I am Dr. Guanhua Wang who graduated from the University of Adelaide in July 2022 (with Dean’s Commendation for Doctoral Thesis Excellence). I focus on GAN, MLP, evolution algorithm, game theory...
Wang, Guanhua, Runqi Guo, Yuko Sakurai, Ali Babar, and Mingyu Guo. "Mechanism Design for Public Projects via Neural Networks." AAMAS-2021 (Core A*)
Guanhua Wang, Mingyu Guo. "Public Project with Minimum Expected Release Delay." The 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI) 2021 (Core B)
Guanhua Wang, Wuli Zuo, Mingyu Guo. "Redistribution in Public Project Problems via Neural Networks." The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2021 (Core B)
Mingyu Guo, Guanhua Wang, Hideaki Hata, M. Ali Babar. " Revenue-Maximizing Markets for Zero-Day Exploits." In Autonomous Agents and Multi-Agent Systems 35, 36, 2021. (Core A)
Le, Ba-Dung, Guanhua Wang, Mehwish Nasim, and Muhammad Ali Babar. "Gathering cyber threat intelligence from Twitter using novelty classification." In 2019 International Conference on Cyberworlds (CW), pp. 316-323. IEEE, 2019 (Core B)
Yan, P., Wang, G., Che, A. and Li, Y., . Hybrid discrete differential evolution algorithm for biobjective cyclic hoist scheduling with reentrance. Computers & Operations Research, 76, pp.155-166.