Yi Zhang

Study on the Application of Cognitive Apprenticeship in English Audio-visual Teaching in Colleges and Universities

2016

English audio-visual teaching uses multimedia to assist teaching, and creates English learning space in classroom teaching. With sufficient communication between teachers and students, English teachers guide students to change traditional learning modes, take an active …

Bilingual Education Transformation on Textiles Material Experiment

2017 · DEStech Transactions on Social Science Education and Human Science

Bilingual education is a great attempt of high education reform in our country, and becomes the new question facing by many teachers. This study discuss a bilingual education of Textile Material Experiment on teaching efficiency …

A Knee-Guided Evolutionary Algorithm for Compressing Deep Neural Networks

2019 · IEEE Transactions on Cybernetics

Deep neural networks (DNNs) have been regarded as fundamental tools for many disciplines. Meanwhile, they are known for their large-scale parameters, high redundancy in weights, and extensive computing resource consumptions, which pose a tremendous challenge …

A framework for rocket and satellite launch information management systems based on blockchain technology

2019 · Enterprise Information Systems

The paper proposed the framework for rocket and satellite launch information management systems based on blockchain technology to meet the requirements for the storage and use of credible information. First, the launch stages of a …

An improved water wave optimisation algorithm enhanced by CMA-ES and opposition-based learning

2019 · Connection Science

Water Wave Optimisation algorithm (WWO) is a new swarm-based metaheuristic inspired by shallow wave models for global optimisation. In this paper, an enhanced WWO, which combines with multiple assistant strategies (EWWO), is proposed. First, the …

Parallel Data Augmentation for Formality Style Transfer

2020 · arXiv (Cornell University)

The main barrier to progress in the task of Formality Style Transfer is the inadequacy of training data. In this paper, we study how to augment parallel data and propose novel and simple data augmentation …

M3LA: A Novel Approach Based on Encoder-Decoder with Attention Framework for Multi-modal Multi-label Learning

2020

With the exponential growth of digital multimedia resources, in the real-world, most of the data are represented as a multi-modal form and usually with multiple semantic labels. Nowadays, Multi-modal Multi-label learning has become a very …

Extraction and Evaluation of Knowledge Entities from Scientific Documents

2021 · Journal of Data and Information Science

Sciendo provides publishing services and solutions to academic and professional organizations and individual authors. We publish journals, books, conference proceedings and a variety of other publications.

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System

2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Pre-trained language models have been recently shown to benefit task-oriented dialogue (TOD) systems. Despite their success, existing methods often formulate this task as a cascaded generation problem which can lead to error accumulation across different …

Label Semantic Aware Pre-training for Few-shot Text Classification

2022 · arXiv (Cornell University)

In text classification tasks, useful information is encoded in the label names. Label semantic aware systems have leveraged this information for improved text classification performance during fine-tuning and prediction. However, use of label-semantics during pre-training …

Substation Project Evaluation Model Based on Coefficient of Variation And Fuzzy Comprehensive Evaluation

2022 · 2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)

Aiming at the problems of single traditional index, fuzzy evaluation result and subjective index weight in evaluating the investment benefit of substation project, a substation project evaluation model based on coefficient of variation and fuzzy …

Reconstructed Graph Constrained Auto-Encoders for Multi-View Representation Learning

2023 · IEEE Transactions on Multimedia

The application of Auto-Encoder (AE) to multi-view representation learning has gained traction due to advancements in deep learning. While some current AE-based multi-view representation learning algorithms incorporate the geometric structure of the input data into …

Dynamic Corrected Split Federated Learning With Homomorphic Encryption for U-Shaped Medical Image Networks

2023 · IEEE Journal of Biomedical and Health Informatics

U-shaped networks have become prevalent in various medical image tasks such as segmentation, and restoration. However, most existing U-shaped networks rely on centralized learning which raises privacy concerns. To address these issues, federated learning (FL) …

TinyGSM: achieving >80% on GSM8k with small language models

2023 · arXiv (Cornell University)

Small-scale models offer various computational advantages, and yet to which extent size is critical for problem-solving abilities remains an open question. Specifically for solving grade school math, the smallest model size so far required to …

Runtime-Aware Pipeline for Vertical Federated Learning with Bounded Model Staleness

2025

Vertical federated learning (VFL) enables a privacy-preserving collaboration among various parties to train a global model by melding their geo-distributed data features. Communication has been recognized as the primary bottleneck that impairs training efficiency due …

Construction of the Trauma Injury Knowledge Graph

2025

As a leading threat to human health, trauma is the primary cause of death among individuals under 40, making its prevention and treatment undeniably important. To effectively prevent and treat trauma, it is crucial to …

Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis

2015

The frequently changing user preferences and/or item profiles have put essential importance on the dynamic modeling of users and items in personalized recommender systems. However, due to the insufficiency of per user/item records when splitting …

A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System

2018 · IEEE Transactions on Cybernetics

The collaborative filtering (CF) based models are capable of grasping the interaction or correlation of users and items under consideration. However, existing CF-based methods can only grasp single type of relation, such as restricted Boltzmann …

Conversational Recommender System

2018

A personalized conversational sales agent could have much commercial potential. E-commerce companies such as Amazon, eBay, JD, Alibaba etc. are piloting such kind of agents with their users. However, the research on this topic is …

Personalized re-ranking for recommendation

2019

Ranking is a core task in recommender systems, which aims at providing an ordered list of items to users. Typically, a ranking function is learned from the labeled dataset to optimize the global performance, which …