Mengqi Xue

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Topics

Reinforcement Learning

Image Recognition

Top Venues

Publications

Heran Duan, Zhanxia Zhu, Chong Sun, Jie Li, Chuang Wang, Mengqi Xue
Research on Intelligent Evasion Methods for UAV Based on Deep Reinforcement Learning. ICIT (2024)
Haoling Li, Changhao Li, Mengqi Xue, Gongfan Fang, Sheng Zhou, Zunlei Feng, Huiqiong Wang, Yong Wang, Lechao Cheng, Mingli Song, Jie Song
PruningBench: A Comprehensive Benchmark of Structural Pruning. CoRR (2024)
Qihan Huang, Haofei Zhang, Mengqi Xue, Jie Song, Mingli Song
A Survey of Deep Learning for Low-shot Object Detection. ACM Comput. Surv. 56 (5) (2024)
Jiarui Duan, Haoling Li, Haofei Zhang, Hao Jiang, Mengqi Xue, Li Sun, Mingli Song, Jie Song
On the Evaluation Consistency of Attribution-based Explanations. CoRR (2024)
Qihao Shi, Wenjie Tian, Wujian Yang, Mengqi Xue, Can Wang, Minghui Wu
Jointly Complementary&Competitive Influence Maximization with Concurrent Ally-Boosting and Rival-Preventing. CoRR (2023)
Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation. CVPR (2023)
Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song
Schema Inference for Interpretable Image Classification. CoRR (2023)
Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song
Knowledge Amalgamation for Object Detection With Transformers. IEEE Trans. Image Process. 32 (2023)
Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song
Schema Inference for Interpretable Image Classification. ICLR (2023)
Haoling Li, Mengqi Xue, Jie Song, Haofei Zhang, Wenqi Huang, Lingyu Liang, Mingli Song
Constituent Attention for Vision Transformers. Comput. Vis. Image Underst. 237 (2023)
Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation. CoRR (2023)
Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song, Yongcheng Jing, Mingli Song
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks. ICCV (2023)
Haofei Zhang, Jiarui Duan, Mengqi Xue, Jie Song, Li Sun, Mingli Song
Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training. CVPR (2022)
Qihan Huang, Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song
Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes. CoRR (2022)
Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song
Meta-attention for ViT-backed Continual Learning. CVPR (2022)
Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song
Meta-attention for ViT-backed Continual Learning. CoRR (2022)
Haoling Li, Jie Song, Mengqi Xue, Haofei Zhang, Jingwen Ye, Lechao Cheng, Mingli Song
A Survey of Neural Trees. CoRR (2022)
Mengqi Xue, Qihan Huang, Haofei Zhang, Lechao Cheng, Jie Song, Minghui Wu, Mingli Song
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. CoRR (2022)
Mengqi Xue, Yang Tang, Wei Ren, Feng Qian
Stability of multi-dimensional switched systems with an application to open multi-agent systems. Autom. 146 (2022)
Kaile Chen, Wangli He, Qing-Long Han, Mengqi Xue, Yang Tang
Leader selection in networks under switching topologies with antagonistic interactions. Autom. 142 (2022)
Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song
Knowledge Amalgamation for Object Detection with Transformers. CoRR (2022)
Mengqi Xue, Haofei Zhang, Qihan Huang, Jie Song, Mingli Song
Learn decision trees with deep visual primitives. J. Vis. Commun. Image Represent. 89 (2022)
Haofei Zhang, Jiarui Duan, Mengqi Xue, Jie Song, Li Sun, Mingli Song
Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training. CoRR (2021)
Mengqi Xue, Jie Song, Li Sun, Mingli Song
Tree-Like Branching Network for Multi-class Classification. ICO (2021)
Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. CoRR (2021)
Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. IJCAI (2021)
Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song
Tree-Like Decision Distillation. CVPR (2021)
Mengqi Xue, Yang Tang, Wei Ren, Feng Qian
Stability of Multi-Dimensional Switched Systems with an Application to Open Multi-Agent Systems. CoRR (2020)
Mengqi Xue, Yang Tang, Wei Ren, Feng Qian
Practical output synchronization for asynchronously switched multi-agent systems with adaption to fast-switching perturbations. Autom. 116 (2020)
Mengqi Xue, Yang Tang, Ligang Wu, Weimin Zhong, Feng Qian
Switching Stabilization for Type-2 Fuzzy Systems With Network-Induced Packet Losses. IEEE Trans. Cybern. 49 (7) (2019)
Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. ICCV (2019)
Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. CoRR (2019)
Mengqi Xue, Yang Tang, Ligang Wu, Feng Qian
Model Approximation for Switched Genetic Regulatory Networks. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Mengqi Xue, Yang Tang, Ligang Wu, Feng Qian
Stabilization of fuzzy-modeled networked system with packet dropouts: An MDADT-based switching approach. IECON (2017)