AI-aided general clinical diagnoses verified by third-parties with dynamic uncertain causality graph extended to also include classification. - Zhan Zhang 005; Yang Jiao; Mingxia Zhang; Bing Wei; Xiao Liu; Juan Zhao; Fengwei Tian; Jie Hu; Qin Zhang 007 (Artif. Intell. Rev., 2022)

Inference Privacy: Properties and Mechanisms. - Fengwei Tian; Ravi Tandon (IEEECONF, 2024)

Methodology and real-world applications of dynamic uncertain causality graph for clinical diagnosis with explainability and invariance. - Zhang Zhang 002; Qin Zhang 007; Yang Jiao; Lin Lu; Lin Ma; Aihua Liu; Xiao Liu; Juan Zhao; Yajun Xue; Bing Wei; Mingxia Zhang; Ru Gao; et al. (Artif. Intell. Rev., 2024)

Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification. - Payel Bhattacharjee; Fengwei Tian; Ravi Tandon; Joseph Y. Lo; Heidi A. Hanson; Geoffrey Rubin; Nirav Merchant; John Gounley (CoRR, 2025)

A Framework for Multi-source Privacy Preserving Epidemic Analysis. - Zihan Guan 001; Zhiyuan Zhao 002; Fengwei Tian; Dung Nguyen 002; Payel Bhattacharjee; Ravi Tandon; B. Aditya Prakash; Anil Vullikanti (CoRR, 2025)

PROPS: Progressively Private Self-alignment of Large Language Models. - Noel Teku; Fengwei Tian; Payel Bhattacharjee; Souradip Chakraborty; Amrit Singh Bedi; Ravi Tandon (CoRR, 2025)