Hot-carrier-Induced Circuit Degradation for 0.18 µm CMOS Technology. - Wei Li; Qiang Li 039; J. S. Yuan; Joshua McConkey; Yuan Chen; Sundar Chetlur; Jonathan Zhou; A. S. Oates (ISQED, 2001)

A Machine Learning Approach to Prostate Cancer Risk Classification Through Use of RNA Sequencing Data. - Matthew Casey 002; Baldwin Chen; Jonathan Zhou; Nianjun Zhou (BigData, 2019)

Cross-Cancer Genome Analysis on Cancer Classification Using Both Unsupervised and Supervised Approaches. - Jonathan Zhou; Baldwin Chen; Nianjun Zhou (BigData, 2020)

Deep Learning Enabled Design of RF/mmWave IC and Antennas. - Emir Ali Karahan; Jonathan Zhou; Zheng Liu; Zijian Shao; Sebastian Fisher; Kaushik Sengupta (MWSCAS, 2024)

Adversarial Patrolling Using a Shepherding Approach. - Jonathan Zhou; Heba El-Fiqi; Aya Hussein (SMC, 2024)

Intelligent Integrated Circuits and Systems for 5G/6G Telecommunications. - Johannes Wynand Lambrechts; Saurabh Sinha; Kaushik Sengupta; Abadahigwa Bimana; Suvarna Kadam; Sheetal Bhandari; Jaco du Preez; Zijian Shao; Xiaolong Huang; Zheng Liu; Emir Ali Karahan; Tyler Blundo; et al. (IEEE Access, 2024)

GameLabel-10K: Collecting Image Preference Data Through Mobile Game Crowdsourcing. - Jonathan Zhou (CoRR, 2024)

AI-enabled RF-to-THz IC Design Space Discovery and Inverse Design Flow. - Kaushik Sengupta; Emir Ali Karahan; Jonathan Zhou; Zheng Liu (ISCAS, 2025)

25.3 AI-Enabled Design Space Discovery and End-to-End Synthesis for RFICs with Reinforcement Learning and Inverse Methods Demonstrating mm-Wave/sub-THz PAs Between 30 and 120GHz. - Jonathan Zhou; Emir Ali Karahan; Sherif Ghozzy; Zheng Liu; Hossein Jalili; Kaushik Sengupta (ISSCC, 2025)

AI Enabling Discovery and Design of Radio and High-Frequency Wireless Chips Beyond Human Intuition. - Kaushik Sengupta; Jonathan Zhou; Zheng Liu; Emir Ali Karahan (Computer, 2025)