AAAI 2026将在2026年1月20日到1月27日于新加坡(Singapore)举行。AAAI 2026会议主会共有23, 680篇论文投稿,其中4, 167 篇被接收,接收率为17.6%。
本文总结了2026 AAAI 上有关时空数据(Spatial-Temporal)相关论文。如有疏漏,欢迎大家补充。
时空数据Topic :时空预测,天气预报,城市区域表示,轨迹表示学习,相似度计算,轨迹预测,自动驾驶,POI推荐等。总计46 篇,本文涉及22篇。
注 :由于论文数目较多,分为上下篇 ,此为下篇 ,主要涵盖自动驾驶(路径规划,交通模拟,地图生成等),天气预报,城市区域表示学习,POI推荐等的文章。
| 25. DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning 26. DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous Driving 27. Autonomous Vehicle Path Planning by Searching with Differentiable Simulation 28. DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion 29. Persistent Autoregressive Mapping with Traffic Rules for Autonomous Driving 30. Transferring Causal Driving Patterns for Traffic Simulation with Diffusion-Based Distillation 31. Diverse Human Driving Vehicle Simulation in Background Traffic for Autonomous Driving Tests 32. Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs 34. SynWeather: Weather Observation Data Synthesis Across Multiple Regions and Variables via a General Diffusion Transformer 35. Tree-Based Stochastic Optimization for Solving Large-Scale Urban Network Security Games 36. Toward Time-Continuous Data Inference in Sparse Urban CrowdSensing 37. MTP: Exploring Multimodal Urban Traffic Profiling with Spectrum Fusion and Modality Augmentation 38. Improving Region Representation Learning from Urban Imagery with Noisy Long-Caption Supervision 39. Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning 40. Exploiting Pre-trained Language Model for Cross-city Urban Flow Prediction Guided by Information-theoretic Analysis 41. Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization 42. Meta Dynamic Graph for Traffic Flow Prediction 43. TOOL4POI: A Tool-Augmented LLM Framework for Next POI Recommendation 44. Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation 45. Task-Aware Meta-Learning on Heterogeneous Knowledge Graph for POI Recommendation 46. LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation |
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25 DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning
链接 :++https://arxiv.org/abs/2506.06659++
作者:Wenhao Yao; Zhenxin Li; Shiyi Lan; Zi Wang; Xinglong Sun; Jose M. Alvarez; Zuxuan Wu
关键词:轨迹选择,自动驾驶

26 DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous Driving
链接 :++https://arxiv.org/abs/2511.17150++
作者:Liuhan Yin; Runkun Ju; Guodong Guo; Erkang Cheng
关键词:轨迹预测,自动驾驶

27 Autonomous Vehicle Path Planning by Searching with Differentiable Simulation
链接 :++https://arxiv.org/abs/2511.11043++
作者:Asen Nachkov; Jan-Nico Zaech; Danda Pani Paudel; Xi Wang; Luc van Gool
关键词:路径规划,自动驾驶,微分模拟

28 DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion
作者:Chenxu Han; Sean Bin Yang; Jilin Hu
关键词:地图匹配,稀疏轨迹,扩散模型
29 Persistent Autoregressive Mapping with Traffic Rules for Autonomous Driving
链接 :++https://arxiv.org/abs/2509.22756++
作者:Shiyi Liang; Xinyuan Chang; Changjie Wu; Huiyuan Yan; Yifan Bai; Xinran Liu; Hang Zhang; Yujian Yuan; Shuang Zeng; Mu Xu; Xing Wei
关键词:地图生成

30 Transferring Causal Driving Patterns for Traffic Simulation with Diffusion-Based Distillation
作者:Yuhang Chen; Jie Sun; Jialin Fan; Jian Sun
关键词:交通模拟,蒸馏,因果
31 Diverse Human Driving Vehicle Simulation in Background Traffic for Autonomous Driving Tests
链接 :++https://arxiv.org/abs/2508.16962v1++
作者:Wendi Li; Hao Wu; Han Gao; Bing Mao; Fengyuan Xu; Sheng Zhong
关键词:交通生成,LLM

32 Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs
作者:Yuxuan Liu; Wenchao Xu; Haozhao Wang; Zhiming He; Zhaofeng Shi; Chongyang Xu; Peichao Wang; Boyuan Zhang
关键词:动态时空图,因果,联邦学习
33 A Domain-specific Heuristic for PDDL±based Traffic Signal Optimisation
作者:Francesco Doria; Francesco Percassi; Marco Maratea; Mauro Vallati
关键词:交通信号优化,启发式
34 SynWeather: Weather Observation Data Synthesis Across Multiple Regions and Variables via a General Diffusion Transformer
链接 :++https://arxiv.org/abs/2511.08291++
作者:Kaiyi Xu; Junchao Gong; Zhiwang Zhou; Zhangrui Li; Yuandong Pu; Yihao Liu; Ben Fei; Fenghua Ling; Wenlong Zhang; LEI BAI
关键词:气象数据合成,DiT

35 Tree-Based Stochastic Optimization for Solving Large-Scale Urban Network Security Games
链接 :++https://arxiv.org/abs/2511.10072++
作者:Shuxin Zhuang; Linjian Meng; Shuxin Li; Minming Li; Youzhi Zhang
关键词:城市网络安全博弈

36 Toward Time-Continuous Data Inference in Sparse Urban CrowdSensing
链接 :++https://arxiv.org/abs/2408.16027++
作者:Hao Du; Wenbin Liu; Ziyu Sun; Haoyang Su; En Wang; Yuanbo Xu
关键词:稀疏移动群智感知

37 MTP: Exploring Multimodal Urban Traffic Profiling with Spectrum Fusion and Modality Augmentation
链接 :++https://arxiv.org/abs/2511.10218++
作者:Haolong Xiang; Peisi Wang; Xiaolong Xu; Kun Yi; Xuyun Zhang; Quan Z. Sheng; Amin Beheshti; Wei Fan
关键词:多模态城市交通分析

38 Improving Region Representation Learning from Urban Imagery with Noisy Long-Caption Supervision
链接 :++https://arxiv.org/abs/2511.07062++
作者:Yimei Zhang; Guojiang Shen; Kaili Ning; Tongwei Ren; Xuebo Qiu; Mengmeng Wang; Xiangjie Kong
关键词:城市区域表示学习

39 Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning
作者:Yingde Lin; Yuanbo Xu; Lu Jiang; Pengyang Wang
关键词:城市区域表示学习,对比学习
40 Exploiting Pre-trained Language Model for Cross-city Urban Flow Prediction Guided by Information-theoretic Analysis
作者:Qiang Zhou; Xudong Tong; Yuting Liu; ChuanXing Liu; Jingjing Gu
关键词:跨城市流量预测,预训练语言模型
41 Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization
链接 :++https://arxiv.org/abs/2511.07098++
作者:Yuanshao Zhu; Xiangyu Zhao; Zijian Zhang; Xuetao Wei; James Jianqiao Yu
关键词:细粒度城市流量推理,轻量化

42 Meta Dynamic Graph for Traffic Flow Prediction
作者:Yiqing Zou; Hanning Yuan; Qianyu Yang; Ziqiang Yuan; Shuliang Wang; Sijie Ruan
关键词:交通预测,动态图
43 TOOL4POI: A Tool-Augmented LLM Framework for Next POI Recommendation
链接 :++https://arxiv.org/abs/2511.06405++
作者:Dongsheng Wang; Shen Gao; Chengrui Huang; Yuxi Huang; Ruixiang Feng; Shuo Shang
关键词:POL推荐,LLM

44 Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation
作者:Yuxi Lin; Yongkang Li; Jie Xing; Zipei Fan
关键词:POI推荐,超图
45 Task-Aware Meta-Learning on Heterogeneous Knowledge Graph for POI Recommendation
作者:Jingyuan Wang; Zhichun Wang; Tong Lu; Yiming Guan
关键词:POI推荐,异质知识图谱
46 LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation
作者:Hao Jiang; Guoquan Wang; Donglin Zhou; Sheng Yu; Yang Zeng; Wencong Zeng; Kun Gai; Guorui Zhou
关键词:本地生活推荐,地理语义tokenize,LLM
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