Zhicheng Tang

According to our database, Zhicheng Tang authored at least 10 papers between 2019 and 2026.

Collaborative distances:

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

2026

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation.

Xiao Lin, Zhicheng Tang, Weilin Cong, Mengyue Hang, Kai Wang, Yajuan Wang, Zhichen Zeng, Ting-Wei Li, Hyunsik Yoo, Zhining Liu, Xuying Ning, Ruizhong Qiu, Wen-Yen Chen, Shuo Chang, Rong Jin, Huayu Li, Hanghang Tong

Proceedings of the ACM Web Conference 2026, 2026

2025

A Data-Driven RetinaNet Model for Small Object Detection in Aerial Images.

Zhicheng Tang, Jinwen Tang, Yi Shang

CoRR, September, 2025

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, August, 2025

2024

Deep Learning Models for Waterfowl Detection and Classification in Aerial Images.

Yang Zhang, Yuan Feng, Shiqi Wang, Zhicheng Tang, Zhenduo Zhai, Reid Viegut, Lisa Webb, Andrew Raedeke, Yi Shang

Inf., March, 2024

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

2023

A New GNN-Based Object Detection Method for Multiple Small Objects in Aerial Images.

Zhicheng Tang, Yang Liu, Yi Shang

Proceedings of the 23rd IEEE/ACIS International Conference on Computer and Information Science, 2023

2022

Deep Learning Methods for Tree Detection and Classification.

Yang Zhang, Yizhen Wang, Zhicheng Tang, Zhenduo Zhai, Yi Shang, Reid Viegut

Proceedings of the 4th IEEE International Conference on Cognitive Machine Intelligence, 2022

2021

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

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

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

Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020

2019

Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction.

Luke M. Guerdan, Peng Sun, Connor Rowland, Logan Harrison, Zhicheng Tang, Nickolas M. Wergeles, Yi Shang

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019