Jing Zhang

Research on attention memory networks as a model for learning natural language inference

2016

Natural Language Inference (NLI) is a fundamentally important task in natural language processing that has many applications. It is concerned with classifying the logical relation between two sentences. In this paper, we propose attention memory …

Interdecadal correlation of solar activity with Tibetan Plateau snow depth and winter atmospheric circulation in East Asia

2018 · Sciences in Cold and Arid Regions

Studies on the impact of solar activity on climate system are very important in understanding global climate change. Previous studies in this field were mostly focus on temperature, wind and geopotential height. In this paper, …

Research on technology environment improvement of related industries based on internet governance

2017 · Journal of Physics Conference Series

The technology of Internet is an important factor of industry's development. Constructing a good technical environment is the foundation of the Internet and related industries' development. This paper demonstrates the necessity of the construction and …

Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition

2019 · ACM Computing Surveys

This article takes a problem-oriented perspective and presents a comprehensive review of transfer-learning methods, both shallow and deep, for cross-dataset visual recognition. Specifically, it categorises the cross-dataset recognition into 17 problems based on a set …

Another Dimension: Towards Multi-subnet Neural Network for Image Sentiment Analysis

2019

Image sentiment analysis has been studied for many years, and most of algorithms take the image sentiment as independent and discrete labels to predict by machine learning. Actually, as a product of multiple hormone combinations, …

Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images

2019 · arXiv (Cornell University)

Goal: Squamous cell carcinoma of cervix is one of the most prevalent cancer worldwide in females. Traditionally, the most indispensable diagnosis of cervix squamous carcinoma is histopathological assessment which is achieved under microscope by pathologist. …

Unsupervised Domain Expansion from Multiple Sources

2020 · arXiv (Cornell University)

Given an existing system learned from previous source domains, it is desirable to adapt the system to new domains without accessing and forgetting all the previous domains in some applications. This problem is known as …

Efficient determination of enantiomeric ratios of α-hydroxy/amino acids from fermented milks via ion mobility-mass spectrometry.

2023 · PubMed

]-estradiol-3-benzoate-17β-chloroformate labeling-assisted ion mobility - mass spectrometry. Results revealed extensive variation in chiral HA/AA profiles among 15 fermented milks. A total of 14 D-HA/AAs were identified. d-Lactic acid and d-alanine appeared as the most discriminatory …

Threshold-free Anomaly Detection for Streaming Time Series through Deep Learning

2021 · 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)

Anomaly detection for streaming time series is a key issue in real applications, especially in the IT industry like ecommerce. Instead of employing the traditional threshold-based approach to achieve anomaly detection, we propose a threshold-free …

Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures

2017 · IEEE Journal of Biomedical and Health Informatics

Electronic health records (EHR) provide opportunities to leverage vast arrays of data to help prevent adverse events, improve patient outcomes, and reduce hospital costs. This paper develops a postoperative complications prediction system by extracting data …

Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System

2023 · arXiv (Cornell University)

In recent years, thanks to the rapid development of deep learning (DL), DL-based multi-task learning (MTL) has made significant progress, and it has been successfully applied to recommendation systems (RS). However, in a recommender system, …

Weighted interest degree collaborative recommendation algorithm based on association rules

2018 · Research Briefs on Information and Communication Technology Evolution

With the development of the internet and mobile technology, the era of information overload hascome, thereby leading to considerable interests in the recommendation system as an important meanto address such an overload problem. Especially, collaborative …

Unified Domain Adaptive Semantic Segmentation

2023 · arXiv (Cornell University)

Unsupervised Domain Adaptive Semantic Segmentation (UDA-SS) aims to transfer the supervision from a labeled source domain to an unlabeled target domain. The majority of existing UDA-SS works typically consider images whilst recent attempts have extended …

Adversarial Purification with the Manifold Hypothesis

2024 · Proceedings of the AAAI Conference on Artificial Intelligence

In this work, we formulate a novel framework for adversarial robustness using the manifold hypothesis. This framework provides sufficient conditions for defending against adversarial examples. We develop an adversarial purification method with this framework. Our …

Privacy-Preserving E-Voting Scheme with Dynamically Involved Voters

2024

As a more economical and efficient voting method than traditional voting, electronic voting (e-voting) has been widely concerned and supported. However, e-voting schemes face great challenges in privacy and security protection. In order to solve …

Tourism data mining technology based on Apriori algorithm and strong association rule extraction

2025 · Journal of Computational Methods in Sciences and Engineering

In the context of current tourism informatization, with the rapid development of Internet, artificial intelligence and other technologies, tourism data mining technology has been widely used. To solve the problem of insufficient depth in tourism …

Research on the Construction and Application of Blended Teaching Mode for College Public English

2025 · Journal of Higher Education Research

Against the backdrop of the increasing maturity of information technology, applying information technology in university public English teaching to create an online teaching model and combining it with the online teaching model to form a …

State diagnosis technology of metal enclosed gas insulation equipment based on Apriori algorithm in cloud computing environment

2025 · International Journal of Environment and Pollution

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; …

GCC

2020

Graph representation learning has emerged as a powerful technique for addressing real-world problems. Various downstream graph learning tasks have benefited from its recent developments, such as node classification, similarity search, and graph classification. However, prior …