Feng Zeyu

1. Feng Z, Yin H, Ong YS, Soh H. Masked Skill Token Training for Hierarchical Off-Dynamics Transfer. In The Fourteenth International Conference on Learning Representations (ICLR), 2026.

2. Xiang K, Feng Z, Lin Z, Lyu Y, Shi B, Ong YS, Tsang I, Yin H. FlowSearcher: Synthesizing Memory-Guided Agentic Workflows for Web Information Seeking. In The Fourteenth International Conference on Learning Representations (ICLR), 2026.

3. Chi H, Feng Z, Yu X, Luo L, Ong YS, Tsang I, Chen H, Chang Y, Yin H. EvoCF: Multi-Agent Collaboration via Agentic Memory-Driven Evolutionary Counterfactual Planning. In The Forty-Third International Conference on Machine Learning (ICML), 2026.

4. Tang T, Lin Z, Feng Z, Ma T, Ong YS, Tsang I, Yin H. Causal Scaffolding for Physical Reasoning: A Benchmark for Causally-Informed Physical World Understanding in VLMs. In Proceedings of the 2026 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) Dataset and Benchmark Track, 2026.

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

6. Chi H, Feng Z, Lyu Y, Zheng C, Luo L, Ong YS, Tsang I, Chen H, Chang Y, Yin H. InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning. In The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

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

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

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

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

11. 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.

12. 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.