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DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis

DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis

3 March 2020
Mingxuan Yue
Yaguang Li
Haoze Yang
Ritesh Ahuja
Yao-Yi Chiang
Cyrus Shahabi
ArXiv (abs)PDFHTML

Papers citing "DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis"

17 / 17 papers shown
Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning
Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning
Ji Cao
Yu Wang
Tongya Zheng
Zujie Ren
Canghong Jin
Gang Chen
Mingli Song
Gang Chen
Mingli Song
174
0
0
16 Oct 2025
BeSTAD: Behavior-Aware Spatio-Temporal Anomaly Detection for Human Mobility Data
BeSTAD: Behavior-Aware Spatio-Temporal Anomaly Detection for Human Mobility Data
Junyi Xie
Jina Kim
Yao-Yi Chiang
Lingyi Zhao
Khurram Hassan-Shafique
122
0
0
14 Oct 2025
HiCoTraj:Zero-Shot Demographic Reasoning via Hierarchical Chain-of-Thought Prompting from Trajectory
HiCoTraj:Zero-Shot Demographic Reasoning via Hierarchical Chain-of-Thought Prompting from Trajectory
Junyi Xie
Yuankun Jiao
Jina Kim
Yao-Yi Chiang
Lingyi Zhao
Khurram Hassan-Shafique
166
0
0
14 Oct 2025
Context-Aware Trajectory Anomaly Detection
Context-Aware Trajectory Anomaly Detection
Haoji Hu
Jina Kim
Jinwei Zhou
Sofia Kirsanova
JangHyeon Lee
Yao-Yi Chiang
260
7
0
24 Oct 2024
Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Era
Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Era
Wei Chen
Yuxuan Liang
Yuanshao Zhu
Yanchuan Chang
Kang Luo
...
Chao Chen
Kai Zheng
Yunjun Gao
Xiaofang Zhou
Yu Zheng
376
57
0
21 Mar 2024
UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain GenerationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Yan Lin
Jilin Hu
Shengnan Guo
Bin Yang
Christian S. Jensen
Youfang Lin
Huaiyu Wan
436
3
0
11 Feb 2024
Clustering Human Mobility with Multiple Spaces
Clustering Human Mobility with Multiple Spaces
Haoji Hu
Haowen Lin
Yao-Yi Chiang
132
4
0
20 Jan 2023
Self-supervised Trajectory Representation Learning with Temporal
  Regularities and Travel Semantics
Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel SemanticsIEEE International Conference on Data Engineering (ICDE), 2022
Jiawei Jiang
Dayan Pan
Houxing Ren
Xiaohan Jiang
Chao Li
Jingyuan Wang
AI4TS
303
124
0
17 Nov 2022
SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity
  Representation
SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity RepresentationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zekun Li
Jina Kim
Yao-Yi Chiang
Muhao Chen
277
47
0
21 Oct 2022
CGC: Contrastive Graph Clustering for Community Detection and Tracking
CGC: Contrastive Graph Clustering for Community Detection and TrackingThe Web Conference (WWW), 2022
Namyong Park
Ryan Rossi
Eunyee Koh
I. Burhanuddin
Sungchul Kim
F. Du
Nesreen Ahmed
Christos Faloutsos
199
47
0
05 Apr 2022
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational BayesNeural Information Processing Systems (NeurIPS), 2020
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
1.6K
20,656
0
17 Feb 2020
Autowarp: Learning a Warping Distance from Unlabeled Time Series Using
  Sequence Autoencoders
Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders
Abubakar Abid
James Zou
AI4TS
98
45
0
23 Oct 2018
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
555
11,608
0
14 Mar 2016
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
1.4K
3,318
0
19 Nov 2015
Semi-supervised Sequence Learning
Semi-supervised Sequence Learning
Andrew M. Dai
Quoc V. Le
SSL
439
1,278
0
04 Nov 2015
A Critical Review of Recurrent Neural Networks for Sequence Learning
A Critical Review of Recurrent Neural Networks for Sequence Learning
Zachary Chase Lipton
John Berkowitz
Charles Elkan
872
2,576
0
29 May 2015
Vector Field k-Means: Clustering Trajectories by Fitting Multiple Vector
  Fields
Vector Field k-Means: Clustering Trajectories by Fitting Multiple Vector Fields
Nivan Ferreira
James T. Klosowski
C. Scheidegger
Claudio Silva
257
120
0
28 Aug 2012
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