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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

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Posts

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publications

A Lightweight, Centralized, Collaborative, Truncated Signed Distance Function-Based Dense Simultaneous Localization and Mapping System for Multiple Mobile Vehicles

Sensors2024

BibTeX
@article{Que_2024,
  title = {A Lightweight, Centralized, Collaborative, Truncated Signed Distance Function-Based Dense Simultaneous Localization and Mapping System for Multiple Mobile Vehicles},
  volume = {24},
  ISSN = {1424-8220},
  url = {http://dx.doi.org/10.3390/s24227297},
  DOI = {10.3390/s24227297},
  number = {22},
  journal = {Sensors},
  publisher = {MDPI AG},
  author = {Que, Haohua and Gao, Haojia and Shan, Weihao and Yang, Xinghua and Zhao, Rong},
  year = {2024},
  month = nov,
  pages = {7297}
}

Mapping at First Sense: A Lightweight Neural Network-Based Indoor Structures Prediction Method for Robot Autonomous Exploration

IJCNN 20252025

BibTeX
@misc{gao2025mappingsenselightweightneural,
  title = {Mapping at First Sense: A Lightweight Neural Network-Based Indoor Structures Prediction Method for Robot Autonomous Exploration},
  author = {Haojia Gao and Haohua Que and Kunrong Li and Weihao Shan and Mingkai Liu and Rong Zhao and Lei Mu and Xinghua Yang and Qi Wei and Fei Qiao},
  year = {2025},
  eprint = {2504.04061},
  archivePrefix = {arXiv},
  primaryClass = {cs.RO},
  url = {https://arxiv.org/abs/2504.04061}
}

A Wireless Collaborated Inference Acceleration Framework for Plant Disease Recognition

ICIC 20252025

BibTeX
@inbook{Zhu_2025,
  title = {A Wireless Collaborated Inference Acceleration Framework for Plant Disease Recognition},
  ISBN = {9789819500062},
  ISSN = {1611-3349},
  url = {http://dx.doi.org/10.1007/978-981-95-0006-2_28},
  DOI = {10.1007/978-981-95-0006-2_28},
  booktitle = {Advanced Intelligent Computing Technology and Applications},
  publisher = {Springer Nature Singapore},
  author = {Zhu, Hele and Huang, Xinyi and Gao, Haojia and Jiang, Mengfei and Que, Haohua and Mu, Lei},
  year = {2025},
  pages = {331--341}
}

Wireless Collaborative Inference Acceleration Based on Distillation for Weed Detection and Instance Segmentation

IROS 20252025

BibTeX
@inproceedings{li2025wireless,
title={Wireless Collaborative Inference Acceleration Based on Distillation for Weed Detection and Instance Segmentation},
author={Li, Rongjiao and Mo, Yunchao and Zhao, Rongze and Gao, Haojia and Que, Haohua and Mu, Lei},
booktitle={2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
pages={1847--1854},
year={2025},
organization={IEEE}
}

SenseExpo: Lightweight Neural Networks for Efficient Autonomous Exploration and Scene Prediction

IROS 2025 Workshop2025

BibTeX
@inproceedings{que2025senseexpo,
  title = {SenseExpo: Lightweight Neural Networks for Efficient Autonomous Exploration and Scene Prediction},
  author = {Que, H. and Gao, H. and Liu, M. and Au, H. and Yao, H. and Qiao, F.},
  booktitle = {IROS 2025 Workshop on Edge AI for Robotics: Emerging Technologies and Applications},
  year = {2025},
  url = {https://openreview.net/forum?id=kElJKr1lKC}
}

MACE: Mixture-of-Experts Accelerated Coordinate Encoding for Large-Scale Scene Localization and Rendering

ICRA 20262025

BibTeX
@misc{liu2025macemixtureofexpertsacceleratedcoordinate,
  title = {MACE: Mixture-of-Experts Accelerated Coordinate Encoding for Large-Scale Scene Localization and Rendering},
  author = {Mingkai Liu and Dikai Fan and Haohua Que and Haojia Gao and Xiao Liu and Shuxue Peng and Meixia Lin and Shengyu Gu and Ruicong Ye and Wanli Qiu and Handong Yao and Ruopeng Zhang and Xianliang Huang},
  year = {2025},
  eprint = {2510.14251},
  archivePrefix = {arXiv},
  primaryClass = {cs.CV},
  url = {https://arxiv.org/abs/2510.14251}
}

FM-SAM: individual tree crown delineation and classification based on Segmentation Anything Model (SAM) and YOLOv10 in UAV imagery for forest monitoring

Computers and Electronics in Agriculture2026

BibTeX
@article{Que_2026,
  title = {FM-SAM: individual tree crown delineation and classification based on Segmentation Anything Model (SAM) and YOLOv10 in UAV imagery for forest monitoring},
  volume = {240},
  ISSN = {0168-1699},
  url = {http://dx.doi.org/10.1016/j.compag.2025.111162},
  DOI = {10.1016/j.compag.2025.111162},
  journal = {Computers and Electronics in Agriculture},
  publisher = {Elsevier BV},
  author = {Que, Haohua and Gao, Haojia and Shan, Weihao and Liu, Mingkai and An, Jianshuo and Deng, Fei and Feng, Shuo and Yang, Xinghua and Mu, Lei},
  year = {2026},
  month = jan,
  pages = {111162}
}

ACEsplat: Accelerated 3D Gaussian Scene Regression via RGB and Poses Only

arXiv2026

BibTeX
@misc{liu2026acesplat,
    title = {ACEsplat: Accelerated 3D Gaussian Scene Regression via RGB and Poses Only},
    author = {Mingkai Liu and Haohua Que and Dikai Fan and Haojia Gao and Tianle Zhu and Handong Yao and Qian Zhang and Ruopeng Zhang and Xianliang Huang and Fei Qiao},
    year = {2026},
    eprint = {2606.22091},
    archivePrefix = {arXiv},
    url = {https://arxiv.org/abs/2606.22091}
}

Task-Aware Design Boundaries for Approximate CMOS Image-Sensor Analog Front-Ends

Analog2026

BibTeX
@article{xie2026task,
    title = {Task-Aware Design Boundaries for Approximate CMOS Image-Sensor Analog Front-Ends},
    author = {Jiayue Xie and Haohua Que and Mingkai Liu and Haojia Gao and Qian Zhang and Hongyi Xu and Fei Qiao},
    year = {2026},
    journal = {Analog},
    volume = {1},
    number = {1},
    pages = {3},
    publisher = {MDPI},
    url = {https://www.mdpi.com/3042-8491/1/1/3}
}

Retrieve in Time, Correct in Frequency

arXiv2026

BibTeX
@misc{fan2026retrieve,
    title = {Retrieve in Time, Correct in Frequency},
    author = {Yuze Fan and Yue Cao and Pengjie Gao and Haojia Gao and Guangqiu Guo and Ziyue Zhang and Junbo Tan and Bokui Chen and Zhuo Zou and Xueqian Wang},
    year = {2026},
    eprint = {2608.04527},
    archivePrefix = {arXiv},
    url = {https://arxiv.org/abs/2608.04527}
}

SenseSwarm: Swarm Exploration via Neural Structure Estimation with Shared World-Anticipation for Rapid Mapping

arXiv2026

BibTeX
@misc{que2026senseswarm,
    title = {SenseSwarm: Swarm Exploration via Neural Structure Estimation with Shared World-Anticipation for Rapid Mapping},
    author = {Haohua Que and Haojia Gao and Mingkai Liu and Hoiian Au and Qian Zhang and Jiayue Xie and Yule Cai and Bokui Chen and Xueqian Wang and Fei Qiao},
    year = {2026},
    eprint = {2610.22905},
    archivePrefix = {arXiv},
    url = {https://arxiv.org/abs/2610.22905}
}

How Much Can Best-of-N Help a World Action Model? Measuring Selectable Headroom and Realizing It in Closed Loop

arXiv2026

BibTeX
@misc{gao2026much,
    title = {How Much Can Best-of-N Help a World Action Model? Measuring Selectable Headroom and Realizing It in Closed Loop},
    author = {Haojia Gao and Yue Cao and Yumin Liu and Haohua Que and Mingkai Liu and Guanqiu Guo and Zhuo Zou and Bokui Chen and Xueqian Wang},
    year = {2026},
    eprint = {2610.37196},
    archivePrefix = {arXiv},
    url = {https://arxiv.org/abs/2610.37196}
}