Enhancing Synthetic Data Generation for Class Imbalance and Privacy Preservation. - Weijie Niu; Alberto Huertas Celdrán; Jingjing Li; Burkhard Stiller (IEEE Big Data, 2024)

DP-Tabula: Differentially Private Synthetic Tabular Data Generation with Large Language Models. - Weijie Niu; Zehao Zhang; Alberto Huertas Celdrán; Chao Feng 001; Jan von der Assen; Nasim Nezhadsistani; Burkhard Stiller (CSR, 2025)

LHQ-SVC: Lightweight and High Quality Singing Voice Conversion Modeling. - Yubo Huang; Xin Lai; Muyang Ye; Anran Zhu; Zixi Wang; Jingzehua Xu; Shuai Zhang; Zhiyuan Zhou; Weijie Niu (ICASSP, 2025)

FEST: A Unified Framework for Evaluating Synthetic Tabular Data. - Weijie Niu; Alberto Huertas Celdrán; Karoline Siarsky; Burkhard Stiller (ICISSP (1), 2025)

QUIC-Exfil: Exploiting QUIC's Server Preferred Address Feature to Perform Data Exfiltration Attacks. - Thomas Grübl; Weijie Niu; Jan von der Assen; Burkhard Stiller (CoRR, 2025)