activity
20172023
most citedPatents and intellectual property assets as non-fungible tokens: key technologies and challenges

263 citations · 315 across the 6 of their papers we have counts for

collaborators

6 papers

q-fin.GN2023★ 263 cited

Patents and intellectual property assets as non-fungible tokens: key technologies and challenges

Seyed Mojtaba Hosseini Bamakan, Nasim Nezhadsistani, Omid Bodaghi +1

With the explosive development of decentralized finance, we witness a phenomenal growth in tokenization of all kinds of assets, including equity, funds, debt, and real estate. By t…

cs.DC2020★ 4 cited

An Experimental Study on Microservices based Edge Computing Platforms

Qian Qu, Ronghua Xu, Seyed Yahya Nikouei +1

The rapid technological advances in the Internet of Things (IoT) allows the blueprint of Smart Cities to become feasible by integrating heterogeneous cloud/fog/edge computing parad…

cs.IR2019★ 1 cited

NAIRS: A Neural Attentive Interpretable Recommendation System

Shuai Yu, Yongbo Wang, Min Yang +3

In this paper, we develop a neural attentive interpretable recommendation system, named NAIRS. A self-attention network, as a key component of the system, is designed to assign att…

cs.DB2018★ 12 cited

A Blockchain Database Application Platform

Muhammad Muzammal, Qiang Qu, Bulat Nasrulin +1

A blockchain is a decentralised linked data structure that is characterised by its inherent resistance to data modification, but it is deficient in search queries, primarily due to…

cs.SI2018★ 3 cited

GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding

Wenyu Du, Shuai Yu, Min Yang +2

In this paper, we propose GPSP, a novel Graph Partition and Space Projection based approach, to learn the representation of a heterogeneous network that consists of multiple types…

cs.CL2017★ 32 cited

Generative Adversarial Network for Abstractive Text Summarization

Linqing Liu, Yao Lu, Min Yang +3

In this paper, we propose an adversarial process for abstractive text summarization, in which we simultaneously train a generative model G and a discriminative model D. In particul…