Chenjuan Guo

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 65

Top Venues

University of Manchester, UK (PHD)

Education History

University of Manchester, UK

PHD

Publications

Chenjuan Guo, Ronghui Xu, Bin Yang, Ye Yuan, Tung Kieu, Yan Zhao, Christian S. Jensen
Efficient Stochastic Routing in Path-Centric Uncertain Road Networks - Extended Version. CoRR (2024)
Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen
A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. ICDE (2024)
Christian S. Jensen, Bin Yang, Chenjuan Guo, Jilin Hu, Kristian Torp
Routing with Massive Trajectory Data. ICDE (2024)
Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. CoRR (2024)
Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. Proc. VLDB Endow. 17 (9) (2024)
Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen
AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting. VLDB J. 33 (5) (2024)
Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. ICLR (2024)
Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. CoRR (2024)
Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. CoRR (2024)
David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version. CoRR (2024)
Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
Pathformer: Multi-scale transformers with Adaptive Pathways for Time Series Forecasting. CoRR (2024)
Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang
Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. CoRR (2024)
Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. CoRR (2024)
Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen
AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. Proc. ACM Manag. Data 1 (1) (2023)
Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
LightPath: Lightweight and Scalable Path Representation Learning. CoRR (2023)
David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version. CoRR (2023)
Haomin Yu, Jilin Hu, Xinyuan Zhou, Chenjuan Guo, Bin Yang, Qingyong Li
CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang
Multiple Time Series Forecasting with Dynamic Graph Modeling. Proc. VLDB Endow. 17 (4) (2023)
Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
LightPath: Lightweight and Scalable Path Representation Learning. KDD (2023)
Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction. CoRR (2023)
David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. Proc. ACM Manag. Data 1 (2) (2023)
Zhicheng Pan, Yihang Wang, Yingying Zhang, Sean Bin Yang, Yunyao Cheng, Peng Chen, Chenjuan Guo, Qingsong Wen, Xiduo Tian, Yunliang Dou, Zhiqiang Zhou, Chengcheng Yang, Aoying Zhou, Bin Yang
MagicScaler: Uncertainty-aware, Predictive Autoscaling. Proc. VLDB Endow. 16 (12) (2023)
Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen
Weakly Guided Adaptation for Robust Time Series Forecasting. Proc. VLDB Endow. 17 (4) (2023)
Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan
Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version. CoRR (2022)
Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Shuai Zhao, Yi Zhang, Huai Wang, Bin Yang
AutoPINN: When AutoML Meets Physics-Informed Neural Networks. CoRR (2022)
Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan
Towards Spatio- Temporal Aware Traffic Time Series Forecasting. ICDE (2022)
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
RetroGraph: Retrosynthetic Planning with Graph Search. KDD (2022)
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version. CoRR (2022)
Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis. CoRR (2022)
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. ICDE (2022)
Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng
A Pattern Discovery Approach to Multivariate Time Series Forecasting. CoRR (2022)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version. CoRR (2022)
Sean Bin Yang, Chenjuan Guo, Bin Yang
Context-Aware Path Ranking in Road Networks. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. IJCAI (2022)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. ICDE (2022)
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
RetroGraph: Retrosynthetic Planning with Graph Search. CoRR (2022)
Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. CoRR (2022)
Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, Christian S. Jensen
Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. ICDE (2022)
Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang
Weighted Mutual Learning with Diversity-Driven Model Compression. NeurIPS (2022)
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version. CoRR (2022)
Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen
Outlier Detection for Streaming Task Assignment in Crowdsourcing. WWW (2022)
Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen
AutoCTS: Automated Correlated Time Series Forecasting. Proc. VLDB Endow. 15 (4) (2021)
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
Unsupervised Path Representation Learning with Curriculum Negative Sampling. IJCAI (2021)
David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version. CoRR (2021)
Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan
EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. ICDE (2021)
David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. Proc. VLDB Endow. 15 (3) (2021)
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
Unsupervised Path Representation Learning with Curriculum Negative Sampling. CoRR (2021)
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting - Full version. CoRR (2021)
Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen
AutoCTS: Automated Correlated Time Series Forecasting - Extended Version. CoRR (2021)
Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Hui Xiong
Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks. ICDE (2020)
Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen, Lu Chen
Context-aware, preference-based vehicle routing. VLDB J. 29 (5) (2020)
Nicolaj Casanova Abildgaard, Casper Weiss Bang, Jonas Hansen, Tobias Lambek Jacobsen, Thomas Højriis Knudsen, Nichlas Ørts Lisby, Chenjuan Guo, Bin Yang
A Correlated Time Series Forecast System. MDM (2020)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. IJCAI (2019)
Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks. ICDE (2019)
Lu Chen, Yunjun Gao, Ziquan Fang, Xiaoye Miao, Christian S. Jensen, Chenjuan Guo
Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories. Proc. VLDB Endow. 12 (10) (2019)
Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang
Correlated Time Series Forecasting using Multi-Task Deep Neural Networks. CIKM (2018)
Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results. CoRR (2018)
Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Lu Chen
Recurrent Multi-Graph Neural Networks for Travel Cost Prediction. CoRR (2018)
Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen
Learning to Route with Sparse Trajectory Sets - Extended Version. CoRR (2018)
Bin Yang, Jian Dai, Chenjuan Guo, Christian S. Jensen, Jilin Hu
PACE: a PAth-CEntric paradigm for stochastic path finding. VLDB J. 27 (2) (2018)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen
Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. CIKM (2018)
Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen
Learning to Route with Sparse Trajectory Sets. ICDE (2018)
Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen
Risk-aware path selection with time-varying, uncertain travel costs: a time series approach. VLDB J. 27 (2) (2018)
Hua Lu, Chenjuan Guo, Bin Yang, Christian S. Jensen
Finding Frequently Visited Indoor POIs Using Symbolic Indoor Tracking Data. EDBT (2016)
Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen, Jilin Hu
Path Cost Distribution Estimation Using Trajectory Data. Proc. VLDB Endow. 10 (3) (2016)
Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen
Efficient and Accurate Path Cost Estimation Using Trajectory Data. CoRR (2015)
Jian Dai, Bin Yang, Chenjuan Guo, Zhiming Ding
Personalized route recommendation using big trajectory data. ICDE (2015)
Bin Yang, Chenjuan Guo, Yu Ma, Christian S. Jensen
Toward personalized, context-aware routing. VLDB J. 24 (2) (2015)
Chenjuan Guo, Bin Yang, Ove Andersen, Christian S. Jensen, Kristian Torp
EcoMark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption data. GeoInformatica 19 (3) (2015)
Chenjuan Guo, Bin Yang, Ove Andersen, Christian S. Jensen, Kristian Torp
EcoSky: Reducing vehicular environmental impact through eco-routing. ICDE (2015)
Chenjuan Guo, Christian S. Jensen, Bin Yang
Towards Total Traffic Awareness. SIGMOD Rec. 43 (3) (2014)
Bin Yang, Chenjuan Guo, Christian S. Jensen, Manohar Kaul, Shuo Shang
Stochastic skyline route planning under time-varying uncertainty. ICDE (2014)
Chenjuan Guo, Cornelia Hedeler, Norman W. Paton, Alvaro A. A. Fernandes
MatchBench: Benchmarking Schema Matching Algorithms for Schematic Correspondences. BNCOD (2013)
Chenjuan Guo, Cornelia Hedeler, Norman W. Paton, Alvaro A. A. Fernandes
EvoMatch: An Evolutionary Algorithm for Inferring Schematic Correspondences. Trans. Large Scale Data Knowl. Centered Syst. 12 (2013)
Bin Yang, Chenjuan Guo, Christian S. Jensen
Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models. Proc. VLDB Endow. 6 (9) (2013)
Chenjuan Guo, Yu Ma, Bin Yang, Christian S. Jensen, Manohar Kaul
EcoMark: evaluating models of vehicular environmental impact. SIGSPATIAL/GIS (2012)
Cornelia Hedeler, Khalid Belhajjame, Lu Mao, Chenjuan Guo, Ian Arundale, Bernadette Farias Lóscio, Norman W. Paton, Alvaro A. A. Fernandes, Suzanne M. Embury
DSToolkit: An Architecture for Flexible Dataspace Management. Trans. Large Scale Data Knowl. Centered Syst. 5 (2012)
Cornelia Hedeler, Khalid Belhajjame, Norman W. Paton, Alvaro A. A. Fernandes, Suzanne M. Embury, Lu Mao, Chenjuan Guo
Pay-as-you-go mapping selection in dataspaces. SIGMOD Conference (2011)
Cornelia Hedeler, Khalid Belhajjame, Lu Mao, Norman W. Paton, Alvaro A. A. Fernandes, Chenjuan Guo, Suzanne M. Embury
Flexible Dataspace Management Through Model Management. EDBT/ICDT Workshops (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chenjuan Guo