Haoyue Dai - RankMe

26 papers A* 8A 3Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distributional Equivalence in Linear Non-Gaussian Latent-Variable Cyclic Causal Models: Characterization and Learning. CoRR Haoyue Dai, Immanuel Albrecht, Peter Spirtes, Kun Zhang
2025	J	`jnl`	Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data. CoRR Gongxu Luo, Loka Li, Guangyi Chen, Haoyue Dai, Kun Zhang
2025	J	`jnl`	Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders. CoRR Gongxu Luo, Haoyue Dai, Boyang Sun, Loka Li, Biwei Huang, Petar Stojanov, Kun Zhang
2025	J	`jnl`	Identification of Causal Direction under an Arbitrary Number of Latent Confounders. CoRR Wei Chen, Linjun Peng, Zhiyi Huang, Haoyue Dai, Zhifeng Hao, Ruichu Cai, Kun Zhang
2025	A*	`conf`	Latent Variable Causal Discovery under Selection Bias. ICML Haoyue Dai, Yiwen Qiu, Ignavier Ng, Xinshuai Dong, Peter Spirtes, Kun Zhang
2025	J	`jnl`	Latent Variable Causal Discovery under Selection Bias. CoRR Haoyue Dai, Yiwen Qiu, Ignavier Ng, Xinshuai Dong, Peter Spirtes, Kun Zhang
2025	J	`jnl`	Permutation-Based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data. CoRR Xinshuai Dong, Ignavier Ng, Boyang Sun, Haoyue Dai, Guang-Yuan Hao, Shunxing Fan, Peter Spirtes, Yumou Qiu, Kun Zhang
2025	A*	`conf`	Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data. ICML Xinshuai Dong, Ignavier Ng, Boyang Sun, Haoyue Dai, Guang-Yuan Hao, Shunxing Fan, Peter Spirtes, Yumou Qiu, Kun Zhang
2025	J	`jnl`	Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models. CoRR Xinshuai Dong, Ignavier Ng, Haoyue Dai, Jiaqi Sun, Xiangchen Song, Peter Spirtes, Kun Zhang
2025	A	`conf`	Type Information-Assisted Self-Supervised Knowledge Graph Denoising. AISTATS Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang
2025	J	`jnl`	Type Information-Assisted Self-Supervised Knowledge Graph Denoising. CoRR Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang
2025	A*	`conf`	When Selection Meets Intervention: Additional Complexities in Causal Discovery. ICLR Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang
2025	J	`jnl`	When Selection Meets Intervention: Additional Complexities in Causal Discovery. CoRR Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang
2024	A*	`conf`	Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View. ICLR Haoyue Dai, Ignavier Ng, Gongxu Luo, Peter Spirtes, Petar Stojanov, Kun Zhang
2024	J	`jnl`	Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View. CoRR Haoyue Dai, Ignavier Ng, Gongxu Luo, Peter Spirtes, Petar Stojanov, Kun Zhang
2024	A	`conf`	Local Causal Discovery with Linear non-Gaussian Cyclic Models. AISTATS Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang
2024	J	`jnl`	Local Causal Discovery with Linear non-Gaussian Cyclic Models. CoRR Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang
2024	A*	`conf`	On Causal Discovery in the Presence of Deterministic Relations. NeurIPS Loka Li, Haoyue Dai, Hanin Al Ghothani, Biwei Huang, Jiji Zhang, Shahar Harel, Isaac Bentwich, Guangyi Chen, Kun Zhang
2024	J	`jnl`	On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors. CoRR Xinshuai Dong, Haoyue Dai, Yewen Fan, Songyao Jin, Sathyamoorthy Rajendran, Kun Zhang
2024	A*	`conf`	Score-Based Causal Discovery of Latent Variable Causal Models. ICML Ignavier Ng, Xinshuai Dong, Haoyue Dai, Biwei Huang, Peter Spirtes, Kun Zhang
2023	A	`conf`	ML4C: Seeing Causality Through Latent Vicinity. SDM Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2022	A*	`conf`	Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models. NeurIPS Haoyue Dai, Peter Spirtes, Kun Zhang
2022	J	`jnl`	Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models. CoRR Haoyue Dai, Peter Spirtes, Kun Zhang
2022	A*	`conf`	ML4S: Learning Causal Skeleton from Vicinal Graphs. KDD Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
2021	J	`jnl`	ML4C: Seeing Causality Through Latent Vicinity. CoRR Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2020	J	`jnl`	What do CNN neurons learn: Visualization & Clustering. CoRR Haoyue Dai