Portrait of Wenjie Fu

Wenjie Fu.

Postdoctoral Researcher / Senior Algorithm Engineer

Peking University · School of Intelligence Science and Technology
JD.com · JD Cloud Security Business Group · TGT Top Talent Program

About me

I am a postdoctoral researcher at Peking University and a Senior Algorithm Engineer in the JD Cloud Security Business Group at JD.com, where I joined the TGT Top Talent Program in October 2026. I received my Ph.D. in Information and Communication Engineering from Huazhong University of Science and Technology in September 2026, advised by Prof. Tao Jiang.

My research focuses on privacy and security in large language models and LLM agents, including privacy attacks, defenses, and safe generation. Previously, I worked with M365 Research at Microsoft Research and the FIB Lab at Tsinghua University, collaborating with Prof. Yong Li, Dr. Huandong Wang, and Dr. Chen Gao. I also study privacy-preserving data mining and federated learning.

Research interests
LLM / MLPrivacy & SecurityTrustworthy AIData Mining
02 / Background

Education

— Present

Peking University

Postdoctoral Researcher

School of Intelligence Science and Technology

Advisor: Prof. Zhouchen Lin · Joint program with JD.com

—

Huazhong University of Science and Technology

Ph.D. in Information and Communication Engineering

School of Cyber Science and Engineering

Advisor: Prof. Tao Jiang

—

National Chiao Tung University

Exchange Student in Computer Science

Applied Computing and Multimedia Lab

Advisor: Prof. Ching-Chun Huang · GPA: 4.00/4.00

—

Beijing Jiaotong University

B.E. in Telecommunication Engineering

School of Electronic and Information Engineering

GPA: 3.96/4.00 · Top 3%

Experience

— Present

JD.com

Senior Algorithm Engineer

JD Cloud Security Business Group

TGT Top Talent Program

—

Microsoft Research

Research Intern

M365 Research · Data, Knowledge and Intelligence Group

Mentors: Xiaoting Qin and Jue Zhang

—

Tsinghua University

Research Intern & Visiting Scholar

FIB Lab · Department of Electronic Engineering

Advisor: Prof. Yong Li

03 / Updates

News

I joined Peking University as a postdoctoral researcher in the School of Intelligence Science and Technology, advised by Prof. Zhouchen Lin ↗, through a joint program with JD.com.

I joined JD.com as a Senior Algorithm Engineer in the JD Cloud Security Business Group through the TGT Top Talent Program ↗.

I received my Ph.D. from Huazhong University of Science and Technology.

I concluded my research internship at Microsoft Research. I am grateful to Xiaoting Qin, Jue Zhang, and the team at M365 Research ↗ for their mentorship and support.

I successfully defended my Ph.D. thesis at Huazhong University of Science and Technology.

I joined Microsoft Research as a research intern with M365 Research ↗, working on privacy and security of LLM agents.

Our work on privacy-preserving mobility data mining was accepted by ACM TIST.

Our NeurIPS 2024 paper was featured by QbitAI ↗.

MIA-Tuner was accepted as an oral paper at AAAI 2025.

Our work on membership inference attacks against large language models was accepted by NeurIPS 2024.

Our federated graph learning work was accepted by ACM TOIS.

04 / Research output

Selected Publications

* indicates equal contribution.

Peer-reviewed publications 06

Self-Sanitize framework with self-monitoring and in-place response repair
EMNLP 2026Oral2026

Self-Sanitize: Cognitive-Inspired In-Place Mitigation of LLM Harmful Responses

Wenjie Fu, Huandong Wang, Chen Gao, Guoan Wan, Junyao Gao, Yong Li, Tao Jiang

CI-Work benchmark construction and evaluation workflow for enterprise LLM agents
ACL 2026Microsoft MLADS Best Paper2026

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents

Wenjie Fu, Xiaoting Qin, Jue Zhang, Qingwei Lin, Lukas Wutschitz, Robert Sim, Saravan Rajmohan, Dongmei Zhang

Illustration of privacy-preserving infection case detection
ACM TIST2025

Mobility Data Driven Privacy-preserving Model for Detecting High Risk Infection Cases

Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang

MIA-Tuner research illustration
AAAI 2025Oral2025

MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector

Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang

Self-prompt calibration research illustration
NeurIPS 20242024

Membership Inference Attacks against Large Language Models via Self-prompt Calibration

Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang

Federated graph learning research illustration
ACM TOIS2024

Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning

Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang

Preprints 02

Responsible LLMs survey illustration
arXiv2025

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy

Huandong Wang, Wenjie Fu*, Yingzhou Tang, Zhilong Chen, Yuxi Huang, Jinghua Piao, Chen Gao, Fengli Xu, Tao Jiang, Yong Li

Diffusion model membership inference research illustration
arXiv2023

A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models

Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang

05 / Recognition

Honors & Awards

2025–26

National Scholarship for Doctoral Students

Huazhong University of Science and Technology

2025–26

Science and Technology Innovation Scholarship

Huazhong University of Science and Technology

2024–25

Third-class Scholarship for Doctoral Students

Huazhong University of Science and Technology

2021–24

First-class Scholarship for Doctoral Students

Huazhong University of Science and Technology · Three consecutive academic years

2020–21

First-class Academic Excellence Scholarship

Beijing Jiaotong University

2018–19

National Encouragement Scholarship

Beijing Jiaotong University

2018

Second Prize, National College Mathematics Competition

10th edition

2018

Second Prize, Beijing College Student Mathematics Competition

29th edition

06 / Community

Academic Service

Conference reviewer
NeurIPSICMLAAAIACLEMNLPNAACLKDDWWW / TheWebConf
Journal reviewer
IEEE TIFSACM TOPSACM TOISACM TISTIEEE IoT JournalIEEE Communications LettersScience China Information Sciences