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):
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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.
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Collaborations and top research areas from the last five years
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Projects
- 2 Finished
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III: Medium: Collaborative Research: Towards Scalable and Interpretable Graph Neural Networks
Wang, S. (PI)
7/15/20 → 6/30/22
Project: Research project
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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
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AmGNN: A Framework for Adaptive Processing of Inter-layer Information in Multi-layer Graph
Zhu, H., Wu, Z., Zhao, T. & Wang, S., 2025, Social Networks Analysis and Mining - 16th International Conference, ASONAM 2024, Proceedings. Aiello, L. M., Chakraborty, T. & Gaito, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 472-488 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15211 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks
Lin, M., Zhang, Z., Dai, E., Wu, Z., Wang, Y., Zhang, X. & Wang, S., Aug 3 2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1729-1740 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
A Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness
Wang, F., Lin, M., Ma, Y., Liu, H., He, Q., Tang, X., Tang, J., Pei, J. & Wang, S., Aug 3 2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 6173-6183 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
Wang, Y., Zhao, T., Wu, Z. & Wang, S., Mar 10 2025, WSDM 2025 - Proceedings of the 18th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 678-687 10 p. (WSDM 2025 - Proceedings of the 18th ACM International Conference on Web Search and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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CATASTROPHIC FAILURE OF LLM UNLEARNING VIA QUANTIZATION
Zhang, Z., Wang, F., Li, X., Wu, Z., Tang, X., Liu, H., He, Q., Yin, W. & Wang, S., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 54940-54963 24 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution