Jianmin Guo

Orcid: 0000-0001-6872-6383

According to our database1, Jianmin Guo authored at least 19 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Inferring bifurcation diagrams of two distinct chaotic systems by a single machine.
CoRR, April, 2026

R<sup>2</sup>BD: A Reconstruction-Based Method for Generalizable and Efficient Detection of Fake Images.
CoRR, January, 2026

2025
A 32 Gb/s 0.36 pJ/bit 3 nm Chiplet IO Using 2.5-D CoWoS Package With Real-Time and Per-Lane CDR and Bathtub Monitoring.
IEEE J. Solid State Circuits, April, 2025

ToolSafety: A Comprehensive Dataset for Enhancing Safety in LLM-Based Agent Tool Invocations.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Superpose Task-specific Features for Model Merging.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
Cube-Evo: A Query-Efficient Black-Box Attack on Video Classification System.
IEEE Trans. Reliab., June, 2024

2023
Prediction of the effects of small molecules on the gut microbiome using machine learning method integrating with optimal molecular features.
BMC Bioinform., December, 2023

SIRSM Model with Media Information Influence.
Proceedings of the 23rd IEEE/ACIS International Conference on Computer and Information Science, 2023

Stability Analysis and H<sub>∞</sub> Control for Singular LPV Systems with Time-Delay.
Proceedings of the 23rd IEEE/ACIS International Conference on Computer and Information Science, 2023

2022
RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems.
IEEE Trans. Software Eng., 2022

Study of Multiobjective Genetic Algorithm on Taylor External Fixation.
IEEE Access, 2022

2021
Coverage Guided Differential Adversarial Testing of Deep Learning Systems.
IEEE Trans. Netw. Sci. Eng., 2021

AdvDoor: adversarial backdoor attack of deep learning system.
Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2019
RNN-Test: Adversarial Testing Framework for Recurrent Neural Network Systems.
CoRR, 2019

Leopard: identifying vulnerable code for vulnerability assessment through program metrics.
Proceedings of the 41st International Conference on Software Engineering, 2019

2018
Solutions of the autonomous Kirchhoff type equations in RN.
Appl. Math. Lett., 2018

DLFuzz: differential fuzzing testing of deep learning systems.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

2017
Complementary peak reducing signals for TDCS PAPR reduction.
IET Commun., 2017


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