Stabilization of fuzzy-modeled networked system with packet dropouts: An MDADT-based switching approach. - Mengqi Xue; Yang Tang; Ligang Wu 001; Feng Qian 004 (IECON, 2017)

Model Approximation for Switched Genetic Regulatory Networks. - Mengqi Xue; Yang Tang; Ligang Wu 001; Feng Qian 004 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. - Chengchao Shen; Mengqi Xue; Xinchao Wang; Jie Song 011; Li Sun; Mingli Song (ICCV, 2019)

Switching Stabilization for Type-2 Fuzzy Systems With Network-Induced Packet Losses. - Mengqi Xue; Yang Tang; Ligang Wu 001; Weimin Zhong; Feng Qian 004 (IEEE Trans. Cybern., 2019)

Practical output synchronization for asynchronously switched multi-agent systems with adaption to fast-switching perturbations. - Mengqi Xue; Yang Tang; Wei Ren 001; Feng Qian 004 (Autom., 2020)

Tree-Like Decision Distillation. - Jie Song 011; Haofei Zhang; Xinchao Wang; Mengqi Xue; Ying Chen; Li Sun; Dacheng Tao; Mingli Song (CVPR, 2021)

Tree-Like Branching Network for Multi-class Classification. - Mengqi Xue; Jie Song 011; Li Sun; Mingli Song (ICO, 2021)

KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. - Mengqi Xue; Jie Song 011; Xinchao Wang; Ying Chen; Xingen Wang; Mingli Song (IJCAI, 2021)

Meta-attention for ViT-backed Continual Learning. - Mengqi Xue; Haofei Zhang; Jie Song 011; Mingli Song (CVPR, 2022)

Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training. - Haofei Zhang; Jiarui Duan; Mengqi Xue; Jie Song 011; Li Sun; Mingli Song (CVPR, 2022)

Leader selection in networks under switching topologies with antagonistic interactions. - Kaile Chen; Wangli He; Qing-Long Han; Mengqi Xue; Yang Tang (Autom., 2022)

Stability of multi-dimensional switched systems with an application to open multi-agent systems. - Mengqi Xue; Yang Tang; Wei Ren 001; Feng Qian 004 (Autom., 2022)

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. - Mengqi Xue; Qihan Huang; Haofei Zhang; Lechao Cheng; Jie Song 011; Minghui Wu; Mingli Song (CoRR, 2022)

A Survey of Neural Trees. - Haoling Li; Jie Song 011; Mengqi Xue; Haofei Zhang; Jingwen Ye; Lechao Cheng; Mingli Song (CoRR, 2022)

Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes. - Qihan Huang; Mengqi Xue; Haofei Zhang; Jie Song 011; Mingli Song (CoRR, 2022)

Learn decision trees with deep visual primitives. - Mengqi Xue; Haofei Zhang; Qihan Huang; Jie Song 011; Mingli Song (J. Vis. Commun. Image Represent., 2022)

Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation. - Tianli Zhang; Mengqi Xue; Jiangtao Zhang; Haofei Zhang; Yu Wang 176; Lechao Cheng; Jie Song 011; Mingli Song (CVPR, 2023)

Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks. - Qihan Huang; Mengqi Xue; Wenqi Huang 002; Haofei Zhang; Jie Song 011; Yongcheng Jing; Mingli Song (ICCV, 2023)

Schema Inference for Interpretable Image Classification. - Haofei Zhang; Mengqi Xue; Xiaokang Liu; Kaixuan Chen 004; Jie Song 011; Mingli Song (ICLR, 2023)

Knowledge Amalgamation for Object Detection With Transformers. - Haofei Zhang; Feng Mao; Mengqi Xue; Gongfan Fang; Zunlei Feng; Jie Song 011; Mingli Song (IEEE Trans. Image Process., 2023)

Constituent Attention for Vision Transformers. - Haoling Li; Mengqi Xue; Jie Song 011; Haofei Zhang; Wenqi Huang 002; Lingyu Liang; Mingli Song (Comput. Vis. Image Underst., 2023)

On the Evaluation Consistency of Attribution-Based Explanations. - Jiarui Duan; Haoling Li; Haofei Zhang; Hao Jiang 014; Mengqi Xue; Li Sun; Mingli Song; Jie Song 011 (ECCV (70), 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 (ICIT, 2024)

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. - Mengqi Xue; Qihan Huang; Haofei Zhang; Jingwen Hu; Jie Song 011; Mingli Song; Canghong Jin (IJCAI, 2024)

LG-CAV: Train Any Concept Activation Vector with Language Guidance. - Qihan Huang; Jie Song 011; Mengqi Xue; Haofei Zhang; Bingde Hu; Huiqiong Wang; Hao Jiang 014; Xingen Wang; Mingli Song (NeurIPS, 2024)

PruningBench: A Comprehensive Benchmark of Structural Pruning. - Haoling Li; Changhao Li; Mengqi Xue; Gongfan Fang; Sheng Zhou 004; Zunlei Feng; Huiqiong Wang; Yong Wang; Lechao Cheng; Mingli Song; Jie Song 011 (CoRR, 2024)

A Survey of Deep Learning for Low-shot Object Detection. - Qihan Huang; Haofei Zhang; Mengqi Xue; Jie Song 011; Mingli Song (ACM Comput. Surv., 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 001 (IEEE Internet Things J., 2024)

Practical Consensus Tracking of Asynchronously Switched Multiagent Systems. - Mengqi Xue; Yang Tang; Wei Ren 001; Feng Qian 004 (IEEE Trans. Autom. Control., 2024)

Leader Selection in Impulsive Multiagent Systems With Switching Topologies. - Kaile Chen; Mengqi Xue; Jiahao Huang; Wen Yang 002; Wei Xing Zheng 001; Yang Tang (IEEE Trans. Cybern., 2024)

Network synchronizability enhancement via adding antagonistic interactions. - Yue Song; Xiaoqin Liu; Dingmei Wang; Pengfei Gao; Mengqi Xue (Auton. Intell. Syst., 2024)

Dataset Ownership Verification in Contrastive Pre-trained Models. - Yuechen Xie; Jie Song; Mengqi Xue; Haofei Zhang; Xingen Wang; Bingde Hu; Genlang Chen; Mingli Song (ICLR, 2025)

Practical Synchronization for Switched Multi-Agent Systems Under Nonvanishing Impulses. - Yuchao Xiong; Mengqi Xue; Kaile Chen; Yue Song (IEEE Control. Syst. Lett., 2025)

Inverse Chance Constrained Optimal Power Flow. - Shenglu Wang; Kairui Feng; Mengqi Xue; Yue Song (CoRR, 2025)

A Survey of Neural Trees: Co-Evolving Neural Networks and Decision Trees. - Haoling Li; Jie Song 011; Mengqi Xue; Haofei Zhang; Mingli Song (IEEE Trans. Neural Networks Learn. Syst., 2025)