Cross-Modal Multistep Fusion Network With Co-Attention for Visual Question Answering. - Mingrui Lao; Yanming Guo; Hui Wang 030; Xin Zhang 018 (IEEE Access, 2018)

Multimodal Local Perception Bilinear Pooling for Visual Question Answering. - Mingrui Lao; Yanming Guo; Hui Wang 030; Xin Zhang 018 (IEEE Access, 2018)

A Language Prior Based Focal Loss for Visual Question Answering. - Mingrui Lao; Yanming Guo; Yu Liu 012; Michael S. Lew (ICME, 2021)

From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering. - Mingrui Lao; Yanming Guo; Yu Liu 012; Wei Chen 072; Nan Pu; Michael S. Lew (ACM Multimedia, 2021)

Multi-stage hybrid embedding fusion network for visual question answering. - Mingrui Lao; Yanming Guo; Nan Pu; Wei Chen 072; Yu Liu 012; Michael S. Lew (Neurocomputing, 2021)

VQA-BC: Robust Visual Question Answering Via Bidirectional Chaining. - Mingrui Lao; Yanming Guo; Wei Chen 072; Nan Pu; Michael S. Lew (ICASSP, 2022)

COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering. - Mingrui Lao; Nan Pu; Yu Liu 012; Kai He; Erwin M. Bakker; Michael S. Lew (AAAI, 2023)

Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation. - Mingrui Lao; Nan Pu; Yu Liu 012; Zhun Zhong; Erwin M. Bakker; Nicu Sebe; Michael S. Lew (ACM Multimedia, 2023)

FedVQA: Personalized Federated Visual Question Answering over Heterogeneous Scenes. - Mingrui Lao; Nan Pu; Zhun Zhong; Nicu Sebe; Michael S. Lew (ACM Multimedia, 2023)

Lifelong Fine-Grained Image Retrieval. - Wei Chen 072; Haoyang Xu; Nan Pu; Yu Liu 012; Mingrui Lao; Weiping Wang 002; Li Liu 002; Michael S. Lew (IEEE Trans. Multim., 2023)

Dual selective knowledge transfer for few-shot classification. - Kai He; Nan Pu; Mingrui Lao; Erwin M. Bakker; Michael S. Lew (Appl. Intell., 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., 2023)

Boosting Adversarial Robustness Distillation Via Hybrid Decomposed Knowledge. - Yulun Wu; Mingrui Lao; Yanming Guo; Dongmei Chen; Tianyuan Yu (ICASSP, 2024)

Binary-Temporal Convolutional Neural Network for Multi-Class Auditory Spatial Attention Detection. - Peng Zhao; Ruicong Wang; Xueyi Zhang; Mingrui Lao; Siqi Cai 002 (ISCSLP, 2024)

Balanced Confidence Calibration for Graph Neural Networks. - Hao Yang 042; Min Wang 034; Qi Wang 005; Mingrui Lao; Yun Zhou 001 (KDD, 2024)

Maximizing Feature Distribution Variance for Robust Neural Networks. - Hao Yang 042; Min Wang 034; Zhengfei Yu; Zhi Zeng; Mingrui Lao; Yun Zhou 001 (ACM Multimedia, 2024)

MMAL: Multi-Modal Analytic Learning for Exemplar-Free Audio-Visual Class Incremental Tasks. - Xianghu Yue; Xueyi Zhang; Yiming Chen 010; Chengwei Zhang; Mingrui Lao; Huiping Zhuang; Xinyuan Qian 001; Haizhou Li 001 (ACM Multimedia, 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 062; Jiawei Wang; Fubo Zhang; Longyong Chen (ACM Multimedia, 2024)

Language Without Borders: A Dataset and Benchmark for Code-Switching Lip Reading. - Xueyi Zhang; Mingrui Lao; Peng Zhao; Jun Tang 001; Yanming Guo; Siqi Cai 002; Xianghu Yue; Haizhou Li 001 (NeurIPS, 2024)

EIOA: A computing expectation-based influence evaluation method in weighted hypergraphs. - Qingtao Pan; Haosen Wang; Jun Tang 001; Zhaolin Lv; Zining Wang; Xian Wu; Yirun Ruan; Tianyuan Yv; Mingrui Lao (Inf. Process. Manag., 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., 2024)

Multi-Modal Entities Matter: Benchmarking Multi-Modal Entity Alignment. - Guanchen Xiao; Weixin Zeng; Shiqi Zhang; Mingrui Lao; Xiang Zhao 002 (COLING, 2025)

Boosting Adversarial Robustness Through Structure-Guided Adversarial Distillation. - Xiaolong Li; Yanming Guo; Chengsi Du; Dengjin Li; Jie Jiang; Mingrui Lao (ICIC (2), 2025)

Boosting Discriminability for Robust Multimodal Entity Linking with Visual Modality Missing. - Mingrui Lao; Zheng Li; Yanming Guo; Xueyi Zhang; Siqi Cai 002; Zhaoyun Ding; Haizhou Li 001 (SIGIR, 2025)

PAL: Prompting Analytic Learning with Missing Modality for Multi-Modal Class-Incremental Learning. - Xianghu Yue; Yiming Chen 010; Xueyi Zhang; Xiaoxue Gao; Mengling Feng; Mingrui Lao; Huiping Zhuang; Haizhou Li 001 (CoRR, 2025)

Deep Learning For Point Cloud Denoising: A Survey. - Chengwei Zhang; Xueyi Zhang; Mingrui Lao; Tao Jiang 062; Xinhao Xu; Wenjie Li; Fubo Zhang; Longyong Chen (CoRR, 2025)

Remote Sensing Image Change Captioning: A Comprehensive Review. - Shiwei Zou; Yingmei Wei; Yuxiang Xie; Mingrui Lao; Xidao Luan (Int. J. Multim. Inf. Retr., 2025)