Jia Liu

Research of Submarine CGF Behavior Aggregation Disaggregation and Reconstruction in Sea Battle

2015

According to the need of different simulation scale,the hierarchy design of submarine computer generated force behavior it given by the method of aggregation and disaggregation,then the behavior model of the submarine force using J2EE/EJB component …

Mining Feature-Opinion from Reviews Based on Dependency Parsing

2016 · International Journal of Software Engineering and Knowledge Engineering

The manual reading of all the product reviews to find a satisfying item is not only labor-intensive, but also tedious for the consumers. In this paper, we propose a feature-opinion mining approach to automatically summarize …

Geometric Discriminant Analysis for I-vector Based Speaker Verification

2019

Many i-vector based speaker verification use linear discriminant analysis (LDA) as a post-processing stage. LDA maximizes the arithmetic mean of the Kullback-Leibler (KL) divergences between different pairs of speakers. However, for speaker verification, speakers with …

Influence Function based Data Poisoning Attacks to Top-N Recommender Systems

2020

Recommender system is an essential component of web services to engage users. Popular recommender systems model user preferences and item properties using a large amount of crowdsourced user-item interaction data, e.g., rating scores; then top-N …

Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning

2020

Understanding the convergence performance of asynchronous stochastic gradient descent method (Async-SGD) has received increasing attention in recent years due to their foundational role in machine learning. To date, however, most of the existing works are …

GADGET: Online Resource Optimization for Scheduling Ring-All-Reduce Learning Jobs

2022

Fueled by advances in distributed deep learning (DDL), recent years have witnessed a rapidly growing demand for resource-intensive distributed/parallel computing to process DDL computing jobs. To resolve network communication bottleneck and load balancing issues in …

Evolutionary game study on the governance and development of online car-hailing based on blockchain technology

2022 · Scientific Reports

Changes in the online car-hailing industry have brought new challenges to government governance. Effectively enhancing governance efficiency has become the focus of academic research. Based on the technical governance perspective, this paper introduces the consortium …

Design of Hazard Management Method Based on Blockchain

2022 · 2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)

This paper proposes a blockchain-based hazard management method. Firstly, the data structure and operation types of hazards in civil aviation risk management are analyzed in detail. Secondly, a blockchain is designed to maintain all the …

Study on the Influence of Remote Exercise Intervention on Different Diseases from the Perspective of Modern Network Technology

2023 · Frontiers in Sport Research

The increasing popularity of low-cost Internet and communication technology has increased the opportunity for patients with different diseases to choose their own sports programs based on technology-based solutions. This method of remote guidance and monitoring …

Improve Interpretability of Neural Networks via Sparse Contrastive Coding

2022

Although explainable artificial intelligence (XAI) has achieved remarkable developments in recent years, there are few efforts have been devoted to the following problems, namely, i) how to develop an explainable method that could explain the …

Unsupervised Domain Adaption for Remote Sensing Semantic Segmentation with Self-Attention Mechanism

2023

The domain shift between the source and target domains limits the performance of traditional convolutional neural networks (CNNs) for feature extraction in remote sensing tasks. We propose an image translation network that uses generative adversarial …

DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency

2024 · arXiv (Cornell University)

The combination of electronic health records (EHR) and medical images is crucial for clinicians in making diagnoses and forecasting prognosis. Strategically fusing these two data modalities has great potential to improve the accuracy of machine …

Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning

2024

This paper introduces Q-tuning, a novel approach for continual prompt tuning that enables the lifelong learning of a pre-trained language model.When learning a new task, Q-tuning trains a task-specific prompt by adding it to a …

FedMDKGE: Multi-granularity Dynamic Knowledge Graph Embedding in Federated Learning

2025 · International Journal of Computational Intelligence Systems

As knowledge is time-sensitive, some researchers have started to focus on dynamic knowledge graphs to provide time-dimensioned knowledge content thus reflecting richer information. But they have not yet combined temporal information at different granularities. Also, …

Poisoning Attacks to Graph-Based Recommender Systems

2018

Recommender system is an important component of many web services to help users locate items that match their interests. Several studies showed that recommender systems are vulnerable to poisoning attacks, in which an attacker injects …