Huan Xu

Maximizing Cumulative User Engagement in Sequential Recommendation

2020

To maximize cumulative user engagement (e.g. cumulative clicks) in sequential recommendation, it is often needed to tradeoff two potentially conflicting objectives, that is, pursuing higher immediate user engagement (e.g., click-through rate) and encouraging user browsing …

Learning Universal User Representations via Self-Supervised Lifelong Behaviors Modeling

2021 · arXiv (Cornell University)

Universal user representation is an important research topic in industry, and is widely used in diverse downstream user analysis tasks, such as user profiling and user preference prediction. With the rapid development of Internet service …

Adversarial example defense based on image reconstruction

2021 · PeerJ Computer Science

The rapid development of deep neural networks (DNN) has promoted the widespread application of image recognition, natural language processing, and autonomous driving. However, DNN is vulnerable to adversarial examples, such as an input sample with …