Gao, Erdun

10 publications

ICLR 2026 ActiveCQ: Active Estimation of Causal Quantities Erdun Gao, Dino Sejdinovic

ICLR 2026 Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning Yuhang Liu, Zhen Zhang, Dong Gong, Erdun Gao, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi

ICLR 2026 I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? Yuhang Liu, Dong Gong, Yichao Cai, Erdun Gao, Zhen Zhang, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi

CVPR 2025 Distraction Is All You Need for Multimodal Large Language Model Jailbreaking Zuopeng Yang, Jiluan Fan, Anli Yan, Erdun Gao, Xin Lin, Tao Li, Kanghua Mo, Changyu Dong

ICML 2025 MissScore: High-Order Score Estimation in the Presence of Missing Data Wenqin Liu, Haoze Hou, Erdun Gao, Biwei Huang, Qiuhong Ke, Howard Bondell, Mingming Gong

NeurIPS 2025 On the Value of Cross-Modal Misalignment in Multimodal Representation Learning Yichao Cai, Yuhang Liu, Erdun Gao, Tianjiao Jiang, Zhen Zhang, Anton van den Hengel, Javen Qinfeng Shi

ICLR 2024 A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error Erdun Gao, Howard Bondell, Wei Huang, Mingming Gong

CLeaR 2024 Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach Wenqin Liu, Biwei Huang, Erdun Gao, Qiuhong Ke, Howard Bondell, Mingming Gong

TMLR 2023 FedDAG: Federated DAG Structure Learning Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard Bondell

NeurIPS 2022 MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard Bondell