معرفی
Dr. Sinno Jialin Pan is a leading researcher in machine learning and artificial intelligence at Nanyang Technological University, Singapore. His work focuses on domain adaptation, sentiment analysis, and efficient neural network optimization.
- Key research areas: Machine Learning, Domain Adaptation, Reinforcement Learning, Sentiment Analysis
Recent publications demonstrate expertise in time-series classification (2025) using hierarchical domain adaptation, LLM efficiency (2025) through expert pruning, and graph generation (2024) via spectral diffusion. His work spans both theoretical advancements and practical applications in neural architecture optimization and adversarial learning.
Scientific contributions include:
- 2025: Virtual-label hierarchical domain adaptation
- 2024: Spectral diffusion for graph generation
- 2024: Multilingual jailbreak analysis in LLMs
Current trends show increasing focus on large language model optimization and robust neural architectures, with applications in fault diagnosis, recommender systems, and misinformation detection.
