| PRIMAL: Pathfinding Via Reinforcement and Imitation Multi-Agent Learning - Lifelong M Damani, Z Luo, E Wenzel, G Sartoretti IEEE Robotics and Automation Letters 6 (2), 2666-2673, 2021 | 117 | 2021 |
| Flatland competition 2020: MAPF and MARL for efficient train coordination on a grid world F Laurent, M Schneider, C Scheller, J Watson, J Li, Z Chen, Y Zheng, ... NeurIPS 2020 Competition and Demonstration Track, 275-301, 2021 | 28 | 2021 |
| Machine learning for membrane design and discovery H Yin, M Xu, Z Luo, X Bi, J Li, S Zhang, X Wang Green Energy & Environment 9 (1), 54-70, 2024 | 21 | 2024 |
| Machine learning guided polyamide membrane with exceptional solute–solute selectivity and permeance H Deng, Z Luo, J Imbrogno, TM Swenson, Z Jiang, X Wang, S Zhang Environmental Science & Technology 57 (46), 17841-17850, 2022 | 12 | 2022 |
| Learning-based scheduling of industrial hybrid renewable energy systems PS Pravin, Z Luo, L Li, X Wang Computers & Chemical Engineering 159, 107665, 2022 | 12 | 2022 |
| Deep reinforcement learning based multiagent pathfinding L Zhiyao, G Sartoretti Technical Report, 2020 | 6 | 2020 |
| Intelligent synthesis of magnetic nanographenes via chemist-intuited atomic robotic probe J Su, J Li, N Guo, X Peng, J Yin, J Wang, P Lyu, Z Luo, K Mouthaan, J Wu, ... Nature Synthesis 3 (4), 466-476, 2024 | 1 | 2024 |
| Removing 65 Years of Approximation in Rotating Ring Disk Electrode Theory with Physics-Informed Neural Networks H Chen, B Smetana, V Novák, Y Zhang, SV Sokolov, E Kätelhön, ... The Journal of Physical Chemistry Letters 15, 6315-6324, 2024 | | 2024 |
| Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination Z Luo, Y Pan, P Watkinson, T Zhu arXiv preprint arXiv:2405.18556, 2024 | | 2024 |
| DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime Z Luo, M Zhu, F Liu, J Li, Y Pan, J Zhou, T Zhu arXiv preprint arXiv:2405.18610, 2024 | | 2024 |
| Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering H Liu, H Yin, Z Luo, X Wang arXiv preprint arXiv:2404.14467, 2024 | | 2024 |
| Compare SGLT2I versus non-SGLT2I users in type-2 diabetic mellitus patients on GLP-1 receptor agonist: A population-based and machine learning causal inference analysis Z Luo, OHI Chou, ZMW Ng, CT Chung, JSK Chan, R Chan, L Lu, T Zhu, ... medRxiv, 2023.11. 06.23298185, 2023 | | 2023 |
| Comparisons of new-onset peripheral arterial disease in Type 2 diabetes mellitus patients exposed to SGLT2I, DPP4I or GLP1a: a population-based cohort study OHI Chou, Z Luo, CT Chung, JSK Chan, H Li, I Lakhani, Q Zhang, T Liu, ... medRxiv, 2023.08. 21.23294389, 2023 | | 2023 |
| NurSpecialist: Duel-Agent Reinforcement Learning for Dynamic Hospitalised Intervention Regimes using Electronic Health Records Z Luo, P Watkinson, T Zhu | | 2022 |
| Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination Z Luo, Y Pan, P Watkinson, T Zhu Forty-first International Conference on Machine Learning, 0 | | |
Xiaonan Wang (王笑楠)Tsinghua University & National University of SingaporeVerified email at nus.edu.sg
