Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Suhang Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 2 Finished
-
III: Medium: Collaborative Research: Towards Scalable and Interpretable Graph Neural Networks
Wang, S. (PI)
7/15/20 → 6/30/22
Project: Research project
-
III: Small: Collaborative Research: Effective Labeled Data Generation via Generative Adversarial Learning
Wang, S. (PI) & Lee, D. (CoPI)
10/1/19 → 9/30/23
Project: Research project
-
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector
Zhang, X., Lee, D. & Wang, S., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 196-213 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15139 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
ROPU: A robust online positive-unlabeled learning algorithm
Liang, X., Zhu, K., Xiao, A., Wen, Y., Zhang, K., Wang, S. & Jian, L., Jan 30 2025, In: Knowledge-Based Systems. 309, 112808.Research output: Contribution to journal › Article › peer-review
-
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Dai, E., Zhao, T., Zhu, H., Xu, J., Guo, Z., Liu, H., Tang, J. & Wang, S., Dec 2024, In: Machine Intelligence Research. 21, 6, p. 1011-1061 51 p.Research output: Contribution to journal › Review article › peer-review
Open Access3 Scopus citations -
Active Learning for Graphs with Noisy Structures
Chi, H., Qi, C., Wang, S. & Ma, Y., 2024, Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024. Shekhar, S., Papalexakis, V., Gao, J., Jiang, Z. & Riondato, M. (eds.). Society for Industrial and Applied Mathematics Publications, p. 262-270 9 p. (Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access1 Scopus citations -
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark
Qian, X., Guo, Z., Li, J., Mao, H., Li, B., Wang, S. & Ma, Y., Aug 24 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 5602-5612 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access1 Scopus citations