Jie Zhang

Research Status and Development Trend of Internet of Things Technology

2015 · Advances in intelligent systems research/Advances in Intelligent Systems Research

In this paper, the current situation of research on Internet of things technology to carry on the analysis, the RFID technology, sensor network and detection technology, intelligent technology, nanotechnology, address of the IPv6 technology are …

DBpedia-Based Fuzzy Query Recommenda-tion Algorithm and Its Applications in the Resource-Sharing Platform of Polar Samples

2015 · International Journal of Intelligence Science

In order to continuously promote the polar sample resource services in China and effectively guide the users to access such information as needed, a fuzzy algorithm based on DBpedia has been proposed through the analysis …

Online Reputation Fraud Campaign Detection in User Ratings

2017

Reputation fraud campaigns (RFCs) distort the reputations of rated items, by generating fake ratings through multiple spammers. One effective way of detecting RFCs is to characterize their collective behaviors based on rating histories.However, these campaigns …

Weighted Integral of Infinitely Differentiable Multivariate Functions is Exponentially Convergent

2019 · Numerical Mathematics Theory Methods and Applications

We study the problem of a weighted integral of infinitely differentiable multivariate functions defined on the unit cube with the L -norm of partial derivative of all orders bounded by 1. We consider the algorithms …

Key Distribution Based on Survival Life Time with Y-00 Protocol in Optical Fiber Link

2019

We propose a survival life time-based key distribution scheme with Y-00 protocol in optical fiber physical layer. Simulation results shows that with the proposed scheme, the bit-error rate of keys can reach 1.3%.

Auxiliary graph based routing, wavelength, and time-slot assignment in metro quantum optical networks with a novel node structure

2020 · Optics Express

Nowadays, critical sectors in government, finance, and military are facing increasingly high security challenges. However, traditional public-key crypto-systems based on computational complexity are likely to suffer from upgrade computational power. Quantum key distribution (QKD) is …

Modelling of a post-combustion CO<inf>2</inf> capture process using extreme learning machine

2016

This paper presents modelling of a post-combustion CO2capture process using bootstrap aggregated extreme learning machine. Extreme learning machine (ELM) randomly assigns the weights between input and hidden layers and obtains the weights between the hidden …

Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison

2020

With tremendous amount of recommendation algorithms proposed every year, one critical issue has attracted a considerable amount of attention: there are no effective benchmarks for evaluation, which leads to two major concerns, i.e., unreproducible evaluation …

Data Augmentation for Multiclass Utterance Classification – A Systematic Study

2020

Utterance classification is a key component in many conversational systems. However, classifying real-world user utterances is challenging, as people may express their ideas and thoughts in manifold ways, and the amount of training data for …

Fast laser cooling using optimal quantum control

2021 · Physical Review A

Cooling down a trapped ion into its motional ground state is a central step for trapped-ion-based quantum information processing. State-of-the-art cooling schemes often work under a set of optimal cooling conditions derived analytically using a …

Technical and Individual Factors Influencing Mobile Learning in China’s Higher Education during the Outbreak of Covid-19

2021 · Revista Romaneasca pentru Educatie Multidimensionala

The COVID-19 pandemic has swept the world like a tornado, caught unprepared of the Chinese higher education system to adapt to widespread unexpected disruption. It forced university students transfer to mobile learning during epidemic disease …

Block-chain Encryption Search Algorithm for Educational System Using Improved Neural Network

2022

The interconnection of the educational system to the blockchain means the challenge of security, reliability, credibility, and confidentiality of information and data. Information search and data access of blockchain are realized by accessing PHR from …

Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application

2022 · arXiv (Cornell University)

Self-attention mechanisms, especially multi-head self-attention (MSA), have achieved great success in many fields such as computer vision and natural language processing. However, many existing vision transformer (ViT) works simply inherent transformer designs from NLP to …

Design of Portable Sensor Data Storage System Based on Homomorphic Encryption Algorithm

2022

With the development of sensor technology, people put forward a higher level, more diversified demand for portable rangefinders. However, its data storage method has not been developed in a large scale and breakthrough. This paper …

Federated Graph Learning with Cross-subgraph Missing Links Recovery

2023

Federated Graph Learning (FGL) has been developed to enable multiple parties to collaboratively train a graph neural network while maintaining their local graph data. Despite its advantages, FGL is not immune to the issue of …

Contextual Affinity Distillation for Image Anomaly Detection

2023 · arXiv (Cornell University)

Previous works on unsupervised industrial anomaly detection mainly focus on local structural anomalies such as cracks and color contamination. While achieving significantly high detection performance on this kind of anomaly, they are faced with logical …

Topology Abstraction-Based Routing Scheme for Secret-Key Provisioning in Hybrid GEO/LEO Quantum Satellite Networks

2023 · Entropy

Quantum key distribution (QKD) is a promising technique to resist the threat against quantum computers. However, the high loss of quantum signals over a long-distance optical fiber is an obstacle for QKD in the intercontinental …

Adaptive Adversarial Patch Attack on Face Recognition Models

2023

Face recognition models have become widely used for identity authentication in scenarios such as cell phone unlocking and financial payment, but they are vulnerable to adversarial examples. Due to the realizability in the physical world, …

Robust Spoof Speech Detection Based on Multi-Scale Feature Aggregation and Dynamic Convolution

2024

Spoof speech detection (SSD) can help to protect an automatic speaker recognition system against malicious attacks. However, there exists a great diversity in the spoof utterances generated by different text-to-speech and voice conversion algorithms, resulting …

Sifisinger: A High-Fidelity End-to-End Singing Voice Synthesizer Based on Source-Filter Model

2024

This paper presents an advanced end-to-end singing voice synthesis (SVS) system based on the source-filter mechanism that directly translates lyrical and melodic cues into expressive and high-fidelity human-like singing. Similarly to VISinger 2, the proposed …

AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA

2024 · arXiv (Cornell University)

Diffusion models have achieved remarkable success in generating high-quality images. Recently, the open-source models represented by Stable Diffusion (SD) are thriving and are accessible for customization, giving rise to a vibrant community of creators and …

Office Furniture Partition Space Design Based on Intelligent Domain Perception and Digital Twins

2024 · Journal of Advanced Computational Intelligence and Intelligent Informatics

With the increasing focus on sustainable development in society, intelligent domain perception and digital twin technology can be used to evaluate and optimize the design of office furniture. This study analyzed sensor data through machine-learning …

Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection

2024 · arXiv (Cornell University)

Large Language Models (LLMs) have revolutionized text generation, making detecting machine-generated text increasingly challenging. Although past methods have achieved good performance on detecting pure machine-generated text, those detectors have poor performance on distinguishing machine-revised text …

Blockchain-Empowered UAV-Assisted Computation Resource Allocation in Smart Farm Services Platform

2025 · IEEE Access

Unmanned aerial vehicle-to-everything (U2X) communications have become increasingly essential technologies to support multiple delay and computation-sensitive services, including augmented reality (AR), Virtual Reality (VR), digital twins, smart farms, unknown geological exploration, smart manufacturing, etc. Therefore, …

The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models

2025

Ensuring awareness of fairness and privacy in Large Language Models (LLMs) is critical.Interestingly, we discover a counterintuitive trade-off phenomenon that enhancing an LLM's privacy awareness through Supervised Fine-Tuning (SFT) methods significantly decreases its fairness awareness …

A Cultural-Aware Transformer Model for Enhanced English Neural Machine Translation

2025

Machine translation has advanced rapidly with the rise of neural networks, yet it continues to face challenges when dealing with culturally rich content-especially in English, where idioms, regional expressions, humor, and tone significantly influence meaning. …

When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models

2025 · arXiv (Cornell University)

Large Language Models (LLMs) have been augmented with web search to overcome the limitations of the static knowledge boundary by accessing up-to-date information from the open Internet. While this integration enhances model capability, it also …

TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings

2015 · Proceedings of the AAAI Conference on Artificial Intelligence

Collaborative filtering suffers from the problems of data sparsity and cold start, which dramatically degrade recommendation performance. To help resolve these issues, we propose TrustSVD, a trust-based matrix factorization technique. By analyzing the social trust …

A Novel Recommendation Model Regularized with User Trust and Item Ratings

2016 · IEEE Transactions on Knowledge and Data Engineering

We propose TrustSVD, a trust-based matrix factorization technique for recommendations. TrustSVD integrates multiple information sources into the recommendation model in order to reduce the data sparsity and cold start problems and their degradation of recommendation …

Recurrent knowledge graph embedding for effective recommendation

2018

Knowledge graphs (KGs) have proven to be effective to improve recommendation. Existing methods mainly rely on hand-engineered features from KGs (e.g., meta paths), which requires domain knowledge. This paper presents RKGE, a KG embedding approach …