Bu, Zhiqi

1. Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
   2022/06/14 by Zhiqi Bu, Bu, Zhiqi, Yuxiang Wang +5 · 13 citations
   Computer Science · #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques #Privacy-Preserving Technologies in Data
2. Differentially Private Optimization on Large Model at Small Cost
   2022/09/30 by Zhiqi Bu, Bu, Zhiqi, Yuxiang Wang +5 · 10 citations
   Computer Science · #Advanced Neural Network Applications #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
3. Deep Learning with Gaussian Differential Privacy
   2019/11/26 by Zhiqi Bu, Bu, Zhiqi, Jinshuo Dong +5 · 5 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
4. Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
   2022/05/21 by Zhiqi Bu, Bu, Zhiqi, Jialin Mao +3 · 6 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computational Complexity (cs.CC) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
5. On the Convergence and Calibration of Deep Learning with Differential Privacy
   2021/06/15 by Bu, Zhiqi, Wang, Hua, Dai, Zongyu +1 · 5 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity
   2022/02/25 by Shiyun Xu, Zhiqi Bu, Xu, Shiyun +5 · 5 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
7. The Amazon Nova Family of Models: Technical Report and Model Card
   2025/03/17 by Amazon AGI, AGI, Amazon, Langford, Aaron +867 · 17 citations
   Computer Science · Engineering · #3D Modeling in Geospatial Applications #Artificial Intelligence (cs.AI) #BIM and Construction Integration #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model-Driven Software Engineering Techniques
8. Differentially Private Bias-Term Fine-tuning of Foundation Models
   2022/09/30 by Bu, Zhiqi, Wang, Yu-Xiang, Zha, Sheng +1 · 5 citations
   #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. Accuracy, Interpretability, and Differential Privacy via Explainable Boosting
   2021/06/17 by Harsha Nori, Rich Caruana, Nori, Harsha +7 · 4 citations
   Computer Science · #Privacy-Preserving Technologies in Data #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning
10. Fast and Memory Efficient Differentially Private-SGD via JL Projections
    2021/02/05 by Bu, Zhiqi, Gopi, Sivakanth, Kulkarni, Janardhan +3 · 3 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
11. DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
    2024/10/04 by Xinwei Zhang, Zhang, Xinwei, Zhiqi Bu +9 · 4 citations
    Engineering · #Advanced Adaptive Filtering Techniques #Advanced Wireless Communication Techniques #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Power Line Communications and Noise
12. MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
    2024/06/11 by Li, Lu, Zhang, Tianyu, Bu, Zhiqi +7 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
13. Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate
    2024/10/29 by Zhiqi Bu, Bu, Zhiqi, Xiaomeng Jin +11 · 4 citations
    Computer Science · #Neural Networks and Applications
14. Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach
    2023/11/24 by Xinwei Zhang, Zhang, Xinwei, Zhiqi Bu +5 · 2 citations
    Computer Science · Mathematics · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Random Matrices and Applications #Stochastic Gradient Optimization Techniques
15. BLUR: A Bi-Level Optimization Approach for LLM Unlearning
    2025/06/09 by Reisizadeh, Hadi, Jia, Jinghan, Bu, Zhiqi +6 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
16. Pre-training Differentially Private Models with Limited Public Data
    2024/02/28 by Zhiqi Bu, Xinwei Zhang, Bu, Zhiqi +7 · 2 citations
    Computer Science · Decision Sciences · #Privacy-Preserving Technologies in Data #Auction Theory and Applications
17. Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
    2019/07/17 by Bu, Zhiqi, Klusowski, Jason, Rush, Cynthia +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #Statistics Theory (math.ST) #electronic engineering #information engineering
18. Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability
    2021/07/18 by Qiyiwen Zhang, Zhang, Qiyiwen, Zhiqi Bu +5 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
19. Towards hyperparameter-free optimization with differential privacy
    2025/03/02 by Bu, Zhiqi, Liu, Ruixuan · 4 citations
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
20. LUME: LLM Unlearning with Multitask Evaluations
    2025/02/20 by Ramakrishna, Anil, Wan, Yixin, Jin, Xiaomeng +6 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
21. Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data
    2022/11/23 by Dai, Zongyu, Bu, Zhiqi, Long, Qi · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
22. Zero redundancy distributed learning with differential privacy
    2023/11/20 by Zhiqi Bu, Justin Chiu, Bu, Zhiqi +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Computational Complexity (cs.CC) #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
23. Coupling public and private gradient provably helps optimization
    2023/10/02 by Liu, Ruixuan, Bu, Zhiqi, Wang, Yu-xiang +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
24. DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction
    2024/08/24 by Zhang, Xinwei, Bu, Zhiqi, Hong, Mingyi +1 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)