Deep Learning Based Radio-Signal Identification With Hardware Design. - Gihan Janith Mendis; Jin Wei-Kocsis; Arjuna Madanayake (IEEE Trans. Aerosp. Electron. Syst., 2019)

RF-Rate Hybrid CNN Accelerator Based on Analog-CMOS and Xilinx RFSoC. - Udara De Silva; Soumyajit Mandal; Arjuna Madanayake; Jin Wei-Kocsis; Leonid Belostotski (ISCAS, 2020)

A 1.0-8.3 GHz Cochlea-Based Real-Time Spectrum Analyzer With Δ-Σ-Modulated Digital Outputs. - Yingying Wang 007; Gihan J. Mendis; Jin Wei-Kocsis; Arjuna Madanayake; Soumyajit Mandal (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework. - Yifan Guo 001; Lixing Yu; Qianlong Wang; Tianxi Ji; Yuguang Fang; Jin Wei-Kocsis; Pan Li 001 (MobiHoc, 2021)

FLTRL: A Fuzzy-Logic Transfer Learning Powered Reinforcement Learning Method for Intelligent Online Control in Power Systems. - Moein Sabounchi; Jin Wei-Kocsis (NAFIPS, 2021)

A Novel Data Encryption Method Inspired by Adversarial Attacks. - Praveen Fernando; Jin Wei-Kocsis (CoRR, 2021)

Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm. - Jin Wei-Kocsis; Moein Sabounchi; Baijian Yang 001; Tonglin Zhang (FIE, 2022)

Deep Learning in Audio Classification. - Yaqin Mia Wang; Jin Wei-Kocsis; John A. Springer; Eric T. Matson (ICIST, 2022)

A Practical Adversarial Attack on Contingency Detection of Smart Energy Systems. - Moein Sabounchi; Jin Wei-Kocsis (ISGT, 2022)

Using machine learning to predict engineering technology students' success with computer-aided design. - Jasmine Singh; Viranga Perera; Alejandra J. Magana; Brittany Newell; Jin Wei-Kocsis; Ying Ying Seah; Greg J. Strimel; Charles Xie (Comput. Appl. Eng. Educ., 2022)

Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud. - Hong Zhao; Huyunting Huang; Tonglin Zhang; Baijian Yang 001; Jin Wei-Kocsis; Songlin Fei (IEEE Big Data, 2024)

QoE-Aware Airborne Communication Infrastructure for Surveillance in Wildfires. - Praveen Fernando; Jin Wei-Kocsis (ICNC, 2024)

Exploring a Physics-Informed Decision Transformer for Distribution System Restoration: Methodology and Performance Analysis. - Hong Zhao; Jin Wei-Kocsis; Adel Heidari Akhijahani; Karen L. Butler-Purry (CoRR, 2024)

Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm. - Jin Wei-Kocsis; Moein Sabounchi; Gihan J. Mendis; Praveen Fernando; Baijian Yang 001; Tonglin Zhang (IEEE Trans. Educ., 2024)

Advancing Personalized Learning Analysis via an Innovative Domain Knowledge Informed Attention-based Knowledge Tracing Method. - Shubham Kose; Jin Wei-Kocsis (CoRR, 2025)

Think, Reflect, Create: Metacognitive Learning for Zero-Shot Robotic Planning with LLMs. - Wenjie Lin; Jin Wei-Kocsis (CoRR, 2025)