Fengwei Tian

13 papers Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification.
IEEE Access
Payel Bhattacharjee, Fengwei Tian, Geoffrey D. Rubin, Joseph Y. Lo, Nirav C. Merchant, Heidi A. Hanson, John Gounley, Ravi Tandon
2026 — conf
STAMP: Selective Task-Aware Mechanism for Text Privacy.
EACL (Volume 1: Long Papers)
Fengwei Tian, Payel Bhattacharjee, Heidi A. Hanson, Geoffrey D. Rubin, Joseph Y. Lo, Ravi Tandon
2026 J jnl
STAMP: Selective Task-Aware Mechanism for Text Privacy.
CoRR
Fengwei Tian, Payel Bhattacharjee, Heidi A. Hanson, Geoffrey D. Rubin, Joseph Y. Lo, Ravi Tandon
2025 J jnl
A Framework for Multi-source Privacy Preserving Epidemic Analysis.
CoRR
Zihan Guan, Zhiyuan Zhao, Fengwei Tian, Dung Nguyen, Payel Bhattacharjee, Ravi Tandon, B. Aditya Prakash, Anil Vullikanti
2025 J jnl
Conformal Sparsification for Bandwidth-Efficient Edge-Cloud Speculative Decoding.
CoRR
Payel Bhattacharjee, Fengwei Tian, Meiyu Zhong, Guangyi Zhang, Osvaldo Simeone, Ravi Tandon
2025 J jnl
Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification.
CoRR
Payel Bhattacharjee, Fengwei Tian, Ravi Tandon, Joseph Y. Lo, Heidi A. Hanson, Geoffrey D. Rubin, Nirav C. Merchant, John Gounley
2025 J jnl
PROPS: Progressively Private Self-alignment of Large Language Models.
CoRR
Noel Teku, Fengwei Tian, Payel Bhattacharjee, Souradip Chakraborty, Amrit Singh Bedi, Ravi Tandon
2025 J jnl
PROPS: Progressively Private Self-alignment of Large Language Models.
Trans. Mach. Learn. Res.
Noel Teku, Fengwei Tian, Payel Bhattacharjee, Souradip Chakraborty, Amrit Singh Bedi, Ravi Tandon
2024 — conf
Inference Privacy: Properties and Mechanisms.
IEEECONF
Fengwei Tian, Ravi Tandon
2024 J jnl
Inference Privacy: Properties and Mechanisms.
CoRR
Fengwei Tian, Ravi Tandon
2024 J jnl
Methodology and Real-World Applications of Dynamic Uncertain Causality Graph for Clinical Diagnosis with Explainability and Invariance.
CoRR
Zhang Zhang, Qin Zhang, Yang Jiao, Lin Lu, Lin Ma, Aihua Liu, Xiao Liu, Juan Zhao, Yajun Xue, Bing Wei, Mingxia Zhang, Ru Gao, Hong Zhao, Jie Lu, Fan Li, Yang Zhang, Yiming Wang, Lei Zhang, Fengwei Tian, Jie Hu, Xin Gou
2024 J jnl
Methodology and real-world applications of dynamic uncertain causality graph for clinical diagnosis with explainability and invariance.
Artif. Intell. Rev.
Zhang Zhang, Qin Zhang, Yang Jiao, Lin Lu, Lin Ma, Aihua Liu, Xiao Liu, Juan Zhao, Yajun Xue, Bing Wei, Mingxia Zhang, Ru Gao, Hong Zhao, Jie Lu, Fan Li, Yang Zhang, Yiming Wang, Lei Zhang, Fengwei Tian, Jie Hu, Xin Gou
2022 J jnl
AI-aided general clinical diagnoses verified by third-parties with dynamic uncertain causality graph extended to also include classification.
Artif. Intell. Rev.
Zhan Zhang, Yang Jiao, Mingxia Zhang, Bing Wei, Xiao Liu, Juan Zhao, Fengwei Tian, Jie Hu, Qin Zhang