Xiaohan Jiang

According to our database, Xiaohan Jiang authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

GREMI: An Explainable Multi-Omics Integration Framework for Enhanced Disease Prediction and Module Identification.

Hong Liang, Haoran Luo, Zhiling Sang, Miao Jia, Xiaohan Jiang, Zheng Wang, Shan Cong, Xiaohui Yao

IEEE J. Biomed. Health Informatics, November, 2024

SPContrastNet: A Self-Paced Contrastive Learning Model for Few-Shot Text Classification.

Junfan Chen, Richong Zhang, Xiaohan Jiang, Chunming Hu

ACM Trans. Inf. Syst., September, 2024

AutoEIS: Automatic feature embedding, interaction and selection on default prediction.

Kai Xiao, Xiaohan Jiang, Peng Hou, Hongbin Zhu

Inf. Process. Manag., January, 2024

MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder.

Xiaohui Yao, Xiaohan Jiang, Haoran Luo, Hong Liang, Xiufen Ye, Yanhui Wei, Shan Cong

BioData Min., 2024

2023

Joint computation offloading and resource allocation based on deep reinforcement learning in C-V2X edge computing.

Peng Hou, Xiaohan Jiang, Zhihui Lu, Bo Li, Zongshan Wang

Appl. Intell., October, 2023

Dynamic and intelligent edge server placement based on deep reinforcement learning in mobile edge computing.

Xiaohan Jiang, Peng Hou, Hongbin Zhu, Bo Li, Zongshan Wang, Hongwei Ding

Ad Hoc Networks, June, 2023

Federated Deep Reinforcement Learning-Based Intelligent Dynamic Services in UAV-Assisted MEC.

Peng Hou, Xiaohan Jiang, Zongshan Wang, Sen Liu, Zhihui Lu

IEEE Internet Things J., 2023

WHEN: A Wavelet-DTW Hybrid Attention Network for Heterogeneous Time Series Analysis.

Jingyuan Wang, Chen Yang, Xiaohan Jiang, Junjie Wu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics.

Jiawei Jiang, Dayan Pan, Houxing Ren, Xiaohan Jiang, Chao Li, Jingyuan Wang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

RSNET: inferring gene regulatory networks by a redundancy silencing and network enhancement technique.

Xiaohan Jiang, Xiujun Zhang

BMC Bioinform., 2022

2021

SR2CNN: Zero-Shot Learning for Signal Recognition.

Yihong Dong, Xiaohan Jiang, Huaji Zhou, Yun Lin, Qingjiang Shi

IEEE Trans. Signal Process., 2021

SSRCNN: A Semi-Supervised Learning Framework for Signal Recognition.

Yihong Dong, Xiaohan Jiang, Lei Cheng, Qingjiang Shi

IEEE Trans. Cogn. Commun. Netw., 2021

Semi-Supervised Learning For Signal Recognition With Sparsity And Robust Promotion.

Yihong Dong, Xiaohan Jiang, Lei Cheng, Qingjiang Shi

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

DenseNet with Orthogonal Kernel for Infrared and Visible Image Fusion.

Xiaohan Jiang, Rencan Nie, Chengchao Wang, Xue Wang, Shishuang Yu

Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

2018

Email Importance Evaluation in Mailing List Discussions.

Kun Jiang, Chunming Hu, Jie Sun, Qi Shen, Xiaohan Jiang

Proceedings of the Data Quality and Trust in Big Data - 5th International Workshop, 2018