Mengqi Xue

Orcid: 0000-0003-4936-4887

According to our database1, Mengqi Xue authored at least 23 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Survey of Deep Learning for Low-shot Object Detection.
ACM Comput. Surv., May, 2024

2023
Constituent Attention for Vision Transformers.
Comput. Vis. Image Underst., December, 2023

Knowledge Amalgamation for Object Detection With Transformers.
IEEE Trans. Image Process., 2023

Jointly Complementary&Competitive Influence Maximization with Concurrent Ally-Boosting and Rival-Preventing.
CoRR, 2023

Schema Inference for Interpretable Image Classification.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learn decision trees with deep visual primitives.
J. Vis. Commun. Image Represent., 2022

Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes.
CoRR, 2022

A Survey of Neural Trees.
CoRR, 2022

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition.
CoRR, 2022

Stability of multi-dimensional switched systems with an application to open multi-agent systems.
Autom., 2022

Leader selection in networks under switching topologies with antagonistic interactions.
Autom., 2022

Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Meta-attention for ViT-backed Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Tree-Like Branching Network for Multi-class Classification.
ICO, 2021

Tree-Like Decision Distillation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Practical output synchronization for asynchronously switched multi-agent systems with adaption to fast-switching perturbations.
Autom., 2020

2019
Switching Stabilization for Type-2 Fuzzy Systems With Network-Induced Packet Losses.
IEEE Trans. Cybern., 2019

Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Model Approximation for Switched Genetic Regulatory Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

2017
Stabilization of fuzzy-modeled networked system with packet dropouts: An MDADT-based switching approach.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017


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