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Wenqi Wei

Trustworthy Data Management Responsible Data Analysis Representation Learning Multi-Armed Bandits Foundation Models

About

I am currently a tenure-track assistant professor at Fordham University. I received my PhD in Computer Science from Georgia Institute of Technology in 2022. I was fortunate to work with Professor Ling Liu in the Distributed Data Intensive Systems Lab (DiSL). After graduation, I spent some short but wonderful time at IBM Research. I received my Bachelor's degree in Electronics and Information Engineering (B.E.) with summa cum laude from Huazhong University of Science and Technology. My research interest includes trustworthy data management and systems, data privacy, responsible data analysis (fairness, accountability, transparency), intelligent data management (for financial service, healthcare, and misinformation) with particular focus on representation learning, online learning (multi-armed bandits), and foundation models. You are welcome to visit my homepage for up-to-date research activities. I lived in Atlanta, Georgia when I was a teenager, and attended Samuel M. Inman Middle School (now David T. Howard Middle School, home to MLK Jr.) and Henry W. Grady High School (now Midtown High School). I graduated from Inman with Awards for Achieving Highest Average in Science, Outstanding Achievement in ESOL, CRCT (Math & Science), and Honor Roll Certificate.

Research Performance Summary

82
Total Papers
4486
Total Citations
30
H-Index
2017-2026
Active Research Span

First Recorded Paper

Private and truthful aggregative game for large-scale spectrum sharing

Year: 2017

Citations: 31

Venue: IEEE Journal on Selected Areas in Communications 35 (2)

Latest Recorded Paper

Hardware-aware and Resource-efficient Circuit Packing and Scheduling on Trapped-Ion Quantum Computers

Year: 2026

Citations: 0

Venue: IEEE Transactions on Quantum Engineering

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
5
2025
18
2024
20
2023
12
2022
6
2021
7
2020
7
2019
4
2018
2
2017
1

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 41
Journal 16
Book 2

Top Coauthors

Wei Liu Chow

Research Impact by Period

2025-2026

Period Stats
Papers 23
Citations 162
Avg. Citations / Paper 7
H-Index 6

2020-2024

Period Stats
Papers 52
Citations 3615
Avg. Citations / Paper 69.5
H-Index 24

2015-2019

Period Stats
Papers 7
Citations 709
Avg. Citations / Paper 101.3
H-Index 7

Contact and Professional Links

Contact Information

wenqiwei@fordham.edu

Detected Research Keywords

Local Differential Privacy Resilient Federated Learning Network Representation Learning Against Gradient Leakage Learning Vulnerable Target Vulnerable Target Identification Target Identification Ransomware Circuit Cutting Scheduling Graph Neural Networks Financial Statement Fraud