影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
9.9/100
超过 30.8%
全站排名 #44,525
发表论文3 篇
平均评分
年均产出3.0 篇/年
Jingguang Li
研究方向
natural language processing · federated learning · parameter efficient fine-tuning · instruction tuning · computer vision · few-shot learning · continual learning · incremental learning
26
Developmental Federated Tuning: A Cognitive-Inspired Paradigm for Efficient LLM Adaptation
ICLR 2026Poster
二作22
Prune to Fit: Enabling Federated Fine-Tuning within Edge Memory Budgets
ICLR 2026Rejected
二作5
Elastic Mixture of Rank-Wise Experts for Knowledge Reuse in Federated Fine-Tuning
ICLR 2026Withdrawn
二作