Yutao Dou

According to our database, Yutao Dou authored at least 18 papers between 2021 and 2025.

Collaborative distances:

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

2025

SMILE: a Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis.

Liangrui Pan, Xiaoyu Li, Yutao Dou, Qiya Song, Jiadi Luo, Qingchun Liang, Shaoliang Peng

CoRR, March, 2025

ShennongMGS: An LLM-based Chinese Medication Guidance System.

Yutao Dou, Yuwei Huang, Xiongjun Zhao, Haitao Zou, Jiandong Shang, Ying Lu, Xiaolin Yang, Jian Xiao, Shaoliang Peng

ACM Trans. Manag. Inf. Syst., 2025

Spatio-temporal masked autoencoder-based phonetic segments classification from ultrasound.

Xi Dan, Kele Xu, Yihang Zhou, Chuanguang Yang, Yihao Chen, Yutao Dou, Cheng Yang

Speech Commun., 2025

DepMambaformer: Integrating Bidirectional State Space Duality Model with Multimodal Attention for Depression Detection.

Changfeng He, Yutao Dou, Fan Liu, Xiaoping Wang, Shaoliang Peng

Proceedings of the Bioinformatics Research and Applications - 21st International Symposium, 2025

2024

Optimization of the parallel semi-Lagrangian scheme to overlap computation with communication based on grouping levels in YHGSM.

Dazheng Liu, Wenjuan Liu, Liangrui Pan, Yutao Dou, Jianping Wu

CCF Trans. High Perform. Comput., February, 2024

Quick-MIMIC: A Multimodal Data Extraction Pipeline for MIMIC with Parallelization.

Yutao Dou, Wei Li, Yangtao Zheng, Xiaojun Yao, Huanxiang Liu, Albert Y. Zomaya, Shaoliang Peng

Big Data Min. Anal., 2024

PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision.

Yutao Dou, Huimin Yu, Wei Li, Jingyang Li, Fei Xia, Jian Xiao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Report-Concept Textual-Prompt Learning for Enhancing X-ray Diagnosis.

Xiongjun Zhao, Zhengyu Liu, Fen Liu, Guanting Li, Yutao Dou, Shaoliang Peng

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

Temporal Inconsistency-Based Active Learning.

Tianjiao Wan, Yutao Dou, Kele Xu, Zijian Gao, Bo Ding, Dawei Feng, Huaimin Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

EMO-Mamba: Multimodal Selective Structured State Space Model for Depression Detection.

Tao Xing, Yutao Dou, Xiaolan Xie, Jiansong Zhou, Xianliang Chen, Shaoliang Peng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Autonomous Pharmaceutical Care with Large Language Models.

Yutao Dou, Zike Deng, Tao Xing, Jian Xiao, Shaoliang Peng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Feature augmentation and semi-supervised conditional transfer learning for early detection of sepsis.

Yutao Dou, Wei Li, Yucen Nan, Yidi Zhang, Shaoliang Peng

Comput. Biol. Medicine, October, 2023

LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images.

Liangrui Pan, Yutao Dou, Zhichao Feng, Liwen Xu, Shaoliang Peng

CoRR, 2023

Multi-Head Attention Mechanism Learning for Cancer New Subtypes and Treatment Based on Cancer Multi-Omics Data.

Liangrui Pan, Dazhen Liu, Yutao Dou, Lian Wang, Zhichao Feng, Pengfei Rong, Liwen Xu, Shaoliang Peng

CoRR, 2023

ParaMET: A Parallel Framework for Efficient Medical Data Extraction on Tianhe-NG Supercomputer.

Yutao Dou, Yangtao Zheng, Dazheng Liu, Keqin Li, Sheng Xiao, Shaoliang Peng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

An Attention-based Label Mapping and Multi-factor Domain Adaptation Approach for ACS Prediction.

Yutao Dou, Zhengyu Liu, Xiongjun Zhao, Kun Xie, Guo Chen, Shaoliang Peng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Transformer-Based Unsupervised Learning for Early Detection of Sepsis (Student Abstract).

Yutao Dou, Wei Li, Albert Y. Zomaya

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

LUNAR : Drug Screening for Novel Coronavirus Based on Representation Learning Graph Convolutional Network.

Deshan Zhou, Shaoliang Peng, Dong-Qing Wei, Wu Zhong, Yutao Dou, Xiaolan Xie

IEEE ACM Trans. Comput. Biol. Bioinform., 2021