I'm currently a Joint Ph.D student of The Hong Kong Polytechnic University and EIAS. My research interests mainly focus on deep reinforcement learning and robotics.
Publications
Hou, Jian, Fangyuan Wang, Lili Wang, and Zhiyong Chen. "Reinforcement learning based multi-agent resilient control: From deep neural networks to an adaptive law." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 9, pp. 7737-7745. 2021.
Wei, Jiawen, Fangyuan Wang, Wanxin Zeng, Wenwei Lin, and Ning Gui. "An Embedded Feature Selection Framework for Control." In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 1979-1988. 2022.
Wei, Jiawen, Zhifeng Qiu, Fangyuan Wang, Wenwei Lin, Ning Gui, and Weihua Gui. "Understanding via Exploration: Discovery of Interpretable Features With Deep Reinforcement Learning." IEEE Transactions on Neural Networks and Learning Systems (2022).
Hou, Jian, Fangyuan Wang, Chunling Wei, Hongyun Huang, Yong Hu, and Ning Gui. "Credibility assessment based Byzantine-resilient decentralized learning." IEEE Transactions on Dependable and Secure Computing (2022).
Preprint. Fangyuan Wang, Anqing Duan, Peng Zhou, Shengzeng Huo, Guodong Guo, Chenguang Yang, David Navarro-Alarcon. "Implicit Subgoal Planning with Variational Autoencoders for Long-Horizon Sparse Reward Robotic Tasks. Link