Detecting Anomalies in Communication Packet Streams Based on Generative Adversarial Networks. - Di Zhang 031; Qiang Niu; Xingbao Qiu (WASA, 2019)

Mining concise patterns on graph-connected itemsets. - Di Zhang 031; Yunquan Zhang; Qiang Niu; Xingbao Qiu (Neurocomputing, 2019)

CycleKAN: Integrating Kolmogorov-Arnold Networks with Explicit Cycle Modeling for Efficient Urban Traffic Forecasting. - Yuntian Hou; Di Zhang 031; Qiang Niu (ICIC (7), 2025)

Designing Trading Strategies with LLMs: A DSL-Driven Framework Using In-Context Learning. - Jinheng Wu; Di Zhang 031; Qiang Niu (ICIC (11), 2025)