Xiang Bao

According to our database, Xiang Bao authored at least 11 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs.

Wenxiang Lin, Juntao Huang, Luhan Zhang, Laili Li, Xiang Bao, Mengyang Zhang, Bing Wang, Shaohuai Shi

CoRR, May, 2026

Multi-Instance Multi-Label Learning via Label Specific Features and Label Enhancement with Collaborative Multi Objective Particle Swarm Optimization.

Xiang Bao, Fei Han, Qing-Hua Ling, Henry Han

IEEE Trans. Emerg. Top. Comput. Intell., April, 2026

2025

Encoding local label correlations in multi-instance multi-label learning with an improved multi-objective particle swarm optimization.

Xiang Bao, Fei Han, Qinghua Ling

Complex Intell. Syst., 2025

2024

A SE-DenseNet-LSTM model for locomotion mode recognition in lower limb exoskeleton.

Jing Tang, Lun Zhao, Minghu Wu, Zequan Jiang, Jiaxun Cao, Xiang Bao

PeerJ Comput. Sci., 2024

Prediction of Bladder Cancer Prognosis by Deep Cox Proportional Hazards Model Based on Adversarial Autoencoder.

Jing Wu, Yanqiong Ren, Fei Han, Xiang Bao

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2023

Dependent task offloading mechanism for cloud-edge-device collaboration.

Junna Zhang, Jiawei Chen, Xiang Bao, Chunhong Liu, Peiyan Yuan, Xinglin Zhang, Shangguang Wang

J. Netw. Comput. Appl., July, 2023

Dependent Application Offloading in Edge Computing.

Junna Zhang, Guoxian Zhang, Xiang Bao, Chuntao Ding, Peiyan Yuan, Xinglin Zhang, Shangguang Wang

IEEE Trans. Cloud Comput., 2023

A multi-instance multi-label learning algorithm based on radial basis functions and multi-objective particle swarm optimization.

Xiang Bao, Fei Han, Qing-Hua Ling, Yan-Qiong Ren

Intell. Data Anal., 2023

2022

EEG classification algorithm of motor imagery based on CNN-Transformer fusion network.

Haofeng Liu, Yuefeng Liu, Yue Wang, Bo Liu, Xiang Bao

Proceedings of the IEEE International Conference on Trust, 2022

2020

Text Categorization by Multi-instance Multi-label and Momentum Stochastic Gradient Descent Strategy.

Xiang Bao, Guifeng Liu, Manrong Wang

Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2015

An Improved Brain MRI Segmentation Method Based on Scale-Space Theory and Expectation Maximization Algorithm.

Yuqing Song, Xiang Bao, Zhe Liu, Deqi Yuan, Minshan Song

Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015