Bo Jiang

Teaching Reformation and Practice on Mechanical Principle Course in Civilian-Run Colleges

2017 · Advances in computer science research

Combine with the requisition of mechanical engineering subject and education mode of civilian-run colleges, The reformation and exploration of mechanical principle course is carry out in optimizing teaching content, stimulating study interest of student, enhancing …

Covert Cycle Stealing in a Single FIFO Server

2020 · arXiv (Cornell University)

Consider a setting where Willie generates a Poisson stream of jobs and routes them to a single server that follows the first-in first-out discipline. Suppose there is an adversary Alice, who desires to receive service …

RobustGCNs: Robust Norm Graph Convolutional Networks in the Presence of Node Missing Data and Large Noises

2020 · arXiv (Cornell University)

Graph Convolutional Networks (GCNs) have been widely studied for attribute graph data representation and learning. In many applications, graph node attribute/feature may contain various kinds of noises, such as gross corruption, outliers and missing values. …

Deep Learning-Based Service Discovery for Business Process Re-Engineering in the Era of Big Data

2020 · International Journal of Big Data Intelligence and Applications

In recent years, business process re-engineering has played an important role in the development of large-scale web-based applications. To re-engineer business processes, business services are developed and coordinated by reusing a set of open APIs …

WANA: Symbolic Execution of Wasm Bytecode for Extensible Smart Contract Vulnerability Detection

2021 · 2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)

Many popular blockchain platforms support smart contracts for building decentralized applications. However, the vulnerabilities within smart contracts have demonstrated to lead to serious financial loss to their end users. In particular, the smart contracts on …

Robust Graph Data Learning via Latent Graph Convolutional Representation

2019 · arXiv (Cornell University)

Graph Convolutional Representation (GCR) has achieved impressive performance for graph data representation. However, existing GCR is generally defined on the input fixed graph which may restrict the representation capacity and also be vulnerable to the …

Graph Edge Representation via Tensor Product Graph Convolutional Representation

2024 · arXiv (Cornell University)

Graph Convolutional Networks (GCNs) have been widely studied. The core of GCNs is the definition of convolution operators on graphs. However, existing Graph Convolution (GC) operators are mainly defined on adjacency matrix and node features …

Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms

2024 · arXiv (Cornell University)

Human Action Recognition (HAR) stands as a pivotal research domain in both computer vision and artificial intelligence, with RGB cameras dominating as the preferred tool for investigation and innovation in this field. However, in real-world …

A data association approach based on the MHSDA algorithm for passive optical sensors with partially overlapped field of view

2024

This paper focus on solving the data association problem for passive optical sensors with partially overlapped field of view (FoV). Utilizing multiple sensors can expand the monitoring range of surveillance systems. In order to ensure …

Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models

2025

Language models (LMs) rely on their parametric knowledge augmented with relevant contextual knowledge for certain tasks, such as question answering.However, the contextual knowledge can contain private information that may be leaked when answering queries, and …

Hadoop Scheduling Base On Data Locality

2015 · arXiv (Cornell University)

In hadoop, the job scheduling is an independent module, users can design their own job scheduler based on their actual application requirements, thereby meet their specific business needs. Currently, hadoop has three schedulers: FIFO, computing …