Yang Zhang

Postdoctoral Research Associate
PhD, Computer Science and Engineering, University of Notre Dame; MS, Data Science, Indiana University-Bloomington; BE, Software Engineering, Wuhan University
Research focus
Honors and Awards
- Best Paper Award, ACM/IEEE ASONAM 2022
- Best Paper Honorable Mention, IEEE SMARTCOMP 2022
- Outstanding Graduate Research Assistant Award, University of Notre Dame
- Video Presentation Award, ACM/IEEE IWQoS 2020
- W. J. Cody Associates, Argonne National Laboratory
- IEEE Student Travel Award, IEEE BigData 2019
- IEEE Student Travel Award, IEEE BigData 2018
- Data Science Scholar Fellowship, Indiana University
- First Class Scholarship, Wuhan University
Publications & Papers
Y. Zhang, Z. Kou, L. Shang, H. Zhen, Z. Yue, and D. Wang. A Crowd-AI Duo Relational Graph Learning Framework Towards Social Impact Aware Photo Classification. Proceedings of Thirty-Seven AAAI Conference on Artificial Intelligence (AAAI), 2023, Washington, DC, 2023. [Acceptance Rate: 19.6%]
Y. Zhang, R. Zong, L. Shang, Z. Kou, and D. Wang. An Active One-Shot Learning Approach to Recognizing Land Usage from Class-wise Sparse Satellite Imagery in Smart Urban Sensing. Elsevier Knowledge- Based Systems (KBS). [Impact Factor: 8.038]
Y. Zhang, R. Zong, L. Shang, and D. Wang. On Coupling Classification and Super-Resolution in Remote Urban Sensing: An Integrated Deep Learning Approach: A Deep Duo-Task Learning Approach. IEEE Transactions on Geoscience and Remote Sensing (TGRS). [Impact Factor: 5.6]
Y. Zhang, R. Zong, L. Shang, Z. Kou, and D. Wang. CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment. In Proceedings of the ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). Virtual Conference, 2022
Y. Zhang, R. Zong, L. Shang, Z. Kou, H. Zeng, and D. Wang. CrowdOptim: A Crowd-driven Neural Network Hyperparameter Optimization Approach to AI-based Smart Urban Sensing. Proceedings of the ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). Virtual Conference, 2022
Y. Zhang, L Shang, R. Zong, Z. Wang, Z. Kou, and D. Wang. StreamCollab: A Streaming Crowd-AI Collaborative System to Smart Urban Infrastructure Monitoring in Social Sensing. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP), Virtual Conference, 2021. [Acceptance Rate: 26.0%]
Y. Zhang, R. Zong, Z. Kou, L. Shang, and D. Wang. On Streaming Disaster Damage Assessment in Social Sensing: A Crowd-driven Dynamic Neural Architecture Searching Approach. Elsevier Knowledge-Based Systems (KBS). [Impact Factor: 8.038]
Y. Zhang, R. Zong, Z. Kou, L. Shang, and D. Wang. CollabLearn: An Uncertainty-Aware Crowd-AI Collaboration System for Cultural Heritage Damage Assessment. IEEE Transactions on Computational Social Systems (TCSS). [Impact Factor: 5.357]