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 Dinghao Wu 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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Workshop on Forming an Ecosystem around Software Transformation
Wu, D. (PI)
9/30/18 → …
Project: Research project
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A New Direction for Software Reverse Engineering and Binary Code Retrofitting
Wu, D. (PI)
8/10/17 → …
Project: Research project
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Reverse Engineering Based Software Diversification for Cyber Fault Tolerance
Wu, D. (PI)
9/1/16 → …
Project: Research project
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SaTC: CORE: Small: Automatic Software Patching against Microarchitectual Attacks
Zhang, D. (PI), Kandemir, M. (CoPI), Tan, G. (CoPI) & Wu, D. (CoPI)
7/1/20 → 6/30/23
Project: Research project
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DEEPTYPE: Refining Indirect Call Targets with Strong Multi-layer Type Analysis
Xia, T., Hu, H. & Wu, D., 2024, Proceedings of the 33rd USENIX Security Symposium. USENIX Association, p. 5877-5894 18 p. (Proceedings of the 33rd USENIX Security Symposium).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
DOS-GNN: Dual-Feature Aggregations with Over-Sampling for Class-Imbalanced Fraud Detection on Graphs
Jing, S., Chen, L., Li, Q. & Wu, D., 2024, 2024 International Joint Conference on Neural Networks, IJCNN 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the International Joint Conference on Neural Networks).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Enhancing Malware Classification via Self-Similarity Techniques
Zhong, F., Hu, Q., Jiang, Y., Huang, J., Zhang, C. & Wu, D., 2024, In: IEEE Transactions on Information Forensics and Security. 19, p. 7232-7244 13 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Graph Adversarial Diffusion Convolution
Liu, S., Chen, J., Fu, T., Lin, L., Zitnik, M. & Wu, D., 2024, In: Proceedings of Machine Learning Research. 235, p. 30789-30806 18 p.Research output: Contribution to journal › Conference article › peer-review
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H2GNN: Graph Neural Networks with Homophilic and Heterophilic Feature Aggregations
Jing, S., Chen, L., Li, Q. & Wu, D., 2024, Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Proceedings. Onizuka, M., Lee, J.-G., Tong, Y., Xiao, C., Ishikawa, Y., Lu, K., Amer-Yahia, S. & Jagadish, H. V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 342-352 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14855 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations