Naiyu Yin

11 papers A* 3Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning Causal Graphs at Scale: A Foundation Model Approach.
CoRR
Naiyu Yin, Tian Gao, Yue Yu
2024 A* conf
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model.
AAAI
Naiyu Yin, Tian Gao, Yue Yu, Qiang Ji
2024 — conf
Efficient Nonlinear DAG Learning Under Projection Framework.
ICPR (6)
Naiyu Yin, Yue Yu, Tian Gao, Qiang Ji
2024 — conf
Integrating Markov Blanket Discovery Into Causal Representation Learning for Domain Generalization.
ECCV (10)
Naiyu Yin, Hanjing Wang, Yue Yu, Tian Gao, Amit Dhurandhar, Qiang Ji
2023 J jnl
Causal Discovery under Identifiable Heteroscedastic Noise Model.
CoRR
Naiyu Yin, Tian Gao, Yue Yu, Qiang Ji
2022 A* conf
Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data.
IJCAI
Zijun Cui, Naiyu Yin, Yuru wang, Qiang Ji
2022 J jnl
Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data.
CoRR
Zijun Cui, Naiyu Yin, Yuru wang, Qiang Ji
2021 A* conf
DAGs with No Curl: An Efficient DAG Structure Learning Approach.
ICML
Yue Yu, Tian Gao, Naiyu Yin, Qiang Ji
2021 J jnl
DAGs with No Curl: An Efficient DAG Structure Learning Approach.
CoRR
Yue Yu, Tian Gao, Naiyu Yin, Qiang Ji
2017 J jnl
A region-based intra-frame rate control scheme by jointing inter-frame dependency and inter-frame correlation.
Multim. Tools Appl.
Hai-Miao Hu, Mingliang Zhou, Yang Liu, Naiyu Yin
2017 J jnl
Cascades Tolerance of Scale-Free Networks with Attack Cost.
Int. J. Comput. Intell. Syst.
Chen Hong, Naiyu Yin, Ning He, Oriol Lordan, Jose Maria Sallan