Email Importance Evaluation in Mailing List Discussions. - Kun Jiang; Chunming Hu; Jie Sun; Qi Shen; Xiaohan Jiang (QUAT@WISE, 2018)

DenseNet with Orthogonal Kernel for Infrared and Visible Image Fusion. - Xiaohan Jiang; Rencan Nie; Chengchao Wang; Xue Wang 011; Shishuang Yu (CIS, 2021)

Semi-Supervised Learning For Signal Recognition With Sparsity And Robust Promotion. - Yihong Dong; Xiaohan Jiang; Lei Cheng 003; Qingjiang Shi (WCNC, 2021)

SSRCNN: A Semi-Supervised Learning Framework for Signal Recognition. - Yihong Dong; Xiaohan Jiang; Lei Cheng 003; Qingjiang Shi (IEEE Trans. Cogn. Commun. Netw., 2021)

SR2CNN: Zero-Shot Learning for Signal Recognition. - Yihong Dong; Xiaohan Jiang; Huaji Zhou; Yun Lin 005; Qingjiang Shi (IEEE Trans. Signal Process., 2021)

RSNET: inferring gene regulatory networks by a redundancy silencing and network enhancement technique. - Xiaohan Jiang; Xiujun Zhang (BMC Bioinform., 2022)

Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics. - Jiawei Jiang 003; Dayan Pan; Houxing Ren; Xiaohan Jiang; Chao Li 001; Jingyuan Wang 001 (ICDE, 2023)

WHEN: A Wavelet-DTW Hybrid Attention Network for Heterogeneous Time Series Analysis. - Jingyuan Wang 001; Chen Yang 024; Xiaohan Jiang; Junjie Wu 002 (KDD, 2023)

Federated Deep Reinforcement Learning-Based Intelligent Dynamic Services in UAV-Assisted MEC. - Peng Hou; Xiaohan Jiang; Zongshan Wang; Sen Liu 002; Zhihui Lu 002 (IEEE Internet Things J., 2023)

Dynamic and intelligent edge server placement based on deep reinforcement learning in mobile edge computing. - Xiaohan Jiang; Peng Hou; Hongbin Zhu; Bo Li 025; Zongshan Wang; Hongwei Ding (Ad Hoc Networks, 2023)

Joint computation offloading and resource allocation based on deep reinforcement learning in C-V2X edge computing. - Peng Hou; Xiaohan Jiang; Zhihui Lu 002; Bo Li 025; Zongshan Wang (Appl. Intell., 2023)

On the Convergence of Hierarchical Federated Learning with Partial Worker Participation. - Xiaohan Jiang; Hongbin Zhu (UAI, 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)

AutoEIS: Automatic feature embedding, interaction and selection on default prediction. - Kai Xiao; Xiaohan Jiang; Peng Hou; Hongbin Zhu (Inf. Process. Manag., 2024)

SPContrastNet: A Self-Paced Contrastive Learning Model for Few-Shot Text Classification. - Junfan Chen 001; Richong Zhang; Xiaohan Jiang; Chunming Hu (ACM Trans. Inf. Syst., 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 035; Shan Cong; Xiaohui Yao (IEEE J. Biomed. Health Informatics, 2024)

PICELF: An Automatic Electronic Layer Layout Generation Framework for Photonic Integrated Circuits. - Xiaohan Jiang; Yinyi Liu; Peiyu Chen; Wei Zhang; Jiang Xu (DATE, 2025)

Learning Universal Multi-level Market Irrationality Factors to Improve Stock Return Forecasting. - Chen Yang 024; Jingyuan Wang 001; Xiaohan Jiang; Junjie Wu 002 (KDD (1), 2025)

DMAM: Difficulty-enhanced multi-view attention-based model for knowledge tracing. - Xiaohan Jiang; Bo Yang 011; Wei Liu (Knowl. Based Syst., 2025)

Towards uncertainty-calibrated structural data enrichment with large language model for few-shot entity resolution. - Mengyi Yan; Yaoshu Wang; Xiaohan Jiang; Haoyi Zhou; Jianxin Li 002 (Frontiers Comput. Sci., 2025)