Ke Tang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 48

Top Topics

Traveling Salesman

Submodular Functions

Cooperative Coevolution

Evolutionary Algorithm

Top Venues

IEEE Trans. Evol. Comput.

ACM Trans. Evol. Learn. Optim.

Publications

Zhiyao Zhang, Yong Wang, Jiao Liu, Guangyong Sun, Ke Tang
A Two-Phase Kriging-Assisted Evolutionary Algorithm for Expensive Constrained Multiobjective Optimization Problems. IEEE Trans. Syst. Man Cybern. Syst. 54 (8) (2024)
Yayu Zhang, Yuhua Qian, Guoshuai Ma, Xinyan Liang, Guoqing Liu, Qingfu Zhang, Ke Tang
ESSR: Evolving Sparse Sharing Representation for Multitask Learning. IEEE Trans. Evol. Comput. 28 (3) (2024)
Wenjing Hong, Cheng Chen, Zexuan Zhu, Ke Tang
An Elite Archive-Assisted Multi-Objective Evolutionary Algorithm for mRNA Design. CEC (2024)
Shengcai Liu, Zhiyuan Wang, Yew-Soon Ong, Xin Yao, Ke Tang
Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization. CoRR (2024)
Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
Large Language Models as Evolutionary Optimizers. CEC (2024)
Tianyu Zhang, Chengbin Hou, Rui Jiang, Xuegong Zhang, Chenghu Zhou, Ke Tang, Hairong Lv
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs. CoRR (2024)
Jiahao Wu, Ning Lu, Zeiyu Dai, Wenqi Fan, Shengcai Liu, Qing Li, Ke Tang
Backdoor Graph Condensation. CoRR (2024)
Shengcai Liu, Ning Lu, Wenjing Hong, Chao Qian, Ke Tang
Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization. ACM Trans. Evol. Learn. Optim. 4 (3) (2024)
Ning Lu, Shengcai Liu, Rui He, Yew-Soon Ong, Qi Wang, Ke Tang
Large Language Models can be Guided to Evade AI-generated Text Detection. Trans. Mach. Learn. Res. 2024 (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, 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)
Hui Ouyang, Cheng Chen, Ke Tang
Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning. Intelligent Information Processing (1) (2024)
Tong Guo, Yi Mei, Ke Tang, Wenbo Du
A Knee-Guided Evolutionary Algorithm for Multi-Objective Air Traffic Flow Management. IEEE Trans. Evol. Comput. 28 (4) (2024)
Guiying Li, Peng Yang, Chao Qian, Richang Hong, Ke Tang
Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Shengcai Liu, Yu Zhang, Ke Tang, Xin Yao
How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem. IEEE Comput. Intell. Mag. 18 (3) (2023)
Zhenwei Zhang, Ke Chen, Ke Tang, Yuping Duan
Fast Multi-Grid Methods for Minimizing Curvature Energies. IEEE Trans. Image Process. 32 (2023)
Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang
Migrant Resettlement by Evolutionary Multi-objective Optimization. CoRR (2023)
Chao Qian, Dan-Xuan Liu, Chao Feng, Ke Tang
Multi-objective evolutionary algorithms are generally good: Maximizing monotone submodular functions over sequences. Theor. Comput. Sci. 943 (2023)
Xuanfeng Li, Shengcai Liu, Jin Wang, Xiao Chen, Yew-Soon Ong, Ke Tang
Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications. CoRR (2023)
Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang
Multi-Domain Learning From Insufficient Annotations. CoRR (2023)
Shaofeng Zhang, Shengcai Liu, Ke Tang
A Sample Reuse Strategy for Dynamic Influence Maximization Problem. CoRR (2023)
Peilan Xu, Wenjian Luo, Xin Lin, Yatong Chang, Ke Tang
Difficulty and Contribution-Based Cooperative Coevolution for Large-Scale Optimization. IEEE Trans. Evol. Comput. 27 (5) (2023)
Shaofeng Zhang, Shengcai Liu, Ke Tang
A Sample Reuse Strategy for Dynamic Influence Maximization Problem. BIC-TA (2) (2023)
Hui Ouyang, Cheng Chen, Ke Tang
Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning. CoRR (2023)
Rui He, Zeyu Dai, Shan He, Ke Tang
Perturbation-Based Two-Stage Multi-Domain Active Learning. CoRR (2023)
Muyao Zhong, Shengcai Liu, Bingdong Li, Haobo Fu, Chao Qian, Ke Tang, Peng Yang
Pointer Networks Trained Better via Evolutionary Algorithms. CoRR (2023)
Wenjie Chen, Shengcai Liu, Yew-Soon Ong, Ke Tang
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization. CoRR (2023)
Donghui Zhao, Xiaofen Lu, Ke Tang
An Adaptive Knowledge Transfer Strategy for Evolutionary Dynamic Multi-objective Optimization. BIC-TA (1) (2023)
Ning Lu, Shengcai Liu, Zhirui Zhang, Qi Wang, Haifeng Liu, Ke Tang
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend. CoRR (2023)
Shengcai Liu, Fu Peng, Ke Tang
Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles. AAAI (2023)
Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
Large Language Models as Evolutionary Optimizers. CoRR (2023)
Zeyu Dai, Shengcai Liu, Qing Li, Ke Tang
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack. ACM Trans. Intell. Syst. Technol. 14 (3) (2023)
Biyue Li, Tong Guo, Yi Mei, Yumeng Li, Jun Chen, Yu Zhang, Ke Tang, Wenbo Du
A multi-objective memetic algorithm with adaptive local search for airspace complexity mitigation. Swarm Evol. Comput. 83 (2023)
Wenjie Chen, Wenjing Hong, Hu Zhang, Peng Yang, Ke Tang
Multi-Fidelity Simulation Modeling for Discrete Event Simulation: An Optimization Perspective. IEEE Trans Autom. Sci. Eng. 20 (2) (2023)
Lan Tang, Xiaxi Li, Jinyuan Zhang, Guiying Li, Peng Yang, Ke Tang
Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding. CoRR (2023)
Ning Lu, Shengcai Liu, Rui He, Qi Wang, Ke Tang
Large Language Models can be Guided to Evade AI-Generated Text Detection. CoRR (2023)
Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Qing Li, Ke Tang
Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling. CoRR (2023)
Rui He, Shengcai Liu, Shan He, Ke Tang
Multi-Domain Active Learning: Literature Review and Comparative Study. IEEE Trans. Emerg. Top. Comput. Intell. 7 (3) (2023)
Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang
Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation. CoRR (2023)
Rui He, Zeyu Dai, Shan He, Ke Tang
Perturbation-Based Two-Stage Multi-Domain Active Learning. CIKM (2023)
Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang
Dataset Condensation for Recommendation. CoRR (2023)
Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang
Multi-Domain Learning from Insufficient Annotations. ECAI (2023)
Hongze Wang, Xuerong Li, Wenjing Hong, Ke Tang
Multi-objective approaches to portfolio optimization with market impact costs. Memetic Comput. 14 (4) (2022)
Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. NeurIPS (2022)
Zhiyuan Wang, Cheng Chen, Ke Tang
Zero-Shot Knowledge Graph Completion for Recommendation System. IDEAL (2022)
Shengcai Liu, Fu Peng, Ke Tang
Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles. CoRR (2022)
Lan Tang, Xiaxi Li, Jinyuan Zhang, Guiying Li, Peng Yang, Ke Tang
Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding. BIC-TA (2022)