Xiaofeng Zhang

Graph-DPP: Sampling Diverse Neighboring Nodes via Determinantal Point Process

2020

Recently, various graph neural network based approaches have been proposed to learn graph feature representations. However, there exists a long-term outstanding issue, i.e., over-smoothing problem. That is, when convoluting deeper neighboring nodes, the feature difference …

Why do Semantically Unrelated Categories Appear in the Same Session?

2022 · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Session-based recommendation has recently attracted more and more research efforts. Most existing approaches are intuitively proposed to discover users' potential preferences or interests from the anonymous session data. This apparently ignores the fact that these …

On-Orbit Health Management of Thermal Control Subsystem of a Micro Satellite

2022 · 2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)

As a subsystem of spacecraft, thermal control plays a basic role in guarantee. According to the reliability requirements of a micro satellite, a thermal on-orbit health management system is proposed, which has ensured the normal …

Mixture of Attention Heads: Selecting Attention Heads Per Token

2022

Mixture-of-Experts (MoE) networks have been proposed as an efficient way to scale up model capacity and implement conditional computing. However, the study of MoE components mostly focused on the feedforward layer in Transformer architecture. This …

LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstruction

2024

Lensless imaging stands out as a promising alternative to conventional lens-based systems, particularly in scenarios demanding ultracompact form factors and cost-effective architectures. However, such systems are fundamentally governed by the Point Spread Function (PSF), which …