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Journal Articles
- 2024
[j8]Yishan Li, Yanming Guo, Yulun Wu, Yuxiang Xie, Mingrui Lao, Tianyuan Yu, Yirun Ruan:
RDAT: an efficient regularized decoupled adversarial training mechanism. Int. J. Multim. Inf. Retr. 13(2): 24 (2024)- [j7]Qingtao Pan, Haosen Wang, Jun Tang
, Zhaolin Lv, Zining Wang, Xian Wu, Yirun Ruan, Tianyuan Yv, Mingrui Lao:
EIOA: A computing expectation-based influence evaluation method in weighted hypergraphs. Inf. Process. Manag. 61(6): 103856 (2024) - 2023
- [j6]Kai He, Nan Pu, Mingrui Lao, Erwin M. Bakker, Michael S. Lew:
Dual selective knowledge transfer for few-shot classification. Appl. Intell. 53(22): 27779-27789 (2023) - [j5]Kai He, Nan Pu, Mingrui Lao, Michael S. Lew:
Few-shot and meta-learning methods for image understanding: a survey. Int. J. Multim. Inf. Retr. 12(2): 14 (2023) - [j4]Wei Chen, Haoyang Xu, Nan Pu, Yu Liu, Mingrui Lao, Weiping Wang, Li Liu, Michael S. Lew:
Lifelong Fine-Grained Image Retrieval. IEEE Trans. Multim. 25: 7533-7544 (2023) - 2021
- [j3]Mingrui Lao, Yanming Guo, Nan Pu, Wei Chen, Yu Liu, Michael S. Lew:
Multi-stage hybrid embedding fusion network for visual question answering. Neurocomputing 423: 541-550 (2021) - 2018
- [j2]Mingrui Lao, Yanming Guo, Hui Wang, Xin Zhang:
Cross-Modal Multistep Fusion Network With Co-Attention for Visual Question Answering. IEEE Access 6: 31516-31524 (2018) - [j1]Mingrui Lao, Yanming Guo, Hui Wang, Xin Zhang:
Multimodal Local Perception Bilinear Pooling for Visual Question Answering. IEEE Access 6: 57923-57932 (2018)
Conference and Workshop Papers
- 2024
- [c11]Yulun Wu, Mingrui Lao, Yanming Guo, Dongmei Chen, Tianyuan Yu:
Boosting Adversarial Robustness Distillation Via Hybrid Decomposed Knowledge. ICASSP 2024: 4715-4719 - [c10]Hao Yang, Min Wang, Qi Wang, Mingrui Lao, Yun Zhou:
Balanced Confidence Calibration for Graph Neural Networks. KDD 2024: 3747-3757 - [c9]Xianghu Yue, Xueyi Zhang, Yiming Chen, Chengwei Zhang, Mingrui Lao, Huiping Zhuang, Xinyuan Qian, Haizhou Li:
MMAL: Multi-Modal Analytic Learning for Exemplar-Free Audio-Visual Class Incremental Tasks. ACM Multimedia 2024: 2428-2437 - [c8]Chengwei Zhang, Xueyi Zhang, Xianghu Yue, Mingrui Lao, Tao Jiang, Jiawei Wang, Fubo Zhang, Longyong Chen:
PD-Refiner: An Underlying Surface Inheritance Refiner with Adaptive Edge-Aware Supervision for Point Cloud Denoising. ACM Multimedia 2024: 3381-3390 - [c7]Hao Yang, Min Wang, Zhengfei Yu, Zhi Zeng, Mingrui Lao, Yun Zhou:
Maximizing Feature Distribution Variance for Robust Neural Networks. ACM Multimedia 2024: 9943-9951 - 2023
- [c6]Mingrui Lao, Nan Pu, Yu Liu, Kai He, Erwin M. Bakker, Michael S. Lew:
COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering. AAAI 2023: 12995-13003 - [c5]Mingrui Lao, Nan Pu, Yu Liu, Zhun Zhong, Erwin M. Bakker, Nicu Sebe, Michael S. Lew:
Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation. ACM Multimedia 2023: 4747-4758 - [c4]Mingrui Lao, Nan Pu, Zhun Zhong, Nicu Sebe, Michael S. Lew:
FedVQA: Personalized Federated Visual Question Answering over Heterogeneous Scenes. ACM Multimedia 2023: 7796-7807 - 2022
- [c3]Mingrui Lao, Yanming Guo, Wei Chen, Nan Pu, Michael S. Lew:
VQA-BC: Robust Visual Question Answering Via Bidirectional Chaining. ICASSP 2022: 4833-4837 - 2021
- [c2]Mingrui Lao, Yanming Guo, Yu Liu, Michael S. Lew:
A Language Prior Based Focal Loss for Visual Question Answering. ICME 2021: 1-6 - [c1]Mingrui Lao, Yanming Guo, Yu Liu, Wei Chen, Nan Pu, Michael S. Lew:
From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering. ACM Multimedia 2021: 3370-3379
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