Geschlossene Optimierung symmetrischer Referenznetze mit nichthierarchischer Verkehrslenkung. - Harro L. Hartmann; Hucang He; Zhe Bai (MMB, 1993)

An algorithm for optimal load balancing in a multiple GI/G/1 queueing system. - Zhigang Zhang; Harro L. Hartmann; Hucang He; Zhe Bai (Eur. Trans. Telecommun., 1994)

Performance evaluation of IEEE 802.11p vehicle to infrastructure communication using off-the-shelf IEEE 802.11a hardware. - Yuhang Zhao; Hesheng Zhang; Wei Sun; Zhe Bai; Cheng Pan (ITSC, 2014)

Safety applications modeling methodology and performance optimization in road vehicle communication. - Zhe Bai; Hesheng Zhang; Wei Sun; Cheng Pan (Intelligent Vehicles Symposium, 2014)

Dynamic mode decomposition for compressive system identification. - Zhe Bai; Eurika Kaiser; Joshua L. Proctor; J. Nathan Kutz; Steven L. Brunton (CoRR, 2017)

Sketch Based Image Retrieval with Adversarial Network. - Zhe Bai; Hong Hou; Ni Kong (ICVIP, 2019)

Lightweight Neural Network for Sketch Recognition on Mobile Phones. - Ni Kong; Hong Hou; Zhe Bai; Xiaoqun Guo (SmartCity360°, 2019)

Randomized methods to characterize large-scale vortical flow network. - Zhe Bai; N. Benjamin Erichson; Muralikrishnan Gopalakrishnan Meena; Kunihiko Taira; Steven L. Brunton (CoRR, 2019)

LW-Sketch-Net on Mobile Phones. - Ni Kong; Hong Hou; Zhe Bai (EAI Endorsed Trans. Creative Technol., 2019)

Non-intrusive nonlinear model reduction via machine learning approximations to low-dimensional operators. - Zhe Bai; Liqian Peng (Adv. Model. Simul. Eng. Sci., 2021)

Downtime Distribution, Risk Volatility, and Optimal Backup VMs Allocation in Cloud Services. - Jin Li; Zhe Bai (ITQM, 2022)

Adaptable Deep Learning and Probabilistic Graphical Model System for Semantic Segmentation. - Matthew Avaylon; Robbie Sadre; Zhe Bai; Talita Perciano (Adv. Artif. Intell. Mach. Learn., 2022)

Enhancing Gradient Compression for Distributed Deep Learning. - Zhe Bai; Enda Yu; Dezun Dong; Pingjing Lu (APNet, 2024)

TinyCompNet: Minimal Computational Load for Mobile Devices. - Jiale Wang; Zhe Bai; Ximing Zhang; Yuehong Qiu (ICVISP, 2024)

FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural Networks. - Zhe Bai; Xishuo Wei; William Tang 002; Leonid Oliker; Zhihong Lin; Samuel Williams 001 (CoRR, 2024)

AutoCT: Automated CT registration, segmentation, and quantification. - Zhe Bai; Abdelilah Essiari; Talita Perciano; Kristofer E. Bouchard (SoftwareX, 2024)

Using radial basis function for estimating the high-performance concrete compressive strength with optimizing AVOA and SSA. - Yongcun Zhang; Zhe Bai (J. Intell. Fuzzy Syst., 2024)

A Lightweight Remote Sensing Aircraft Object Detection Network Based on Improved YOLOv5n. - Jiale Wang; Zhe Bai; Ximing Zhang; Yuehong Qiu (Remote. Sens., 2024)

Prediction of the fracture energy properties of concrete using COOA-RBF neural network. - Yongcun Zhang; Zhe Bai (Int. J. Crit. Infrastructures, 2025)

Fuzzy serial-parallel stochastic configuration networks based on nonconvex dynamic membership function optimization. - Jinghui Qiao; Jiayu Qiao; Peng Gao; Zhe Bai; Ningkang Xiong (Inf. Sci., 2025)

Transfer learning nonlinear plasma dynamic transitions in low dimensional embeddings via deep neural networks. - Zhe Bai; Xishuo Wei; William Tang 002; Leonid Oliker; Zhihong Lin; Samuel Williams 001 (Mach. Learn. Sci. Technol., 2025)

Spatio-temporal Fourier Transformer (StFT) for Long-term Dynamics Prediction. - Da Long; Shandian Zhe; Samuel Williams 001; Leonid Oliker; Zhe Bai (CoRR, 2025)