What do CNN neurons learn: Visualization & Clustering. - Haoyue Dai (CoRR, 2020)

ML4S: Learning Causal Skeleton from Vicinal Graphs. - Pingchuan Ma 004; Rui Ding 001; Haoyue Dai; Yuanyuan Jiang; Shuai Wang 011; Shi Han; Dongmei Zhang 001 (KDD, 2022)

Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models. - Haoyue Dai; Peter Spirtes; Kun Zhang 001 (NeurIPS, 2022)

ML4C: Seeing Causality Through Latent Vicinity. - Haoyue Dai; Rui Ding 001; Yuanyuan Jiang; Shi Han; Dongmei Zhang 001 (SDM, 2023)

Local Causal Discovery with Linear non-Gaussian Cyclic Models. - Haoyue Dai; Ignavier Ng; Yujia Zheng 001; Zhengqing Gao; Kun Zhang 001 (AISTATS, 2024)

Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View. - Haoyue Dai; Ignavier Ng; Gongxu Luo; Peter Spirtes; Petar Stojanov; Kun Zhang 001 (ICLR, 2024)

Score-Based Causal Discovery of Latent Variable Causal Models. - Ignavier Ng; Xinshuai Dong; Haoyue Dai; Biwei Huang; Peter Spirtes; Kun Zhang 001 (ICML, 2024)

On Causal Discovery in the Presence of Deterministic Relations. - Loka Li; Haoyue Dai; Hanin Al Ghothani; Biwei Huang; Jiji Zhang; Shahar Harel; Isaac Bentwich; Guangyi Chen 002; Kun Zhang 001 (NeurIPS, 2024)

On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors. - Xinshuai Dong; Haoyue Dai; Yewen Fan; Songyao Jin; Sathyamoorthy Rajendran; Kun Zhang 001 (CoRR, 2024)

Type Information-Assisted Self-Supervised Knowledge Graph Denoising. - Jiaqi Sun; Yujia Zheng 001; Xinshuai Dong; Haoyue Dai; Kun Zhang 001 (AISTATS, 2025)

When Selection Meets Intervention: Additional Complexities in Causal Discovery. - Haoyue Dai; Ignavier Ng; Jianle Sun; Zeyu Tang 002; Gongxu Luo; Xinshuai Dong; Peter Spirtes; Kun Zhang 001 (ICLR, 2025)

Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders. - Gongxu Luo; Haoyue Dai; Boyang Sun; Loka Li; Biwei Huang; Petar Stojanov; Kun Zhang 001 (CoRR, 2025)

Permutation-Based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data. - Xinshuai Dong; Ignavier Ng; Boyang Sun; Haoyue Dai; Guang-Yuan Hao; Shunxing Fan; Peter Spirtes; Yumou Qiu; Kun Zhang 001 (CoRR, 2025)