Xi Chen

The Method and Its Application of Project Management Modeling in Whole Life Cycle

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

Project management is the application of knowledge, skills, tools and techniques to project activities, in order to meet the project requirements. As long as the project requirements become more complex and volatile in the university, …

Data Flow-Oriented Multi-Path Semantic Web Service Composition Using Extended SPARQL

2017

Semantic Web approaches are often used for Web service description, modeling, semantics discovery, capabilities matching, etc. However, as the primary querying tool for Semantic Web, SPARQL is yet to be deeply explored to support Semantic …

Dual sub-swarm interaction QPSO algorithm based on different correlation coefficients

2017 · Automatika

A novel quantum-behaved particle swarm optimization (QPSO) algorithm, the dual sub-swarm interaction QPSO algorithm based on different correlation coefficients (DCC-QPSO), is proposed by constructing master-slave sub-swarms with different potential well centres. In the novel algorithm, …

Deep Learning by Doing: The NVIDIA Deep Learning Institute and University Ambassador Program

2019 · The Journal of Computational Science Education

Over the past two decades, High-Performance Computing (HPC) communities have developed many models for delivering education aiming to help students understand and harness the power of parallel and distributed computing. Most of these courses either …

Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks

2019

Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang, Huajun Chen. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 …

Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge

2020

Bayesian neural networks (BNNs) have received more and more attention because they are capable of modeling epistemic uncertainty which is hard for conventional neural networks. Markov chain Monte Carlo (MCMC) methods and variational inference (VI) …

Evaluation of Remote Sensing Techniques for Lithological Mapping in the Southeastern Pamir using Landsat 8 OLI Data

2018 · International Journal of Geoinformatics

In this study we test the Landsat 8 OLI data potential for lithological mapping in the Southeastern Pamir. Discrimination of lithological units in the study area has been carried out by utilizing Landsat 8 OLI …

Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey

2022 · arXiv (Cornell University)

In recent years, the prevalent online services generate a sheer volume of user activity data. Service providers collect these data in order to perform client behavior analysis, and offer better and more customized services. Majority …

Multi-classification assessment of personal credit risk based on stacking integration

2022 · Procedia Computer Science

In the multi-category assessment of personal credit risk, the prediction accuracy of a single classifier is often low, and each category cannot be well distinguished. In this paper, the stacking ensemble algorithm is used to …

Enterprise data security compliance strategy: A study based on typical cases

2023 · SHS Web of Conferences

Data security compliance management is the fundamental premise that data application does not infringe on the interests of countries, enterprises and individuals. It is an important foundation for realizing the driving role of data elements. …

Redactable Blockchain with K-Time Controllable Editing

2022

Considering the immutability of traditional blockchain restricts the governance and regulation of sensitive data on chain, this paper proposes a redactable blockchain scheme with k-time controllable cheating editing (CCE-RB for short). In the CCE-RB scheme, …

Accelerating Level-Value Adjustment for the Polyak Stepsize

2023 · arXiv (Cornell University)

The Polyak stepsize has been widely used in subgradient methods for non-smooth convex optimization. However, calculating the stepsize requires the optimal value, which is generally unknown. Therefore, dynamic estimations of the optimal value are usually …

Distributed Tensor Principal Component Analysis with Data Heterogeneity

2024 · arXiv (Cornell University)

As tensors become widespread in modern data analysis, Tucker low-rank Principal Component Analysis (PCA) has become essential for dimensionality reduction and structural discovery in tensor datasets. Motivated by the common scenario where large-scale tensors are …

Variational quantum compiling for three-qubit gates design in quantum dots

2024 · arXiv (Cornell University)

Semiconductor quantum dots offer a promising platform for controlling spin qubits and realizing quantum logic gates, essential for scalable quantum computing. In this work, we utilize a variational quantum compiling algorithm to design efficient three-qubit …

Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding

2018

Distant supervision is an effective method to generate large scale labeled data for relation extraction, which assumes that if a pair of entities appears in some relation of a Knowledge Graph (KG), all sentences containing …

Gemini: A Family of Highly Capable Multimodal Models

2023 · arXiv (Cornell University)

This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging …