Runze Mao

According to our database, Runze Mao authored at least 24 papers between 2020 and 2026.

Collaborative distances:

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

2026

Physics and Data Cooperative Modeling in Transportation Cyber-Physical System: Review and Perspectives.

Tongtong Wang, Runze Mao, Guoyuan Li, Jinhua She, Houxiang Zhang

IEEE Trans. Ind. Informatics, April, 2026

Full-Stack Domain Enhancement for Combustion LLMs: Construction and Optimization.

Quanjia Xiao, Weimin Ouyang, Zonglin Yang, Tianhao Wu, Qingguo Zhou, Runze Mao, Zhi X. Chen

CoRR, March, 2026

A unified foundational framework for knowledge injection and evaluation of Large Language Models in Combustion Science.

Zonglin Yang, Runze Mao, Tianhao Wu, Han Li, QingGuo Zhou, Zhi X. Chen

CoRR, March, 2026

Towards LLM-enabled autonomous combustion research: A literature-aware agent for self-corrective modeling workflows.

Ke Xiao, Haoze Zhang, Runze Mao, Han Li, Zhi X. Chen

CoRR, January, 2026

DFODE-Kit: Deep learning package for solving flame chemical kinetics with high-dimensional stiff ordinary differential equations.

Han Li, Ke Xiao, Yangchen Xu, Haoze Zhang, Zhenyi Chen, Runze Mao, Zhi X. Chen

Comput. Phys. Commun., 2026

2025

Benchmarking neural surrogates on realistic spatiotemporal multiphysics flows.

Runze Mao, Rui Zhang, Xuan Bai, Tianhao Wu, Teng Zhang, Zhenyi Chen, Minqi Lin, Bocheng Zeng, Yangchen Xu, Yingxuan Xiang, Haoze Zhang, Shubham Goswami, Pierre A. Dawe, Yifan Xu, Zhenhua An, Mengtao Yan, Xiaoyi Lu, Yi Wang, Rongbo Bai, Haobu Gao, Xiaohang Fang, Han Li, Hao Sun, Zhi X. Chen

CoRR, December, 2025

OmniInfer: System-Wide Acceleration Techniques for Optimizing LLM Serving Throughput and Latency.

Jun Wang, Yunxiang Yao, Wenwei Kuang, Runze Mao, Zhenhao Sun, Zhuang Tao, Ziyang Zhang, Dengyu Li, Jiajun Chen, Zhili Wang, Kai Cui, Congzhi Cai, Longwen Lan, Ken Zhang

CoRR, November, 2025

A Systematic Survey of Digital Twin Applications: Transferring Knowledge From Automotive and Aviation to Maritime Industry.

Runze Mao, Yuanjiang Li, Guoyuan Li, Hans Petter Hildre, Houxiang Zhang

IEEE Trans. Intell. Transp. Syst., April, 2025

Price-aware debiased learning model for recommendation.

Jiajin Wu, Bo Yang, Qianyang Zhu, Runze Mao, Qing Li

Neural Networks, 2025

Novel Matching Algorithm for Effective Drone Detection and Identification by Radio Feature Extraction.

Teng Wu, Yan Du, Runze Mao, Hui Xie, Shengjun Wei, Changzhen Hu

Inf., 2025

DeepFlame 2.0: A new version for fully GPU-native machine learning accelerated reacting flow simulations under low-Mach conditions.

Runze Mao, Xinyu Dong, Xuan Bai, Ziheng Wu, Guanlin Dang, Han Li, Zhi X. Chen

Comput. Phys. Commun., 2025

Deep Learning-Enabled Supercritical Flame Simulation at Detailed Chemistry and Real-Fluid Accuracy Towards Trillion-Cell Scale.

Zhuoqiang Guo, Runze Mao, Lijun Liu, Guangming Tan, Weile Jia, Zhi X. Chen

Proceedings of the International Conference for High Performance Computing, 2025

The Application of Eye-Tracking Technology in the Maritime Industry: A Brief Review.

Yutong Qian, Runze Mao, Yuanjiang Li, Guoyuan Li, Houxiang Zhang

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2025

A Dual-Exponential EKF Framework with Bayesian Optimization for Lithium-Ion Battery Remaining Useful Life Prediction.

Ning Yuan, Runze Mao, Peihua Han, Weiqian Xu, Yuanjiang Li, Houxiang Zhang

Proceedings of the 23rd IEEE International Conference on Industrial Informatics, 2025

2024

MGT: Multi-Granularity Transformer leveraging multi-level relation for sequential recommendation.

Yihu Zhang, Bo Yang, Runze Mao, Qing Li

Expert Syst. Appl., March, 2024

Popularity-aware sequential recommendation with user desire.

Jiajin Wu, Bo Yang, Runze Mao, Qing Li

Expert Syst. Appl., March, 2024

Enhancing Low-Resource NLP by Consistency Training With Data and Model Perturbations.

Xiaobo Liang, Runze Mao, Lijun Wu, Juntao Li, Min Zhang, Qing Li

IEEE ACM Trans. Audio Speech Lang. Process., 2024

DACA: A domain adaptive fault diagnosis approach with class-aware based on cross-domain extreme imbalance data.

Yuanjiang Li, Ying Zhu, Yang Yu, Runze Mao, Linchang Ye, Yun Liu, Ruochen Liu, Tao Lang, Jinglin Zhang

Expert Syst. Appl., 2024

A Comprehensive Analysis of LNG-powered and Battery-powered Ships in Current Maritime Operations.

Runze Mao, Yuanjiang Li, Kai Liu, Jingfeng Liu, Xu Cheng, Houxiang Zhang

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2024

2023

<i>DeepFlame</i>: A deep learning empowered open-source platform for reacting flow simulations.

Runze Mao, Minqi Lin, Yan Zhang, Tianhan Zhang, Zhi-Qin John Xu, Zhi X. Chen

Comput. Phys. Commun., October, 2023

An integrated framework for accelerating reactive flow simulation using GPU and machine learning models.

Runze Mao, Yingrui Wang, Min Zhang, Han Li, Jiayang Xu, Xinyu Dong, Yan Zhang, Zhi X. Chen

CoRR, 2023

Digital Twin-Based Research in the Maritime Industry: A Brief Survey.

Runze Mao, Yuanjiang Li, Houxiang Zhang

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2021

A Survey of Eye Tracking in Automobile and Aviation Studies: Implications for Eye-Tracking Studies in Marine Operations.

Runze Mao, Guoyuan Li, Hans Petter Hildre, Houxiang Zhang

IEEE Trans. Hum. Mach. Syst., 2021

2020

Visual Attention Assessment for Expert-in-the-Loop Training in a Maritime Operation Simulator.

Guoyuan Li, Runze Mao, Hans Petter Hildre, Houxiang Zhang

IEEE Trans. Ind. Informatics, 2020