Yun Dong

Education

•  Ph.D., Human-Computer Interaction, Iowa State University

• Master of Design, Sustainable Environments, Iowa State University

• Master of Fine Art, Art, Southwest Jiaotong University

• Bachelor of Art, Industrial Design, Southwest Jiaotong University

Awards

• Superior Student Paper Award in ASEE Annual Conference                                                            2022

• Meritorious Student Paper Award in ASEE Annual Conference                                                       2021

• Graduate Student Innovation & Practice Project Grant (in China)                                                    2016

• Red Dot Award (concept design category)                                                                                          2015

• National Scholarship for Graduate Students (in China, the highest scholarship)                             2015

• Excellent Design Award at Competition of Design (in China)                                                          2014

Publications

1. "Deterministic Certification of Graph Neural Networks against Poisoning Attacks with Arbitrary Perturbations,"  Li, J., Pang, M., Dong, Y., Wang., B., IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)..

2. "Provably Robust Explainable Graph Neural Networks Against Graph Perturbation Attacks," Li, J., Pang, M., Dong, Y., Jia, J., Wang., B, International Conference on Learning Representations (ICLR)  (2025).

3. "Learning Robust and Privacy-Preserving Representations Via Information Theory," Zhang, B., Noorbakhsh, S.L., Dong, Y., Hong, Y., & Wang, B., AAAI Conference on Artificial Intelligence (AAAI)  (2025).

4.  "Graph Neural Network Explanations are Fragile," Li, J., Pang, M., Dong, Y., Jia, J., Wang., B., International Conference on Machine Learning (ICML) (2024).

5. "Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference Attacks," Arevalo, C. A., Noorbakhsh, S. L., Dong, Y., Hong, Y., & Wang, B., (2024) AAAI Conference on Artificial Intelligence (AAAI).

6. "Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks," Wang, B., Pang, M., & Dong, Y., IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023).

7. "Actions Recent Engineering Graduates Undertake to Integrate into the Workplace–A Case Study from the Aerospace Industry," Dong, Y.*, Ahn, B.*, & Akinci-Ceylan, S., .International Journal of Engineering Education, 39(2), 464-475.(*The two authors contributed equally to this work) (2023).

8. "Similarities and Differences Between the Actions of Newly-Hired Engineers and Engineering Managers During the Organizational Socialization Period," Dong, Y., Roy, S., & Reber, M., In 2022 ASEE Annual Conference & Exposition (2022, August).

9. "Identifying the Challenges Aerospace Engineers Face During the Transition from University to Industry," Reber, M., Dong, Y., Roy, S., & Ahn, B., In 2022 ASEE Annual Conference & Exposition. (Superior Student Paper Award in the Aerospace Division) (2022, August). 

10. "Classroom to Workplace: Knowledge and Skills Learned by Recently Hired Aerospace Engineers," Roy, S., Dong, Y., Baber, L., & Ahn, B., Journal of Aerospace Information Systems, 19(4), 317-329 (2022).

11. "Exploring Engineering Managers’ Perspectives on the Actions of Engineering Managers and Newly Hired Engineers During the New Engineers’ Socialization Period," Dong, Y., Ahn, B., & Tobey, U. J., Engineering Management Journal, 34(3), 343-356 (2022). 

12. "Identifying the Proactive Actions of Newly Hired Engineers During the Socialization Period," Dong, Y., Roy, S., Baber, L. D., & Ahn, B., In 2021 ASEE Annual Conference & Exposition. (Meritorious Student Paper Award in the Aerospace Division) (2021, July).

13. "Factors that Affect Retention and Satisfaction Among Newly Hired Aerospace Engineers," Davis, L., Ahn, B., Dong, Y., & Campbell, R. N., In 2020 ASEE Virtual Annual Conference & Exposition (2020, June).