空间感知与计算(ASC)实验室简介 Intro.
厦门大学空间感知与计算实验室(spAtial Sensing and Computing,简称“ASC”)是福建省智慧城市感知与计算重点实验室(省优秀重点实验室)、数字福建城市交通大数据研究所(省发改委评比第1名)、省高等学校科技创新团队的核心团队。实验室共有专任科研人员15人,博硕士研究生100余名。围绕三维视觉、激光雷达遥感、空间群智感知、强化学习及大模型应用等研究方向发表论文200余篇(CCF-A及IEEE/ACM Trans级别80多篇),牵头或参与国家/行业/团体标准3项,授权发明专利50多项(含专利转让8项)。
实验室获国家“万人计划”科技创新领军人才、国家级人才计划基金(福建省首位)、国家海洋局重大项目、国家自然科学基金联合重点/面上/青年项目、和省科技厅与市科技局项目,并完成航天科工集团、航天科技集团、百度、腾讯、市轨道建设发展集团等委托项目60余项。获得福建省科技进步一/二等奖、国际摄影测量与遥感学会ISPRS“Giuseppe Inghilleri奖”和“Otto von Gruber奖”(均为国内首位获奖者)、中国激光雷达青年科技奖、入选ESI爱思唯尔中国高被引学者、入选福建省优秀博士/硕士论文5人。
代表性论文 Selected Papers
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Zihui Wang, Xiaoliang Fan*, Cheng Wang, et al.,

ConTIG: Continuous Representation Learning on Temporal Interaction Graphs

Neural Networks

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bibtex
@article{wang2024contig, title={Contig: Continuous representation learning on temporal interaction graphs}, author={Wang, Zihui and Yang, Peizhen and Fan, Xiaoliang and Yan, Xu and Wu, Zonghan and Pan, Shirui and Chen, Longbiao and Zang, Yu and Wang, Cheng and Yu, Rongshan}, journal={Neural Networks}, volume={172}, pages={106151}, year={2024}, publisher={Elsevier} }
Zihui Wang, Cheng Wang, Xiaoliang Fan*, et al.

FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning

KDD-2024

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bibtex
@article{wang2024fedsac, title={FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning}, author={Wang, Zihui and Wang, Zheng and Lyu, Lingjuan and Peng, Zhaopeng and Yang, Zhicheng and Wen, Chenglu and Yu, Rongshan and Wang, Cheng and Fan, Xiaoliang}, journal={arXiv preprint arXiv:2405.18291}, year={2024} }
Zhaopeng Peng, Xiaoliang Fan*, Cheng Wang, et al.

FedPFT: Federated Proxy Fine-Tuning of Foundation Models

IJCAI-2024

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bibtex
@article{peng2024fedpft, title={FedPFT: Federated Proxy Fine-Tuning of Foundation Models}, author={Peng, Zhaopeng and Fan, Xiaoliang and Chen, Yufan and Wang, Zheng and Pan, Shirui and Wen, Chenglu and Zhang, Ruisheng and Wang, Cheng}, journal={arXiv preprint arXiv:2404.11536}, year={2024} }
Jinyi Zhang, Qihong Mao, Siqi Shen, Guosheng Hu, Cheng Wang

Neighborhood-enhanced 3D Human Pose Estimation with Monocular LiDAR in Long-range Outdoor Scenes

AAAI 2024, Oral, CCF A

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Xun Huang, Hai Wu, Chenglu Wen*, Xiaoliang Fan, Xin Li, Cheng Wang

Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection

AAAI 2024

Chuanpan Zheng, Xiaoliang Fan*, Cheng Wang, et al.

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting

IEEE Transactions on Knowledge and Data Engineering

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bibtex
@article{zheng2023spatio, title={Spatio-temporal joint graph convolutional networks for traffic forecasting}, author={Zheng, Chuanpan and Fan, Xiaoliang and Pan, Shirui and Jin, Haibing and Peng, Zhaopeng and Wu, Zonghan and Wang, Cheng and Philip, S Yu}, journal={IEEE Transactions on Knowledge and Data Engineering}, year={2023}, publisher={IEEE} }
Kezheng Xiong, Maoji Zheng, Chenglu Wen*, Qingshan Xu, Siqi Shen*, Cheng Wang

SPEAL: Skeletal-Prior Embedded Attention Learning for Cross-Source Point Cloud Registration

AAAI 2024

Bochun Yang, Zijun Li, Zhipeng Cai, Wen Li, Chenglu Wen, Yu Zang, Matthias Müller, Cheng Wang*

LiSA:LiDAR Localization with Semantic Awareness

CVPR 2024