Zeyu Li

Creative Accessibility in the Era of Artificial Intelligence and Its Applied Technology Research

2024

In the era of artificial intelligence, an AI dual-teacher classroom environment constructed using technologies such as knowledge graphs, large models, and educational robots will facilitate students in achieving the cognitive goals related to creativity in …

Constrained Particle Seeking: Solving Diffusion Inverse Problems with Just Forward Passes

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Diffusion models have gained prominence as powerful generative tools for solving inverse problems due to their ability to model complex data distributions. However, existing methods typically rely on complete knowledge of the forward observation process …

GCPT: Gradient-aware Clustering Method for Efficient Post-Training Quantization in Large Neural Networks

2026

Large-scale neural network models have achieved outstanding performance across diverse tasks, but often come with expensive computational costs. In this paper, we propose a gradient-aware clustering method for post-training quantization (GCPT) in order to effectively …

Learning Gender-Neutral Word Embeddings

2018

Word embedding models have become a fundamental component in a wide range of Natural Language Processing (NLP) applications. However, embeddings trained on human-generated corpora have been demonstrated to inherit strong gender stereotypes that reflect social …