Mengqi Xue

According to our database, Mengqi Xue authored at least 31 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Network synchronizability enhancement via adding antagonistic interactions.

Yue Song, Xiaoqin Liu, Dingmei Wang, Pengfei Gao, Mengqi Xue

Auton. Intell. Syst., December, 2024

Leader Selection in Impulsive Multiagent Systems With Switching Topologies.

Kaile Chen, Mengqi Xue, Jiahao Huang, Wen Yang, Wei Xing Zheng, Yang Tang

IEEE Trans. Cybern., November, 2024

Practical Consensus Tracking of Asynchronously Switched Multiagent Systems.

Mengqi Xue, Yang Tang, Wei Ren, Feng Qian

IEEE Trans. Autom. Control., November, 2024

V2V-Based Cooperative Control of Heterogeneous CAV Platoons: An Intelligent VO-IDA Approach.

Yunfei Yin, Yuanlong Wei, Zejiao Dong, Mengqi Xue, Sergio Vazquez, Ligang Wu

IEEE Internet Things J., November, 2024

A Survey of Deep Learning for Low-shot Object Detection.

Qihan Huang, Haofei Zhang, Mengqi Xue, Jie Song, Mingli Song

ACM Comput. Surv., May, 2024

LG-CAV: Train Any Concept Activation Vector with Language Guidance.

Qihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu, Huiqiong Wang, Hao Jiang, Xingen Wang, Mingli Song

CoRR, 2024

PruningBench: A Comprehensive Benchmark of Structural Pruning.

Haoling Li, Changhao Li, Mengqi Xue, Gongfan Fang, Sheng Zhou, Zunlei Feng, Huiqiong Wang, Yong Wang, Lechao Cheng, Mingli Song, Jie Song

CoRR, 2024

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

Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Research on Intelligent Evasion Methods for UAV Based on Deep Reinforcement Learning.

Heran Duan, Zhanxia Zhu, Chong Sun, Jie Li, Chuang Wang, Mengqi Xue

Proceedings of the IEEE International Conference on Industrial Technology, 2024

On the Evaluation Consistency of Attribution-Based Explanations.

Jiarui Duan, Haoling Li, Haofei Zhang, Hao Jiang, Mengqi Xue, Li Sun, Mingli Song, Jie Song

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Constituent Attention for Vision Transformers.

Haoling Li, Mengqi Xue, Jie Song, Haofei Zhang, Wenqi Huang, Lingyu Liang, Mingli Song

Comput. Vis. Image Underst., December, 2023

Knowledge Amalgamation for Object Detection With Transformers.

Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song

IEEE Trans. Image Process., 2023

Schema Inference for Interpretable Image Classification.

Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks.

Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song, Yongcheng Jing, Mingli Song

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation.

Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learn decision trees with deep visual primitives.

Mengqi Xue, Haofei Zhang, Qihan Huang, Jie Song, Mingli Song

J. Vis. Commun. Image Represent., 2022

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

Qihan Huang, Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song

CoRR, 2022

A Survey of Neural Trees.

Haoling Li, Jie Song, Mengqi Xue, Haofei Zhang, Jingwen Ye, Lechao Cheng, Mingli Song

CoRR, 2022

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

Mengqi Xue, Qihan Huang, Haofei Zhang, Lechao Cheng, Jie Song, Minghui Wu, Mingli Song

CoRR, 2022

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

Mengqi Xue, Yang Tang, Wei Ren, Feng Qian

Autom., 2022

Leader selection in networks under switching topologies with antagonistic interactions.

Kaile Chen, Wangli He, Qing-Long Han, Mengqi Xue, Yang Tang

Autom., 2022

Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training.

Haofei Zhang, Jiarui Duan, Mengqi Xue, Jie Song, Li Sun, Mingli Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Meta-attention for ViT-backed Continual Learning.

Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation.

Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Tree-Like Branching Network for Multi-class Classification.

Mengqi Xue, Jie Song, Li Sun, Mingli Song

ICO, 2021

Tree-Like Decision Distillation.

Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song

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.

Mengqi Xue, Yang Tang, Wei Ren, Feng Qian

Autom., 2020

2019

Switching Stabilization for Type-2 Fuzzy Systems With Network-Induced Packet Losses.

Mengqi Xue, Yang Tang, Ligang Wu, Weimin Zhong, Feng Qian

IEEE Trans. Cybern., 2019

Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation.

Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Model Approximation for Switched Genetic Regulatory Networks.

Mengqi Xue, Yang Tang, Ligang Wu, Feng Qian

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Stabilization of fuzzy-modeled networked system with packet dropouts: An MDADT-based switching approach.

Mengqi Xue, Yang Tang, Ligang Wu, Feng Qian

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017