Qianyu Guo

Orcid: 0000-0003-1560-1610

According to our database1, Qianyu Guo authored at least 26 papers between 2018 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Flexi-EIT: A Flexible and Reconfigurable Active Electrode Electrical Impedance Tomography System.
IEEE Trans. Biomed. Circuits Syst., February, 2024

Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image Attacking.
CoRR, 2024

LiDAR-Forest Dataset: LiDAR Point Cloud Simulation Dataset for Forestry Application.
CoRR, 2024

A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision.
CoRR, 2023

Retrieval-Augmented Generation for Large Language Models: A Survey.
CoRR, 2023

Flames: Benchmarking Value Alignment of Chinese Large Language Models.
CoRR, 2023

BACH: Black-Box Attacking on Deep Cross-Modal Hamming Retrieval Models.
Proceedings of the Database Systems for Advanced Applications, 2023

Plug-and-Play Feature Generation for Few-Shot Medical Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

RankDNN: Learning to Rank for Few-Shot Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
RankDNN: Learning to Rank for Few-shot Learning.
CoRR, 2022

Weakly Supervised Video Salient Object Detection via Point Supervision.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Understanding the Faults of JavaScript-Based Deep Learning Systems.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Weakly-Supervised Salient Object Detection Using Point Supervison.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Foreground-aware Siamese tracker with dynamic template in wireless sensor networks.
Ad Hoc Networks, 2021

When Distortion Meets Perceptual Quality: A Multi-task Learning Pipeline.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

A Thorax-Like Mesh Phantom for Testing Electrical Impedance Tomography System Performance.
Proceedings of the 19th IEEE International New Circuits and Systems Conference, 2021

Dual-Stream Network Based On Global Guidance for Salient Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2021

IconChecker: Anomaly Detection of Icon-Behaviors for Android Apps.
Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021

2020
SANST: A Self-Attentive Network for Next Point-of-Interest Recommendation.
CoRR, 2020

SADT: Syntax-Aware Differential Testing of Certificate Validation in SSL/TLS Implementations.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Audee: Automated Testing for Deep Learning Frameworks.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Multi-level Fusion Based Deep Convolutional Network for Image Quality Assessment.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
An Empirical Study Towards Characterizing Deep Learning Development and Deployment Across Different Frameworks and Platforms.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

A Geometric Convolutional Neural Network for 3D Object Detection.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms.
CoRR, 2018


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