Erdun Gao - RankMe

30 papers A* 5Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Concept Component Analysis: A Principled Approach for Concept Extraction in LLMs. CoRR Yuhang Liu, Erdun Gao, Dong Gong, Anton van den Hengel, Javen Qinfeng Shi
2026	J	`jnl`	Observationally Informed Adaptive Causal Experimental Design. CoRR Erdun Gao, Liang Zhang, Jake Fawkes, Aoqi Zuo, Wenqin Liu, Haoxuan Li, Mingming Gong, Dino Sejdinovic
2025	J	`jnl`	ActiveCQ: Active Estimation of Causal Quantities. CoRR Erdun Gao, Dino Sejdinovic
2025	J	`jnl`	Causal-EPIG: A Prediction-Oriented Active Learning Framework for CATE Estimation. CoRR Erdun Gao, Jake Fawkes, Dino Sejdinovic
2025	A*	`conf`	Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation. ACM Multimedia Xinshu Li, Ruoyu Wang, Erdun Gao, Mingming Gong, Lina Yao
2025	J	`jnl`	Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation. CoRR Xinshu Li, Ruoyu Wang, Erdun Gao, Mingming Gong, Lina Yao
2025	A*	`conf`	Distraction is All You Need for Multimodal Large Language Model Jailbreaking. CVPR Zuopeng Yang, Jiluan Fan, Anli Yan, Erdun Gao, Xin Lin, Tao Li, Kanghua Mo, Changyu Dong
2025	J	`jnl`	Distraction is All You Need for Multimodal Large Language Model Jailbreaking. CoRR Zuopeng Yang, Jiluan Fan, Anli Yan, Erdun Gao, Xin Lin, Tao Li, Kanghua Mo, Changyu Dong
2025	J	`jnl`	I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? CoRR Yuhang Liu, Dong Gong, Erdun Gao, Zhen Zhang, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi
2025	A*	`conf`	MissScore: High-Order Score Estimation in the Presence of Missing Data. ICML Wenqin Liu, Haoze Hou, Erdun Gao, Biwei Huang, Qiuhong Ke, Howard D. Bondell, Mingming Gong
2025	J	`jnl`	Negate or Embrace: On How Misalignment Shapes Multimodal Representation Learning. CoRR Yichao Cai, Yuhang Liu, Erdun Gao, Tianjiao Jiang, Zhen Zhang, Anton van den Hengel, Javen Qinfeng Shi
2024	A*	`conf`	A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error. ICLR Erdun Gao, Howard D. Bondell, Wei Huang, Mingming Gong
2024	—	`conf`	Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach. CLeaR Wenqin Liu, Biwei Huang, Erdun Gao, Qiuhong Ke, Howard D. Bondell, Mingming Gong
2024	—	`—`	Causal Inference with Imperfect Data. Erdun Gao
2024	J	`jnl`	Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion. IEEE Trans. Circuits Syst. Video Technol. Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang
2023	J	`jnl`	A novel two-level embedding pattern for grayscale-invariant reversible data hiding. Multim. Tools Appl. Xiaoran Zhang, Zhibin Pan, Quan Zhou, Erdun Gao, Xinyi Gao, Guojun Fan
2023	J	`jnl`	Eliminating Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion. CoRR Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang
2023	J	`jnl`	FedDAG: Federated DAG Structure Learning. Trans. Mach. Learn. Res. Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard D. Bondell
2022	A*	`conf`	MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models. NeurIPS Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard D. Bondell
2022	J	`jnl`	MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models. CoRR Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard D. Bondell
2022	J	`jnl`	On the Sparse DAG Structure Learning Based on Adaptive Lasso. CoRR Danru Xu, Erdun Gao, Wei Huang, Mingming Gong
2021	J	`jnl`	Federated Causal Discovery. CoRR Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard D. Bondell
2021	J	`jnl`	Reversible data hiding method based on combining IPVO with bias-added Rhombus predictor by multi-predictor mechanism. Signal Process. Guojun Fan, Zhibin Pan, Erdun Gao, Xinyi Gao, Xiaoran Zhang
2020	J	`jnl`	Adaptive Complexity for Pixel-Value-Ordering Based Reversible Data Hiding. IEEE Signal Process. Lett. Zhibin Pan, Xinyi Gao, Erdun Gao, Guojun Fan
2020	J	`jnl`	Effective reversible data hiding using dynamic neighboring pixels prediction based on prediction-error histogram. Multim. Tools Appl. Zhibin Pan, Xinyi Gao, Lingfei Wang, Erdun Gao
2020	J	`jnl`	Reversible data hiding for high dynamic range images using two-dimensional prediction-error histogram of the second time prediction. Signal Process. Xinyi Gao, Zhibin Pan, Erdun Gao, Guojun Fan
2019	J	`jnl`	A low bit-rate SOC-based reversible data hiding algorithm by using new encoding strategies. Multim. Tools Appl. Zhibin Pan, Erdun Gao, Ruoxin Zhu, Lingfei Wang
2019	J	`jnl`	Adaptive Embedding Pattern for Grayscale-Invariance Reversible Data Hiding. CoRR Erdun Gao, Zhibin Pan, Xinyi Gao
2019	J	`jnl`	Reversible data hiding based on novel embedding structure PVO and adaptive block-merging strategy. Multim. Tools Appl. Zhibin Pan, Erdun Gao
2019	J	`jnl`	Reversible data hiding based on novel pairwise PVO and annular merging strategy. Inf. Sci. Erdun Gao, Zhibin Pan, Xinyi Gao