近几年,发表科研论文50余篇,SCI/Ei检索40多篇。
期刊论文(*表示通讯作者):
Longfei Wang, Gan Wang, Huajun Liu*, Modulation Hypothesis Augmented Transformer for Emitter Signal Deinterleaving, submitted to IEEE Signal Processing Letters, 2024.
Huajun Liu*, Yuan Jiang, Xinyi Fan, Cailing Wang, Suting Chen, Hui Kong, Spectra-embedded Transformer for Hand Gesture Recognition on Micro-Doppler Signatures, submitted to IEEE Transactions on Instrument and Measurement, 2024.
Huajun Liu*, Xinyu Zhou, Cailing Wang, Suting Chen, Hui Kong, Fourier Mixing Deformable Convolution Network for Road Segmentation from Remote Sensing Images, submitted to IEEE Transactions on Geoscience and Remote Sensing, 2024.
Huajun Liu*, He Su, Haofeng Zhang, Suting Chen, Fei Wang. Unified Deep Complex Transformer-Convolution Models for Human Activity Recognition from Radio Signals, submitted to IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
Huajun Liu*, Cailing Wang, Jinding Zhao, Suting Chen, Hui Kong, Adaptive Fourier Convolution Network for Road Segmentation from Remote Sensing Images , IEEE Transactions on Geoscience and Remote Sensing (to appear), 2024.
Huajun Liu*, Jing Yang, Shidong Wang, Hui Kong, Qiang Chen, Haofeng Zhang, Learning to segment complex vessel-like structures with spectral transformer, Expert Systems with Applications, 2024.
Huajun Liu*, Jing Yang, Xiangyu Miao, Christoph Mertz, Hui Kong. CrackFormer Network for Pavement Crack Segmentation, IEEE Transactions on Intelligent Transprotation Systems, 2023.
Xinyi Fan, Huajun Liu*. FlexFormer: Flexible Transformer for Efficient Visual Recognition. Pattern Recognition Letters, 2023.
Jing Yang, Huajun Liu*. Modulation Learning on Fourier-Domain for Road Extraction from Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, pages (1-1), Jan. 2023.
Huajun Liu*, Fuqiang Liu, Xinyi Fan and Dong Huang. Polarized Self-attention: Towards high-quality pixel-wise mapping. Neurocomputing, 506 (2022), pp. 158-167.
Jingren Liu, Yi Chen, Huajun Liu, Haofeng Zhang, and Yudong Zhang. From Less to More: Progressive Generalized Zero-Shot Detection With Curriculum Learning. IEEE Transactions on Intelligent Transprotation Systems, 2022.
Huajun Liu*, Zuyuan Yang, Haofeng Zhang, Cailing Wang, Edge detection with attention: From global view to local focus. Pattern Recognition Letters, 154 (2022), pp. 99–109.
Cai Xinpeng, Jia Zhengwang, Liu Huajun*, Transformer network for fire locating from radar measurements, Journal of Nanjing University of Science and Technology, 2021, 45 (2): 189-196.
Huajun Liu *, Liwei Xia and CailingWang (2019), Maneuvering Target Tracking Using Simultaneous Optimization and Feedback Learning Algorithm Based on Elman Neural Network, Sensors, 2019, 19, pp. 1-19.
Fei Ma, Xiaoke Zhu, Cailing Wang, Huajun Liu, XiaoYuan Jing (2019), Multi-orientation and multi-scale features discriminant learning for palmprint recognition, Neurocomputing, 348 (2019), pp. 169-178.
Cailing Wang, Yechao Xu*, Huajun Liu*, Xiaoyuan Jing (2018), Retrogression of correlation filters for discriminative visual object tracking, Journal of Electronic Imaging, 2018, 27(6): 063010-1: 063010-12.
Cailing Wang, Yechao Xu*, Huajun Liu*, Xiaoyuan Jing (2018), Learning correlation filters in independent feature channels for robust visual tracking, Pattern Recognition Letters, 2018: 1-9.
Shaofa LAI, Huajun LIU* (2017), Novel approach in maneuvering target tracking based on support vector regression, Journal of Nanjing University of Science and Technology, 2017, 41(2): 264-267.
Cailing Wang, Huajun Liu, Guang Han, Xiaoyuan Jing (2017), Automotive FMCW Radar-Enhanced Range Estimation via a Local Resampling Fourier Transform, International Journal of Advanced Robotic Systems, 2017, 5(12).
Huajun LIU*, Cailing WANG, Jingyu YANG (2016), Vanishing points estimationand road scene understanding based on Bayesian posterior probability, Industrial Robot: An International Journal, 2016, 43(1): 12-21.
Huajun LIU*, Cailing WANG, Jianfeng LU, Zhenmin TANG, Jingyu YANG (2016), Maximum Likelihood Estimation of Monocular Optical Flow Field for Mobile Robot Ego-motion, International Journal of Advanced Robotic Systems, 2016, 13(12).
Huajun LIU*, Shaofa LAI (2016), Fast square root CKF for automotive millimeter-wave radar target tracking, Journal of Nanjing University of Science and Technology, 2016, 40(1): 56-60.
会议论文(*表示通讯作者):
Haowei Jia, Gan Wang, Huajun Liu*. Spatial-Temporal Attention Network for Track-Track Association with Biased Data, IEEE International Conference on Information Fusion, 2024.
He Su, Xinyi Fan, Huajun Liu*. Robust and Efficient Modulation Recognition with Pyramid Signal Transformer, IEEE Global Communications Conference (GLOBECOM), 2022.
Huajun Liu*, Xiangyu Miao, Christoph Mertz, Chengzhong Xu, Hui Kong. CrackFormer: Transformer Network for Fine-Grained Crack Detection, ICCV 2021.
Huajun Liu, Fuqiang Liu, Xinyi Fan, Dong Huang. Polarized Self-Attention: Towards High-quality Pixel-wise Regression, arXiv:2107.00782, 2021.
Huajun Liu*, Hui Zhang, Christoph Mertz (2019),DeepDA: LSTM-based Deep Data Association Network for Multi-Targets Tracking in Clutter, 22nd IEEE International Conference on Information Fusion (FUSION 2019), Ottawa Canada, 2019
Mingyue Chen, Cailing Wang, Huajun Liu*, Salient FlowNet and Decoupled LSTM Network for Robust Visual Odometry, IEEE International Conference on Robotics and Biomimetics (ROBIO), 2019.
Cailing Wang, Zhenfei Zang, Huajun Liu, Xiaoyuan Jing (2018),Tracking with DAG Recurrent Neural Networks and Motion Revising, IEEE International Conference on Cloud Computing and Intelligence Systems, Nanjing China, 2018.
Liwei Xia, Ya Zhang, Huajun Liu * (2017),Online Optimization and Feedback Elman Neural Network for Maneuvering Target Tracking, 2017 4th IAPR Asian Conference on Pattern Recognition, 494-499, 2017.
Liu Huajun *, Wang Cailing, Yang Jingyu (2014),Vanishing points stimation and lanes identification based on Bayesian posterior probability,IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO), 867-872,2014.12.5-2014.12.10.