Recently, the globally acclaimed journal Knowledge and Information Systems (KAIS) unveiled the recipient of its 2025 Best Paper Award. The distinguished accolade went to the paper 'Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond', authored by Professor Dou Dejing, a Preeminent Professor at the School of Computing and Intelligence Innovation.

Since its publication in 2022, the paper has garnered significant attention within the academic community, amassing over 570 citations on Google Scholar. It offers a comprehensive review of the current research landscape, model construction methodologies, and typical applications pertaining to interpretable deep learning. Moreover, it presents innovative solutions to address the trust issues stemming from the 'black box' nature inherent in deep neural networks.

As an internationally recognized and authoritative journal in the realm of data mining and information systems, KAIS has adopted the practice of selecting one outstanding paper annually since 2018. This tradition aims to acknowledge and celebrate exceptional achievements that have made a substantial impact on the field.

Professor Dou Dejing's team has a longstanding and profound engagement in the field of artificial intelligence. The laboratory is outfitted with a state-of-the-art software and hardware system, and it actively collaborates with industry partners to facilitate technological implementation. Their work finds applications in diverse areas, including embodied intelligence, smart healthcare, and AIGC (Artificial Intelligence Generated Content).