Adaptive Embedding Pattern for Grayscale-Invariance Reversible Data Hiding. - Erdun Gao; Zhibin Pan; Xinyi Gao 001 (CoRR, 2019)

Reversible data hiding based on novel pairwise PVO and annular merging strategy. - Erdun Gao; Zhibin Pan; Xinyi Gao 001 (Inf. Sci., 2019)

Reversible data hiding based on novel embedding structure PVO and adaptive block-merging strategy. - Zhibin Pan; Erdun Gao (Multim. Tools Appl., 2019)

A low bit-rate SOC-based reversible data hiding algorithm by using new encoding strategies. - Zhibin Pan; Erdun Gao; Ruoxin Zhu; Lingfei Wang (Multim. Tools Appl., 2019)

Effective reversible data hiding using dynamic neighboring pixels prediction based on prediction-error histogram. - Zhibin Pan; Xinyi Gao 001; Lingfei Wang; Erdun Gao (Multim. Tools Appl., 2020)

Reversible data hiding for high dynamic range images using two-dimensional prediction-error histogram of the second time prediction. - Xinyi Gao 001; Zhibin Pan; Erdun Gao; Guojun Fan (Signal Process., 2020)

Adaptive Complexity for Pixel-Value-Ordering Based Reversible Data Hiding. - Zhibin Pan; Xinyi Gao 001; Erdun Gao; Guojun Fan (IEEE Signal Process. Lett., 2020)

Federated Causal Discovery. - Erdun Gao; Junjia Chen; Li Shen 008; Tongliang Liu; Mingming Gong; Howard D. Bondell (CoRR, 2021)

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 001; Xiaoran Zhang (Signal Process., 2021)

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models. - Erdun Gao; Ignavier Ng; Mingming Gong; Li Shen 008; Wei Huang; Tongliang Liu; Kun Zhang 001; Howard D. Bondell (NeurIPS, 2022)

On the Sparse DAG Structure Learning Based on Adaptive Lasso. - Danru Xu; Erdun Gao; Wei Huang; Mingming Gong (CoRR, 2022)

Eliminating Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion. - Zuopeng Yang; Tianshu Chu; Xin Lin; Erdun Gao; Daqing Liu; Jie Yang; Chaoyue Wang (CoRR, 2023)

FedDAG: Federated DAG Structure Learning. - Erdun Gao; Junjia Chen; Li Shen 008; Tongliang Liu; Mingming Gong; Howard D. Bondell (Trans. Mach. Learn. Res., 2023)

A novel two-level embedding pattern for grayscale-invariant reversible data hiding. - Xiaoran Zhang; Zhibin Pan; Quan Zhou; Erdun Gao; Xinyi Gao 001; Guojun Fan (Multim. Tools Appl., 2023)

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

A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error. - Erdun Gao; Howard D. Bondell; Wei Huang; Mingming Gong (ICLR, 2024)

Causal Inference with Imperfect Data. - Erdun Gao (2024)

Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion. - Zuopeng Yang; Tianshu Chu; Xin Lin; Erdun Gao; Daqing Liu; Jie Yang 002; Chaoyue Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

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 (CVPR, 2025)

I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? - Yuhang Liu 002; Dong Gong; Erdun Gao; Zhen Zhang 008; Biwei Huang; Mingming Gong; Anton van den Hengel; Javen Qinfeng Shi (CoRR, 2025)

Negate or Embrace: On How Misalignment Shapes Multimodal Representation Learning. - Yichao Cai 001; Yuhang Liu 002; Erdun Gao; Tianjiao Jiang; Zhen Zhang 008; Anton van den Hengel; Javen Qinfeng Shi (CoRR, 2025)

Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation. - Xinshu Li; Ruoyu Wang 038; Erdun Gao; Mingming Gong; Lina Yao 001 (CoRR, 2025)