Zhiyao Luo

According to our database, Zhiyao Luo authored at least 13 papers between 2020 and 2025.

Collaborative distances:

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

2025

Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction.

Mingcheng Zhu, Yu Liu, Zhiyao Luo, Tingting Zhu

CoRR, July, 2025

Efficient Multivariate Time Series Anomaly Detection through Transfer Learning for Large-Scale Software Systems.

Yongqian Sun, Minghan Liang, Shenglin Zhang, Zeyu Che, Zhiyao Luo, Dongwen Li, Yuzhi Zhang, Dan Pei, Lemeng Pan, Liping Hou

ACM Trans. Softw. Eng. Methodol., May, 2025

AutoMat: Enabling Automated Crystal Structure Reconstruction from Microscopy via Agentic Tool Use.

Yaotian Yang, Yiwen Tang, Yizhe Chen, Xiao Chen, Jiangjie Qiu, Hao Xiong, Haoyu Yin, Zhiyao Luo, Yifei Zhang, Sijia Tao, Wentao Li, Qinghua Zhang, Yuqiang Li, Wanli Ouyang, Bin Zhao, Xiaonan Wang, Fei Wei

CoRR, May, 2025

2024

MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive Reordering.

Yonglin Tian, Songlin Bai, Zhiyao Luo, Yutong Wang, Yisheng Lv, Fei-Yue Wang

CoRR, 2024

DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime.

Zhiyao Luo, Mingcheng Zhu, Fenglin Liu, Jiali Li, Yangchen Pan, Jiandong Zhou, Tingting Zhu

CoRR, 2024

Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination.

Zhiyao Luo, Yangchen Pan, Peter J. Watkinson, Tingting Zhu

CoRR, 2024

Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering.

Hongxuan Liu, Haoyu Yin, Zhiyao Luo, Xiaonan Wang

CoRR, 2024

Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination.

Zhiyao Luo, Yangchen Pan, Peter J. Watkinson, Tingting Zhu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

Diffuse Map Guiding Unsupervised Generative Adversarial Network for SVBRDF Estimation.

Zhiyao Luo, Hongnan Chen

CoRR, 2022

Learning-based scheduling of industrial hybrid renewable energy systems.

P. S. Pravin, Zhiyao Luo, Lanyu Li, Xiaonan Wang

Comput. Chem. Eng., 2022

2021

PRIMAL$_2$: Pathfinding Via Reinforcement and Imitation Multi-Agent Learning - Lifelong.

Mehul Damani, Zhiyao Luo, Emerson Wenzel, Guillaume Sartoretti

IEEE Robotics Autom. Lett., 2021

2020

PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Lifelong.

Mehul Damani, Zhiyao Luo, Emerson Wenzel, Guillaume Sartoretti

CoRR, 2020

Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World.

Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020