Li Wang

Understanding the Behavior of Spark Workloads from Linux Kernel Parameters Perspective

2016

Despite a number of innovative computer systems with high capacity memory have been built, the design principles behind an operating system kernel have remained unchanged for decades. We argue that kernel parameters is a kind …

Human Resource Information Management Model based on Blockchain Technology

2017

The authenticity of human resource information has become an important factor that affects the cost and efficiency of human resource management. With the rapid development of mobile devices and Internet technology, various human resource risks …

Multipartite Quantum Entanglement and Quantum Correlation from cascaded Four-wave Mixing Processes with spatial multiplexing

2018 · Conference on Lasers and Electro-Optics

Four-wave mixing (FWM) process with spatial multiplexing is a promising candidate for building quantum network. We experimentally investigate multipartite quantum correlation and theoretically study multipartite quantum entanglement from cascaded FWM processes.

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 …

Privacy Preserving PCA for Multiparty Modeling

2020 · arXiv (Cornell University)

In this paper, we present a general multiparty modeling paradigm with Privacy Preserving Principal Component Analysis (PPPCA) for horizontally partitioned data. PPPCA can accomplish multiparty cooperative execution of PCA under the premise of keeping plaintext …

An approach for constructing expert yellow pages for community question answering sites

2021 · Expert Systems

Abstract The rapid increase in the number of community‐based question‐and‐answer services is attracting many users. Questions are posted and answered by community members. These users, who can help other users answer questions, can be considered …

GAN-Based Dual Active Learning for Nosocomial Infection Detection

2021 · IEEE Transactions on Network Science and Engineering

Although monitor devices and information systems are increasingly connected across hospitals, but scenarios such as hospital acquired infections (HAIs) detection where data are extremely scare and imbalanced has remained to be solved. In this paper, …

Learning Decoupling Features Through Orthogonality Regularization

2022 · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Keyword spotting (KWS) and speaker verification (SV) are two important tasks in speech applications. Research shows that the state-of-art KWS and SV models are trained independently using different datasets since they expect to learn distinctive …

A study on the quality evaluation index system of smart home care for older adults in the community ——based on Delphi and AHP

2023 · BMC Public Health

BACKGROUND: In the context of the "silver wave" and "technology wave", smart home care for older adults in the community provide new ways for China and other countries to support ageing in place. Yet, only …

Improving Low-Resource Chinese Named Entity Recognition Using Bidirectional Encoder Representation from Transformers and Lexicon Adapter

2023 · Applied Sciences

Due to their individual advantages, the integration of lexicon information and pre-trained models like BERT has been widely adopted in Chinese sequence labeling tasks. However, given their high demand for training data, efforts have been …

Tibetan Sentence Boundaries Automatic Disambiguation Based on Bidirectional Encoder Representations from Transformers on Byte Pair Encoding Word Cutting Method

2024 · Applied Sciences

Sentence Boundary Disambiguation (SBD) is crucial for building datasets for tasks such as machine translation, syntactic analysis, and semantic analysis. Currently, most automatic sentence segmentation in Tibetan adopts the methods of rule-based and statistical learning, …

A Systematic Literature Review Of The Effective Of Problem-Based Learning In Blended Learning Environment

2024

Blended problem-based learning (BPBL) combines problem-based learning (PBL)'s active engagement with blended learning (BL)'s flexible delivery, creating a powerful learning experience. This paper contributes by conducting a systematic literature review using the PRISMA method, based …

Failure-Resilient Distributed Inference with Model Compression over Heterogeneous Edge Devices

2024 · arXiv (Cornell University)

The distributed inference paradigm enables the computation workload to be distributed across multiple devices, facilitating the implementations of deep learning based intelligent services on extremely resource-constrained Internet of Things (IoT) scenarios. Yet it raises great …

Rapid recognition of athlete's anxiety emotion based on multimodal fusion

2024 · International Journal of Biometrics

The diversity of anxiety emotions and individual differences among different athletes have increased the difficulty of emotion recognition. To address this, a rapid recognition method of athlete's anxiety emotion based on multimodal fusion is proposed. …

SpMis: An Investigation of Synthetic Spoken Misinformation Detection

2024 · arXiv (Cornell University)

In recent years, speech generation technology has advanced rapidly, fueled by generative models and large-scale training techniques. While these developments have enabled the production of high-quality synthetic speech, they have also raised concerns about the …

Learning Sequence Recommendation Algorithm Based on Learner Interest and Neighborhood Information

2024

Now, most of the sequential recommendation algorithms model learner interests and course information based on the current learner's learning sequence, lacking the use of course order information and mining course information in the neighborhood sequence, …

Boosting AI-Generated Biomedical Images with Confidence through Advanced Statistical Inference

2025 · Journal of the American Statistical Association

Generative artificial intelligence (AI) has transformed the biomedical imaging field through image synthesis, addressing challenges of data availability, privacy, and diversity in biomedical research. This paper proposes a novel nonparametric method within the functional data …