A Grid-Based Pseudo-Cache solution for MISD biomedical problems with high confidentiality and efficiency. - Yuan-Shun Dai; Mathew J. Palakal; Shielly Hartanto; Xiaolong Wang 003; Yanming Guo (Int. J. Bioinform. Res. Appl., 2006)

A Comparison between Artificial Neural Network and Cascade-Correlation Neural Network in Concept Classification. - Yanming Guo; Liang Bai; Songyang Lao; Song Wu 003; Michael S. Lew (PCM, 2014)

DeepIndex for Accurate and Efficient Image Retrieval. - Yu Liu 012; Yanming Guo; Song Wu 003; Michael S. Lew (ICMR, 2015)

Convolutional Neural Networks Features: Principal Pyramidal Convolution. - Yanming Guo; Songyang Lao; Yu Liu 012; Liang Bai; Shi Liu; Michael S. Lew (PCM (1), 2015)

Bag of Surrogate Parts: one inherent feature of deep CNNs. - Yanming Guo; Michael S. Lew (BMVC, 2016)

Deep learning for visual understanding: A review. - Yanming Guo; Yu Liu 012; Ard Oerlemans; Songyang Lao; Song Wu 003; Michael S. Lew (Neurocomputing, 2016)

基于聚类的视频专题演化分析方法 (Video Topic Evolution Analysis Based on Clustering). - Yuxiang Xie; Xidao Luan; Yanming Guo; Chen Li; Xiao Niu (计算机科学, 2016)

Learning a Recurrent Residual Fusion Network for Multimodal Matching. - Yu Liu 012; Yanming Guo; Erwin M. Bakker; Michael S. Lew (ICCV, 2017)

On the Exploration of Convolutional Fusion Networks for Visual Recognition. - Yu Liu 012; Yanming Guo; Michael S. Lew (MMM (1), 2017)

What Convnets Make for Image Captioning? - Yu Liu 012; Yanming Guo; Michael S. Lew (MMM (1), 2017)

Reference Based on Adaptive Attention Mechanism for Image Captioning. - Shuang Liu; Liang Bai; Yanming Guo; Haoran Wang (BigMM, 2018)

A Dual Prediction Network for Image Captioning. - Yanming Guo; Yu Liu 012; Maaike H. T. de Boer; Li Liu 002; Michael S. Lew (ICME, 2018)

Delving into Fully Convolutional Networks Activations for Visual Recognition. - Longfei Zhang; Yanming Guo (ICMIP, 2018)

An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation. - Yu Liu 012; Yanming Guo; Wei Chen 072; Michael S. Lew (ICPR, 2018)

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)

Adaptive Triplet Model for Fine-Grained Visual Categorization. - Jingyun Liang; Jinlin Guo; Yanming Guo; Songyang Lao (IEEE Access, 2018)

A review of semantic segmentation using deep neural networks. - Yanming Guo; Yu Liu 012; Theodoros Georgiou 001; Michael S. Lew (Int. J. Multim. Inf. Retr., 2018)

CNN-RNN: a large-scale hierarchical image classification framework. - Yanming Guo; Yu Liu 012; Erwin M. Bakker; Yuanhao Guo; Michael S. Lew (Multim. Tools Appl., 2018)

Fusion that matters: convolutional fusion networks for visual recognition. - Yu Liu 012; Yanming Guo; Theodoros Georgiou 001; Michael S. Lew (Multim. Tools Appl., 2018)

Learning visual and textual representations for multimodal matching and classification. - Yu Liu 012; Li Liu 002; Yanming Guo; Michael S. Lew (Pattern Recognit., 2018)

Bag of Surrogate Parts Feature for Visual Recognition. - Yanming Guo; Yu Liu 012; Songyang Lao; Erwin M. Bakker; Liang Bai; Michael S. Lew (IEEE Trans. Multim., 2018)

Combining Convolutional Neural Network and Photometric Refinement for Accurate Homography Estimation. - Lai Kang; Yingmei Wei; Yuxiang Xie; Jie Jiang 017; Yanming Guo (IEEE Access, 2019)

CycleMatch: A cycle-consistent embedding network for image-text matching. - Yu Liu 012; Yanming Guo; Li Liu 002; Erwin M. Bakker; Michael S. Lew (Pattern Recognit., 2019)

Development and Application of an Intensive Care Medical Data Set for Deep Learning. - Shangping Zhao; Pan Liu; Guanxiu Tang; Yanming Guo; Guohui Li (IEEE BigData, 2020)

A survey of text classification models. - JinXiong Yang; Liang Bai; Yanming Guo (RICAI, 2020)

Satellite-Ground Two-Way Measuring Method and Performance Evaluation of BDS-3 Inter-Satellite Link System. - Yan Bai; Yanming Guo; Xin Wang 092; Xiaochun Lu (IEEE Access, 2020)

AAE-SC: A scRNA-Seq Clustering Framework Based on Adversarial Autoencoder. - Yulun Wu; Yanming Guo; Yandong Xiao; Songyang Lao (IEEE Access, 2020)

Special issue on deep learning in image and video retrieval. - Ard Oerlemans; Yanming Guo; Michael S. Lew; Tat-Seng Chua (Int. J. Multim. Inf. Retr., 2020)

PFNet: a novel part fusion network for fine-grained visual categorization. - Jingyun Liang; Jinlin Guo; Yanming Guo; Songyang Lao (Multim. Tools Appl., 2020)

An Inter-Satellite Two-Way Time Synchronization Method Based on Pseudo-Range Conversion. - Yanming Guo; Yan Bai; Decai Zou; Feng Zhang; Shuaihe Gao; Jian Zhang; Zhibing Pan; Xiaochun Lu (ICCT, 2021)

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

DCA-CLA: A scRNA-seq Classification Framework based on Deep Count Autoencoder. - Yulun Wu; Yanming Guo; Jian Li; Songyang Lao; Jinlin Guo; Haoran Wang (IJCNN, 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)

Towards a high robust neural network via feature matching. - Jian Li; Yanming Guo; Songyang Lao; Yulun Wu; Liang Bai; Yingmei Wei (Int. J. Multim. Inf. Retr., 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)

Relativistic Effects on Satellite-Ground Two-Way Precise Time Synchronization. - Yanming Guo; Yan Bai; Shuaihe Gao; Zhibing Pan; Zibin Han; Decai Zou; Xiaochun Lu; Shougang Zhang (Inf., 2021)

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

Automatic Multi-source Data Fusion Technique of Powerline Corridor using UAV Lidar. - Chao Su; Xiaomei Wu; Yanming Guo; Chun Sing Lai; Liang Xu; Xuan Zhao (ISC2, 2022)

Few2Decide: towards a robust model via using few neuron connections to decide. - Jian Li; Yanming Guo; Songyang Lao; Xiang Zhao 002; Liang Bai; Haoran Wang (Int. J. Multim. Inf. Retr., 2022)

FCT: fusing CNN and transformer for scene classification. - Yuxiang Xie; Jie Yan; Lai Kang; Yanming Guo; Jiahui Zhang; Xidao Luan (Int. J. Multim. Inf. Retr., 2022)

Caption TLSTMs: combining transformer with LSTMs for image captioning. - Jie Yan; Yuxiang Xie; Xidao Luan; Yanming Guo; Quanzhi Gong; Suru Feng (Int. J. Multim. Inf. Retr., 2022)

MHA-WoML: Multi-head attention and Wasserstein-OT for few-shot learning. - Junyan Yang; Jie Jiang 017; Yanming Guo (Int. J. Multim. Inf. Retr., 2022)

Chinese named entity recognition: The state of the art. - Pan Liu; Yanming Guo; Fenglei Wang; Guohui Li (Neurocomputing, 2022)

A New Space-to-Ground Microwave-Based Two-Way Time Synchronization Method for Next-Generation Space Atomic Clocks. - Yanming Guo; Shuaihe Gao; Yan Bai; Zhibing Pan; Yinhua Liu; Xiaochun Lu; Shougang Zhang (Remote. Sens., 2022)

SCaTNet: A Novel Self-supervised Contrastive Framework with Spatial-Channel Attention and Temporal Transformer for Few-Shot Action Recognition. - Zanxi Ruan; Yingmei Wei; Yanming Guo; Yuxiang Xie; Yifei Yuan (ACAI, 2023)

Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation. - Yanming Guo (CoRR, 2023)

Deep learning for video-text retrieval: a review. - Cunjuan Zhu; Qi Jia 001; Wei Chen 072; Yanming Guo; Yu Liu 012 (Int. J. Multim. Inf. Retr., 2023)

Advancing Ultra-High Precision in Satellite-Ground Time-Frequency Comparison: Ground-Based Experiment and Simulation Verification for the China Space Station. - Yanming Guo; Shuaihe Gao; Zhibing Pan; Pei Wang; Xuewen Gong; Jiangyu Chen; Kun Song; Zhen Zhong; Yaoli Yue; Lishu Guo; Yan Bai; Yuping Gao; et al. (Remote. Sens., 2023)

Special Issue on Open-Domain Image Retrieval in the Wild. - Yu Liu; Yanming Guo; Yusuke Matsui (Int. J. Multim. Inf. Retr., 2023)

CoCoOpter: Pre-train, prompt, and fine-tune the vision-language model for few-shot image classification. - Jie Yan; Yuxiang Xie; Yanming Guo; Yingmei Wei; Xiaoping Zhang 002; Xidao Luan (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)

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)

ExioML: Eco-economic dataset for Machine Learning in Global Sectoral Sustainability. - Yanming Guo; Jin Ma (CoRR, 2024)

Quantitative Global Carbon Inequality Network. - Yanming Guo; Jin Ma (CoRR, 2024)

Multimodal Multilabel Classification by CLIP. - Yanming Guo (CoRR, 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)

Generation and Countermeasures of adversarial examples on vision: a survey. - Jiangfan Liu; Yishan Li; Yanming Guo; Yu Liu; Jun Tang; Ying Nie (Artif. Intell. Rev., 2024)

Prioritized Local Matching Network for Cross-Category Few-Shot Anomaly Detection. - Huilin Deng; Hongchen Luo; Wei Zhai; Yanming Guo; Yang Cao 010; Yu Kang 001 (IEEE Trans. Artif. Intell., 2024)

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

Exploiting Event Temporal Dynamics and Sparsity Characteristics for RGB-Event Fusion Semantic Segmentation. - Yitong Zhang; Yingmei Wei; Yanming Guo; Jiangming Chen; Yi Zhong (ICMR, 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)

GLC: A dual-perspective approach for identifying influential nodes in complex networks. - Yirun Ruan; Sizheng Liu; Jun Tang 001; Yanming Guo; Tianyuan Yu (Expert Syst. Appl., 2025)

Fed-GCC: Global classifier consensus for conventional/task-free federated class-incremental learning. - Dianqi Liu; Liang Bai; Yanming Guo; Jun Tang 001; Yirun Ruan; Da Li; Tianyuan Yu (Knowl. Based Syst., 2025)

Few-shot event-based action recognition. - Zanxi Ruan; Nan Pu; Jiangming Chen; Songqun Gao; Yanming Guo; Qiuyu Kong; Yuxiang Xie; Yingmei Wei (Neural Networks, 2025)

Polarization Calibration Verification of the Directional Polarimetric Camera on the Terrestrial Ecosystem Carbon Inventory Satellite. - Donghai Xie; Liuyan Guo; Yu Wu 002; Qian Chen; Xin Zuo; Tongyuan Zou; Hailiang Gao; Yuting Li; Lili Zhang; Yutang Yu; Ran Xiao; Yinzhen Wang; et al. (IEEE Trans. Geosci. Remote. Sens., 2025)

Group Reasoning Emission Estimation Networks. - Yanming Guo; Xiao Qian; Kevin Credit; Jin Ma (CoRR, 2025)

Important people detection based on multi-level key actor interaction graph. - Haifeng Sang; Yanming Guo (Signal Image Video Process., 2025)