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2020 – today
- 2025
[i15]Yuechen Xie, Jie Song, Mengqi Xue, Haofei Zhang, Xingen Wang, Bingde Hu, Genlang Chen, Mingli Song:
Dataset Ownership Verification in Contrastive Pre-trained Models. CoRR abs/2502.07276 (2025)- 2024
- [j13]Yue Song
, Xiaoqin Liu, Dingmei Wang, Pengfei Gao, Mengqi Xue:
Network synchronizability enhancement via adding antagonistic interactions. Auton. Intell. Syst. 4(1): 29 (2024) - [j12]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): 113:1-113:37 (2024) - [j11]Yunfei Yin, Yuanlong Wei, Zejiao Dong, Mengqi Xue, Sergio Vazquez, Ligang Wu:
V2V-Based Cooperative Control of Heterogeneous CAV Platoons: An Intelligent VO-IDA Approach. IEEE Internet Things J. 11(22): 36257-36271 (2024) - [j10]Mengqi Xue, Yang Tang, Wei Ren, Feng Qian:
Practical Consensus Tracking of Asynchronously Switched Multiagent Systems. IEEE Trans. Autom. Control. 69(11): 7758-7772 (2024) - [j9]Kaile Chen, Mengqi Xue, Jiahao Huang, Wen Yang, Wei Xing Zheng, Yang Tang:
Leader Selection in Impulsive Multiagent Systems With Switching Topologies. IEEE Trans. Cybern. 54(11): 6384-6396 (2024) - [c14]Jiarui Duan, Haoling Li, Haofei Zhang, Hao Jiang, Mengqi Xue, Li Sun, Mingli Song, Jie Song:
On the Evaluation Consistency of Attribution-Based Explanations. ECCV (70) 2024: 206-224 - [c13]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: 1-6 - [c12]Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin:
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. IJCAI 2024: 1516-1524 - [c11]Qihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu, Huiqiong Wang, Hao Jiang, Xingen Wang, Mingli Song:
LG-CAV: Train Any Concept Activation Vector with Language Guidance. NeurIPS 2024 - [i14]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 abs/2406.12315 (2024) - [i13]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 abs/2407.19471 (2024) - [i12]Qihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu, Huiqiong Wang, Hao Jiang, Xingen Wang, Mingli Song:
LG-CAV: Train Any Concept Activation Vector with Language Guidance. CoRR abs/2410.10308 (2024) - 2023
- [j8]Haoling Li, Mengqi Xue, Jie Song, Haofei Zhang, Wenqi Huang, Lingyu Liang, Mingli Song:
Constituent Attention for Vision Transformers. Comput. Vis. Image Underst. 237: 103838 (2023) - [j7]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: 2093-2106 (2023) - [c10]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: 20176-20185 - [c9]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: 2011-2020 - [c8]Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song:
Schema Inference for Interpretable Image Classification. ICLR 2023 - [i11]Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song:
Schema Inference for Interpretable Image Classification. CoRR abs/2303.06635 (2023) - [i10]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 abs/2303.14666 (2023) - 2022
- [j6]Kaile Chen, Wangli He, Qing-Long Han, Mengqi Xue, Yang Tang:
Leader selection in networks under switching topologies with antagonistic interactions. Autom. 142: 110334 (2022) - [j5]Mengqi Xue, Yang Tang, Wei Ren, Feng Qian:
Stability of multi-dimensional switched systems with an application to open multi-agent systems. Autom. 146: 110644 (2022) - [j4]Mengqi Xue, Haofei Zhang, Qihan Huang, Jie Song, Mingli Song:
Learn decision trees with deep visual primitives. J. Vis. Commun. Image Represent. 89: 103682 (2022) - [c7]Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song:
Meta-attention for ViT-backed Continual Learning. CVPR 2022: 150-159 - [c6]Haofei Zhang, Jiarui Duan, Mengqi Xue, Jie Song, Li Sun, Mingli Song:
Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training. CVPR 2022: 8934-8943 - [i9]Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song:
Knowledge Amalgamation for Object Detection with Transformers. CoRR abs/2203.03187 (2022) - [i8]Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song:
Meta-attention for ViT-backed Continual Learning. CoRR abs/2203.11684 (2022) - [i7]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 abs/2208.10431 (2022) - [i6]Haoling Li, Jie Song, Mengqi Xue, Haofei Zhang, Jingwen Ye, Lechao Cheng, Mingli Song:
A Survey of Neural Trees. CoRR abs/2209.03415 (2022) - [i5]Qihan Huang, Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song:
Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes. CoRR abs/2212.05946 (2022) - 2021
- [c5]Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song:
Tree-Like Decision Distillation. CVPR 2021: 13488-13497 - [c4]Mengqi Xue, Jie Song, Li Sun, Mingli Song:
Tree-Like Branching Network for Multi-class Classification. ICO 2021: 175-184 - [c3]Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song:
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. IJCAI 2021: 3228-3234 - [i4]Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song:
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. CoRR abs/2105.04181 (2021) - [i3]Haofei Zhang, Jiarui Duan, Mengqi Xue, Jie Song, Li Sun, Mingli Song:
Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training. CoRR abs/2112.03552 (2021) - 2020
- [j3]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: 108917 (2020) - [i2]Mengqi Xue, Yang Tang, Wei Ren, Feng Qian:
Stability of Multi-Dimensional Switched Systems with an Application to Open Multi-Agent Systems. CoRR abs/2001.00435 (2020)
2010 – 2019
- 2019
- [j2]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): 2591-2604 (2019) - [c2]Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. ICCV 2019: 3503-3512 - [i1]Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. CoRR abs/1908.07121 (2019) - 2018
- [j1]Mengqi Xue, Yang Tang, Ligang Wu, Feng Qian:
Model Approximation for Switched Genetic Regulatory Networks. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3404-3417 (2018) - 2017
- [c1]Mengqi Xue, Yang Tang, Ligang Wu, Feng Qian:
Stabilization of fuzzy-modeled networked system with packet dropouts: An MDADT-based switching approach. IECON 2017: 7227-7232
Coauthor Index
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