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Pathway-Aware Multimodal Transformer (PAMT): Integrating Pathological Image and Gene Expression for Interpretable Cancer Survival Analysis 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2026, 卷号: 48, 期号: 1, 页码: 896-913
作者:  Yan, Rui;  Zhang, Xueyuan;  Jiang, Zihang;  Wang, Baizhi;  Bian, Xiuwu;  Ren, Fei;  Zhou, S. Kevin
收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25
Pathology  Cancer  Transformers  Feature extraction  Data models  Biological system modeling  Analytical models  Deep learning  Semantics  Multimodal transformer  model interpretability  survival analysis  pathological image analysis  gene expression  gene expression  
Improving multimodal named entity recognition via text-image relevance prediction with large language models 期刊论文
NEUROCOMPUTING, 2025, 卷号: 651, 页码: 10
作者:  Zeng, Qingyang;  Yuan, Minghui;  Su, Yueyang;  Mi, Jia;  Che, Qianzi;  Wan, Jing
收藏  |  浏览/下载：19/0  |  提交时间：2025/12/03
Multimodal named entity recognition  Multimodal learning  Large language model  Contrastive learning  Social media  
Consistent multimodal pre-training for visual tokenization 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2025, 卷号: 68, 期号: 10, 页码: 15
作者:  Pan, Ting;  Tang, Lulu;  Wang, Xinlong;  Liu, Xin;  Shan, Shiguang
收藏  |  浏览/下载：33/0  |  提交时间：2025/12/03
foundation model  multimodal  representation learning  visual tokenization  
Multimodal Food Learning 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2025, 卷号: 21, 期号: 7, 页码: 28
作者:  Min, Weiqing;  Hong, Xingjian;  Liu, Yuxin;  Huang, Mingyu;  Jin, Ying;  Zhou, Pengfei;  Xu, Leyi;  Wang, Yilin;  Jiang, Shuqiang;  Rui, Yong
收藏  |  浏览/下载：27/0  |  提交时间：2025/12/03
Multimodal Food Learning  Cross-modal Retrieval  Cross-modal Generation  Food Recognition  
OTRec: Cross-Modal Learning for Multimodal Recommendation via Optimal Transport 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2025, 卷号: 27, 页码: 8603-8617
作者:  Cao, Zongsheng;  Xu, Qianqian;  Yang, Zhiyong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25
Semantics  Recommender systems  Contrastive learning  Electronic mail  Lattices  Data models  Data mining  Artificial intelligence  Accuracy  Visualization  Multimodal recommendation  optimal transport  modal-invariant  modal-specific  
Self-Supervised Enhancement for Named Entity Disambiguation via Multimodal Graph Convolution 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Zhou, Pengfei;  Ying, Kaining;  Wang, Zhenhua;  Guo, Dongyan;  Bai, Cong
收藏  |  浏览/下载：99/0  |  提交时间：2022/12/07
Task analysis  Convolution  Semantics  Internet  Bit error rate  Visualization  Pipelines  Graph convolutional network (GCN)  multimodal data  named entity disambiguation (NED)  self-supervised learning (SSL)  
Harmonized Multimodal Learning with Gaussian Process Latent Variable Models 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 3, 页码: 858-872
作者:  Song, Guoli;  Wang, Shuhui;  Huang, Qingming;  Tian, Qi
收藏  |  浏览/下载：89/0  |  提交时间：2021/12/01
Multimodal learning  Gaussian process  latent variable modeling  cross-modal retrieval  
Multimodal correlation deep belief networks for multi-view classification 期刊论文
APPLIED INTELLIGENCE, 2019, 卷号: 49, 期号: 5, 页码: 1925-1936
作者:  Zhang, Nan;  Ding, Shifei;  Liao, Hongmei;  Jia, Weikuan
收藏  |  浏览/下载：145/0  |  提交时间：2019/08/16
Restricted boltzmann machines  Deep belief networks  Multi-view learning  Canonical correlation analysis  Multimodal learning  
Learning Effective RGB-D Representations for Scene Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 2, 页码: 980-993
作者:  Song, Xinhang;  Jiang, Shuqiang;  Herranz, Luis;  Chen, Chengpeng
收藏  |  浏览/下载：128/0  |  提交时间：2019/04/03
Scene recognition  deep learning  multimodal  RGB-D  video  CNN  RNN  
A traffic pattern detection algorithm based on multimodal sensing 期刊论文
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2018, 卷号: 14, 期号: 10, 页码: 16
作者:  Qin, Yanjun;  Luo, Haiyong;  Zhao, Fang;  Zhao, Zhongliang;  Jiang, Mengling
收藏  |  浏览/下载：308/0  |  提交时间：2019/04/03
Deep learning  low power consumption  transportation mode detection  multimodal sensing  performance comparison