Bu, Yuheng

1. Adaptive Text Watermark for Large Language Models
   2024/01/25 by Liu, Yepeng, Bu, Yuheng · 17 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences
2. Image Watermarks are Removable Using Controllable Regeneration from Clean Noise
   2024/10/07 by Yepeng Liu, Liu, Yepeng, Yiren Song +11 · 13 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Image and Object Detection Techniques #Image and Signal Denoising Methods #Medical Image Segmentation Techniques
3. Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
   2022/12/14 by Shen, Maohao, Bu, Yuheng, Sattigeri, Prasanna +3 · 5 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Operator SVD with Neural Networks via Nested Low-Rank Approximation
   2024/02/06 by J. Jon Ryu, Ryu, J. Jon, Xiangxiang Xu +9 · 7 citations
   Computer Science · Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA)
5. Selective Regression Under Fairness Criteria
   2021/10/28 by Shah, Abhin, Bu, Yuheng, Lee, Joshua Ka-Wing +4 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
   2024/02/09 by Shen, Maohao, Ryu, J. Jon, Ghosh, Soumya +4 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Information-theoretic Characterizations of Generalization Error for the Gibbs Algorithm
   2022/10/18 by Gholamali Aminian, Yuheng Bu, Aminian, Gholamali +7 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning and Algorithms #Machine Learning and ELM #Neural Networks and Applications
8. Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach
   2024/10/03 by Haiyun He, Yepeng Liu, He, Haiyun +6 · 4 citations
   Computer Science · #Advanced Steganography and Watermarking Techniques #Cryptography and Data Security #Cryptography and Security (cs.CR) #Digital Rights Management and Security #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
9. Estimation of KL Divergence: Optimal Minimax Rate
   2016/07/09 by Bu, Yuheng, Zou, Shaofeng, Liang, Yingbin +1 · 1 citation
   #FOS: Computer and information sciences #Information Theory (cs.IT)
10. Active Learning in Recommendation Systems with Multi-level User Preferences
    2018/11/30 by Bu, Yuheng, Small, Kevin · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
11. Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning
    2025/04/09 by An, Li, Liu, Yujian, Liu, Yepeng +3 · 5 citations
    #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
12. Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs
    2025/02/15 by Liu, Yepeng, Zhao, Xuandong, Song, Dawn +1 · 4 citations
    #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
13. How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
    2022/10/15 by He, Haiyun, Aminian, Gholamali, Bu, Yuheng +2 · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
14. Reliable Gradient-free and Likelihood-free Prompt Tuning
    2023/04/30 by Shen, Maohao, Ghosh, Soumya, Sattigeri, Prasanna +3 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
15. Distributional Information Embedding: A Framework for Multi-bit Watermarking
    2025/01/27 by He, Haiyun, Liu, Yepeng, Wang, Ziqiao +2 · 3 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
16. In-Context Watermarks for Large Language Models
    2025/05/22 by Yepeng Liu, Liu, Yepeng, Xuandong Zhao +7 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis #Advanced Graph Neural Networks
17. Class-wise Generalization Error: an Information-Theoretic Analysis
    2024/01/05 by Firas Laakom, Laakom, Firas, Yuheng Bu +3 · 1 citation
    Computer Science · #Neural Networks and Applications #Machine Learning and ELM #Domain Adaptation and Few-Shot Learning
18. Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption
    2025/10/21 by Liu, Yepeng, Zhao, Xuandong, Song, Dawn +2 · 3 citations
    #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences