Feng Zeyu

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Research Area
  • Representation Learning
  • Reinforcement Learning
  • Planning
  • Neuro-Symbolic AI

  • Engineering and Information Technologies Research Scholarship, USYD, 2017

1. Feng Z, Luan H, Ma KY, Soh H. Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks. IEEE International Conference on Robotics and Automation (ICRA), 2025.

2. Feng Z, Luan H, Goyal P, Soh H. LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning. IEEE Robotics and Automation Letters, 2024.

3. Feng Z, Zhang B, Bi J, Soh H. Safety-Constrained Policy Transfer with Successor Features. IEEE International Conference on Robotics and Automation (ICRA), 2023.

4. Feng Z, Xu C, Tao D. Open-Set Hypothesis Transfer with Semantic Consistency. IEEE Transactions on Image Processing, Vol. 30, 2021.

5. Yang S, Feng Z, Du P, Du B, Xu C. Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries. IEEE International Conference on Data Mining (ICDM), 2021.

6. Feng Z, Xu C, Tao D. Self-Supervised Representation Learning from Multi-Domain Data. In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2019.

7. Feng Z, Xu C, Tao D. Self-Supervised Representation Learning by Rotation Feature Decoupling. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

  • Reviewer of AAAI (2021,2022), IJCAI (2025), NeurIPS (2020-2025), ICML (2021-2025), ICLR (2022-2025), ARR (2024), AISTATS (2024)