-
Bayesian Causal Experimental Design for CATE Estimation under Noncompliance.
Erdun Gao, Yuanyuan Wang, Liang Zhang, Yuhang Liu,
Haoxuan Li, Mingming Gong, Dino Sejdinovic.
Advances in Neural Information Processing Systems (NeurIPS), 2026.
-
Towards Identifiable Latent Additive Noise Models.
Yuhang Liu, Zhen Zhang, Dong Gong, Erdun Gao,
Biwei Huang, Mingming Gong, Anton van den Hengel,
Kun Zhang, Javen Qinfeng Shi.
Advances in Neural Information Processing Systems (NeurIPS), 2026.
-
Observationally Informed Adaptive Causal Experimental Design.
Erdun Gao, Liang Zhang, Jake Fawkes, Aoqi Zuo,
Wenqin Liu, Haoxuan Li, Mingming Gong, Dino Sejdinovic.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD), 2026. (Oral)
-
Learning Latent Dynamical Causal Processes for Single-Cell Perturbation Prediction.
Wenkang Jiang, Yuhang Liu, Erdun Gao,
Ehsan Abbasnejad, Lina Yao, Javen Qinfeng Shi.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD), 2026.
-
Causal-EPIG: Causally Aligned Active CATE Estimation.
Erdun Gao, Jake Fawkes, Dino Sejdinovic.
International Conference on Machine Learning (ICML), 2026.
-
TimeLAVA: Learning-Agnostic Valuation for Time Series Data.
Wenqin Liu, Weizhi Quan, Aoqi Zuo,
Erdun Gao†,
Vu Nguyen, Dino Sejdinovic, Howard Bondell, Mingming Gong.
International Conference on Machine Learning (ICML), 2026.
-
Treatment Responder Classification with Abstention.
Haoxiang Wang, Aoqi Zuo, Ziyan Wang, Zhiheng Zhang,
Erdun Gao, Kun Zhang, Haoxuan Li, Mingming Gong.
International Conference on Machine Learning (ICML), 2026. (Spotlight)
-
What Makes a Good Representation for Single-Cell Perturbation Prediction?
Wenkang Jiang, Yuhang Liu, Yichao Cai, Erdun Gao,
Jiayi Dong, Ehsan Abbasnejad, Lina Yao, Javen Qinfeng Shi.
International Conference on Machine Learning (ICML), 2026.
-
ActiveCQ: Active Estimation of Causal Quantities.
Erdun Gao, Dino Sejdinovic.
International Conference on Learning Representations (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.
International Conference on Learning Representations (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.
International Conference on Learning Representations (ICLR), 2026.
-
Domain Generalization via Content Factors Isolation:
A Two-level Latent Variable Modeling Approach.
Erdun Gao, Howard Bondell, Shaoli Huang, Mingming Gong.
Machine Learning (MLJ), 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.
International Conference on Machine Learning (ICML), 2025.
-
Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation.
Xinshu Li, Ruoyu Wang, Erdun Gao, Mingming Gong, Lina Yao.
ACM International Conference on Multimedia (ACM MM), 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.
IEEE/CVF Conference on Computer Vision and Pattern Recognition
(CVPR), 2025. (Highlight)
-
On the Value of Cross-Modal Misalignment in Multimodal Representation Learning.
Yichao Cai, Yuhang Liu, Erdun Gao,
Tianjiao Jiang, Zhen Zhang, Javen Qinfeng Shi.
Advances in Neural Information Processing Systems
(NeurIPS), 2025. (Spotlight)
-
A Variational Framework for Estimating the Treatment Effects with Measurement Error.
Erdun Gao, Howard Bondell, Wei Huang, Mingming Gong.
International Conference on Learning Representations (ICLR), 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.
Conference on Causal Learning and Reasoning (CLeaR), 2024.
-
FedDAG: Federated DAG Structure Learning.
Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu,
Mingming Gong, Howard Bondell.
Transactions on Machine Learning Research (TMLR), 2023.
-
Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion.
Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao,
Daqing Liu, Jie Yang, Chaoyue Wang.
IEEE Transactions on Circuits and Systems for Video Technology
(T-CSVT), 2023.
-
A novel two-level embedding pattern for grayscale-invariant reversible data hiding.
Xiaoran Zhang, Zhibin Pan, Quan Zhou, Erdun Gao,
Xinyi Gao, Guojun Fan.
Multimedia Tools and Applications (MTA), 2023.
-
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.
Advances in Neural Information Processing Systems (NeurIPS), 2022.
-
Reversible data hiding method based on combining IPVO with bias-added Rhombus predictor by multi-predictor mechanism.
Guojun Fan, Zhibin Pan, Erdun Gao, Xinyi Gao, Xiaoran Zhang.
Signal Processing (SP), 2021.
-
Reversible data hiding for high dynamic range images using two-dimensional prediction-error histogram of the second time prediction.
Xinyi Gao, Zhibin Pan, Erdun Gao, Guojun Fan.
Signal Processing (SP), 2020.
-
Adaptive complexity for pixel-value-ordering based reversible data hiding.
Zhibin Pan, Xinyi Gao, Erdun Gao, Guojun Fan.
IEEE Signal Processing Letters (SPL), 2020.
-
Effective reversible data hiding using dynamic neighboring pixels prediction based on prediction-error histogram.
Zhibin Pan, Xinyi Gao, Lingfei Wang, Erdun Gao.
Multimedia Tools and Applications (MTA), 2020.
-
Reversible data hiding based on novel pairwise PVO and annular merging strategy.
Erdun Gao, Zhibin Pan, Xinyi Gao.
Information Sciences (INS), 2019.
-
A low bit-rate SOC-based reversible data hiding algorithm by using new encoding strategies.
Zhibin Pan, Erdun Gao, Ruoxin Zhu, Lingfei Wang.
Multimedia Tools and Applications (MTA), 2019.
-
Reversible data hiding based on novel embedding structure PVO and adaptive block-merging strategy.
Zhibin Pan, Erdun Gao.
Multimedia Tools and Applications (MTA), 2019.