Convex optimization in Julia. - Madeleine Udell; Karanveer Mohan; David Zeng; Jenny Hong; Steven Diamond; Stephen P. Boyd (HPTCDL@SC, 2014)

Achieving a Fairer Future by Changing the Past. - Jiafan He; Ariel D. Procaccia; Alexandros Psomas 001; David Zeng (IJCAI, 2019)

Green Security Game with Community Engagement. - Taoan Huang; Weiran Shen; David Zeng; Tianyu Gu; Rohit Singh; Fei Fang 001 (AAMAS, 2020)

Fairness-Efficiency Tradeoffs in Dynamic Fair Division. - David Zeng; Alexandros Psomas 001 (EC, 2020)

A Systematic Review of Natural Language Processing for Knowledge Management in Healthcare. - Ganga Prasad Basyal; Bhaskar Prasad Rimal; David Zeng (CoRR, 2020)

Optimal Asset Transfer in IT Outsourcing Contracts. - Shivendu Shivendu; David Zeng; Vijay Gurbaxani (MIS Q., 2020)

Comparative study of CNN models for brain tumor classification: Computational efficiency versus accuracy. - Ganga Prasad Basyal; David Zeng; Dave Bishop; Bhaskar Prasad Rimal (AMCIS, 2021)

Applications of Deep Learning Augmented Systems for Covid-19 Predictions- A Literature Review. - Cherie Bakker Noteboom; David Zeng; Rajesh Godasu; Kruttika Sutrave (AMCIS, 2021)

Impact of Dataset Size and Transfer Learning on truncated Lightweight Architecture. - Rajesh Godasu; David Zeng; Kruttika Sutrave (AMCIS, 2024)

Introduction to the Minitrack on Machine Learning and AI: Cybersecurity and Threat Hunting. - Varol O. Kayhan; Shivendu Shivendu; Manish Agrawal; David Zeng (HICSS, 2024)

Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification. - Ganga Prasad Basyal; David Zeng; Bhaskar Prasad Rimal (CoRR, 2024)

Fair and Efficient Online Allocations. - Gerdus Benadè; Aleksandr M. Kazachkov; Ariel D. Procaccia; Christos-Alexandros Psomas; David Zeng (Oper. Res., 2024)

Access Control Policy Generation for IoT Using Deep Generative Models. - Kaushik Ragothaman; Yong Wang 045; David Zeng; Jun Liu; Bhaskar Prasad Rimal (CCNC, 2025)