About
6
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Introduction
PhD student at The University of Manchester, fully funded by the President's Doctoral Scholar Award. The current research focus is on the application of large language models and the use of AI models in computational chemistry and cheminformatics, as well as bioinformatics, especially the application of graph neural networks and language models in drug repurposing and AI4Science.
Current institution
Additional affiliations
July 2024 - December 2024
September 2020 - June 2024
Education
December 2024
September 2020 - June 2024
Publications
Publications (6)
With the rapid advancement of flexible manufacturing in the Industrial Internet of Things (IIoT), there has been a significant increase in the number of IIoT devices and application software aimed at meeting various needs. The software defects may lead to delays or crashes in flexible manufacturing system, thereby affecting the production schedule....
Code completion, which provides code suggestions by generating code snippets or structures, has become an essential feature of integrated development environments (IDEs). Recently, some studies have begun to use graph neural networks to complete AST-level code, and shown that it is promising to introduce GNNs into AST-level completion. However, the...
Origin-Destination (OD) Matrix Prediction is an important part of public transportation service which aims to predict the number of passenger demands from one region to another and capture the passengers’ mobility patterns. This problem is challenging because it requires forecasting not only the number of demands within a region, but the origin and...
The Internet of Things (IoT) is a revolutionary network of interconnected devices embedded with sensors and software that enables seamless communication, data sharing, and intelligent decision-making in the form of IoT services. To facilitate the efficient development of IoT services, code completion technique provides a promising solution by provi...
Origin-Destination(OD) Matrix Prediction is an important part of public transportation service which aims to predict the number of passenger demands from one region to another and capture the passengers' mobility patterns. This problem is challenging because it requires forecasting not only the number of demands within a region, but the origin and...
Origin-Destination Convolution Recurrent Network: A Novel OD Matrix Prediction Framework.
This presentation is made for CollaborateCom 2023, and Tian Liang is the speaker of this slide.
