Mingrui Lao

According to our database, Mingrui Lao authored at least 41 papers between 2018 and 2026.

Collaborative distances:

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

2026

PAL: Prompting analytic learning with missing modality for multi-modal class-incremental learning.

Xianghu Yue, Yiming Chen, Xueyi Zhang, Xiaoxue Gao, Mengling Feng, Mingrui Lao, Huiping Zhuang, Haizhou Li

Pattern Recognit., 2026

FSKD: A few-shot knowledge distillation framework for object tracking.

Yongqi Pan, Lailong Luo, Cheng Zhu, Mingrui Lao, Qianzhen Zhang, Xianqiang Zhu

Pattern Recognit., 2026

Closed-loop correction reprogramming for fine-grained visual prompting.

Xueyi Zhang, Yuan Liao, Siqi Cai, Mingrui Lao, Haizhou Li

Neural Networks, 2026

Overcoming semantic manifold deviation for robust multimodal violence detection with incomplete modality.

Jianan Zhu, Yanming Guo, Zheng Li, Lai Kang, Yirun Ruan, Mingrui Lao

Expert Syst. Appl., 2026

OTKD: A general knowledge distillation pipeline for object tracking.

Yongqi Pan, Cheng Zhu, Lailong Luo, Hanlin Tan, Mingrui Lao, Yuxuan Liang

Expert Syst. Appl., 2026

Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning.

Xueyi Zhang, Chengwei Zhang, Zheng Li, Xiyu Wang, Siqi Cai, Mingrui Lao, Yanming Guo, Huiping Zhuang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Remote Sensing Image Change Captioning: A Comprehensive Review.

Shiwei Zou, Yingmei Wei, Yuxiang Xie, Mingrui Lao, Xidao Luan

Int. J. Multim. Inf. Retr., September, 2025

PAUL: Uncertainty-Guided Partition and Augmentation for Robust Cross-View Geo-Localization under Noisy Correspondence.

Zheng Li, Yanming Guo, WenZhe Liu, Xueyi Zhang, Zhaoyun Ding, Long Xu, Mingrui Lao

CoRR, August, 2025

Deep Learning For Point Cloud Denoising: A Survey.

Chengwei Zhang, Xueyi Zhang, Mingrui Lao, Tao Jiang, Xinhao Xu, Wenjie Li, Fubo Zhang, Longyong Chen

CoRR, August, 2025

FCAT: Federated causal adversarial training.

Yunhao Feng, Yanming Guo, Mingrui Lao, Yulun Wu, Yishan Li, Yuxiang Xie

Knowl. Based Syst., 2025

A survey of security threats in federated learning.

Yunhao Feng, Yanming Guo, Yinjian Hou, Yulun Wu, Mingrui Lao, Tianyuan Yu, Gang Liu

Complex Intell. Syst., 2025

Boosting Discriminability for Robust Multimodal Entity Linking with Visual Modality Missing.

Mingrui Lao, Zheng Li, Yanming Guo, Xueyi Zhang, Siqi Cai, Zhaoyun Ding, Haizhou Li

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Learning from Peers: Collaborative Ensemble Adversarial Training.

Dengjin Li, Yanming Guo, Yuxiang Xie, Zheng Li, Jiangming Chen, Xiaolong Li, Mingrui Lao

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

TrustCLIP: Learning from Noisy Labels via Semantic Label Verification and Trust-aligned Gradient Projection.

Xueyi Zhang, Peiyin Zhu, Yuan Liao, Xiyu Wang, Mingrui Lao, Siqi Cai, Yanming Guo, Haizhou Li

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

EventLip: Enhancing Event-Based Lip Reading via Frequency-Aware Spatiotemporal Hypergraph Modeling.

Xueyi Zhang, Jialu Sun, Chengwei Zhang, Xianghu Yue, Tianfang Xiao, Siqi Cai, Mingrui Lao, Haizhou Li

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Choose Your Expert: Uncertainty-Guided Expert Selection for Continual Deepfake Detection.

Xueyi Zhang, Peiyin Zhu, Jinping Sui, Xiaoda Yang, Jiahe Tian, Mingrui Lao, Siqi Cai, Yanming Guo, Jun Tang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Event-Based Binary Neural Networks for Efficient and Accurate Lip Reading.

Xueyi Zhang, Jialu Sun, Peiyin Zhu, Bowen Wang, Mingrui Lao, Yanming Guo

Proceedings of 2025 2nd International Conference on Machine Learning and Intelligent Computing (MLIC 2025), 2025

Boosting Adversarial Robustness Through Structure-Guided Adversarial Distillation.

Xiaolong Li, Yanming Guo, Chengsi Du, Dengjin Li, Jie Jiang, Mingrui Lao

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Generalization-Preserved Learning: Closing the Backdoor to Catastrophic Forgetting in Continual Deepfake Detection.

Xueyi Zhang, Peiyin Zhu, Chengwei Zhang, Zhiyuan Yan, Jikang Cheng, Mingrui Lao, Siqi Cai, Yanming Guo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Multi-Modal Entities Matter: Benchmarking Multi-Modal Entity Alignment.

Guanchen Xiao, Weixin Zeng, Shiqi Zhang, Mingrui Lao, Xiang Zhao

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

RDAT: an efficient regularized decoupled adversarial training mechanism.

Yishan Li, Yanming Guo, Yulun Wu, Yuxiang Xie, Mingrui Lao, Tianyuan Yu, Yirun Ruan

Int. J. Multim. Inf. Retr., June, 2024

EIOA: A computing expectation-based influence evaluation method in weighted hypergraphs.

Qingtao Pan, Haosen Wang, Jun Tang, Zhaolin Lv, Zining Wang, Xian Wu, Yirun Ruan, Tianyuan Yv, Mingrui Lao

Inf. Process. Manag., 2024

Language Without Borders: A Dataset and Benchmark for Code-Switching Lip Reading.

Xueyi Zhang, Mingrui Lao, Peng Zhao, Jun Tang, Yanming Guo, Siqi Cai, Xianghu Yue, Haizhou Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PD-Refiner: An Underlying Surface Inheritance Refiner with Adaptive Edge-Aware Supervision for Point Cloud Denoising.

Chengwei Zhang, Xueyi Zhang, Xianghu Yue, Mingrui Lao, Tao Jiang, Jiawei Wang, Fubo Zhang, Longyong Chen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MMAL: Multi-Modal Analytic Learning for Exemplar-Free Audio-Visual Class Incremental Tasks.

Xianghu Yue, Xueyi Zhang, Yiming Chen, Chengwei Zhang, Mingrui Lao, Huiping Zhuang, Xinyuan Qian, Haizhou Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Maximizing Feature Distribution Variance for Robust Neural Networks.

Hao Yang, Min Wang, Zhengfei Yu, Zhi Zeng, Mingrui Lao, Yun Zhou

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Balanced Confidence Calibration for Graph Neural Networks.

Hao Yang, Min Wang, Qi Wang, Mingrui Lao, Yun Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Binary-Temporal Convolutional Neural Network for Multi-Class Auditory Spatial Attention Detection.

Peng Zhao, Ruicong Wang, Xueyi Zhang, Mingrui Lao, Siqi Cai

Proceedings of the 14th IEEE International Symposium on Chinese Spoken Language Processing, 2024

Boosting Adversarial Robustness Distillation Via Hybrid Decomposed Knowledge.

Yulun Wu, Mingrui Lao, Yanming Guo, Dongmei Chen, Tianyuan Yu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Few-shot and meta-learning methods for image understanding: a survey.

Kai He, Nan Pu, Mingrui Lao, Michael S. Lew

Int. J. Multim. Inf. Retr., December, 2023

Dual selective knowledge transfer for few-shot classification.

Kai He, Nan Pu, Mingrui Lao, Erwin M. Bakker, Michael S. Lew

Appl. Intell., November, 2023

Lifelong Fine-Grained Image Retrieval.

Wei Chen, Haoyang Xu, Nan Pu, Yu Liu, Mingrui Lao, Weiping Wang, Li Liu, Michael S. Lew

IEEE Trans. Multim., 2023

FedVQA: Personalized Federated Visual Question Answering over Heterogeneous Scenes.

Mingrui Lao, Nan Pu, Zhun Zhong, Nicu Sebe, Michael S. Lew

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation.

Mingrui Lao, Nan Pu, Yu Liu, Zhun Zhong, Erwin M. Bakker, Nicu Sebe, Michael S. Lew

Proceedings of the 31st ACM International Conference on Multimedia, 2023

COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering.

Mingrui Lao, Nan Pu, Yu Liu, Kai He, Erwin M. Bakker, Michael S. Lew

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

VQA-BC: Robust Visual Question Answering Via Bidirectional Chaining.

Mingrui Lao, Yanming Guo, Wei Chen, Nan Pu, Michael S. Lew

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Multi-stage hybrid embedding fusion network for visual question answering.

Mingrui Lao, Yanming Guo, Nan Pu, Wei Chen, Yu Liu, Michael S. Lew

Neurocomputing, 2021

From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering.

Mingrui Lao, Yanming Guo, Yu Liu, Wei Chen, Nan Pu, Michael S. Lew

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Language Prior Based Focal Loss for Visual Question Answering.

Mingrui Lao, Yanming Guo, Yu Liu, Michael S. Lew

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2018

Multimodal Local Perception Bilinear Pooling for Visual Question Answering.

Mingrui Lao, Yanming Guo, Hui Wang, Xin Zhang

IEEE Access, 2018

Cross-Modal Multistep Fusion Network With Co-Attention for Visual Question Answering.

Mingrui Lao, Yanming Guo, Hui Wang, Xin Zhang

IEEE Access, 2018