao, Kang Hao Cheong

IEEE Trans. Syst. Man Cybern. Syst., April, 2025

Can Large Language Models Be Trusted as Black-Box Evolutionary Optimizers for Combinatorial Problems?

Jie Zhao, Tao Wen, Kang Hao Cheong

CoRR, January, 2025

Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization.

Jie Zhao, Kang Hao Cheong, Witold Pedrycz

CoRR, January, 2025

2024

MASE: Multi-Attribute Source Estimator for Epidemic Transmission in Complex Networks.

Jie Zhao, Kang Hao Cheong

IEEE Trans. Syst. Man Cybern. Syst., June, 2024

Dual-pronged deep learning preprocessing on heterogeneous platforms with CPU, GPU and CSD.

Jia Wei, Xingjun Zhang, Witold Pedrycz, Longxiang Wang, Jie Zhao

CoRR, 2024

Multi-Domain Evolutionary Optimization of Network Structures.

Jie Zhao, Kang Hao Cheong, Yaochu Jin

CoRR, 2024

2023

Obfuscating Community Structure in Complex Network With Evolutionary Divide-and-Conquer Strategy.

Jie Zhao, Kang Hao Cheong

IEEE Trans. Evol. Comput., December, 2023

Multi-objective squirrel search algorithm for EEG feature selection.

Chao Wang, Songjie Li, Miao Shi, Jie Zhao, Tao Wen, U. Rajendra Acharya, Nenggang Xie, Kang Hao Cheong

J. Comput. Sci., November, 2023

The intuitive decision preference and EEG features based on commonality heuristic.

Wanying Jia, Songjie Li, Shao Qian, Meng Wang, Wei Bao, Jie Zhao, Kang Hao Cheong, Nenggang Xie

Comput. Biol. Medicine, June, 2023

Identification of influential users with cost minimization via an improved moth flame optimization.

Chao Wang, Liangliang Ma, Lei Ma, Joel Weijia Lai, Jie Zhao, Lu Wang, Kang Hao Cheong

J. Comput. Sci., March, 2023

A Self-Adaptive Evolutionary Deception Framework for Community Structure.

Jie Zhao, Zhen Wang, Jinde Cao, Kang Hao Cheong

IEEE Trans. Syst. Man Cybern. Syst., 2023

Early identification of diffusion source in complex networks with evidence theory.

Jie Zhao, Kang Hao Cheong

Inf. Sci., 2023

An efficient salp swarm algorithm based on scale-free informed followers with self-adaption weight.

Chao Wang, Ren-qian Xu, Lei Ma, Jie Zhao, Lu Wang, Nenggang Xie, Kang Hao Cheong

Appl. Intell., 2023

2022

The random walk-based gravity model to identify influential nodes in complex networks.

Jie Zhao, Tao Wen, Hadi Jahanshahi, Kang Hao Cheong

Inf. Sci., 2022

2021

Complex Network Modeling of Evidence Theory.

Jie Zhao, Yong Deng

IEEE Trans. Fuzzy Syst., 2021

The identification of influential nodes based on structure similarity.

Jie Zhao, Yutong Song, Fan Liu, Yong Deng

Connect. Sci., 2021

2020

A Novel Model to Identify the Influential Nodes: Evidence Theory Centrality.

Jie Zhao, Yutong Song, Yong Deng

IEEE Access, 2020

2019

Performer selection in Human Reliability analysis: D numbers approach.

Jie Zhao, Yong Deng

Int. J. Comput. Commun. Control, 2019

Generalized Belief Entropy and Its Application in Identifying Conflict Evidence.

Fan Liu, Xiaozhuan Gao, Jie Zhao, Yong Deng

IEEE Access, 2019