Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction. - Luke M. Guerdan; Peng Sun 014; Connor Rowland; Logan Harrison; Zhicheng Tang; Nickolas M. Wergeles; Yi Shang (ABCD-NP@MICCAI, 2019)

A Detection Confidence-Regulated Path Planning (DCRPP) Algorithm for Improved Small Object Counting in Aerial Images. - Miles Krusniak; Keaton Leppanen; Zhicheng Tang; Fan Gao; Yizhen Wang; Yi Shang (ICCE, 2020)

sUAS and Machine Learning Integration in Waterfowl Population Surveys. - Zhicheng Tang; Yang Zhang; Yizhen Wang; Yi Shang; Reid Viegut; Elisabeth Webb; Andrew Raedeke; Joel Sartwell (ICTAI, 2021)

Deep Learning Methods for Tree Detection and Classification. - Yang Zhang; Yizhen Wang; Zhicheng Tang; Zhenduo Zhai; Yi Shang; Reid Viegut (CogMI, 2022)

A New GNN-Based Object Detection Method for Multiple Small Objects in Aerial Images. - Zhicheng Tang; Yang Liu; Yi Shang (ICIS, 2023)

Multidomain Resource Allocation for Asynchronous Target Tracking in Heterogeneous Multiple Radar Networks With Nonideal Detection. - Chenguang Shi; Zhicheng Tang; Lintao Ding; Junkun Yan (IEEE Trans. Aerosp. Electron. Syst., 2024)

Deep Learning Models for Waterfowl Detection and Classification in Aerial Images. - Yang Zhang; Yuan Feng; Shiqi Wang 021; Zhicheng Tang; Zhenduo Zhai; Reid Viegut; Lisa Webb; Andrew Raedeke; Yi Shang (Inf., 2024)

RPKT: Learning What You Don't - Know Recursive Prerequisite Knowledge Tracing in Conversational AI Tutors for Personalized Learning. - Jinwen Tang; Qiming Guo; Zhicheng Tang (CoRR, 2025)