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Bingzhe Wu

  1. Post-training Quantization on Diffusion Models
    2022/11/28 by Yuzhang Shang, Zhihang Yuan, Shang, Yuzhang +7 · 52 citations
    Computer Science · Medicine · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks
  2. LLM Inference Unveiled: Survey and Roofline Model Insights
    2024/02/26 by Zhihang Yuan, Yuan, Zhihang, Yuzhang Shang +24 · 28 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Mathematics, Computing, and Information Processing
  3. RPTQ: Reorder-based Post-training Quantization for Large Language Models
    2023/04/03 by Zhihang Yuan, Yuan, Zhihang, Lin Niu +17 · 9 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  4. Fairness-guided Few-shot Prompting for Large Language Models
    2023/03/23 by Zhenqiang Ma, Ma, Huan, Changqing Zhang +17 · 7 citations
    Computer Science · #Topic Modeling #Machine Learning and Data Classification #Natural Language Processing Techniques
  5. Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
    2024/05/05 by Ziqi Gao, Qichao Wang, Gao, Ziqi +11 · 9 citations
    Computer Science · #Digital Filter Design and Implementation
  6. Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning
    2023/10/05 by Huan Ma, Changqing Zhang, Ma, Huan +7 · 7 citations
    Computer Science · #Hate Speech and Cyberbullying Detection
  7. SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution
    2017/12/16 by Bingzhe Wu, Haodong Duan, Wu, Bingzhe +5 · 4 citations
    Computer Science · Engineering · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Image and Signal Denoising Methods
  8. Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
    2020/05/25 by Chaochao Chen, Jun Zhou, Chen, Chaochao +16 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
  9. Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators
    2023/10/11 by Chen Liang, Chen, Liang, Yang Deng +11 · 5 citations
    Computer Science · #Computation and Language (cs.CL) #Expert finding and Q&A systems #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  10. PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection
    2023/10/31 by Tao Yang, Tianyuan Shi, Yang, Tao +11 · 4 citations
    Psychology · #Computation and Language (cs.CL) #Digital Mental Health Interventions #FOS: Computer and information sciences #Mental Health via Writing #Personality Traits and Psychology
  11. Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
    2023/06/05 by Mengting Hu, Zhen Zhang, Hu, Mengting +7 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
  12. Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation
    2024/08/20 by Wang, Haoyu, Bingzhe Wu, Yatao Bian +8 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Natural Language Processing Techniques
  13. Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack
    2022/02/15 by Jintang Li, Li, Jintang, Bingzhe Wu +12 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning
  14. A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
    2022/05/20 by Bingzhe Wu, Jintang Li, Wu, Bingzhe +37 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  15. S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search
    2019/11/16 by Zhihang Yuan, Yuan, Zhihang, Bingzhe Wu +9 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. A Comprehensive Analysis of Information Leakage in Deep Transfer Learning
    2020/09/04 by Cen Chen, Chen, Cen, Bingzhe Wu +6 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  17. UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
    2022/09/19 by Zongbo Han, Han, Zongbo, Zhipeng Liang +17 · 1 citation
    Computer Science · #Machine Learning and Data Classification #Machine Learning in Healthcare #Anomaly Detection Techniques and Applications
  18. Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance
    2023/03/23 by Zhihang Yuan, Yuan, Zhihang, Jiawei Liu +15 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Enhancement Techniques #Image and Signal Denoising Methods #Machine Learning (cs.LG)
  19. VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models
    2023/09/28 by Zihao Zhu, Mingda Zhang, Zhu, Zihao +7 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection
  20. Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale
    2023/10/18 by Qichao Wang, Bian Tian, Wang, Qichao +15 · 1 citation
    Social Sciences · #Computational and Text Analysis Methods
  21. Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
    2019/08/21 by Bingzhe Wu, Shiwan Zhao, Wu, Bingzhe +12 · 2 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning
  22. Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
    2024/03/01 by Zhenqiang Ma, Ma, Huan, Yan Zhu +13 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  23. Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping
    2024/02/12 by Haoyu Wang, Guozheng Ma, Wang, Haoyu +21 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Rights Management and Security #FOS: Computer and information sciences #Model-Driven Software Engineering Techniques #Modular Robots and Swarm Intelligence