17 citations · 30 across the 14 of their papers we have counts for
14 papers
HeroNet: A Hybrid Retrieval-Generation Network for Conversational Bots
Bolin Zhang, Yunzhe Xu, Zhiying Tu +1
Using natural language, Conversational Bot offers unprecedented ways to many challenges in areas such as information searching, item recommendation, and question answering. Existin…
Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network
Mingyi Liu, Zhiying Tu, Xiaofei Xu +1
Temporal graph neural network has recently received significant attention due to its wide application scenarios, such as bioinformatics, knowledge graphs, and social networks. Ther…
RescureService: A Benchmark Microservice System for the Research of Mobile Edge and Cloud Computing
Xiang He, Teng Wang, Lei Liu +6
The dramatic development of cloud and edge computing allows for better Quality of Service (QoS) in many scenarios by deploying services on cloud and edge servers. Microservice tech…
Requirements Elicitation in Cognitive Service for Recommendation
Bolin Zhang, Zhiying Tu, Yunzhe Xu +2
Nowadays, cognitive service provides more interactive way to understand users' requirements via human-machine conversation. In other words, it has to capture users' requirements fr…
Data Correction and Evolution Analysis of the ProgrammableWeb Service Ecosystem
Mingyi Liu, Zhiying Tu, Yeqi Zhu +3
The evolution analysis on Web service ecosystems has become a critical problem as the frequency of service changes on the Internet increases rapidly. Developers need to understand…
DySR: A Dynamic Representation Learning and Aligning based Model for Service Bundle Recommendation
Mingyi Liu, Zhiying Tu, Xiaofei Xu +1
An increasing number and diversity of services are available, which result in significant challenges to effective reuse service during requirement satisfaction. There have been man…
Online Deployment Algorithms for Microservice Systems with Complex Dependencies
Xiang He, Zhiying Tu, Markus Wagner +2
Cloud and edge computing have been widely adopted in many application scenarios. With the increasing demand of fast iteration and complexity of business logic, it is challenging to…
External Service Sensing (ESS): Research Framework, Challenges and Opportunities
Zhongjie Wang, Mingyi Liu, Zhiying Tu +1
The flourish of web-based services gave birth to the research area \textit{services computing}, a rapidly-expanding academic community since nearly 20 years ago. Consensus has been…
Learning Representation over Dynamic Graph using Aggregation-Diffusion Mechanism
Mingyi Liu, Zhiying Tu, Xiaofei Xu +1
Representation learning on graphs that evolve has recently received significant attention due to its wide application scenarios, such as bioinformatics, knowledge graphs, and socia…
Domain Priori Knowledge based Integrated Solution Design for Internet of Services
Hanchuan Xu, Xiao Wang, Yuxin Wang +4
Various types of services, such as web APIs, IoT services, O2O services, and many others, have flooded on the Internet. Interconnections among these services have resulted in a new…
User Intention Recognition and Requirement Elicitation Method for Conversational AI Services
Junrui Tian, Zhiying Tu, Zhongjie Wang +2
In recent years, chat-bot has become a new type of intelligent terminal to guide users to consume services. However, it is criticized most that the services it provides are not wha…
Community-Based Service Ecosystem Evolution Analysis
Mingyi Liu, Zhiying Tu, Xiaofei Xu +1
The prosperity of services and the frequent interaction between services contribute to the formation of the service ecosystem. Service ecosystem is a complex dynamic system with co…
A Data-driven Approach for Constructing Multilayer Network-based Service Ecosystem Models
Mingyi Liu, Zhiying Tu, Xiaofei Xu +1
Services are flourishing drastically both on the Internet and in the real world. Additionally, services have become much more interconnected to facilitate transboundary business co…
LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition
Mingyi Liu, Zhiying Tu, Tong Zhang +2
In recent years, deep learning has achieved great success in many natural language processing tasks including named entity recognition. The shortcoming is that a large amount of ma…