Yifei Gao

Orcid: 0000-0002-0222-218X

According to our database1, Yifei Gao authored at least 27 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
PGGait: Gait Recognition Based on Millimeter-Wave Radar Spatio-Temporal Sensing of Multidimensional Point Clouds.
Sensors, 2024

AIGCs Confuse AI Too: Investigating and Explaining Synthetic Image-induced Hallucinations in Large Vision-Language Models.
CoRR, 2024

2023
Aging-Aware Critical Path Selection via Graph Attention Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

A new strategy to identify ADAM12 and PDGFRB as a novel prognostic biomarker for matrine regulates gastric cancer via high throughput chip mining and computational verification.
Comput. Biol. Medicine, November, 2023

Identification of a disulfidptosis-related genes signature for prognostic implication in lung adenocarcinoma.
Comput. Biol. Medicine, October, 2023

Single-cell RNA sequencing integrated with bulk RNA sequencing analysis reveals diagnostic and prognostic signatures and immunoinfiltration in gastric cancer.
Comput. Biol. Medicine, September, 2023

Integrated analysis of single-cell RNA-seq and bulk RNA-seq unravels T cell-related prognostic risk model and tumor immune microenvironment modulation in triple-negative breast cancer.
Comput. Biol. Medicine, July, 2023

An Attention-Based Spatio-temporal Model for Methane Concentration Forecasting in Coal Mine.
Neural Process. Lett., 2023

Causality is all you need.
CoRR, 2023

Empower Your Model with Longer and Better Context Comprehension.
CoRR, 2023

Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method.
CoRR, 2023

A Graph Convolutional Encoder-Decoder Model for Methane Concentration Forecasting in Coal Mines.
IEEE Access, 2023

Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SmallRace: Static Race Detection for Dynamic Languages - A Case on Smalltalk.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

FPGNN-ATPG: An Efficient Fault Parallel Automatic Test Pattern Generator.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

Fast and Accurate Wire Timing Estimation Based on Graph Learning.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Security Verification of RISC-V System Based on ISA Level Information Flow Tracking.
Proceedings of the 32nd IEEE Asian Test Symposium, 2023

Verifying RISC-V Privilege Transition Integrity Through Symbolic Execution.
Proceedings of the 32nd IEEE Asian Test Symposium, 2023

Graph-Learning-Driven Path-Based Timing Analysis Results Predictor from Graph-Based Timing Analysis.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022
Artificial Intelligence Security Competition (AISC).
CoRR, 2022

Game of Hide-and-Seek: Exposing Hidden Interfaces in Embedded Web Applications of IoT Devices.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Accelerating SoC Security Verification and Vulnerability Detection Through Symbolic Execution.
Proceedings of the 19th International SoC Design Conference, 2022

Investigating and Explaining the Frequency Bias in Image Classification.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

VRust: Automated Vulnerability Detection for Solana Smart Contracts.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
Drivers and Environmental Impacts of Vegetation Greening in a Semi-Arid Region of Northwest China since 2000.
Remote. Sens., 2021

Double-Stream Segmentation Network with Temporal Self-attention for Deepfake Video Detection.
Proceedings of the Digital Forensics and Watermarking - 20th International Workshop, 2021

AutoCEW: An Autonomous Cyberspace Early Warning Framework via Ensemble Learning.
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021


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