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Wang, Haozhao

  1. PMR: Prototypical Modal Rebalance for Multimodal Learning
    2022/11/14 by Yunfeng Fan, Fan, Yunfeng, Wenchao Xu +7 · 27 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music and Audio Processing #Speech and Audio Processing #Text and Document Classification Technologies
  2. Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
    2024/08/04 by Fushuo Huo, Huo, Fushuo, Wenchao Xu +9 · 17 citations
    Medicine · Neuroscience · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #EEG and Brain-Computer Interfaces #Epilepsy research and treatment #FOS: Computer and information sciences
  3. Parameterized Knowledge Transfer for Personalized Federated Learning
    2021/11/04 by Song Guo, Zhang, Jie, Guo, Song +7 · 6 citations
    Computer Science · #Distributed #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques #and Cluster Computing (cs.DC)
  4. Towards Efficient Replay in Federated Incremental Learning
    2024/03/09 by Yichen Li, Qunwei Li, Li, Yichen +9 · 9 citations
    Computer Science · #Privacy-Preserving Technologies in Data
  5. Aligning Language Models with Human Preferences via a Bayesian Approach
    2023/10/09 by Wang, Jiashuo, Wang, Haozhao, Sun, Shichao +1 · 5 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  6. FR: Folded Rationalization with a Unified Encoder
    2022/09/17 by Wei Liu, Haozhao Wang, Liu, Wei +9 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  7. FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers
    2022/11/15 by Jinyu Chen, Chen, Jinyu, Wenchao Xu +9 · 3 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  8. Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching
    2024/07/06 by Li, Yichen, Xu, Wenchao, Wang, Haozhao +3 · 5 citations
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  9. MGR: Multi-generator Based Rationalization
    2023/05/08 by Wei Liu, Haozhao Wang, Liu, Wei +11 · 3 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Handwritten Text Recognition Techniques
  10. D-Separation for Causal Self-Explanation
    2023/09/23 by Wei Liu, Jun Wang, Liu, Wei +11 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
  11. Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey
    2024/12/18 by Yichen Li, Li, Yichen, Wang, Haozhao +20 · 5 citations
    Computer Science · Engineering · #Distributed #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #IoT-based Smart Home Systems #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  12. FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
    2024/08/06 by Li, Shiwei, Xu, Wenchao, Wang, Haozhao +7 · 4 citations
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  13. Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection
    2023/12/31 by Fan, Yunfeng, Xu, Wenchao, Wang, Haozhao +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM)
  14. Balanced Multi-modal Federated Learning via Cross-Modal Infiltration
    2023/12/31 by Yunfeng Fan, Fan, Yunfeng, Wenchao Xu +7 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Multimedia (cs.MM) #Privacy-Preserving Technologies in Data
  15. UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative Integration
    2025/02/10 by Xiao, Longtao, Wang, Haozhao, Wang, Cheng +6 · 4 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  16. Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
    2024/12/18 by Li, Yichen, Wang, Yuying, Wang, Haozhao +3 · 3 citations
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  17. Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics
    2025/05/29 by Li, Shiwei, Luo, Xiandi, Tang, Xing +6 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning
    2022/11/19 by Huo, Fushuo, Xu, Wenchao, Guo, Song +4 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  19. From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization
    2021/12/17 by Wu, Feijie, Guo, Song, Wang, Haozhao +4 · 1 citation
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  20. Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement
    2023/03/20 by Huo, Fushuo, Xu, Wenchao, Guo, Jingcai +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  21. Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling
    2023/12/21 by Jie Han, Han, Jie, Yixiong Zou +13 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Anomaly Detection Techniques and Applications
  22. Enhancing the Rationale-Input Alignment for Self-explaining Rationalization
    2023/12/07 by Liu, Wei, Wang, Haozhao, Wang, Jun +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment
    2025/01/06 by Jiaze Li, Li, Jiaze, Haoran Xu +7 · 1 citation
    Computer Science · #Image and Video Quality Assessment #Visual Attention and Saliency Detection
  24. Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization
    2025/03/08 by Liu, Wei, Deng, Zhiying, Niu, Zhongyu +4 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  25. Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization
    2024/10/08 by Liu, Wei, Deng, Zhiying, Niu, Zhongyu +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
    2025/05/04 by Wei Liu, Zhongyu Niu, Liu, Wei +11 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  27. Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges
    2025/07/22 by Senyang Li, Li, Senyao, Wenchao Xu +14 · 4 citations
    Computer Science · #IoT and Edge/Fog Computing #Big Data and Digital Economy #Advanced Neural Network Applications
  28. Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation
    2025/06/30 by Yifan Wang, Wang, Yifan, Gan, Weinan +16 · 2 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
  29. A Systematic Survey on Federated Sequential Recommendation
    2025/02/19 by Yichen Li, Li, Yichen, Qin, Qiyu +11 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques
  30. The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
    2025/05/29 by Li, Shiwei, Luo, Xiandi, Wang, Haozhao +6 · 4 citations
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  31. FedGIG: Graph Inversion from Gradient in Federated Learning
    2024/12/24 by Tianzhe Xiao, Xiao, Tianzhe, Yichen Li +7 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques