Qisai Liu

According to our database, Qisai Liu authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Enhancing PPO With Trajectory-Aware Hybrid Policies.

Qisai Liu, Zhanhong Jiang, Hsin-Jung Yang, Mahsa Khosravi, Joshua Russell Waite, Soumik Sarkar

IEEE Trans. Neural Networks Learn. Syst., June, 2026

Lighting-aware Unified Model for Instance Segmentation.

Qisai Liu, Alloy Das, Zhanhong Jiang, Joshua R. Waite, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar

CoRR, May, 2026

TabQL: In-Context Q-Learning with Tabular Foundation Models.

Qisai Liu, Zhanhong Jiang, Timilehin Ayanlade, Ashutosh Kumar Nirala, Yang Li, Aditya Balu, Soumik Sarkar

CoRR, May, 2026

COOPO: Cyclic Offline-Online Policy Optimization Algorithm.

Qisai Liu, Zhanhong Jiang, Joshua Russell Waite, Aditya Balu, Cody H. Fleming, Soumik Sarkar

CoRR, May, 2026

Bidirectional linear recurrent models for sequence-level multisource fusion.

Qisai Liu, Zhanhong Jiang, Md. Zahid Hasan, Joshua R. Waite, Chao Liu, Aditya Balu, Soumik Sarkar

Inf. Fusion, 2026

Transformer model to determine spatio-temporal relationships of variables, and interpretability for soybean seed yield, oil, and protein prediction.

Timilehin Ayanlade, Liza Van der Laan, Qisai Liu, Tryambak Gangopadhyay, Johnathon Shook, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh Kumar Singh

Frontiers Artif. Intell., 2026

LexiSafe: Offline Safe Reinforcement Learning with Lexicographic Safety-Reward Hierarchy.

Hsin-Jung Yang, Zhanhong Jiang, Prajwal Koirala, Qisai Liu, Cody H. Fleming, Soumik Sarkar

Proceedings of the 17th ACM/IEEE International Conference on Cyber-Physical Systems, 2026

2025

Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion.

Qisai Liu, Zhanhong Jiang, Joshua R. Waite, Chao Liu, Aditya Balu, Soumik Sarkar

CoRR, April, 2025

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception.

Joshua R. Waite, Md. Zahid Hasan, Qisai Liu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar

Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems, 2025

2024

Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning.

Weisi Fan, Jesse Lane, Qisai Liu, Soumik Sarkar, Tichakorn Wongpiromsarn

CoRR, 2024

A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations.

Qisai Liu, Xian Yeow Lee, Soumik Sarkar

AI Open, 2024

2022

A Modular Vision Language Navigation and Manipulation Framework for Long Horizon Compositional Tasks in Indoor Environment.

Homagni Saha, Fateme Fotouhi, Qisai Liu, Soumik Sarkar

Frontiers Robotics AI, 2022

A Deep Learning Approach to Detect Lean Blowout in Combustion Systems.

Tryambak Gangopadhyay, Somnath De, Qisai Liu, Achintya Mukhopadhyay, Swarnendu Sen, Soumik Sarkar

CoRR, 2022

2021

A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment.

Homagni Saha, Fateme Fotouhif, Qisai Liu, Soumik Sarkar

CoRR, 2021