Analyzing the composition of cities using spatial clustering. - Zechun Cao; Sujing Wang; Germain Forestier; Anne Puissant; Christoph F. Eick (UrbComp@KDD, 2013)

Detecting Intruders and Preventing Hackers from Evasion by Tor Circuit Selection. - Zechun Cao; Shou-Hsuan Stephen Huang (TrustCom/BigDataSE, 2018)

Detecting Intruders by User File Access Patterns. - Shou-Hsuan Stephen Huang; Zechun Cao; Calvin E. Raines; Mai N. Yang; Camille Simon 002 (NSS, 2019)

Detecting Malicious Users Behind Circuit-Based Anonymity Networks. - Shou-Hsuan Stephen Huang; Zechun Cao (IEEE Access, 2020)

Multi-Scale Self-Supervised Consistency Training for Trustworthy Medical Imaging Classification. - Bonian Han; Cristian Moran; Jeong Yang; Young Lee 002; Zechun Cao; Gongbo Liang (EMBC, 2024)

Analyzing the Usability, Performance, and Cost-Efficiency of Deploying ML Models on BigQuery ML and Vertex AI in Google Cloud. - Hongyu Wang; Jeong Yang; Gongbo Liang; Young Lee 002; Zechun Cao (ICCBDC, 2024)

Detecting VPN Traffic in Real-Time with Active Probing. - Yuan Tian; Zechun Cao; Shou-Hsuan Stephen Huang (NCA, 2024)

Measuring and Improving the Efficiency of Python Code Generated by LLMs Using CoT Prompting and Fine-Tuning. - Ramya Jonnala; Jeong Yang; Young Lee 002; Gongbo Liang; Zechun Cao (IEEE Access, 2025)

Benchmarking Robustness of Contrastive Learning Models for Medical Image-Report Retrieval. - Demetrio Deanda; Yuktha Priya Masupalli; Jeong Yang; Young Lee 002; Zechun Cao; Gongbo Liang (CoRR, 2025)