Research Interests
Data management and data analytics, in particular on spatio-temporal data and time series data;
Explainable machine learning; Automated machine learning (AutoML); Learning with small data.
Publications
Full list: DBLP,
Google Scholar.
Recent Publications:
- Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng and Christian S. Jensen. Outlier Detection for Streaming Task Assignment in Crowdsourcing. WWW 2022, To appear.
- Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, and Christian S. Jensen. Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. ICDE 2022, To appear.
- Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, and Christian S. Jensen. AutoCTS: Automated Correlated Time Series Forecasting. PVLDB 2022, To appear.
- David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, and Christian S. Jensen. Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. Proc. VLDB Endow. 15(3): 611-623 (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: 1739-1750.
- Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang: Unsupervised Path Representation Learning with Curriculum Negative Sampling. IJCAI 2021: 3286-3292.
- Sean Bin Yang, Chenjuan Guo, Bin Yang: Context-Aware Path Ranking in Road Networks. TKDE 2021.
- Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen, and Lu Chen: Context-Aware, Preference-Based Vehicle Routing. VLDB J. 29(5): 1149-1170 (2020).
- Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen, and Hui Xiong: Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks, ICDE 2020:1417-1428.
- Lu Chen, Yunjun Gao, Ziquan Fang, Xiaoye Miao, Christian S. Jensen, Chenjuan Guo: Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories, PVLDB 12(10): 1208-1220 (2019).
- Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen: Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. IJCAI 2019: 2725-2732.
- Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen: Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks. ICDE 2019: 1274-1285.
- Jilin Hu, Bin Yang, Chenjuan Guo, and Christian S. Jensen. Risk-aware path selection with time-varying, uncertain travel costs—a time series approach. VLDB J. 27(2): 179-200 (2018).
- Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen, and Jilin Hu. Pace: A path-centric paradigm for stochastic path finding. VLDB J. 27(2): 153-178 (2018).
- Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen: Learning to Route with Sparse Trajectory Sets. ICDE 2018: 1073-1084.
- Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen, and Jilin Hu. Path cost distribution estimation using trajectory data. PVLDB, 10(3):85–96, 2016.
Projects
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Explainable AI for Complex Microbial Community Interactions and Predictions, funded by Villum Fonden, PI, in collaboration with Prof. Per Halkjær Nielsen, 2021 - 2024. News!
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Time Series Analytics and Spatio-temporal Data Management, funded by Huawei, Co-PI, 2020 - 2022.
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Advance: A Data-Intensive Paradigm for Dynamic, Uncertain Networks, funded by Independent Research Fund Denmark, Co-PI, 2019 - 2023.
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Astra: AnalyticS of Time seRies in spAtial networks, funded by Independent Research Fund Denmark, Co-PI, 2018 - 2021.
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Collaboration with BlipTrack, funded by Forskerpuljen, PI, 2018.