Jie Li

LSKA: Location Similarity Based Key Agreement Scheme for Smartphone Networks

2016

With the recent popularization of smartphones, more attention has been given to design dynamic keys for smartphone communications. In this paper, we particularly work to meet the requirement of encrypted information sharing among closely located …

Coflow-aware dynamic routing for SDN-based data center networks

2017

A lot of research has been proposed to improve network performance in the data center. However, with the development of distributed applications, these applications face a new performance bottleneck since existing solutions almost ignore the …

An Improved Strong Tracking Cubature Kalman Filter for GPS/INS Integrated Navigation Systems

2018 · Sensors

The cubature Kalman filter (CKF) is widely used in the application of GPS/INS integrated navigation systems. However, its performance may decline in accuracy and even diverge in the presence of process uncertainties. To solve the …

Dynamic Traffic Feature Camouflaging via Generative Adversarial Networks

2019

Traffic analysis attacks, including website fingerprinting and protocol fingerprinting, are widely adopted by Internet censorship to block a specific type of traffic. To mitigate these attacks, some advanced approaches such as traffic morphing and protocol …

Sampling and inspection of dose and mechanical properties of medical linear accelerators in grass-roots radiotherapy units in Sichuan Province, China

2016 · Zhonghua fangshe zhongliuxue zazhi

Objective To investigate the dose and mechanical properties of medical electron linear accelerators in grass-roots radiotherapy units in Sichuan Province, China via sampling and inspection. Methods A total of eight radiotherapy units in Sichuan Province …

Detection of the Rail Profile Wear Based on Image Processing

2020 · 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS)

For the rail head wear detection, the feasibility of collecting rail images by CCD camera is analyzed. MATLAB image processing technology is used to establish the calculation model of rail wear measurement. By using the …

Direct and indirect reinforcement learning

2021 · International Journal of Intelligent Systems

Reinforcement learning (RL) algorithms have been successfully applied to a range of challenging sequential decision-making and control tasks. In this paper, we classify RL into direct and indirect RL according to how they seek the …

Performance Analysis of Multipath BGP

2021

Multipath BGP (M-BGP) allows a BGP router to install multiple `equally-good' paths, via parallel inter-domain border links, to a destination prefix. M-BGP differs from the multipath routing techniques in many ways, e.g. M-BGP is only …

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides

2021 · Frontiers in Oncology

Objectives To develop and validate a deep learning (DL)-based primary tumor biopsy signature for predicting axillary lymph node (ALN) metastasis preoperatively in early breast cancer (EBC) patients with clinically negative ALN. Methods A total of …

Private and Secure Distributed Matrix Multiplication Schemes for Replicated or MDS-Coded Servers

2022 · IEEE Transactions on Information Forensics and Security

In this paper, we study the problem ofprivate and secure distributed matrix multiplication (PSDMM), where a user having a private matrix$A$and$N$non-colluding servers sharing a library of$L$($L>1$) matrices$B^{(0)}, B^{(1)},\ldots,B^{(L-1)}$, for which the user wishes to compute$AB^{(\theta)}$for …

Blockchain-based Secure Outsourcing Data Integrity Auditing for Internet of Things in Cloud-edge Environment

2022

Internet of Things enables devices to communicate, collect and exchange data with the network. As the number of IoT devices keeps growing, the volume of data they produce is also increasing exponentially. Given the feature …

Robust and Communication-Efficient Federated Domain Adaptation via Random Features

2023 · arXiv (Cornell University)

Modern machine learning (ML) models have grown to a scale where training them on a single machine becomes impractical. As a result, there is a growing trend to leverage federated learning (FL) techniques to train …

A Convolutional Neural Network Accelerator with High-level Synthesis

2024

The use of hardware description languages (HDLs) and the implementation of techniques like pipelining and dataflow optimization significantly increase the complexity of designing field-programmable gate arrays (FPGAs). This added complexity poses challenges in translating hardware …

Array Equivalent Circuit Model and Experimental Analysis of Square CMUTs

2024 · IEEE Sensors Journal

The equivalent circuit is a commonly used tool for performance analysis during capacitive micromachined ultrasonic transducer (CMUT) design and optimization. In this study, the immersion equivalent circuit model of a square CMUT array is established …

Session-Oriented Fairness-Aware Recommendation via Dual Temporal Convolutional Networks

2024 · IEEE Transactions on Knowledge and Data Engineering

Session-based Recommender Systems (SBRSs) aim at timely predicting the next likely item by capturing users’ current preferences in sessions. Existing SBRSs research only focuses on maximizing session utilities, and little has been done on the …

A Deep Learning-Based Thermal Prediction Approach for Energy Management in Cloud Data Centers

2024

Escalating host temperatures in data centers can create hot spots, significantly boosting cooling costs and impacting reliability. Accurately predicting host temperatures is of the utmost importance in managing resources effectively. Existing temperature estimation solutions are …

TELEVAL: A Dynamic Benchmark Designed for Spoken Language Models in Chinese Interactive Scenarios

2025 · arXiv (Cornell University)

Spoken language models (SLMs) have advanced rapidly in recent years, accompanied by a growing number of evaluation benchmarks. However, most existing benchmarks emphasize task completion and capability scaling, while remaining poorly aligned with how users …