Kangjun Liu

23 papers A* 2B 1Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Paying Deformable Attention to Sparse Spatial Observations for Deep Radio Map Estimation.
IEEE Trans. Cogn. Commun. Netw.
Kangjun Liu, Chunyan Qiu, Ke Chen, Qingfang Zheng, Lingyang Song, Yaowei Wang
2026 J jnl
Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition.
IEEE Trans. Multim.
Longkun Zou, Kangjun Liu, Ke Chen, Kailing Guo, Kui Jia, Yaowei Wang
2025 — conf
Air-Ground Model Collaboration for Low-Altitude Intelligent Networks with Heterogeneous Computational Resources.
VTC2025-Fall
Lu Cheng, Shuhang Zhang, Hongliang Zhang, Qingyu Liu, Mohammed Karmoose, Kangjun Liu, Yaowei Wang
2025 A* conf
ArcPro: Architectural Programs for Structured 3D Abstraction of Sparse Points.
CVPR
Qirui Huang, Runze Zhang, Kangjun Liu, Minglun Gong, Hao Zhang, Hui Huang
2025 J jnl
ArcPro: Architectural Programs for Structured 3D Abstraction of Sparse Points.
CoRR
Qirui Huang, Runze Zhang, Kangjun Liu, Minglun Gong, Hao (Richard) Zhang, Hui Huang
2025 J jnl
Delving Deep into Semantic Relation Distillation.
CoRR
Zhaoyi Yan, Kangjun Liu, Qixiang Ye
2025 — conf
GenRadio: A Generative Framework for Fine-Grained 3D Radio Map Estimation.
VTC2025-Fall
Zhiyuan Liu, Qingyu Liu, Shuhang Zhang, Hongliang Zhang, Kangjun Liu, Yaowei Wang
2025 J jnl
Generative AI on SpectrumNet: An Open Benchmark of Multiband 3-D Radio Maps.
IEEE Trans. Cogn. Commun. Netw.
Shuhang Zhang, Shuai Jiang, Wanjie Lin, Zheng Fang, Kangjun Liu, Hongliang Zhang, Ke Chen
2025 J jnl
Improving deep representation learning via auxiliary learnable target coding.
Pattern Recognit.
Kangjun Liu, Ke Chen, Kui Jia, Yaowei Wang
2025 — conf
LocVMunet: A Vision Mamba-Based Method for RSS-Driven Outdoor Localization.
VTC2025-Fall
Chunyan Qiu, Kangjun Liu, Longkun Zou, Xinhuai Wang, Ke Chen
2025 J jnl
Multi-level contrastive reasoning over knowledge graphs for fault diagnosis of confounding cases.
Neurocomputing
Xiang Li, Runhai Jiao, Changyu Zhou, Boxu Yan, Kaihang Li, Kangjun Liu
2025 — conf
Optimal Distance-Constrained Path Planning for Sparse Radio Map Recovery.
VTC2025-Fall
Feng Qiu, Kangjun Liu, Longkun Zou, Jing Liu, Ke Chen
2025 J jnl
RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1‱ Spatial Sampling.
CoRR
Zheng Fang, Kangjun Liu, Ke Chen, Qingyu Liu, Jianguo Zhang, Lingyang Song, Yaowei Wang
2025 J jnl
Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition.
CoRR
Longkun Zou, Kangjun Liu, Ke Chen, Kailing Guo, Kui Jia, Yaowei Wang
2024 A* conf
CoTuning: A Large-Small Model Collaborating Distillation Framework for Better Model Generalization.
ACM Multimedia
Zimo Liu, Kangjun Liu, Mingyue Guo, Shiliang Zhang, Yaowei Wang
2024 J jnl
Defending against similarity shift attack for EaaS via adaptive multi-target watermarking.
Inf. Sci.
Zuopeng Yang, Pengyu Chen, Tao Li, Kangjun Liu, Yuan Huang, Xin Lin
2024 J jnl
Generative AI on SpectrumNet: An Open Benchmark of Multiband 3D Radio Maps.
CoRR
Shuhang Zhang, Shuai Jiang, Wanjie Lin, Zheng Fang, Kangjun Liu, Hongliang Zhang, Ke Chen
2024 B conf
RobUNet: A Radio Map Construction Method with A Strong Generalization Capability.
GLOBECOM
Shuai Shao, Kangjun Liu, Qingyu Liu, Shuhang Zhang, Ke Chen, Lingyang Song
2023 J jnl
Classification of single-view object point clouds.
Pattern Recognit.
Zelin Xu, Kangjun Liu, Ke Chen, Changxing Ding, Yaowei Wang, Kui Jia
2023 J jnl
Improving Deep Representation Learning via Auxiliary Learnable Target Coding.
CoRR
Kangjun Liu, Ke Chen, Yaowei Wang, Kui Jia
2023 J jnl
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States.
CoRR
Kangjun Liu, Ke Chen, Lihua Guo, Yaowei Wang, Kui Jia
2022 J jnl
Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization.
IEEE Trans. Image Process.
Kangjun Liu, Ke Chen, Kui Jia
2022 J jnl
Convolutional Fine-Grained Classification with Self-Supervised Target Relation Regularization.
CoRR
Kangjun Liu, Ke Chen, Kui Jia