Kangjun Liu

According to our database, Kangjun Liu authored at least 14 papers between 2022 and 2025.

Collaborative distances:

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

2025

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition.

Longkun Zou, Kangjun Liu, Ke Chen, Kailing Guo, Kui Jia, Yaowei Wang

CoRR, June, 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, Ke Chen

IEEE Trans. Cogn. Commun. Netw., April, 2025

RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1‱ Spatial Sampling.

Zheng Fang, Kangjun Liu, Ke Chen, Qingyu Liu, Jianguo Zhang, Lingyang Song, Yaowei Wang

CoRR, April, 2025

Delving Deep into Semantic Relation Distillation.

Zhaoyi Yan, Kangjun Liu, Qixiang Ye

CoRR, March, 2025

Improving deep representation learning via auxiliary learnable target coding.

Kangjun Liu, Ke Chen, Kui Jia, Yaowei Wang

Pattern Recognit., 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

ArcPro: Architectural Programs for Structured 3D Abstraction of Sparse Points.

Qirui Huang, Runze Zhang, Kangjun Liu, Minglun Gong, Hao Zhang, Hui Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Generative AI on SpectrumNet: An Open Benchmark of Multiband 3D Radio Maps.

Shuhang Zhang, Shuai Jiang, Wanjie Lin, Zheng Fang, Kangjun Liu, Hongliang Zhang, Ke Chen

CoRR, 2024

CoTuning: A Large-Small Model Collaborating Distillation Framework for Better Model Generalization.

Zimo Liu, Kangjun Liu, Mingyue Guo, Shiliang Zhang, Yaowei Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

RobUNet: A Radio Map Construction Method with A Strong Generalization Capability.

Shuai Shao, Kangjun Liu, Qingyu Liu, Shuhang Zhang, Ke Chen, Lingyang Song

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

Classification of single-view object point clouds.

Zelin Xu, Kangjun Liu, Ke Chen, Changxing Ding, Yaowei Wang, Kui Jia

Pattern Recognit., 2023

ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States.

Kangjun Liu, Ke Chen, Lihua Guo, Yaowei Wang, Kui Jia

CoRR, 2023

2022

Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization.

Kangjun Liu, Ke Chen, Kui Jia

IEEE Trans. Image Process., 2022