Researcher profile

Licheng Jiao

5 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Weighted Single-Pass Fuzzy c-Means Algorithm Based on Density Peaks

    2018

    This paper presents an improved single-pass fuzzy c-means algorithm, which is referred to as Weighted Single-Pass Fuzzy c-Means Algorithm Based on Density Peaks (dpwSPFCM). The classical clustering methods can deal with the small-scale data problems …

  2. A Patch Diversity Transformer for Domain Generalized Semantic Segmentation

    2023 · IEEE Transactions on Neural Networks and Learning Systems

    Domain generalization (DG) is one of the critical issues for deep learning in unknown domains. How to effectively represent domain-invariant context (DIC) is a difficult problem that DG needs to solve. Transformers have shown the …

  3. Few-Shot MS and PAN Joint Classification With Improved Cross-Source Contrastive Learning

    2024 · IEEE Transactions on Geoscience and Remote Sensing

    The joint classification of multispectral (MS) and panchromatic (PAN) images aims to provide a more detailed and accurate interpretation of land features. Although deep-learning-based methods have achieved remarkable success in this task, the generalization performance …

  4. AFLNet: Auxiliary Feature Learning-Guided Cross-Channel Automatic Modulation Classification

    2025 · IEEE Transactions on Communications

    This paper conducted a thorough investigation into the primary difficulty of the cross-channel automatic modulation classification (AMC) task by examining data distribution and feature space of different channel conditions. We concluded that the disruption of …

  5. Personalized Recommendation Based on Evolutionary Multi-Objective Optimization [Research Frontier]

    2015 · IEEE Computational Intelligence Magazine

    Traditional recommendation techniques in recommender systems mainly focus on improving recommendation accuracy. However, personalized recommendation, which considers the multiple needs of users and can make both accurate and diverse recommendations, is more suitable for modern …