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 001; Zhe Chen 016; Yi Zheng; Shao-Hung Chan; Konstantin Makhnev; Oleg Svidchenko; Vladimir Egorov; Dmitry Ivanov; et al. (NeurIPS (Competition and Demos), 2020)

PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Lifelong. - Mehul Damani; Zhiyao Luo; Emerson Wenzel; Guillaume Sartoretti (CoRR, 2020)

PRIMAL$_2$: Pathfinding Via Reinforcement and Imitation Multi-Agent Learning - Lifelong. - Mehul Damani; Zhiyao Luo; Emerson Wenzel; Guillaume Sartoretti (IEEE Robotics Autom. Lett., 2021)

Learning-based scheduling of industrial hybrid renewable energy systems. - P. S. Pravin; Zhiyao Luo; Lanyu Li; Xiaonan Wang 002 (Comput. Chem. Eng., 2022)

Diffuse Map Guiding Unsupervised Generative Adversarial Network for SVBRDF Estimation. - Zhiyao Luo; Hongnan Chen (CoRR, 2022)

Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination. - Zhiyao Luo; Yangchen Pan; Peter J. Watkinson; Tingting Zhu 001 (ICML, 2024)

Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering. - Hongxuan Liu; Haoyu Yin; Zhiyao Luo; Xiaonan Wang 002 (CoRR, 2024)

Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination. - Zhiyao Luo; Yangchen Pan; Peter J. Watkinson; Tingting Zhu 001 (CoRR, 2024)

DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime. - Zhiyao Luo; Mingcheng Zhu 001; Fenglin Liu; Jiali Li; Yangchen Pan; Jiandong Zhou 003; Tingting Zhu 001 (CoRR, 2024)

MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive Reordering. - Yonglin Tian; Songlin Bai; Zhiyao Luo; Yutong Wang 001; Yisheng Lv; Fei-Yue Wang 001 (CoRR, 2024)

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; et al. (CoRR, 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., 2025)

Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction. - Mingcheng Zhu 001; Yu Liu; Zhiyao Luo; Tingting Zhu 001 (CoRR, 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 001; Jianqing Li 002; Xingyao Wang 001 (CoRR, 2025)

Are Large Language Models Dynamic Treatment Planners? An In Silico Study from a Prior Knowledge Injection Angle. - Zhiyao Luo; Tingting Zhu 001 (CoRR, 2025)