【AAAI 2021】时空数据挖掘论文
今年AAAI2021接收论文投稿数为9034篇，总共有7911篇论文进行了评审，最终录取篇数为1692篇，接收率为21.4%。
简介
近日公布出了论文的接收列表，笔者对其中的时空数据挖掘相关的论文进行了梳理，共42篇，占总录取篇数比例为2.48%，具体如下：
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting. Amirreza Farnoosh, Bahar Azari, Sarah Ostadabbas
Traffic Flow Prediction with Vehicle Trajectories. Mingqian Li, Panrong Tong, Mo Li, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua
Dynamic Gaussian Mixture Based Deep Generative Model for Robust Forecasting on Sparse Multivariate Time Series. Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B Davidson
Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning. Huiling Qin, Songyu Ke, Xiaodu Yang, Haoran Xu, Xianyuan Zhan, Yu Zheng
Attentive Neural Point Processes for Event Forecasting. Yulong Gu
Pre-Training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction. Yan Lin, Huaiyu Wan, Shengnan Guo, Youfang Lin
Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction. Inhwan Bae, Hae-Gon Jeon
Second Order Techniques for Learning Time-Series with Structural Breaks. Takayuki Osogami
Correlative Channel-Aware Fusion for Multi-View Time Series Classification. Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu
Coupled Layer-Wise Graph Convolution for Transportation Demand Prediction. Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong
Learnable Dynamic Temporal Pooling for Time Series Classification. Dongha Lee, Seonghyeon Lee, Hwanjo Yu
CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction. Matias Mendieta, Hamed Tabkhi
Learning Representations for Incomplete Time Series Clustering. Qianli Ma, Chuxin Chen, Sen Li, Garrison Cottrell
Hierarchical Graph Convolution Network for Traffic Forecasting. Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed by Second-Order Traffic Models. Rongye Shi, Zhaobin Mo, Xuan Di
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation. Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee
GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting. Beibei Wang, Youfang Lin, Shengnan Guo, Huaiyu Wan
Temporal Latent Autoencoder: A Method for Probabilistic Multivariate Time Series Forecasting. Nam Nguyen, Brian Quanz
A Multi-Step-Ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting. Chia-Yuan Chang, Cheng-Wei Lu, Chuan-Ju Wang
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series. Ailin Deng, Bryan Hooi
ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification. Guozhong Li, Byron Choi, Jianliang Xu, Sourav S Bhowmick, Kwok-Pan Chun, Grace Lai-Hung Wong
Joint-Label Learning by Dual Augmentation for Time Series Classification. Qianli Ma, Zhenjing Zheng, Jiawei Zheng, Sen Li, Wanqing Zhuang, Garrison Cottrell
Out-of-Town Recommendation with Travel Intention Modeling. Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E Hughes, Yanjie Fu
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting. Mengzhang Li, Zhanxing Zhu
Hierarchically and Cooperatively Learning Traffic Signal Control. Bingyu Xu, Yaowei Wang, Zhaozhi Wang, Huizhu Jia, Zongqing Lu
Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision. Rongqin Liang, Yuanman Li, Xia Li, Yi Tang, Jiantao Zhou, Wenbin Zou
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning. Christos Markos, James Yu, Richard Yi Da Xu
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
Community-Aware Multi-Task Transportation Demand Prediction. Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang
Generative Semi-Supervised Learning for Multivariate Time Series Imputation. Xiaoye Miao, Yangyang Wu, Jun Wang, Yunjun Gao, Xudong Mao, Jianwei Yin
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction. Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang
Learning Precise Temporal Point Event Detection with Misaligned Labels. Julien Schroeter, Kirill Sidorov, David Marshal
Outlier Impact Characterization for Time Series Data. Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. Tong Xia, Jie Feng, Yunhan Qi, Fengli Xu, Yong Li, Diansheng Guo, Funing Sun
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances. Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting. Boris N. Oreshkin, Dmitri Carpov, Chapados Nicolas, Yoshua Bengio
Multi-Layer Networks for Ensemble Precipitation Forecasts Postprocessing. Fengyang Xu, Guanbin Li, Yunfei Du, Zhiguang Chen, Yutong Lu
Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service. Amutheezan Sivagnanam, Afiya Ayman, Michael Wilbur, Philip Pugliese, Abhishek Dubey, Aron Laszka
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
小结
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