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
49.06/100
前 9.1%
全站排名 #5,827
发表论文7 篇
平均评分
年均产出2.3 篇/年
Feiyang Kang
研究方向
data selection · data influence · data collection/data acquisition · fairness in data curation · large language models (LLM) · training data curation for LLMs · data valuation · trustworthy machine learning · distributional drifts · optimal transport · scaling laws in machine learning · data-driven optimization and control · SLAM and visual navigation · multi-agent systems · cyber-physical systems
7
How Text Quality Interventions Reshape Neural Scaling Laws for LLMs: Empirical Study
ICLR 2026Poster
二作24
Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead
ICLR 2026Poster
一作6
AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Object Detection Training
ICLR 2026Withdrawn
一作