A Teaching App to Demonstrate Hebb’s Learning Rule
Li, J. (2021). A Teaching App to Demonstrate Hebb's Learning Rule. Bachelor thesis, University of Liverpool.
CV
Education
- B.S. in Computer Science and Engineering, University of Liverpool, 2021
- M.S. in Scientific and Data-intensive Computing, University College London, 2022
Work experience
- 2023-2024: Research Assistant
- Hong Kong University of Science and technology
- Duties included: Research
- Supervisor: Professor Dit-Yan
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Principal Component Analysis Machine Learning to Determine Membership of Globular Cluster M56
Li, J. (2022). Principal Component Analysis Machine Learning to Determine Membership of Globular Cluster M56. Master thesis, University College London.
MGTST: Multi-scale and Cross-channel Gated Transformer for Multivariate Long-term Time-series Forecasting
Li, J., Zhou, Z., & Yeung, D.Y. (2024). MGTST: Multi-scale and Cross-channel Gated Transformer for Multivariate Long-term Time-series Forecasting.
Genbench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models
Liu, Z., Li, J., Li, S., Zang, Z., Tan, C., Huang, Y., Bai, Y., & Li, S.Z. (2024). Genbench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models. arXiv preprint arXiv:2406.01627.
Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges
Lu, H., Fang, L., Zhang, R., et al. (2025). Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges. arXiv preprint arXiv:2507.19672.
Peak-R1: Instruction-Tuned Large Language Models for Robust J-Peak Detection in Cardiomechanical Signals
Li, J., Zhang, Y., Zeng, Z., Chen, J., Zhang, X., Lu, J., Song, W.Z., & Dou, F. (2025). Peak-R1: Instruction-Tuned Large Language Models for Robust J-Peak Detection in Cardiomechanical Signals. NeurIPS 2025 Workshop on Learning from Time Series for Health.
Talks
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams