Sean Bin Yang | 杨斌 Ph.D Fellow Center for Data Intensive Systems Computer Science Department Aalborg University Selma Lagerløfs Vej 300, 3-2-36, 9220, Aalborg byang[dot]gm [at] gmail [dot] com

Biography

Sean Bin Yang a Ph.D fellow at Center for Data-Intensive System in Department of Computer Science, Aalborg University. Currently, I conduct my graduate research under the supervision of Prof. Bin Yang and Prof. Jilin Hu.

Research Interests

My research interests lie in Representation Learning, Curriculum Learning, Spatial-temporal data mining, and Machine learning theory and application, with a particular emphasis on.

• Theoretical Level: Analysis of the generalization ability of self-supervised learning algorithms; Theoretical understandings of various self-supervised learning; Development of effective self-supervised learning algorithm for path reprsentation.

• Algorithmic Level: Development of effective learning algorithms for path representation: task-specific path rerpesentation learning, task-free path representation learning, curriculum learning, etc.

• Appliction Level: Application of un/self supervised learning and Curriculum Learning algorithms in spatil-temporal data representation learning.

Selected Publications

[Full List] [Google Scholar] [DBLP] [Conference Deadlines]
* Corresponding Author

1. [ICDE22] Sean Bin Yang, Chenjuan Guo, Jilin Hu*, Bin Yang, Jian Tang, and Christian S. Jensen, ‘‘Temporal Path Representation Learning with Weakly-supervised Contrastive Curriculum Learning’’, In roceedings of the 38th IEEE International Conference on Data Engineering, to appear, 2022.

2. [IJCAI21] Sean Bin Yang, Chenjuan Guo, Jilin Hu*, Jian Tang, Bin Yang, ‘‘Unsupervised Path Representation Learning with Curriculum Negative Sampling’’, In Proceedings of the 30th International Joint Conference on Artificial Intelligence, pp.3286-3292, 2021. (AR: 587/4204 = 13.9%) [pdf]

3. [TKDE20] Sean Bin Yang, Chenjuan Guo*, Bin Yang, ‘‘Context-Aware Path Ranking in Road Networks’’, IEEE Transactions on Knowledge and Data Engineering(early access), 2020. (CCF A) [pdf]

4. [ICDE20] Sean Bin Yang, Bin Yang, ‘‘Learning to rank paths in spatial networks’’, In roceedings of the 36th IEEE International Conference on Data Engineering, pp.2006-2009, 2020. [pdf]

5. [JPC18] Bin Yang, Mingjie Liu, Hakil Kim, Xuenan Cui*, ‘‘Luenberger-sliding mode observer based fuzzy double loop integral sliding mode controller for electronic throttle valve’’, Journal of Process Control, pp.36-46, 2018. [pdf]

6. [ITS15] Yongfu Li*, Bin Yang, Taixiong Zheng, Yingguo Li, Mingyue Cui, Srinivas Peeta, ‘‘Extended-State-Observer-Based Double-Loop Integral Sliding-Mode Control of Electronic Throttle Valve’’, IEEE Transactions on Intelligent Transportation Systems, pp.2501-2510, 2015. [pdf]

Professional Activities

• External Reviewer: SIGKDD22