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Haoxiang Jie
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2020 – today
- 2025
[j3]Jun Hu, Chaolu Feng, Haoxiang Jie
, Zuotao Ning, Xinyi Zuo, Wei Liu, Xiangyu Wei:
LLFormer4D: LiDAR-based lane detection method by temporal feature fusion and sparse transformer. IET Comput. Vis. 19(1) (2025)
[c7]Haoxiang Jie
, Yaoyuan Yan, Xinyi Zuo:
FusionMapper: Vectorized Map Construction by Multi-modal and Temporal Fusion based on Transformer. ICCAI 2025: 31-38
[c6]Yaoyuan Yan, Haoxiang Jie
:
Sparse Deep Interaction Fusion for 3D Object Detection. ICCAI 2025: 64-69- 2023
[j2]Jing Wang
, Haoxiang Jie, Yue Jiang:
Group-guided artificial bee colony algorithm with elastic adjustment strategy. Concurr. Comput. Pract. Exp. 35(5) (2023)
[c5]Wei Liu
, Yue Zhang
, Haoxiang Jie
, Jun Hu
:
STFormer3D: Spatio-Temporal Transformer Based 3D Object Detection for Intelligent Driving. CNIOT 2023: 415-420
[c4]Jian Gao
, Haoxiang Jie, Bingqing Xu, Lifeng Liu, Jun Hu, Wei Liu:
LCDeT: LiDAR Curb Detection Network with Transformer. IJCNN 2023: 1-9
[c3]Haoxiang Jie
, Xinyi Zuo
, Jian Gao
, Wei Liu
, Jun Hu
, Shuai Cheng
:
LLFormer: An Efficient and Real-time LiDAR Lane Detection Method based on Transformer. PRIS 2023: 18-23- 2022
[c2]Haoxiang Jie
, Zuotao Ning
, Qixi Zhào
, Wei Liu
, Jun Hu
, Jian Gao
:
Multi-view Based Clustering of 3D LiDAR Point Clouds for Intelligent Vehicles. AI 2022: 57-70
[c1]Haoxiang Jie
, Yibo Zhou, Zuotao Ning, Qixi Zhào, Lifeng Liu, Jun Hu:
DyLESC: A Dynamic LiDAR Extrinsic Self-Calibration Method for Intelligent Driving Vehicles. ICITE 2022: 185-190
2010 – 2019
- 2017
[j1]Haoxiang Jie
, Yizhong Wu, Jianjun Zhao, Jianwan Ding, Liangliang:
An efficient multi-objective PSO algorithm assisted by Kriging metamodel for expensive black-box problems. J. Glob. Optim. 67(1-2): 399-423 (2017)
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