Trajectory Paper

Paper

[TOC]

Trajectory Representation Learning

2023

Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics. Jiawei Jiang(BUAA), Dayan Pan, Houxing Ren, Xiaohan Jiang, Chao Li, Jingyuan Wang. ICDE 2023. paper code

2022

Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen. ICDE 2022. paper code

Jointly Contrastive Representation Learning on Road Network and Trajectory. Zhenyu Mao(SenseTime Research), Ziyue Li, Dedong Li, Lei Bai, Rui Zhao. CIKM 2022. paper code

Modeling Spatial Trajectories With Attribute Representation Learning. Meng Chen(Shandong University), Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng. IEEE TKDE 2022. paper

Contrastive Pre-training of Spatial-Temporal Trajectory Embeddings. Yan Lin(BJTU), Huaiyu Wan, Shengnan Guo, Youfang Lin. arXiv 2022. paper

2021

Modeling Trajectories with Neural Ordinary Differential Equations. Yuxuan Liang(NUS), Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann. IJCAI 2021. paper

Unsupervised Path Representation Learning with Curriculum Negative Sampling. Sean Bin Yang(Aalborg University), Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang. IJCAI 2021. paper code

Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. Yile Chen(NTU), Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison. CIKM 2021. paper

2020

Trembr: Exploring Road Networks for Trajectory Representation Learning. Tao-Yang Fu(The Pennsylvania State University), Wang-Chien Lee. TIST 2020. paper

Trajectory Similarity

2022

Representation Learning With Multi-Level Attention for Activity Trajectory Similarity Computation. An Liu(Soochow University), Yifan Zhang, Xiangliang Zhang, Guanfeng Liu, Yanan Zhang, Zhixu Li, Lei Zhao, Qing Li, Xiaofang Zhou. IEEE TKDE 2022. paper

TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation. Di Yao(CAS), Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi. KDD 2022. paper code

Spatio-Temporal Trajectory Similarity Learning in Road Networks. Ziquan Fang(ZJU), Yuntao Du, Xinjun Zhu, Danlei Hu, Lu Chen, Yunjun Gao, Christian S Jensen. KDD 2022. paper code

TMN: Trajectory Matching Networks for Learning Similarity Computation. Peilun Yang(University of Technology Sydney), Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Wenjie Zhang. ICDE 2022. paper

TraSS: Efficient Trajectory Similarity Search Based on Key-Value Data Stores. Huajun He(Southwest Jiaotong University), Ruiyuan Li, Sijie Ruan, Tianfu He, Jie Bao, Tianrui Li, Yu Zheng. ICDE 2022. paper

Can Adversarial Training benefit Trajectory Representation? An Investigation on Robustness for Trajectory Similarity Computation. Quanliang Jing(CAS), Shuo Liu, Xinxin Fan, Jingwei Li, Di Yao, Baoli Wang, Jingping Bi. CIKM 2022. paper

Aries: Accurate Metric-based Representation Learning for Fast Top-k Trajectory Similarity Query. Chunhui Feng(Soochow University), Zhicheng Pan, Junhua Fang, Jiajie Xu, Pengpeng Zhao, Lei Zhao. CIKM 2022. paper

Efficient Trajectory Similarity Computation with Contrastive Learning. Liwei Deng(UESTC), Yan Zhao, Zidan Fu, Hao Sun, Shuncheng Liu, Kai Zheng. CIKM 2022. paper code

CSTRM: Contrastive Self-Supervised Trajectory Representation Model for trajectory similarity computation. Xiang Liu(BJTU), Xiaoying Tan, Yuchun Guo, Yishuai Chen, Zhe Zhang. Computer Communications 2022. paper

2021

A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks. Peng Han(KAUST), Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang. KDD 2021. paper

Spatial-Temporal Similarity for Trajectories with Location Noise and Sporadic Sampling. Guanyao Li(HKUST), Chih-Chieh Hung, Mengyun Liu, Linfei Pan, Wen-Chih Peng, S.-H. Gary Chan. ICDE 2021. paper

T3S: Effective Representation Learning for Trajectory Similarity Computation. Peilun Yang(University of Technology Sydney), Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin. ICDE 2021. paper

REPOSE: Distributed Top-k Trajectory Similarity Search with Local Reference Point Tries. Bolong Zheng(1Huazhong University of Science and Technology), Lianggui Weng, Xi Zhao, Kai Zeng, Xiaofang Zhou, Christian S. Jensen. ICDE 2021. paper code

2020

Parallel Semantic Trajectory Similarity Join. Lisi Chen(Hong Kong Baptist University), Shuo Shang, Christian S Jensen, Bin Yao, Panos Kalnis. ICDE 2020. paper

Trajectory Similarity Learning with Auxiliary Supervision and Optimal Matching. Hanyuan Zhang(FDU), Xinyu Zhang, Qize Jiang, Baihua Zheng, Zhenbang Sun, Weiwei Sun, Changhu Wang. IJCAI 2020. paper

Fast Subtrajectory Similarity Search in Road Networks under Weighted Edit Distance Constraints. Satoshi Koide(Toyota Central R&D Labs), Chuan Xiao, Yoshiharu Ishikawa. VLDB 2020. paper

2019

Effective and Efficient Sports Play Retrieval with Deep Representation Learning. Zheng Wang(NTU), Cheng Long, Gao Cong, Ce Ju. KDD 2019. paper code

Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach. Di Yao(CAS), Gao Cong, Chao Zhang, Jingping Bi. ICDE 2019. paper code1 code2

Distributed In-memory Trajectory Similarity Search and Join on Road Network. Haitao Yuan(THU), Guoliang Li. ICDE 2019. paper

Deep Representation Learning of Activity Trajectory Similarity Computation. Yifan Zhang(Soochow University), An Liu, Guanfeng Liu, Zhixu Li, Qing Li. ICWS 2019. paper

2018

Deep Representation Learning for Trajectory Similarity Computation. Xiucheng Li(NTU), Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei. ICDE 2018. paper code

DITA: Distributed In-Memory Trajectory Analytics. Zeyuan Shang(THU), Guoliang Li, Zhifeng Bao. SIGMOD 2018. paper code

2017

Trajectory similarity join in spatial networks. Shuo Shang(KAUST), Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis. VLDB 2017. paper

Trajectory clustering via deep representation learning. Di Yao(CAS), Chao Zhang, Zhihua Zhu, Jianhui Huang, Jingping Bi. IJCNN 2017. paper code

2010

Clustering of Vehicle Trajectories. Stefan Atev(University of Minnesota), Grant Miller, Nikolaos P. Papanikolopoulos. IEEE TITS 2010. paper

2005

Robust and fast similarity search for moving object trajectories. Lei Chen(University of Waterloo), M. Tamer Özsu, Vincent Oria. SIGMOD 2005. paper

2002

Discovering similar multidimensional trajectories. M. Vlachos(University of California Riverside), G. Kollios, D. Gunopulos. ICDE 2002. paper

Trajectory Recovery

2021

Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter. Jingyuan Wang(BUAA), Ning Wu, Xinxi Lu, Wayne Xin Zhao, Kai Feng. TKDE 2021. paper

MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task Learning. Huimin Ren(Worcester Polytechnic Institute & JD Intelligent Cities Research), Sijie Ruan, Yanhua Li, Jie Bao, Chuishi Meng, Ruiyuan Li, Yu Zheng. KDD 2021. paper code

AttnMove: History Enhanced Trajectory Recovery via Attentional Network. Tong Xia(THU), Jie Feng, Yunhan Qi, Fengli Xu, Yong Li, Diansheng Guo, Funing Sun. AAAI 2021. paper code

PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network. Hao Sun(UESTC), Changjie Yang, Liwei Deng, Fan Zhou, Feiteng Huang, Kai Zheng. CIKM 2021. paper code

2020

Spatial Transition Learning on Road Networks with Deep Probabilistic Models. Xiucheng Li(NTU), Gao Cong, Yun Cheng. ICDE 2020. paper

2019

Modelling of Bi-Directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-In Identification. Dongbo Xi(CAS), Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He. AAAI 2019. paper code

2018

A Non-Parametric Generative Model for Human Trajectories. Kun Ouyang(NUS), Reza Shokri, David S. Rosenblum, Wenzhuo Yang. IJCAI 2018. paper

2017

Trajectory Recovery From Ash: User Privacy Is NOT Preserved in Aggregated Mobility Data. Fengli Xu(THU), Zhen Tu, Yong Li, Pengyu Zhang, Xiaoming Fu, Depeng Jin. WWW 2017. paper

2016

Probabilistic Robust Route Recovery with Spatio-Temporal Dynamics. Hao Wu(FDU), Jiangyun Mao, Weiwei Sun, Baihua Zheng, Hanyuan Zhang, Ziyang Chen, Wei Wang. KDD 2016. paper

With Road Networks

2014

Inferring Uncertain Trajectories from Partial Observations. Prithu Banerjee(IBM Research), Sayan Ranu, Sriram Raghavan. ICDM 2016. paper

With Road Networks

2012

Reducing Uncertainty of Low-Sampling-Rate Trajectories. Kai Zheng(University of Queensland), Yu Zheng, Xing Xie, Xiaofang Zhou. ICDE 2012. paper

Trajectory Prediction

2022

You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction. Osama Makansi(University of Freiburg), Julius Von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Dominik Janzing, Thomas Brox, Bernhard Schölkopf. ICLR 2022. paper code

MetaPTP: An Adaptive Meta-optimized Model for Personalized Spatial Trajectory Prediction. Yuan Xu(Soochow University), Jiajie Xu, Jing Zhao, Kai Zheng, An Liu, Lei Zhao, Xiaofang Zhou. KDD 2022. paper

Social Interpretable Tree for Pedestrian Trajectory Prediction. Liushuai Shi(Xi’an Jiaotong University), Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Nanning Zheng, Gang Hua. AAAI 2022. paper code

Complementary Attention Gated Network for Pedestrian Trajectory Prediction. Jinghai Duan(Xi’an Jiaotong University), Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Liushuai Shi, Gang Hua. AAAI 2022. paper

HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic. Shuncheng Liu(UESTC), Xu Chen, Ziniu Wu, Liwei Deng, Han Su, Kai Zheng. CIKM 2022. paper

Multi-Vehicle Collaborative Learning for Trajectory Prediction With Spatio-Temporal Tensor Fusion. Yu Wang(Tongji University), Shengjie Zhao, Rongqing Zhang, Xiang Cheng, Liuqing Yang. IEEE TITS 2022. paper

2021

Multimodal Transformer Networks for Pedestrian Trajectory Prediction. Ziyi Yin(Xi’an Jiaotong University), Ruijin Liu, Zhiliang Xiong, Zejian Yuan. IJCAI 2021. paper code

Pre-Training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction. Yan Lin(BJTU), Huaiyu Wan, Shengnan Guo, Youfang Lin. AAAI 2021. paper code

Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction. Inhwan Bae(Gwangju Institute of Science and Technology), Hae-Gon Jeon. AAAI 2021. paper

Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision. Rongqin Liang(Shenzhen University), Yuanman Li, Xia Li, Yi Tang, Jiantao Zhou, Wenbin Zou. AAAI 2021. paper code

2016

Generating Long-term Trajectories Using Deep Hierarchical Networks. Stephan Zheng(Caltech), Yisong Yue, Patrick Lucey. NIPS 2016. paper

POI Recommendation

2022

Graph-Flashback Network for Next Location Recommendation. Xuan Rao(UESTC), Lisi Chen, Yong Liu, Shuo Shang, Bin Yao, Peng Han. KDD 2022.

2021

Curriculum Meta-Learning for Next POI Recommendation. Yudong Chen(THU), Xin Wang, Miao Fan, Jizhou Huang, Shengwen Yang, Wenwu Zhu. KDD 2021. paper code

STAN: Spatio-Temporal Attention Network for next Point-of-Interest Recommendation. Yingtao Luo(University of Washington), Qiang Liu, Zhaocheng Liu. WWW 2021. paper code

Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. Yang Li(The University of Queensland), Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang. IJCAI 2021. paper

MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation. Huimin Sun(Soochow University), Jiajie Xu, Kai Zheng, Pengpeng Zhao, Pingfu Chao, Xiaofang Zhou. IJCAI 2021. paper

PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation. Minseok Kim(KAIST), Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee. AAAI 2021. paper

2020

STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation. Haoyu Han(USTC), Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma, Qi Liu. ICDM 2020. paper code

Others

2022

Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories. Fengmei Jin(The University of Queensland), Wen Hua, Boyu Ruan, Xiaofang Zhou. ICDE 2022. paper code

Mutual Distillation Learning Network for Trajectory-User Linking. Wei Chen(Ocean University of China), Shuzhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong. IJCAI 2022. paper code

DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection. Xiaolin Han(HKU), Reynold Cheng, Chenhao Ma, Tobias Grubenman. VLDB 2022. paper

Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly. Won Joon Yun(Korea University), David Mohaisen, Soyi Jung, Jong-Kook Kim, Joongheon Kim. CIKM 2022. paper code

Spatio-temporal Trajectory Learning using Simulation Systems. Daniel Glake(University of Applied Sciences), Fabian Panse, Ulfia Lenfers, Thomas Clemen, Norbert Ritter. CIKM 2022. paper

TrajFormer: Efficient Trajectory Classification with Transformers. Yuxuan Liang(NUS), Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann. CIKM 2022. paper code

Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining. Zhan Wang(Shandong University), Zhaohui Peng, Senzhang Wang, Qiao Song. WSDM 2022. paper

2021

An Efficient Destination Prediction Approach Based on Future Trajectory Prediction and Transition Matrix Optimization. Zhou Yang(Xi’an Jiaotong University), Heli Sun, Jianbin Huang, Zhongbin Sun, Hui Xiong, Shaojie Qiao, Ziyu Guan, Xiaolin Jia. IEEE TKDE 2021. paper

Generating Mobility Trajectories with Retained Data Utility. Chu Cao, Mo Li. KDD 2021. paper code

Meta-Learned Spatial-Temporal POI Auto-Completion for the Search Engine at Baidu Maps. Miao Fan(Baidu Inc.), Yibo Sun, Jizhou Huang, Haifeng Wang, Ying Li. KDD 2021. paper

POI Auto-Completion

E$^2$DTC: An End to End Deep Trajectory Clustering Framework via Self-Training. Ziquan Fang(ZJU), Yuntao Du, Lu Chen, Yujia Hu, Yunjun Gao, Gang Chen. ICDE 2021. paper code

Trajectory Simplification with Reinforcement Learning. Zheng Wang(NTU), Cheng Long, Gao Cong. ICDE 2021. paper

Real-World Trajectory Sharing with Local Differential Privacy. Teddy Cunningham(University of Warwick), Graham Cormode, Hakan Ferhatosmanoglu, Divesh Srivastava. VLDB 2021. paper

2020

Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. Yiding Liu(NTU), Kaiqi Zhao, Gao Cong, Zhifeng Bao. ICDE 2020. paper code