Bo, Z., Hu, Y., Ma, J., Zhou, M., Yin, J., Kang, Y., Liu, Y., Wu, T., Xiang, D., & Chen, H. (2025). Reinforced Embodied Planning with Verifiable Reward for Real-World Robotic Manipulation. arXiv preprint arXiv:2509.25852.
BO, Zitong, et al. Designing Real-Time Neural Networks by Efficient Neural Architecture Search. In: International Conference on Intelligent Computing. Singapore: Springer Nature Singapore, 2024. p. 62-73.
BO, Zitong, et al. HFGCN: Hybrid Filter Graph Convolutional Network for Heterophilic Graphs. In: International Conference on Intelligent Computing. Singapore: Springer Nature Singapore, 2024. p. 439-450.
BO, Zitong, et al. Developing real-time scheduling policy by deep reinforcement learning. In: 2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 2021. p. 131-142.
Bo, Z., Hu, Y., Ma, J., Zhou, M., Yin, J., Kang, Y., Liu, Y., Wu, T., Xiang, D., & Chen, H. (2025). Reinforced Embodied Planning with Verifiable Reward for Real-World Robotic Manipulation. arXiv preprint arXiv:2509.25852.
BO, Zitong, et al. Designing Real-Time Neural Networks by Efficient Neural Architecture Search. In: International Conference on Intelligent Computing. Singapore: Springer Nature Singapore, 2024. p. 62-73.
BO, Zitong, et al. HFGCN: Hybrid Filter Graph Convolutional Network for Heterophilic Graphs. In: International Conference on Intelligent Computing. Singapore: Springer Nature Singapore, 2024. p. 439-450.
BO, Zitong, et al. Developing real-time scheduling policy by deep reinforcement learning. In: 2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 2021. p. 131-142.