Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization. - Kangjun Liu; Ke Chen 004; Kui Jia (IEEE Trans. Image Process., 2022)

ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States. - Kangjun Liu; Ke Chen 004; Lihua Guo; Yaowei Wang 001; Kui Jia (CoRR, 2023)

Classification of single-view object point clouds. - Zelin Xu 002; Kangjun Liu; Ke Chen 004; Changxing Ding; Yaowei Wang 001; Kui Jia (Pattern Recognit., 2023)

RobUNet: A Radio Map Construction Method with A Strong Generalization Capability. - Shuai Shao; Kangjun Liu; Qingyu Liu; Shuhang Zhang; Ke Chen 004; Lingyang Song (GLOBECOM, 2024)

CoTuning: A Large-Small Model Collaborating Distillation Framework for Better Model Generalization. - Zimo Liu; Kangjun Liu; Mingyue Guo; Shiliang Zhang; Yaowei Wang 001 (ACM Multimedia, 2024)

Generative AI on SpectrumNet: An Open Benchmark of Multiband 3D Radio Maps. - Shuhang Zhang; Shuai Jiang; Wanjie Lin; Zheng Fang; Kangjun Liu; Hongliang Zhang 001; Ke Chen 004 (CoRR, 2024)

Defending against similarity shift attack for EaaS via adaptive multi-target watermarking. - Zuopeng Yang; Pengyu Chen; Tao Li; Kangjun Liu; Yuan Huang; Xin Lin (Inf. Sci., 2024)

ArcPro: Architectural Programs for Structured 3D Abstraction of Sparse Points. - Qirui Huang; Runze Zhang; Kangjun Liu; Minglun Gong; Hao Zhang 002; Hui Huang 004 (CVPR, 2025)

Multi-level contrastive reasoning over knowledge graphs for fault diagnosis of confounding cases. - Xiang Li; Runhai Jiao; Changyu Zhou; Boxu Yan; Kaihang Li; Kangjun Liu (Neurocomputing, 2025)

Improving deep representation learning via auxiliary learnable target coding. - Kangjun Liu; Ke Chen 004; Kui Jia; Yaowei Wang 001 (Pattern Recognit., 2025)

Delving Deep into Semantic Relation Distillation. - Zhaoyi Yan; Kangjun Liu; Qixiang Ye (CoRR, 2025)

RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1‱ Spatial Sampling. - Zheng Fang; Kangjun Liu; Ke Chen 004; Qingyu Liu; Jianguo Zhang; Lingyang Song; Yaowei Wang 001 (CoRR, 2025)

Generative AI on SpectrumNet: An Open Benchmark of Multiband 3-D Radio Maps. - Shuhang Zhang; Shuai Jiang; Wanjie Lin; Zheng Fang; Kangjun Liu; Hongliang Zhang 001; Ke Chen 004 (IEEE Trans. Cogn. Commun. Netw., 2025)

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition. - Longkun Zou; Kangjun Liu; Ke Chen 004; Kailing Guo; Kui Jia; Yaowei Wang 001 (CoRR, 2025)