
Ph.D. Student
- B.S., Mechanical Engineering, Iowa State University, 2020
Qisai is a Ph.D. student at Iowa State University. In Summer 2019, he completed two internships related to robotics and manufacturing. He enjoys working on machine learning and robotics problems.
Research interests: Machine learning, robotics
Publications with the lab (13)
- TabQL: In-Context Q-Learning with Tabular Foundation Models — arXiv (2026)
- COOPO: Cyclic Offline-Online Policy Optimization Algorithm — arXiv (2026)
- Lighting-aware Unified Model for Instance Segmentation — arXiv (2026)
Show all 13
- Bidirectional linear recurrent models for sequence-level multisource fusion — Information Fusion (2026)
- Enhancing PPO With Trajectory-Aware Hybrid Policies — IEEE Transactions on Neural Networks and Learning Systems (2026)
- LexiSafe: Offline Safe Reinforcement Learning with Lexicographic Safety-Reward Hierarchy — arXiv (2026)
- Transformer model to determine spatio-temporal relationships of variables, and interpretability for soybean seed yield, oil, and protein prediction — Frontiers in Artificial Intelligence (2026)
- RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception — Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical … (2025)
- A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations — AI Open (2024)
- An LSTM-based approach to detect transition to lean blowout in swirl-stabilized dump combustion systems — Energy and AI (2024)
- Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning — arXiv preprint arXiv:2412.02951 (2024)
- A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment — Frontiers in Robotics and AI (2022)
- A deep learning approach to detect lean blowout in combustion systems — arXiv preprint arXiv:2208.01871 (2022)
supersai (@) iastate.eduGoogle Scholar
