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Publications
Bold = Ping Guo; † = equal contribution.
See also Google Scholar
and DBLP.
Conference Papers
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CVPR'2026
Few-for-Many Personalized Federated Learning
Ping Guo, Tiantian Zhang, Xi Lin, Xiang Li, Zhi-Ri Tang, Qingfu Zhang
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AAAI'2026
CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models
Ping Guo, Qingfu Zhang, Xi Lin
arXiv Code
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CVPR'2025
MOS-Attack: A Scalable Multi-Objective Adversarial Attack Framework
Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang
PDF Code DOI
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NeurIPS'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
arXiv Code
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GECCO'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
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CEC'2025
Population Initialization for Evolutionary Multi-objective Optimization: A Short Review
Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
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NTCI'2025
Control of Multi-Zone HVAC Systems via Neurodynamic Optimization
Yanghe Zou, Ping Guo, Zhongying Chen
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GECCO'2024
L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks
Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang
Code DOI
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PPSN'2024
LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection
Cheng Gong, Ping Guo, Tianye Shu, Qingfu Zhang, Hisao Ishibuchi
DOI
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EMO'2023
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables
Ping Guo, Qingfu Zhang, Xi Lin
DOI
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USENIX Security'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
Link
Journal Articles
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Expert Syst. Appl.
A Historical Search-Guided Evolutionary Framework for Dynamic Multiobjective Optimization
Qingling Zhu, Jiahao Fu, Ping Guo, Qiuzhen Lin, Ka-Chun Wong, Jianqiang Li
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IEEE TETCI
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume
Ping Guo, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang
PDF DOI
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IEEE TBD
EvoVerilog: Large Language Model Assisted Evolution of Verilog Code
Ping Guo†, Yiting Wang†, Wanghao Ye, Yexiao He, Ziyao Wang, Xiaopeng Dai, Ang Li, Qingfu Zhang
arXiv
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IEEE TBD
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks
Ping Guo, Xiang Li, Xi Lin, Zhongying Chen, Qingchuan Zhao, Sheng Zheng, Chaoning Zhang, Qingfu Zhang
arXiv
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ACM Comput. Surv.
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
arXiv
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IEEE TEVC
DPP-HSS: Towards Fast and Scalable Hypervolume Subset Selection for Many-objective Optimization
Cheng Gong, Yang Nan, Ke Shang, Ping Guo, Hisao Ishibuchi, Qingfu Zhang
DOI
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IEEE TBD
EvoEngineer: Mastering Automated CUDA Kernel Code Evolution with Large Language Models
Ping Guo, Chenyu Zhu, Siyuan Chen, Fei Liu, Xi Lin, Zhichao Lu, Kuien Liu, Chaoning Zhang, Qingfu Zhang
arXiv
Preprints & Under Review
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Preprint
LLM4AD: A Platform for Algorithm Design with Large Language Model
Fei Liu, Rui Zhang, Zhuoliang Xie, Rui Sun, Kai Li, Qinglong Hu, Ping Guo, Xi Lin, Xialiang Tong, Mingxuan Yuan, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
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Preprint
Code Evolution for Control: Synthesizing Policies via LLM-Driven Evolutionary Search
Ping Guo, Chao Li, Yinglan Feng, Chaoning Zhang
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Preprint
Quality-Diversity Optimization as Multi-Objective Optimization
Xi Lin†, Ping Guo†, Yilu Liu, Qingfu Zhang, Jianyong Sun
arXiv