Chen Shen

Globality‐Locality Preserving Maximum Variance Extreme Learning Machine

2019 · Complexity

An extreme learning machine (ELM) is a useful technique for machine learning; however, the existing extreme learning machine methods cannot exploit the geometric structure information or discriminate information of the data space well. Therefore, we …

Predicting the occurrence of venous thromboembolism: construction and verification of Risk Warning Model

2020 · Research Square

Abstract Background: The onset of venous thromboembolism is insidious and the prognosis is poor. In this study, we aimed to construct a VTE risk early warning model and explore the clinical application value of the …

Improving Pseudo-label Training For End-to-end Speech Recognition Using Gradient Mask

2021 · arXiv (Cornell University)

In the recent trend of semi-supervised speech recognition, both self-supervised representation learning and pseudo-labeling have shown promising results. In this paper, we propose a novel approach to combine their ideas for end-to-end speech recognition model. …

A Diachronic Study on the Cultivation of Innovative Talents in China’s Foreign Language Education: Achievements and Prospects

2023 · World Journal of Educational Research

It is the historical mission and sacred duty of Chinese universities to cultivate innovative talents. Researchers in the domain of foreign language education have undertaken in-depth theoretical research around the cultivation of innovative talents in …

A Relationship Extraction Framework Based on Reinforcement Learning and Machine Reading Comprehension

2024

The task of relation extraction is to extract semantic relationships between entities from text, which is an important element in the fields of information extraction, natural language understanding, and information retrieval. With the application of …

Self-Learning Symmetric Multi-View Probabilistic Clustering

2024 · IEEE Transactions on Knowledge and Data Engineering

Multi-view Clustering (MVC) has achieved significant progress, with many efforts dedicated to learn knowledge from multiple views. However, most existing methods are either not applicable or require additional steps for incomplete MVC. Such a limitation …

SciPIP: An LLM-based Scientific Paper Idea Proposer

2024 · arXiv (Cornell University)

The rapid advancement of large language models (LLMs) has opened new possibilities for automating the proposal of innovative scientific ideas. This process involves two key phases: literature retrieval and idea generation. However, existing approaches often …

Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning

2024 · arXiv (Cornell University)

Forensic pathology is critical in determining the cause and manner of death through post-mortem examinations, both macroscopic and microscopic. The field, however, grapples with issues such as outcome variability, laborious processes, and a scarcity of …