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
9.5/100
超过 29.5%
全站排名 #45,357
发表论文4 篇
平均评分
年均产出4.0 篇/年
Jing Gao
研究方向
Truth discovery · Knowledge graph · Multi-source data analysis · Transfer learning · Text mining · Data stream mining · Anomaly detection · Data and model efficiency · Data poisoning attack · Fairness · Interpretation · Federated learning · Large language model · Knowledge editing
29
Towards Poisoning Fair Representations
ICLR 2024Poster
通讯16
Fair Adversarial Training: on the Adversarial Attack and Defense of Fairness
ICLR 2024Rejected
三作13
FedBiOT: a solution for federated large language model fine-tuning with intellectual property protection
ICLR 2024Rejected
通讯5
One Training Fits All: Addressing Model-Heterogeneity Federated Learning via Architecture Probing
ICLR 2024Withdrawn
通讯