KDD 2024 时空数据(Spatio-temporal) ADS论文总结

本文主要是介绍KDD 2024 时空数据(Spatio-temporal) ADS论文总结，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

2024 KDD（ ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 知识发现和数据挖掘会议）在2024年8月25日-29日在西班牙巴塞罗那举行。

本文总结了KDD2024有关时空数据(Spatial-temporal) 的相关论文，如有疏漏，欢迎大家补充。

时空数据Topic：时空（交通）预测, 生成，拥堵预测，定价预测，气象预测，轨迹生成，预测，异常检测，信控优化等

ADS track中有2个session中与时空数据（城市计算）紧密相关：Spatiotemporal Applications 与 Urban Mobility，还有一些其余session中有一些做的时空数据任务。

KDD 2024 时空数据(Spatial-temporal) ADS论文总结
Spatiotemporal Applications

1. Transportation Marketplace Rate Forecast Using Signature Transform
2. MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge
3. Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization
4. LaDe: The First Comprehensive Last-mile Express Dataset from Industry
5. UrbanGPT: Spatio-Temporal Large Language Models
6. Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction
7. Weather Knows What Will Occur: Urban Public Nuisance Events Prediction and Control with Meteorological Assistance

Urban Mobility

8. Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
9. TrajRecovery: An Efficient Vehicle Trajectory Recovery Framework based on Urban-Scale Traffic Camera Records
10. DuMapNet: An End-to-End Vectorization System for City-Scale Lane-Level Map Generation
11. An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems
12. FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction
13. PEMBOT: Pareto-Ensembled Multi-task Boosted Trees

其他

14. FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting

🌟【紧跟前沿】“时空探索之旅”与你一起探索时空奥秘！🚀
欢迎大家关注时空探索之旅时空探索之旅

Spatiotemporal Applications

1. Transportation Marketplace Rate Forecast Using Signature Transform

ACM链接：https://dl.acm.org/doi/abs/10.1145/3637528.3671637

链接：https://arxiv.org/abs/2401.04857

作者：Haotian Gu (University of California, Berkeley); Xin Guo (Worldwide Operations Research Science, Amazon.com Inc., University of California, Berkeley); Timothy L. Jacobs (Worldwide Operations Research Science, Amazon.com Inc.); Philip Kaminsky (Worldwide Operations Research Science, Amazon.com Inc., University of California, Berkeley); Xinyu Li (University of California, Berkeley)

关键词：运价预测

2. MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge

ACM链接：https://dl.acm.org/doi/abs/10.1145/3637528.3671533

链接：https://arxiv.org/abs/2407.01005

作者：Yuning Chen (University of California, Merced); Kang Yang (University of California, Merced); Zhiyu An (University of California, Merced); Brady Holder (University of California, Agriculture and Natural Resources); Luke Paloutzian (University of California, Agriculture and Natural Resources); Khaled M. Bali (University of California, Agriculture and Natural Resources); Wan Du (University of California, Merced)

关键词：时序预测，因果学习，模型预测控制

3. Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization

ACM链接：https://dl.acm.org/doi/abs/10.1145/3637528.3671544

作者：Haoye Chai (Department of Electronic Engineering, BNRist, Tsinghua University); Tao Jiang (Research Center of 6G Mobile Communications, School of Cyber Science and Engineering, Huazhong University of Science and Technology); Li Yu (Chinamobile Research Institute)

关键词：交通数据生成，扩散模型，卫星图像

4. LaDe: The First Comprehensive Last-mile Express Dataset from Industry

ACM链接：https://dl.acm.org/doi/abs/10.1145/3637528.3671548

链接：https://arxiv.org/abs/2306.10675

代码：https://github.com/wenhaomin/LaDe

作者：Lixia Wu (Cainiao Network); Haomin Wen (School of Computer and Information Technology, Beijing Jiaotong University, Cainiao Network); Haoyuan Hu (Cainiao Network); Xiaowei Mao (School of Computer and Information Technology, Beijing Jiaotong University, Cainiao Network); Yutong Xia (National University of Singapore); Ergang Shan (Cainiao Network); Jianbin Zheng (Artificial Intelligence Department, Cainiao Network); Junhong Lou (Cainiao Network); Yuxuan Liang (Hong Kong University of Science and Technology (Guangzhou)); Liuqing Yang (Hong Kong University of Science and Technology (Guangzhou)); Roger Zimmermann (National University of Singapore); Youfang Lin (School of Computer and Information Technology, Beijing Jiaotong Univercity); Huaiyu Wan (School of Computer and Information Technology, Beijing Jiaotong University)

关键词：物流数据集，最后一公里配送

5. UrbanGPT: Spatio-Temporal Large Language Models

ACM链接：https://dl.acm.org/doi/abs/10.1145/3637528.3671578

链接：https://arxiv.org/abs/2403.00813

代码：https://github.com/HKUDS/UrbanGPT

作者：Zhonghang Li (South China University of Technology, The University of Hong Kong); Lianghao Xia (The University of Hong Kong); Jiabin Tang (The University of Hong Kong); Yong Xu (South China University of Technology); Lei Shi (Baidu Inc.); Long Xia (Baidu Inc.); Dawei Yin (Baidu Inc.); Chao Huang (The University of Hong Kong)

关键词：交通预测，大模型

备注：没有部署的ADS

6. Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction

ACM链接：https://dl.acm.org/doi/abs/10.1145/3637528.3671608

作者：Dekang Qi (Southwest Jiaotong University, JD iCity, JD Technology); Xiuwen Yi (JD iCity, JD Technology, JD Intelligent Cities Research); Chengjie Guo (Xidian University); Yanyong Huang (Southwestern University of Finance and Economics); Junbo Zhang (JD iCity, JD Technology, JD Intelligent Cities Research); Tianrui Li (Southwest Jiaotong University); Yu Zheng (JD iCity, JD Technology, JD Intelligent Cities Research)

关键词：室内温度预测，可解释性预测，时空一致性

7. Weather Knows What Will Occur: Urban Public Nuisance Events Prediction and Control with Meteorological Assistance

ACM链接：https://dl.acm.org/doi/abs/10.1145/3637528.3671639

作者：Yi Xie (Fudan University); Tianyu Qiu (Fudan University); Yun Xiong (Fudan University); Xiuqi Huang (Shanghai Jiaotong University); Xiaofeng Gao (Shanghai Jiao Tong University); Chao Chen (Sorbonne Université – Faculté des Sciences (Paris VI)); Qiang Wang (Shanghai Center for Meteorological Disaster Prevention Technology); Haihong Li (Shanghai Center for Meteorological Disaster Prevention Technology)

关键词：气象辅助的城市事件预测

Urban Mobility

8. Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction

链接：https://arxiv.org/abs/2406.12923

ACM链接：https://dl.acm.org/doi/abs/10.1145/3637528.3671507

作者：Wenzhao Jiang (The Hong Kong University of Science and Technology (Guangzhou)); Jindong Han (The Hong Kong University of Science and Technology); Hao Liu (The Hong Kong University of Science and Technology (Guangzhou), The Hong Kong University of Science and Technology); Tao Tao (Didichuxing Co. Ltd); Naiqiang Tan (Didichuxing Co. Ltd); Hui Xiong (The Hong Kong University of Science and Technology (Guangzhou), The Hong Kong University of Science and Technology)

关键词：拥堵预测，混合专家系统

9. TrajRecovery: An Efficient Vehicle Trajectory Recovery Framework based on Urban-Scale Traffic Camera Records

ACM链接：https://dl.acm.org/doi/abs/10.1145/3637528.3671558

作者：Dongen Wu (Zhejiang University); Ziquan Fang (Zhejiang University); Qichen Sun (Zhejiang University); Lu Chen (Zhejiang University); Haiyang Hu (Zhejiang University); Fei Wang (Zhejiang University); Yunjun Gao (Zhejiang University)

关键词：轨迹恢复

10. DuMapNet: An End-to-End Vectorization System for City-Scale Lane-Level Map Generation

ACM链接：https://dl.acm.org/doi/abs/10.1145/3637528.3671579

链接：https://arxiv.org/abs/2406.14255

代码：https://github.com/XiyanLiu/DuMapNet

作者：Deguo Xia (Tsinghua University, Baidu Inc.); Weiming Zhang (Baidu Inc.); Xiyan Liu (Baidu Inc.); Wei Zhang (Baidu Inc.); Chenting Gong (Baidu Inc.); Jizhou Huang (Baidu Inc.); Mengmeng Yang (Tsinghua University); Diange Yang (Tsinghua University)

关键词：城市车道级别地图生成

11. An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems

ACM链接：https://dl.acm.org/doi/abs/10.1145/3637528.3671606

链接：https://arxiv.org/abs/2408.07327

作者：Taeyoung Yun (KAIST); Kanghoon Lee (KAIST); Sujin Yun (KAIST); Ilmyung Kim (Korea Telecom); Won-Woo Jung (Korea Telecom); Min-Cheol Kwon (Korea Telecom); Kyujin Choi (Korea Telecom); Yoohyeon Lee (Korea Telecom); Jinkyoo Park (KAIST)

关键词：交通灯，元学习，黑盒优化

12. FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction

链接：https://zhouzimu.github.io/paper/kdd24-yang.pdf

ACM链接：https://dl.acm.org/doi/abs/10.1145/3637528.3671613

代码：https://github.com/LarryHawkingYoung/KDD2024_FedGTP

作者：Linghua Yang (SKLCCSE Lab, Beihang University); Wantong Chen (SKLCCSE Lab, Beihang University); Xiaoxi He (Faculty of Science and Technology, University of Macau); Shuyue Wei (SKLCCSE Lab, Beihang University); Yi Xu (SKLCCSE Lab, Institute of Artificial Intelligence, Beihang University); Zimu Zhou (School of Data Science, City University of Hong Kong); Yongxin Tong (SKLCCSE Lab, Beihang University)

关键词：交通预测，联邦学习

13. PEMBOT: Pareto-Ensembled Multi-task Boosted Trees

链接：https://www.amazon.science/publications/pembot-pareto-ensembled-multi-task-boosted-trees

ACM链接：https://dl.acm.org/doi/abs/10.1145/3637528.3671619

作者：Gokul Swamy (International Machine Learning, Amazon); Anoop Saladi (International Machine Learning, Amazon); Arunita Das (International Machine Learning, Amazon); Shobhit Niranjan (International Machine Learning, Amazon)

关键词：帕累托最优，多任务

其他

14. FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting

链接：https://arxiv.org/abs/2402.05823

ACM链接：https://dl.acm.org/doi/abs/10.1145/3637528.3671509

作者：Ziqing Ma (DAMO Academy, Alibaba Group); Wenwei Wang (DAMO Academy, Alibaba Group); Tian Zhou (DAMO Academy, Alibaba Group); Chao Chen (DAMO Academy, Central South University); Bingqing Peng (DAMO Academy, Alibaba Group); Liang Sun (DAMO Academy, Alibaba Group); Rong Jin (DAMO Academy, Alibaba Group)

关键词：太阳能预测，模态聚合，向量量化，零样本

相关链接

; Bingqing Peng (DAMO Academy, Alibaba Group); Liang Sun (DAMO Academy, Alibaba Group); Rong Jin (DAMO Academy, Alibaba Group)

关键词：太阳能预测，模态聚合，向量量化，零样本

[外链图片转存中…(img-n0idp4l1-1725679952235)]

相关链接

KDD 2024 Applied Data Science Paper：https://kdd2024.kdd.org/applied-data-science-track-papers/

🌟【紧跟前沿】“时空探索之旅”与你一起探索时空奥秘！🚀
欢迎大家关注时空探索之旅时空探索之旅

这篇关于KDD 2024 时空数据(Spatio-temporal) ADS论文总结的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！

---