Research output per year
Research output per year
Personal profile
Biography
Tian Liang is a President's Doctoral Scholar (PDS) Award-funded PhD student in the School of Health Sciences. He received a BEng degree in software engineering from Central South University in 2024, mainly working on natural language processing, code generation, and large language models. His current research, supervised by Dr. Richard Bryce, investigates the application of machine learning in AI drug design and molecular simulations.
Research interests
My research interests lie in using deep learning methods to construct better molecular representations and AI-driven drug design processes while exploring the integration of AI techs, such as large language models, into computational tasks in biology and chemistry.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Bachelor of Engineering, software engineering, Central South University
1 Sept 2020 → 30 Jun 2024
Award Date: 30 Jun 2024
Areas of expertise
- QA75 Electronic computers. Computer science
- Deep Learning
- Natural Language Processing
- Representation Learning
Keywords
- AI for Science
- Computational Chemistry
- Machine Learning
- Deep Learning
- Natural Language Processing
- AI4SE
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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ChatDL: An LLM-Based Defect Localization Approach for Software in IIoT Flexible Manufacturing
Yang, H., Zhou, Y., Liang, T. & Kuang, L., 20 Jan 2025, In: IEEE Internet of Things Journal.Research output: Contribution to journal › Article › peer-review
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Improving AST-Level Code Completion with Graph Retrieval and Multi-Field Attention
Xia, Y., Liang, T., Min, W. & Kuang, L., 15 Apr 2024, ICPC '24: Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Origin-Destination Convolution Recurrent Network: A Novel OD Matrix Prediction Framework
Chang, J., Liang, T., Xiao, W. & Kuang, L., 23 Feb 2024, Collaborative Computing: Networking, Applications and Worksharing. LNICST: Springer Cham, Vol. 562. p. 131 150 p.Research output: Chapter in Book/Conference proceeding › Chapter › peer-review
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Enhancing intelligent IoT services development by integrated multi-token code completion
Xia, Y., Liang, T., Min, W., Kuang, L. & Gao, H., 24 Oct 2023, In: Computer Communications.Research output: Contribution to journal › Article › peer-review
Prizes
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President's Doctoral Scholar Award
Liang, T. (Recipient), 26 Apr 2024
Prize: Prize (including medals and awards)