Wei Gao

Novel robust generalized high-degree cubature kalman filter for transfer alignment

2018

A novel robust generalized high-degree Cubature Kalman filter (RGHCKF) for transfer alignment is proposed to solve the problem that the Cubature Kalman filter (CKF) declines in accuracy and even diverges when the non-Gaussian noise and …

How AI chatbots have reshaped the frontline interface in China: examining the role of sales–service ambidexterity and the personalization–privacy paradox

2022 · International Journal of Emerging Markets

Purpose This study serves two purposes: (1) to evaluate the effects of organizational ambidexterity by examining how the balanced and the combined sales–service configurations of chatbots differ in their abilities to enhance customer experience and …

Context-Hierarchy Inverse Reinforcement Learning

2022 · arXiv (Cornell University)

An inverse reinforcement learning (IRL) agent learns to act intelligently by observing expert demonstrations and learning the expert's underlying reward function. Although learning the reward functions from demonstrations has achieved great success in various tasks, …

An efficient recommender system based on improved KGPolicy module

2023

As an appropriate method for mining negative signals from large-scale unobserved data, negative sampling plays a key role in recommender systems. Existing negative sampling methods, however, either static or adaptive ones, are insufficient to explicitly …

Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference

2024 · arXiv (Cornell University)

Privacy-preserving neural networks have attracted increasing attention in recent years, and various algorithms have been developed to keep the balance between accuracy, computational complexity and information security from the cryptographic view. This work takes a …

Feasibility of data transmission under attack: from isolated toughness variant perspective

2023 · Проблемы передачи информации

The graph model is an appreciable tool for data transmission network, where the feasibility of data transmission in site attack circumstances can be described by fractional critical graphs, and the vulnerability of networks can be …

HSEKT-GS: Hypergraph structure-enhanced for knowledge tracing with gumbel-softmax sampling

2025 · Knowledge-Based Systems

Knowledge tracing is a core task in intelligent education, aiming to model students’ knowledge states based on their learning behaviors and dynamically predict their mastery of specific concepts. In practical applications, online learning platforms typically …