Bin Yang 杨彬  中文页面 Professor, Department of Computer Science, Aalborg University Sapere Aude Research Leader, Independent Research Fund Denmark Distinguished Scholar, The Technical Faculty of IT and Design, Aalborg University Office 3.2.46 Selma Lagerlöfs Vej 300 DK-9220, Aalborg Øst, Denmark Email: byang at cs dot aau dot dk Phone: +45 9940 9976

Publications    Projects    Students    Awards    Scientific Service    Patents    Teaching    Miscellaneous

I am a professor in Department of Computer Science at Aalborg University. I am a faculty member in Center for Data-Intensive Systems. I am also affiliated with the department's team on Artificial Intelligence and Machine Learning and the university's center on AI for the People. I am an IEEE senior member.

I obtained my Ph.D. degree from Fudan University in 2010. During August 2010 to August 2011, I was at Max-Planck-Institut für Informatik, working in the Databases and Information Systems department headed by Gerhard Weikum. From September 2011 to July 2014, I was at Aarhus University, working in the Data-Intensive Systems group headed by Christian S. Jensen. I joined Aalborg University in August 2014.

Opening Positions:
Postdoc and PhD positions are available. Please send me your CV if you are interested.
留学基金委(CSC) 申请者请访问中文页面。

Research Interests

Data management and machine leanring, in particular, on spatio-temporal data, time series, graphs, and uncertain data.

The slides for my MDM 2019 Early Career Distinguished Lecture on Learning to Route are avaiable here.
An overview of my recent research on enabling eco-routing using big transportation data is available here.
A vision on extracting 3T (thorough, timely, and trustworthy) traffic knowledge from big transportation data to achieve total traffic awareness is available here.

Projects

• Time Series Analytics and Spatio-temporal Data Management, funded by Huawei, 2020 - 2022.
• Light-AI for Cognitive Power Electronics, funded by Villum Synergy Programme, 2020 - 2022.
• Advance: A Data-Intensive Paradigm for Dynamic, Uncertain Networks, funded by Independent Research Fund Denmark, 2019 - 2023.
• Algorithmic Foundations for Data-Intensive Routing, funded by The Danish Agency for Science and Higher Education, 2019 - 2021.
• Astra: AnalyticS of Time seRies in spAtial networks, funded by Independent Research Fund Denmark, 2018 - 2021.
• Distinguished Scholar, funded by The Technical Faculty of IT and Design, Aalborg University, 2018 - 2021.
• Research Collaborations with Industries in North Jutland, funded by Aalborg Kommune, 2018.
• aSTEP: aau's Spatio-TEmporal data analytics Platform, funded by Aalborg University, since 2016.

Publications     

     DBLP     Google Scholar     ORCID

Recent and Selected Publications

1. Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, and Chenjuan Guo. Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting.
   ICLR 2024.
2. Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, and Christian S. Jensen. A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data.
   ICDE 2024.
3. Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, and Christian S. Jensen. Weakly Guided Adaptation for Robust Time Series Forecasting.
   PVLDB 2024.
4. Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, and Bin Yang. Multiple Time Series Forecasting with Dynamic Graph Modeling.
   PVLDB 2024.
5. Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin, and Christain S. Jensen. Origin-Destination Travel Time Oracle for Map-based Services.
   SIGMOD 2024.
6. Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, and Christain S. Jensen. LightPath: Lightweight and Scalable Path Representation Learning.
   KDD 2023.
7. 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, and Bin Yang. MagicScaler: Uncertainty-aware, Predictive Autoscaling.
   PVLDB 2023.
8. David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen: LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation.
   SIGMOD 2023.
9. 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.
   SIGMOD 2023.
10. Haomin Yu, Jilin Hu, Xinyuan Zhou, Chenjuan Guo, Bin Yang, and Qingyong Li. CGF: A Category Guidance Based PM2.5 Sequence Forecasting Training Framework.
    IEEE TKDE 2023.
11. Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, and Shirui Pan. Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs.
    IEEE TKDE 2023.
12. Miao Zhang, Wei Huang, and Bin Yang. Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations.
    NeurIPS 2022.
13. Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, and Bin Yang. Weighted Mutual Learning with Diversity-Driven Model Compression.
    NeurIPS 2022.
14. Shufang Xie, Peng Han, Yingce Xia, Lijun Wu, Tao Qin, Chenjuan Guo, Bin Yang, and Rui Yan. RetroGraph: Retrosynthetic Planning with Graph Search.
    KDD 2022, 2120-2129.
15. Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, and Shirui Pan. Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting.
    IJCAI 2022, 1994-2001.
16. Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, and Shirui Pan. Towards Spatio-Temporal Aware Traffic Time Series Forecasting.
    ICDE 2022, 2900-2913.
17. Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, and Kai Zheng. Robust and Explainable Autoencoders for Time Series Outlier Detection.
    ICDE 2022, 3038-3050.
18. Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, and Christian S. Jensen. Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning.
    ICDE 2022, 2873-2885.
19. Xuanhao Chen, Yan Zhao, Kai Zheng, Bin Yang, and Christian S. Jensen. Influence-aware Task Assignment in Spatial Crowdsourcing.
    ICDE 2022, 2141-2153.
20. Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Reza Haffari, and Bin Yang. BaLeNAS: Differentiable Architecture Search via Bayesian Learning Rule.
    CVPR 2022, 11861-11870.
21. 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, 1933-1943.
22. Frederik Mathiesen, Bin Yang, and Jilin Hu. Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems.
    AAAI 2022, 4575-4582.
23. 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, 1342-1354.
24. Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, and Christian S. Jensen. AutoCTS: Automated Correlated Time Series Forecasting.
    PVLDB 15(4), 971-983 (2021).
25. 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.
    PVLDB 15(3), 611-623 (2021).
26. Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, and Bin Yang. Unsupervised Path Representation Learning with Curriculum Negative Sampling.
    IJCAI 2021, 3286-3292.
27. Yan Zhao, Kai Zheng, Jiannan Guo, Bin Yang, Torben Bach Pedersen, and Christian S. Jensen. Fairness-aware Task Assignment in Spatial Crowdsourcing: Game-Theoretic Approaches.
    ICDE 2021, 265-276.
28. Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, and Sinno Jialin Pan. EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting.
    ICDE 2021, 1739-1750.
29. Sean Bin Yang, Chenjuan Guo, and Bin Yang. Context-Aware Path Ranking in Road Networks.
    TKDE 2020.
30. Simon Aagaard Pedersen, Bin Yang, and Christian S. Jensen. Anytime Stochastic Routing with Hybrid Learning.
    PVLDB 13(9): 1555-1567 (2020).
31. Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen, and Lu Chen. Context-Aware, Preference-Based Vehicle Routing.
    The VLDB Journal 29(5): 1149-1170 (2020).
32. 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.
33. Simon Aagaard Pedersen, Bin Yang, and Christian S. Jensen. Fast Stochastic Routing under Time-Varying Uncertainty.
    The VLDB Journal 29(4): 819-839 (2020).
34. Tung Kieu, Bin Yang, Chenjuan Guo, and Christian S. Jensen. Outlier Detection for Time Series with Recurrent Autoencoder Ensembles.
    IJCAI 2019, 2725-2732. code
35. Jilin Hu, Chenjuan Guo, Bin Yang, and Christian S. Jensen. Stochastic Weight Completion for Road Networks using Graph Convolutional Networks.
    ICDE 2019, 1274-1285. code
36. Fan Xia, Bin Yang, Chengcheng Yu, Weining Qian, and Aoying Zhou. Towards Longitudinal Analytics on Social Media Data.
    ICDE 2019, 350-361.
37. Chenjuan Guo, Bin Yang, Jilin Hu, and Christian S. Jensen. Learning to Route with Sparse Trajectory Sets.
    ICDE 2018, 1073-1084.
38. Huiping Liu, Cheqing Jin, Bin Yang, and Aoying Zhou. Finding Top-k Optimal Sequenced Routes.
    ICDE 2018, 569-580.
39. Jilin Hu, Bin Yang, Chenjuan Guo, and Christian S. Jensen. Risk-Aware Path Selection with Time-Varying, Uncertain Travel Costs—A Time Series Approach.
    The VLDB Journal 27(2): 179-200 (2018).
40. Bin Yang, Jian Dai, Chenjuan Guo, Christian S. Jensen, and Jilin Hu. PACE: A PAth-CEntric Paradigm For Stochastic Path Finding.
    The VLDB Journal 27(2): 153-178 (2018).
41. Huiping Liu, Cheqing Jin, Bin Yang, and Aoying Zhou. Finding Top-k Shortest Paths with Diversity.
    TKDE 30(3), 488-502 (2018).
42. 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).
43. Bin Yang, Chenjuan Guo, Yu Ma, and Christian S. Jensen. Toward Personalized, Context-Aware Routing.
    The VLDB Journal 24(2):297-318 (2015).
44. Jian Dai, Bin Yang, Chenjuan Guo, and Zhiming Ding. Personalized Route Recommendation using Big Trajectory Data.
    ICDE 2015, 543-554, Seoul, Korea, April 2015.
45. Jinling Jiang, Hua Lu, Bin Yang, and Bin Cui. Finding Top-k Local Users in Geo-Tagged Social Media Data.
    ICDE 2015, 267-278, Seoul, Korea, April 2015.
46. Bin Yang, Chenjuan Guo, Christian S. Jensen, Manohar Kaul, and Shuo Shang. Stochastic Skyline Route Planning Under Time-Varying Uncertainty.
    ICDE 2014, 136-147, Chicago, Illinois, USA, March 2014. (Acceptance Rate: 89/446=20.0%)
47. Manohar Kaul, Raymond Chi-Wing Wong, Bin Yang, and Christian S. Jensen. Finding Shortest Paths on Terrains by Killing Two Birds with One Stone.
    PVLDB 7(1):73-84. VLDB 2014, Hangzhou, China, Septmber, 2014.
48. Bin Yang, Manohar Kaul, and Christian S. Jensen. Using Incomplete Information for Complete Weight Annotation of Road Networks.
    TKDE 26(5):1267-1279.
49. Bin Yang, Chenjuan Guo, and Christian S. Jensen. Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models.
    PVLDB 6(9):769-780. VLDB 2013, Riva del Garda, Trento, Italy, August 2013. (Acceptance Rate: 23%, out of 559 submissions)

Honors and Awards

• Distinguished Program Committee Member, 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019
• Early Career Distinguished Lecturer, 20th IEEE International Conference on Mobile Data Management (MDM), 2019.
• Sapere Aude Research Leader, Independent Research Fund Denmark, 2018.
• Distinguished Scholar, The Technical Faculty of IT and Design, Aalborg University, 2018.
• Best paper award, 2015 best paper in Pervasive and Embedded Computing, Shanghai Computer Academy, together with Aoying Zhou, Cheqing Jin, and Qiang Ma
  Location-based Services: Architecture and Progress (基于位置的服务： 架构与进展).
• Best paper award at MDM 2013, together with Manohar Kaul and Christian S. Jensen.
  Building Accurate 3D Spatial Networks to Enable Next Generation Intelligent Transportation Systems.
• Best demo award at MDM 2013, together with Ove Andersen, Christian S. Jensen and Kristian Torp.
  EcoTour: Reducing the Environmental Footprint of Vehicles Using Eco-Routes.

Students

Ph.D. Students

• David Gonzalo Chaves Campos, 8.2021 to Present, Co-supervision with Tung Kieu.
• Xinle Wu, 10.2020 to Present, Automated and Efficient Learning, Co-supervision with Dalin Zhang.
• Sean Bin Yang, 5.2019 to Present, Machine Learning for Spatio-temporal Data, Co-supervision with Jilin Hu.
• Razvan-Gabriel Cirstea, 10.2018 to 3.2022, Model Parameter Generation for Correlated Time Series Forecasting, Co-supervision with Chenjuan Guo.
• Simon Aagaard Pedersen, 9.2017 to 12.2021, Towards Efficient Stochastic Routing in Road Networks, Co-supervision with Christian S. Jensen.
• Tung Kieu, 2.2017 to 3.2021, Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering, Co-supervision with Christian S. Jensen.
• Jilin Hu, 10.2015 to 12.2018, Managing and Analyzing Big Traffic Data–An Uncertain Time Series Approach, Co-supervision with Christian S. Jensen.

Master Students and Vistors

Scientific Service

Conference Organizer

• Demo Chair, 34th International Conference on Scientific and Statistical Database Management (SSDBM 2022)
• Proceedings Co-Chair, 17th International Symposium on Spatial and Temporal Databases (SSTD 2021)
• Demo Co-Chair, 22nd IEEE International Conference on Mobile Data Management (MDM 2021)
• Local Arrangements Co-Chair, 47th International Conference on Very Large Data Bases (VLDB 2021)
• Registration Co-chair, 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2021)
• Local Executive Chair, EDBT/ICDT 2020 Joint Conference (EDBT/ICDT 2020)
• Publicity Co-Chair, 36th IEEE International Conference on Data Engineering (ICDE 2020)
• Poster Co-Chair, 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2019)
• PC Co-Chair, 19th IEEE International Conference on Mobile Data Management (MDM 2018)
• Publicity Co-Chair, 22nd International Conference on Database Systems for Advanced Applications (DASFAA 2017)
• Publicity Chair, 26th International Conference on Scientific and Statistical Database Management (SSDBM 2014)

Member of Program Committees for Conferences and Workshops

• International Conference on Very Large Data Bases (VLDB 2021)
• The AAAI Conference on Artificial Intelligence (AAAI 2022, AAAI 2021, AAAI 2020)
• International Joint Conference on Artificial Intelligence (IJCAI 2022, IJCAI 2021, IJCAI-PRICAI 2020, IJCAI 2019, IJCAI-ECAI 2018)
• IEEE International Conference on Data Engineering (ICDE 2022, ICDE 2021 (Demo Track), ICDE 2020, ICDE 2019, ICDE 2018, ICDE 2015, ICDE 2013, ICDE 2012)
• ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2021, SIGSPATIAL 2020, SIGSPATIAL 2019)
• ACM International Conference on Information and Knowledge Management (CIKM 2022 (Senior PC), CIKM 2021 (Senior PC), CIKM 2019)
• International Conference on Database Systems for Advanced Applications (DASFAA 2022 (Senior PC), DASFAA 2021 (Senior PC), DASFAA 2015, DASFAA 2014)
• More...

Reviewer for Journals

• The VLDB Journal
• IEEE Transactions on Knowledge and Data Engineering (TKDE)
• Journal of Machine Learning Research (JMLR)
• ACM Transactions on Database Systems (TODS)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• ACM Transactions on Spatial Algorithms and Systems (TSAS)
• More...

Patents

1. Chenjuan Guo, Bin Yang, and Ping Liang. A method of adding searchable notes in Web pages using Web browser plug-ins and script languages (网页加入可搜索的深标签及浏览器插件和脚本结合的方法). Patent NO: ZL 2006 1 0041811.1, Certificate NO: 431831, Approved in October 2008.

Teaching

• Advanced Topics of Machine Learning, PhD course, organizer, 2018, 2019, 2020, 2021, 2022.
• SW5/6 Semester Coordinator for student multiproject aSTEP: aau's Spatio-TEmporal data analytics Platform, 2016, 2017, 2018, 2019, 2020, 2021.
• Algorithms and Computability (AC), SW6, lecturer, 2021, 2022.
• Algorithms and Satisfiability (AS), DAT6, lecturer, 2021, 2022.
• Advanced Algorithms (AALG), DAT6/SW6/IT8, lecturer, 2016, 2017, 2018, 2019, 2020.
• Algorithms and Data Structures (AD1), DAT3/SW3, lecturer, 2017, 2018, 2019.
• Algorithms and Data Structures (AD2), INF5/BAIT3/IT7, lecturer, 2014, 2015, 2016.
• Specialization course in database technology (spDT), DAT9/SW9/IT9/DE9, Lecturer, 2016, 2017, 2019, 2020.
• Specialization course in machine intelligence (spMI), DAT9/SW9/IT9/DE9, Lecturer, 2020.
• BAIT6 Semester Coordinator, 2015, 2016.
• Developing Complex Software Systems, SW6, Project Supervisor, 2015, 2016, 2017, 2018, 2019.
• Intelligent or Massively Parallel Systems, DAT5, Project Supervisor, 2014, 2015, 2016, 2018.
• Programming and Problem-Solving, BAIT6, Project Supervisor, 2015, 2016.
• More...

Miscellaneous