Hierarchical Adversarial Training for Multi-domain Adaptive Sentiment Analysis. - Zhao Xu 001; Lorenzo von Ritter; Giuseppe Serra 002 (Complex Pattern Mining, 2020)

Interpreting Node Embedding with Text-labeled Graphs. - Giuseppe Serra 002; Zhao Xu 001; Mathias Niepert; Carolin Lawrence; Peter Tiño; Xin Yao 001 (IJCNN, 2021)

Learning Sparsity of Representations with Discrete Latent Variables. - Zhao Xu 001; Daniel Oñoro-Rubio; Giuseppe Serra 002; Mathias Niepert (IJCNN, 2021)

Human-Centric Research for NLP: Towards a Definition and Guiding Questions. - Bhushan Kotnis; Kiril Gashteovski; Julia Gastinger; Giuseppe Serra 002; Francesco Alesiani; Timo Sztyler; Ammar Shaker; Na Gong; Carolin Lawrence; Zhao Xu 001 (CoRR, 2022)

Learning to Explain Graph Neural Networks. - Giuseppe Serra 002; Mathias Niepert (CoRR, 2022)

An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews. - Giuseppe Serra 002; Peter Tino; Zhao Xu 001; Xin Yao 001 (IJCNN, 2024)

L2XGNN: learning to explain graph neural networks. - Giuseppe Serra 002; Mathias Niepert (Mach. Learn., 2024)