Scholar
Lei Ma
Google Scholar ID: xsfGc58AAAAJ
Associate Professor, The University of Tokyo, Japan & University of Alberta, Canada
Citations & Impact
Citations
11,142
H-index
51
i10-index
137
Publications
20
Co-authors
17
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- 1. Paper 'Active Code Learning: Benchmarking Sample-Efficient Training of Code Models' accepted at IEEE Transactions on Software Engineering (TSE).
- 2. Paper 'PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement' accepted at ACM CHI 2024.
- 3. Paper 'ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning' accepted at ICRA 2024.
- 4. Papers 'LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks' and 'Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization' accepted at ICLR 2024.
- 5. Paper 'MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems' accepted at ICSE 2024.
- 6. Paper 'LUNA: A Model-Based Universal Analysis Framework for Large Language Models' available on Arxiv.
- 7. Paper 'Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models' available on Arxiv.
Research Experience
- Currently an Associate Professor at The University of Tokyo (Japan) and the University of Alberta (Canada). Leads a research group that continuously recruits PhD, MSc, and postdoc candidates.
Education
- Educational background information is not provided.
Background
- Research interests include, but are not limited to, code learning, multi-modal prompting, and the analysis and improvement of behaviors in large language models. Has a strong self-motivation and will to achieve.
Miscellany
- Welcomes students with relevant backgrounds and strong self-motivation to apply and join the research team.
