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Gao, Erdun

  1. Distraction is All You Need for Multimodal Large Language Model Jailbreaking
    2025/02/15 by Zuopeng Yang, Jiluan Fan, Yang, Zuopeng +12 · 12 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  2. MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
    2022/05/27 by Erdun Gao, Ignavier Ng, Gao, Erdun +13 · 4 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference
  3. FedDAG: Federated DAG Structure Learning
    2021/12/07 by Gao, Erdun, Chen, Junjia, Shen, Li +3 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion
    2023/02/05 by Zuopeng Yang, Tianshu Chu, Yang, Zuopeng +11 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications
  5. I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
    2025/03/12 by Yuhang Liu, Liu, Yuhang, Dong Gong +15 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. On the Value of Cross-Modal Misalignment in Multimodal Representation Learning
    2025/04/14 by Yichao Cai, Yuhang Liu, Cai, Yichao +11 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling