2023 KDD 时空数据相关论文汇总

2023 KDD论文接收情况已经放榜,Research track(研究赛道)接收率:22.1%(313/1416),ADS Track(应用数据科学赛道)接收率:25.4%(184/725)
2023 KDD论文已经在ACM图书馆官网全部上线,搜索标题即可获取原文
本文总结了在两个赛道时空数据学习的相关论文(如有疏漏,欢迎大家补充)

Research Track

Research track中有3个session中与时空数据(城市计算)紧密相关,还有一些其余session中有一些做的时空数据任务。根据标题反映其做的任务,写在【】中,如有纰漏,请在评论区指正。

Spatiotemporal Data

  • Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning
    作者:Zhengyang Zhou (University of Science and Technology of China), Qihe Huang (University of Science and Technology of China), Kuo Yang (University of Science and Technology of China), Kun Wang (University of Science and Technology of China), Xu Wang (University of Science and Technology of China), Yudong Zhang (University of Science and Technology of China), Yuxuan Liang (University of Science and Technology of China), Yang Wang (University of Science and Technology of China)

  • Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning
    作者:Xin Qin (Beijing Key Lab. of Mobile Com., CAS), Jindong Wang (Microsoft Research Asia), Shuo Ma (Beijing Key Lab. of Mobile Com., CAS), Wang Lu (Beijing Key Lab. of Mobile Com., CAS), Yongchun Zhu (Beijing Key Lab. of Mobile Com., CAS), Xin Xie (Microsoft Research Asia), Yiqiang Chen (Beijing Key Lab. of Mobile Com., CAS)

  • Localised Adaptive Spatial-Temporal Graph Neural Network
    作者:Wenying Duan (Nanchang University), Xiaoxi He (University of Macau), Zimu Zhou (City University of Hong Kong), Lothar Thiele (ETH Zurich), Hong Rao (Nanchang University)

  • Spatio-Temporal Diffusion Point Processes【扩散模型】
    作者:Yuan Yuan (Department of Electronic Engineering, Tsinghua University), Jingtao Ding (Department of Electronic Engineering, Tsinghua University), Chenyang Shao (Department of Electronic Engineering, Tsinghua University), Depeng Jin (Department of Electronic Engineering, Tsinghua University), Yong Li (Department of Electronic Engineering, Tsinghua University)

  • ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM
    作者:Mingzhi Hu (Worcester Polytechnic Institute), Xin Zhang (Worcester Polytechnic Institute), Yanhua Li (Worcester Polytechnic Institute), Xun Zhou (University of Iowa), Jun Luo (Lenovo Group Limited)

  • On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with Incompleteness
    作者:Jiayi Chen (University of Virginia), Aidong Zhang (University of Virginia)

Urban Data I

  • Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training【交通预测】【对抗网络】
    作者:Fan Liu (The Hong Kong University of Science and Technology (Guangzhou)), Weijia Zhang (The Hong Kong University of Science and Technology (Guangzhou)), Hao Liu (The Hong Kong University of Science and Technology (Guangzhou); The Hong Kong University of Science and Technology)
  • Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction【交通预测】【持续学习】
    作者:Binwu Wang (University of Science and Technology of China), Yudong Zhang (University of Science and Technology of China), Xu Wang (University of Science and Technology of China), Pengkun Wang (Suzhou Institute for Advanced Research, University of Science and Technology of China), Zhengyang Zhou (Suzhou Institute for Advanced Research, University of Science and Technology of China), LEI BAI (Shanghai AI Laboratory), Yang Wang (University of Science and Technology of China)
  • TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated Transformer【信控优化】
    作者:Qiang Wu (University of Electronic Science and Technology of China), Mingyuan Li (Beijing University of Posts and Telecommunications), Jun Shen (University of Wollongong), Linyuan Lü(University of Science and Technology of China), Bo Du (University of Wollongong), Ke Zhang (Beijing University of Posts and Telecommunications)
  • Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference【信控优化】
    作者:Mayuresh Kunjir (Amazon Web Services), Sanjay Chawla (Qatar Computing Research Institute, Hamad Bin Khalifa University), Siddarth Chandrasekar (Indian Institute of Technology Madras), Devika Jay (Indian Institute of Technology Madras), Balaraman Ravindran (Indian Institute of Technology Madras)
  • Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning【信控优化】
    作者:Xiao Han (City University of Hong Kong), Xiangyu Zhao (City University of Hong Kong), Liang Zhang (Shenzhen Research Institute of Big Data), Wanyu Wang (City University of Hong Kong)
  • Spatial Heterophily Aware Graph Neural Networks【异质性】
    作者:Congxi Xiao (University of Science and Technology of China; Baidu Research), Jingbo Zhou (Baidu Research), Jizhou Huang (Baidu Inc.), Tong Xu (University of Science and Technology of China; State Key Laboratory of Cognitive Intelligence), Hui Xiong (The Hong Kong University of Science and Technology (Guangzhou); The Hong Kong University of Science and Technology)

Urban Data II

  • LightPath: Lightweight and Scalable Path Representation Learning 【轨迹表示学习】
    作者:Sean Bin Yang (Aalborg University), Jilin Hu (East China Normal University), Chenjuan Guo (East China Normal University), Bin Yang (East China Normal University), Christian Jensen (Aalborg University)
  • Urban Region Representation Learning with OpenStreetMap Building Footprints
    作者:Yi Li (Nanyang Technological University), Weiming Huang (Nanyang Technological University), Gao Cong (Nanyang Technological University), Hao Wang (Nanyang Technological University), Zheng Wang (Nanyang Technological University)
    Multi-Temporal Relationship Inference in Urban Areas【因果推断】
    Shuangli Li (University of Science and Technology of China; Baidu Research), Jingbo Zhou (Baidu Research), Ji Liu (Baidu Research), Tong Xu (University of Science and Technology of China; State Key Laboratory of Cognitive Intelligenc), Enhong Chen (University of Science and Technology of China; State Key Laboratory of Cognitive Intelligence), Hui Xiong (The Hong Kong University of Science and Technology (Guangzhou); The Hong Kong University of Science and Technology)
  • A Study of Situational Reasoning for Traffic Understanding
    作者:Jiarui Zhang (USC/ISI), Filip Ilievski (USC/ISI), Kaixin Ma (CMU), Aravinda Kollaa (USC/ISI), Jonathan Francis (Bosch), Alessandro Oltramari (Bosch)
  • Frigate: Frugal Spatio-temporal Forecasting on Road Networks【交通预测】
    作者:Mridul Gupta (Indian Institute of Technology Delhi), Hariprasad Kodamana (Indian Institute of Technology Delhi), Sayan Ranu (Indian Institute of Technology Delhi)

其他

  • Graph Neural Processes for Spatio-Temporal Extrapolation【时空外推】【不确定性量化】【神经过程】
    作者:Junfeng Hu (National University of Singapore), Yuxuan Liang (Hong Kong University of Science and Technology (Guangzhou)), Zhencheng Fan (University of Technology Sydney), Hongyang Chen (Zhejiang Lab), Yu Zheng (JD Intelligent Cities Research; JD iCity, JD Technology), Roger Zimmermann (National University of Singapore)
  • Deep Bayesian Active Learning for Accelerating Stochastic Simulation【不确定性量化】【神经过程】
    作者:Dongxia Wu (University of California, San Diego), Ruijia Niu (University of California, San Diego), Matteo Chinazzi (Northeastern University), Alessandro Vespignani (Northeastern University), Yi-An Ma (University of California, San Diego), Rose Yu (University of California, San Diego)
  • Generative Causal Interpretation Model for Spatio-Temporal Representation Learning 【因果推断】【表示学习】
    作者:Yu Zhao (Beihang University), Pan Deng (Beihang University), Junting Liu (Beihang University), Xiaofeng Jia (Beijing Big Data Centre), Jianwei Zhang (Capinfo Company Limited)
  • MM-DAG: Multi-task DAG Learning for Multi-Modal Data with Application for Traffic Congestion Analysis【因果推断】【多任务学习】【交通拥堵】
    作者:Tian Lan (Tsinghua University), Ziyue Li (University of Cologne), zhishuai Li (SenseTime Research), Lei Bai (Shanghai AI Laboratory), Man Li (The Hong Kong University of Science and Technology), Fugee Tsung (The Hong Kong University of Science and Technology (Guangzhou)), Wolfgang Ketter (University of Cologne), Rui Zhao (SenseTime Research), Chen Zhang (Tsinghua University)
    注:位于time series session中的论文就不做赘述~
    Research Track链接:Research Track Papers - KDD 2023

ADS Track

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

Transportation I

  • CBLab: Supporting the Training of Large-Scale Traffic Control Policies with Scalable Traffic Simulation【信控优化】
    作者:Chumeng Liang (Shanghai Jiao Tong University), Zherui Huang (Shanghai Jiao Tong University), Yicheng Liu (Shanghai Jiao Tong University), Zhanyu Liu (Shanghai Jiao Tong University), Guanjie Zheng (Shanghai Jiao Tong University), Hanyuan Shi (Independent Researchers), Kan Wu (Research Center for Intelligent Transportation, Zhejiang Lab), Yuhao Du (Independent Researchers), FULIANG LI (Baidu), Zhenhui Jessie Li (Yunqi Academy of Engineering)
  • M3PT: A Multi-Modal Model for POI Tagging【POI(兴趣点)推荐】
    作者:Jingsong Yang (Fudan University), Guanzhou Han (Alibaba Group), Deqing Yang (Fudan University), Jingping Liu (East China University of Science and Technology), Yanghua Xiao (Fudan University), Xiang Xu (Alibaba Group), Baohua Wu (Alibaba Group), Shenghua Ni (Alibaba Group)
  • Understanding the Semantics of GPS-Based Trajectories for Road Closure Detection
    作者:Jiasheng Zhang (University of Electronic Science and Technology of China), Kaiqiang An (Didi Chuxing Technology Co.), Guoping Liu (Didi Chuxing Technology Co.), Xiang Wen (Didi Chuxing Technology Co.), Runbo Hu (Didi Chuxing Technology Co.), Jie Shao (University of Electronic Science and Technology of China)
  • A Data-Driven Region Generation Framework for Spatiotemporal Transportation Service Management【出行服务】
    作者:Liyue Chen (Peking University), Jiangyi Fang (Huazhong University of Science and Technology), Zhe Yu (DiDi Chuxing), Yongxin * * Tong (Beihang University), Shaosheng Cao (DiDi Chuxing), Leye Wang (Peking University)
  • Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections
    作者:Qian Sun (The Hong Kong University of Science and Technology), Le Zhang (Baidu Research), Huan Yu (The Hong Kong University of Science and Technology(Guangzhou); The Hong Kong University of Science and Technology), Weijia Zhang (The Hong Kong University of Science and Technology(Guangzhou)), Yu Mei (Baidu Inc.), Hui Xiong (The Hong Kong University of Science and Technology(Guangzhou); The Hong Kong University of Science and Technology)
  • Road Planning for Slums via Deep Reinforcement Learning【路径规划】
    作者:Yu Zheng (Department of Electronic Engineering, BNRist, Tsinghua University), Hongyuan Su (Department of Electronic Engineering, BNRist, Tsinghua University), Jingtao Ding (Department of Electronic Engineering, BNRist, Tsinghua University), Depeng Jin (Department of Electronic Engineering, BNRist, Tsinghua University), Yong Li (Department of Electronic Engineering, BNRist, Tsinghua University)
  • Large-Scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns
    作者:Shuodi Hui (Tsinghua University), Huandong Wang (Tsinghua University), Tong Li (Tsinghua University), Xinghao Yang (Tsinghua University), Xing Wang (China Mobile Research Institute), Junlan Feng (China Mobile Research Institute), Lin Zhu (China Mobile Research Institute), Chao Deng (China Mobile Research Institute), Pan Hui (Hong Kong University of Science and Technology), Depeng Jin (Tsinghua University), Yong Li (Tsinghua University)

Transportation II

  • SAInf: Stay Area Inference of Vehicles using Surveillance Camera Records
    作者:Zhipeng Ma (Southwest Jiaotong University; JD iCity, JD Technology), Chuishi Meng (JD iCity, JD Technology), Huimin Ren (JD iCity, JD Technology), Sijie Ruan (Beijing Institute of Technology), Jie Bao (JD iCity, JD Technology), Xiaoting Wang (JD iCity, JD Technology), Tianrui Li (Southwest Jiaotong University), Yu Zheng (JD iCity, JD Technology)
  • Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi【ETA 预计到达时间估计】【不确定性量化】
    作者:Hao Liu (The Hong Kong University of Science and Technology (Guangzhou)), Wenzhao Jiang (The Hong Kong University of * Science and Technology (Guangzhou)), Shui Liu (Didichuxing Co. Ltd), Xi Chen (Didichuxing Co. Ltd)
  • QTNet: Theory-Based Queue Length Prediction for Urban Traffic
    作者:Ryu Shirakami (Sumitomo Electric System Solutions, Co., Ltd.), Toshiya Kitahara (Sumitomo Electric System Solutions, Co., Ltd.), Koh Takeuchi (Kyoto University), Hisashi Kashima (Kyoto University)
  • iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation【ETA 预计到达时间估计】【增量学习】
    作者:Jindong Han (The Hong Kong University of Science and Technology), Hao Liu (The Hong Kong University of Science and Technology (Guangzhou); Guangzhou HKUST Fok Ying Tung Research Institute), Shui Liu (Didichuxing Co. Ltd.), Xi Chen (Didichuxing Co. Ltd.), Naiqiang Tan (Didichuxing Co. Ltd.), Hua Chai (Didichuxing Co. Ltd.), Hui Xiong (The Hong Kong University of Science and Technology (Guangzhou) ; Guangzhou HKUST Fok Ying Tung Research Institute)
  • A Preference-Aware Meta-Optimization Framework for Personalized Vehicle Energy Consumption Estimation
    作者:Siqi Lai (The Hong Kong University of Science and Technology (Guangzhou)), Weijia Zhang (The Hong Kong University of Science and Technology (Guangzhou)), Hao Liu (The Hong Kong University of Science and Technology (Guangzhou))
  • Deep Transfer Learning for City-Scale Cellular Traffic Generation through Urban Knowledge Graph【迁移学习】
    作者:Zhang Shiyuan (Tsinghua University), Tong Li (Tsinghua University), Shuodi Hui (Tsinghua University), Guangyu Li (China Mobile Research Institute), Yanping Liang (China Mobile Research Institute), Li Yu (China Mobile Research Institute), Depeng Jin (Tsinghua University), Yong Li (Tsinghua University)
  • Practical Synthetic Human Trajectories Generation Based on Variational Point Processes【轨迹生成】
    作者:Qingyue Long (Department of Electronic Engineering, Tsinghua University), Huandong Wang (Department of Electronic Engineering, Tsinghua University), Tong Li (Department of Electronic Engineering, Tsinghua University), Lisi Huang (China Mobile Research Institute), Kun Wang (China Mobile Research Institute), Qiong Wu (China Mobile Research Institute), Guangyu Li (China Mobile Research Institute), Yanping Liang (China Mobile Research Institute), Li Yu (China Mobile Research Institute), Yong Li (Department of Electronic Engineering, Tsinghua University)

其他

  • Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network
    作者:Jinzhu Mao (Tsinghua University), Liu Cao (Tsinghua University), Chen Gao (Tsinghua University), Huandong Wang (Tsinghua University), Fan Hangyu (Tsinghua University), Depeng Jin (Tsinghua University), Yong Li (Tsinghua University)
    ILRoute: A Graph-based Imitation Learning Method to Unveil Riders’ Routing Strategies in Food Delivery Service【外卖服务】
    作者:Tao Feng (Tsinghua University), Huan Yan (Tsinghua University), Huandong Wang (Tsinghua University), Wenzhen Huang (Tsinghua University), Yuyang Han (Tsinghua University), Hongsen Liao (Tsinghua University), Jinghua Hao (Tsinghua University), Yong Li (Tsinghua University)
  • DRL4Route: A Deep Reinforcement Learning Framework for Pick-Up and Delivery Route Prediction【物流配送】
    作者:Xiaowei Mao (Beijing Jiaotong University; Cainiao Network), Haomin Wen (Beijing Jiaotong University; Cainiao Network), Hengrui Zhang (Beijing Jiaotong University; Beijing Key Laboratory of Traffic Data Analysis and Mining), Huaiyu Wan (Beijing Jiaotong University; Beijing Key Laboratory of Traffic Data Analysis and Mining), Lixia Wu (Cainiao Network), Jianbin Zheng (Cainiao Network), Haoyuan Hu (Cainiao Network), Youfang Lin (Beijing Jiaotong University; Beijing Key Laboratory of Traffic Data Analysis and Mining)
    ADS Track链接:ADS Track Papers - KDD 2023
    相关链接:
    KDD 2022时空数据挖掘领域论文汇总
    AAAI 2023时空数据学习相关论文汇总

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