Qianqian Tong

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Qianqian Tong 001 (Wuhan University, School of Computer Science, Wuhan, China)

Bibliography

2026

A Low-Latency Fraud Detection Layer for Detecting Adversarial Interaction Patterns in LLM-Powered Agents.

[BibT_eX]

[DOI]

CoRR, May, 2026

2025

LLM-Powered AI Agent Systems and Their Applications in Industry.

[BibT_eX]

[DOI]

Guannan Liang

Qianqian Tong

CoRR, May, 2025

Interpretable Recognition of Fused Magnesium Furnace Working Conditions with Deep Convolutional Stochastic Configuration Networks.

[BibT_eX]

[DOI]

CoRR, January, 2025

Bounding Box-Derived Mask Guidance Network for Accurate Surface Defect Detection.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

GEM-Style Constraints for PEFT with Dual Gradient Projection in LoRA.

[BibT_eX]

[DOI]

Brian Tekmen

Jason Yin

Qianqian Tong

Proceedings of the IEEE International Conference on Data Mining, 2025

2024

A self-adjusting transformer network for detecting transmission line defects.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2024

Stochastic Variance-Reduced Iterative Hard Thresholding in Graph Sparsity Optimization.

[BibT_eX]

[DOI]

Derek Fox

Samuel Hernandez

Qianqian Tong

Proceedings of the 2024 8th International Conference on Computer Science and Artificial Intelligence, 2024

2023

Stochastic privacy-preserving methods for nonconvex sparse learning.

[BibT_eX]

[DOI]

Inf. Sci., June, 2023

2022

Calibrating the adaptive learning rate to improve convergence of ADAM.

[BibT_eX]

[DOI]

Qianqian Tong

Guannan Liang

Jinbo Bi

Neurocomputing, 2022

Federated Optimization of ℓ0-norm Regularized Sparse Learning.

[BibT_eX]

[DOI]

Algorithms, 2022

2021

Asynchronous parallel stochastic Quasi-Newton methods.

[BibT_eX]

[DOI]

Parallel Comput., 2021

Multi-view spectral graph convolution with consistent edge attention for molecular modeling.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods.

[BibT_eX]

[DOI]

CoRR, 2021

Federated Nonconvex Sparse Learning.

[BibT_eX]

[DOI]

CoRR, 2021

A Defect Detection Method for Rail Surface and Fasteners Based on Deep Convolutional Neural Network.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2021

2020

Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data.

[BibT_eX]

[DOI]

Qianqian Tong

Guannan Liang

Jinbo Bi

CoRR, 2020

Effective Proximal Methods for Non-convex Non-smooth Regularized Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance.

[BibT_eX]

[DOI]

Qianqian Tong

Guannan Liang

Jinbo Bi

CoRR, 2019

Qianqian Tong

Known people with the same name:

Bibliography

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