AI meets database: AI4DB and DB4AI

G Li, X Zhou, L Cao - Proceedings of the 2021 International Conference …, 2021 - dl.acm.org
Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can
make database more intelligent (AI4DB). For example, traditional empirical database …

Database meets artificial intelligence: A survey

X Zhou, C Chai, G Li, J Sun - IEEE Transactions on Knowledge …, 2020 - ieeexplore.ieee.org
Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can
make database more intelligent (AI4DB). For example, traditional empirical database …

Mental health support and its relationship to linguistic accommodation in online communities

E Sharma, M De Choudhury - Proceedings of the 2018 CHI conference …, 2018 - dl.acm.org
Many online communities cater to the critical and unmet needs of individuals challenged
with mental illnesses. Generally, communities engender characteristic linguistic practices …

A cloud-scale characterization of remote procedure calls

K Seemakhupt, BE Stephens, S Khan, S Liu… - Proceedings of the 29th …, 2023 - dl.acm.org
The global scale and challenging requirements of modern cloud applications have led to the
development of complex, widely distributed, service-oriented applications. One enabler of …

Understanding peace through the world news

V Voukelatou, I Miliou, F Giannotti, L Pappalardo - EPJ data science, 2022 - epjds.epj.org
Peace is a principal dimension of well-being and is the way out of inequity and violence.
Thus, its measurement has drawn the attention of researchers, policymakers, and …

Data lakehouse-a novel step in analytics architecture

D Oreščanin, T Hlupić - 2021 44th International Convention on …, 2021 - ieeexplore.ieee.org
Data Lakes, as a modern concept of raw analytical data storage, were presented as a next
step that will take over Data Warehouses. In the course of time after the Data Lakes …

A syntax-guided multi-task learning approach for Turducken-style code generation

G Yang, Y Zhou, X Chen, X Zhang, Y Xu, T Han… - Empirical Software …, 2023 - Springer
Due to the development of pre-trained language models, automated code generation
techniques have shown great promise in recent years. However, the generated code will not …

MalWuKong: Towards Fast, Accurate, and Multilingual Detection of Malicious Code Poisoning in OSS Supply Chains

N Li, S Wang, M Feng, K Wang… - 2023 38th IEEE/ACM …, 2023 - ieeexplore.ieee.org
In the face of increased threats within software registries and management systems, we
address the critical need for effective malicious code detection. In this paper, we propose an …

Energy optimisation in cloud datacentres with mc-tide: mixed channel time-series dense encoder for workload forecasting

H Zheng, Y Lu, Z Sun, J Panneerselvam, X Sun, L Liu - Applied Energy, 2024 - Elsevier
Cloud computing is an integral component of modern IT infrastructure and addressed as an
energy consumer due to its increasing utilisation. Cloud workload prediction is regarded as …

Loggrep: Fast and cheap cloud log storage by exploiting both static and runtime patterns

J Wei, G Zhang, J Chen, Y Wang, W Zheng… - Proceedings of the …, 2023 - dl.acm.org
In cloud systems, near-line logs are mainly used for debugging, which means they prefer a
low query latency for a better user experience, and like any other logs, they also prefer a low …