Weixin Li

BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation

2024 · arXiv (Cornell University)

In real recommendation scenarios, users often have different types of behaviors, such as clicking and buying. Existing research methods show that it is possible to capture the heterogeneous interests of users through different types of …

EmboMatrix: A Scalable Training-Ground for Embodied Decision-Making

2025 · arXiv (Cornell University)

Embodied decision-making enables agents to translate high-level goals into executable actions through continuous interactions within the physical world, forming a cornerstone of general-purpose embodied intelligence. Large language models (LLMs), with their general decision-making capabilities, offer …

Multi-Grained Compositional Visual Clue Learning for Image Intent Recognition

2025 · arXiv (Cornell University)

In an era where social media platforms abound, individuals frequently share images that offer insights into their intents and interests, impacting individual life quality and societal stability. Traditional computer vision tasks, such as object detection …