Malu Zhang

Sequential Random Network for Fine-grained Image Classification

2021 · arXiv (Cornell University)

Deep Convolutional Neural Network (DCNN) and Transformer have achieved remarkable successes in image recognition. However, their performance in fine-grained image recognition is still difficult to meet the requirements of actual needs. This paper proposes a …

Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate

2023 · arXiv (Cornell University)

Recurrent Neural Networks (RNNs) are widely recognized for their proficiency in modeling temporal dependencies, making them highly prevalent in sequential data processing applications. Nevertheless, vanilla RNNs are confronted with the well-known issue of gradient vanishing …

EMWQ: An Efficient Mixed Precision Weight Quantization Method for Large Language Models

2025 · IEEE Transactions on Neural Networks and Learning Systems

Large language models (LLMs) have gained a lot of attention and achievements recently because of their significant comprehension and generative abilities. However, the large-scale parameters of LLMs require considerable computational resources in the training and …

Utilizing Contextual Clues and Role Correlations for Enhancing Document-Level Event Argument Extraction

2025 · IEEE Transactions on Audio Speech and Language Processing

Document-level event argument extraction is a crucial yet challenging task within the field of information extraction. Current mainstream approaches primarily focus on the information interaction between event triggers and their arguments, facing two limitations: insufficient …