Zhiyao Luo

According to our database, Zhiyao Luo authored at least 25 papers between 2020 and 2026.

Collaborative distances:

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

2026

NGP-Net: A Lightweight Growth Prediction Network for Pulmonary Nodules.

Xinkai Tang, Zhiyao Luo, Feng Liu, Wencai Huang, Jia Ni Zou

IEEE Trans. Medical Imaging, May, 2026

From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction.

Mingcheng Zhu, Zhiyao Luo, Yu Liu, Tingting Zhu

CoRR, May, 2026

The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records.

Mingcheng Zhu, Yu Liu, Zhiyao Luo, Tingting Zhu

CoRR, March, 2026

OpenCOOD-Air: Prompting Heterogeneous Ground-Air Collaborative Perception with Spatial Conversion and Offset Prediction.

Xianke Wu, Songlin Bai, Chengxiang Li, Zhiyao Luo, Yulin Tian, Fenghua Zhu, Yisheng Lv, Yonglin Tian

CoRR, March, 2026

Cross-Linguistic Persona-Driven Data Synthesis for Robust Multimodal Cognitive Decline Detection.

Rui Feng, Zhiyao Luo, Liuyu Wu, Wei Wang, Yuting Song, Yong Liu, Kok Pin Ng, Jianqing Li, Xingyao Wang

CoRR, February, 2026

Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction.

Mingcheng Zhu, Yu Liu, Zhiyao Luo, Tingting Zhu

npj Digit. Medicine, 2026

MambaOcc: Visual state space models for BEV-based occupancy prediction with local adaptive reordering.

Yonglin Tian, Songlin Bai, Zhiyao Luo, Yutong Wang, Hui Zhang, Baoqing Guo, Yisheng Lv, Fei-Yue Wang

Expert Syst. Appl., 2026

2025

Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction.

Tianyi Chen, Mingcheng Zhu, Zhiyao Luo, Tingting Zhu

CoRR, October, 2025

Are Large Language Models Dynamic Treatment Planners? An In Silico Study from a Prior Knowledge Injection Angle.

Zhiyao Luo, Tingting Zhu

CoRR, August, 2025

CogBench: A Large Language Model Benchmark for Multilingual Speech-Based Cognitive Impairment Assessment.

Feng Rui, Zhiyao Luo, Wei Wang, Yuting Song, Yong Liu, Tingting Zhu, Jianqing Li, Xingyao Wang

CoRR, August, 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

VIRTUE: Visual Interference from Roadside Billboard Targets on Urban End-to-End Autonomous Driving.

Zhiyao Luo, Yonglin Tian, Songlin Bai, Xianke Wu, Yu-Liang Liu, Yisheng Lv, Fei-Yue Wang

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions.

Zi Cai, Yu Liu, Zhiyao Luo, Tingting Zhu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

SegX: Improving Interpretability of Clinical Image Diagnosis with Segmentation-based Enhancement.

Yuhao Zhang, Mingcheng Zhu, Zhiyao Luo

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 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