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Zheng, Changwen

  1. SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders
    2022/06/21 by Gang Li, Li, Gang, Heliang Zheng +9 · 13 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Image Enhancement Techniques #Advanced Neural Network Applications
  2. T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration
    2024/01/19 by Sun, Chuxiong, Zang, Zehua, Li, Jiabao +4 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
  3. 3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models
    2022/11/25 by Gang Li, Heliang Zheng, Li, Gang +9 · 3 citations
    Computer Science · #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
  4. SimViT: Exploring a Simple Vision Transformer with sliding windows
    2021/12/24 by Gang Li, Di Xu, Li, Gang +7 · 2 citations
    Computer Science · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  5. Supporting Vision-Language Model Inference with Confounder-pruning Knowledge Prompt
    2022/05/23 by Li, Jiangmeng, Mo, Wenyi, Qiang, Wenwen +4 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  6. Towards Task Sampler Learning for Meta-Learning
    2023/07/18 by Jingyao Wang, Wenwen Qiang, Wang, Jingyao +7 · 3 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning
  7. Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective
    2022/08/26 by Jiangmeng Li, Yanan Zhang, Li, Jiangmeng +13 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  8. AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere
    2023/04/24 by Jingyao Wang, Yuxuan Yang, Wang, Jingyao +4 · 4 citations
    Computer Science · #Machine Learning and Data Classification
  9. Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
    2023/12/16 by Qirui Ji, Ji, Qirui, Jiangmeng Li +9 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning
    2023/12/21 by Jiangmeng Li, Y. Jin, Li, Jiangmeng +9 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques
  11. Robust Causal Graph Representation Learning against Confounding Effects
    2022/08/18 by Hang Gao, Jiangmeng Li, Gao, Hang +11 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #Topic Modeling
  12. Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
    2022/01/11 by Hang Gao, Gao, Hang, Jiangmeng Li +9 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs
    2025/05/15 by Jingyao Wang, Wang, Jingyao, Wenwen Qiang +7 · 3 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  14. MetAug: Contrastive Learning via Meta Feature Augmentation
    2022/03/10 by Jiangmeng Li, Li, Jiangmeng, Wenwen Qiang +7 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Video Surveillance and Tracking Methods
  15. Rethinking Causal Relationships Learning in Graph Neural Networks
    2023/12/15 by Hang Gao, Chengyu Yao, Gao, Hang +13 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  16. Towards the Causal Complete Cause of Multi-Modal Representation Learning
    2024/07/19 by Jingyao Wang, Wang, Jingyao, Wenwen Qiang +8 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
  17. Learning Invariant Causal Mechanism from Vision-Language Models
    2024/05/24 by Song, Zeen, Zhao, Siyu, Zhang, Xingyu +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  18. Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learning
    2024/08/19 by Jingyao Wang, Luntian Mou, Wang, Jingyao +5 · 1 citation
    Computer Science · #Handwritten Text Recognition Techniques #Image Processing and 3D Reconstruction
  19. Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach
    2024/12/11 by Hang Gao, Gao, Hang, Chenhao Zhang +9 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #Text and Document Classification Technologies #Topic Modeling
  20. Meta-Auxiliary Learning for Micro-Expression Recognition
    2024/04/18 by Jingyao Wang, Yunhan Tian, Wang, Jingyao +9 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Speech Recognition and Synthesis