Sean Bin Yang

Assistant Professor (Tenured)
Department of Computer Science
Aalborg University

seany@cs.aau.dk
byang@ieee.org

Selma Lagerløfs Vej 300
9220 Aalborg East
Denmark

Publications

About

I am a Tenure-Track Assistant Professor in the Department of Computer Science at Aalborg University (AAU). I am also a faculty member in the Data Section and Data Engineering, Science and Systems research group, where I work closely with Prof. Christian S. Jensen and Prof. Kristian Torp. I work on the research, development, and innovation of Responsible AI for Data Science and AI for Science, with a broad range of applications. I am particularly interested in Responsible AI for data secience, with a focus on extracting meaningful representations from various data types, including unlabeled, noisy, spatio-temporal data, computer vision, and graph data.

Before joining AAU, I received my Ph.D. degree in the Department of Computer Science, Aalborg University, in 2022, under the supervision of Prof. Bin Yang and Prof. Jilin Hu. During my Ph.D studies, I was also fortunate to collaborate virtually with Prof. Jian Tang at the Mila–Quebec AI Institute. I also serve as Area Chair/SPC/PC for prestigious conferences and Journals, including VLDB, KDD, NeurIPS, ICLR, AAAI, IJCAI, CIKM, IJCNN, TKDE, Neurocomputing.

Recent News

Publications

| Data Mining, Aritificial Intelligence, LLM, SSL, Computer Vision, Graph, AI for Science, etc. (* indicates the corresponding author)

14. Sean Bin Yang, Hao Miao, Zongyi Xu, Hu Jilin, Xiangmeng Wang, Hua Lu, Bin Yang, Christian S. Jensen. DGCPath: Distribution-Aware Generative Contrastive Framework for Self-supervised Path Representation Learning. Appear in IJCAI 2026.
15. Zongyi Xu, Qiangzhu Li, Shanshan Zhao, Bo Yuan, Zhen Gao, Yu Jiang, Jixiao Liu, Bin Yang (Sean Bin Yang), Qianni Zhang, Weisheng Li and Xinbo Gao. A Survey on Active Learning in Visual Semantic Segmentation: Significance, Challenges, and Prospects. Accepted in CSUR 2026.
16. Yu Zhang, Sean Bin Yang, Arijit Khan, Cuneyt Gurcan Akcora. ATEX-CF: Attack-Informed Counterfactual Explanations for Graph Neural Networks. Appear in ICLR26.
17. Chenxu Han, Sean Bin Yang, Jilin Hu*. DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion. Appear in AAAI26.
18. Sean Bin Yang, Ying Sun, Yunyao Cheng, Yan Lin, Kristian Torp, Jilin Hu. Spatio-Temporal Trajectory Foundation Model: Recent Advances and Future Directions. Appear in CIKM25 (Tutorial).
19. Yongfu Wei, Yan Lin, Hongfan Gao, Ronghui Xu, Sean Bin Yang*, Jilin Hu*. Path-LLM: A Multi-modal Path Representation Learning by Aligning and Fusing with Large Language Models. In WWW'25, pp. 2289-2298, 2025.
20. Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu, Sean Bin Yang, Bin Yang*. MM-Path: Multi-modal, Multi-granularity Path Representation Learning. In KDD'25, pp. 1703-1714, 2025.
21. Ying Sun, Zhaolin Gu, Sean Bin Yang*. Probing vision and language models for construction waste material recognition. Automation in Construction,166: 105629, 2024.
22. 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. In PVLDB'23, pp. 3808–3821, 2023.
23. Sean Bin Yang, Jilin Hu*, Chenjuan Guo, Bin Yang, Christian S. Jensen. LightPath: lightweight and scalable path representation learning. In KDD'23, pp. 2999–3010, 2023.
24. Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen. Weakly-supervised temporal path representation learning with contrastive curriculum learning. In ICDE'22, pp. 2873–2885, 2022.
25. Sean Bin Yang, Chenjuan Guo, Bin Yang. Context-aware path ranking in road networks. IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(7), pp. 3153–3168, 2022.
26. Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang. Unsupervised path representation learning with curriculum negative sampling. In IJCAI'21, pp. 3286–3292, 2021.
27. Sean Bin Yang, Bin Yang. Learning to rank paths in spatial networks. In ICDE'20, pp. 2006–2009, 2020.

Students

| PhD Students

• Yu Zhang, PhD, 2025-04 to present, Adversarial Attack ang Explainability Graph Neural Network, Co-supervision with Arijit Khan.
• Ehsan Mobaraki, PhD, 2024-10 to 2026-01, Explainability Graph Neural Network, Co-supervision with Christian S. Jensen.

| Master Students

• Jonathan Myrtue Jensen, Kristian Krarup Sorensen, Andreas Gottschalk Krath, and Jonas Schoop Poulsen, Master, 2025-09 to present, Sensor Data Analysis, Co-supervision with Christian S. Jensen.
• William Woldum, Mikkel Klitlund Jensen, and Anders Andresen Toft, Master, 2025-09 to present, Vessel Trajectory Imputation, Co-supervision with Christian S. Jensen.
• Adam Rumi and Peter Lidegaard Skovrup, Master, 2025-09 to present, Vehicle Trajectory Outlier Detection, Co-supervision with Kristian Torp.

Service

• PC Member, The International Conference on Very Large Data Bases (VLDB 2027)
• PC Member, First Workshop on Foundation Models for Structured Data (FMSD @ ICML 2025)
• Area Chair, International Joint Conference on Neural Networks (IJCNN2025,2026)
• Shadow PC Member, The International Conference on Very Large Data Bases (VLDB 2026)
• PC Member, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026, 2025, 2023, 2022)
• PC Member, The International Conference on Learning Representations (ICLR 2025)
• PC Member, ACM International Conference on Information and Knowledge Management (CIKM 2025, 2024, 2023)
• PC Member, ACM International Conference on Information and Knowledge Management (CIKM 2025, 2024, 2023)
• Journal Reviewer, IEEE Transactions on Knowledge and Data Engineering, NeuroComputing, Neural Networks, IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems, Waste Management, Information Processing and Management, Results in Engineering.