Ping Guo

According to our database, Ping Guo authored at least 21 papers between 2021 and 2026.

Collaborative distances:

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

2026

A Systematic Survey on Large Language Models for Algorithm Design.

Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Xi Lin, Zhe Zhao, Xialiang Tong, Kun Mao, Zhichao Lu, Zhenkun Wang, Mingxuan Yuan, Qingfu Zhang

ACM Comput. Surv., June, 2026

Few-for-Many Personalized Federated Learning.

Ping Guo, Tiantian Zhang, Xi Lin, Xiang Li, Zhi-Ri Tang, Qingfu Zhang

CoRR, March, 2026

Quality-Diversity Optimization as Multi-Objective Optimization.

Xi Lin, Ping Guo, Yilu Liu, Qingfu Zhang, Jianyong Sun

CoRR, February, 2026

A historical search-guided evolutionary framework for dynamic multiobjective optimization.

Qingling Zhu, Jiahao Fu, Ping Guo, Qiuzhen Lin, Ka-Chun Wong, Jianqiang Li

Expert Syst. Appl., 2026

CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models.

Ping Guo, Qingfu Zhang, Xi Lin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

DPP-HSS: Toward Fast and Scalable Hypervolume Subset Selection for Many-Objective Optimization.

Cheng Gong, Yang Nan, Ke Shang, Ping Guo, Hisao Ishibuchi, Qingfu Zhang

IEEE Trans. Evol. Comput., December, 2025

EvoEngineer: Mastering Automated CUDA Kernel Code Evolution with Large Language Models.

Ping Guo, Chenyu Zhu, Siyuan Chen, Fei Liu, Xi Lin, Zhichao Lu, Qingfu Zhang

CoRR, October, 2025

EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code.

Ping Guo, Yiting Wang, Wanghao Ye, Yexiao He, Ziyao Wang, Xiaopeng Dai, Ang Li, Qingfu Zhang

CoRR, August, 2025

Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume.

Ping Guo, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning.

Yiting Wang, Wanghao Ye, Ping Guo, Yexiao He, Ziyao Wang, Bowei Tian, Shwai He, Guoheng Sun, Zheyu Shen, Sihan Chen, Ankur Srivastava, Qingfu Zhang, Gang Qu, Ang Li

CoRR, April, 2025

Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems.

Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework.

Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Population Initialization for Evolutionary Multi-objective Optimization: A Short Review.

Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

A Systematic Survey on Large Language Models for Algorithm Design.

Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Zhe Zhao, Xi Lin, Xialiang Tong, Mingxuan Yuan, Zhichao Lu, Zhenkun Wang, Qingfu Zhang

CoRR, 2024

Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume.

Ping Guo, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang

CoRR, 2024

L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks.

Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang

CoRR, 2024

PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks.

Ping Guo, Zhiyuan Yang, Xi Lin, Qingchuan Zhao, Qingfu Zhang

CoRR, 2024

LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection.

Cheng Gong, Ping Guo, Tianye Shu, Qingfu Zhang, Hisao Ishibuchi

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks.

Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables.

Ping Guo, Qingfu Zhang, Xi Lin

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2021

Stars Can Tell: A Robust Method to Defend against GPS Spoofing Attacks using Off-the-shelf Chipset.

Shinan Liu, Xiang Cheng, Hanchao Yang, Yuanchao Shu, Xiaoran Weng, Ping Guo, Kexiong Curtis Zeng, Gang Wang, Yaling Yang

Proceedings of the 30th USENIX Security Symposium, 2021