Get started
Author

Zhiqi Bu

Deep Learning With Gaussian Differential Privacy
2020 · Zhiqi Bu, Jinshuo Dong, et al. · Harvard Data Science Review · 172
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
2020 · Zhiqi Bu, Jason M. Klusowski, et al. · IEEE Transactions on Information Theory · 36
PDF
Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems
2021 · Zongyu Dai, Zhiqi Bu, et al. · International Conference on Machine Learning and Applications · 24
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity
2023 · Shiyun Xu, Zhiqi Bu, et al. · Lecture notes in computer science · 18
PDF
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting
2021 · Nori, Harsha, Caruana, Rich, et al. · arXiv (Cornell University) · 18
PDF
On the Convergence and Calibration of Deep Learning with Differential Privacy
2021 · Bu, Zhiqi, Wang, Hua, et al. · PubMed · 11
PDF
Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability
2023 · Qiyiwen Zhang, Zhiqi Bu, et al. · Lecture notes in computer science · 9
PDF
CEDAR: Communication Efficient Distributed Analysis for Regressions
2022 · Changgee Chang, Zhiqi Bu, et al. · Biometrics · 9
PDF
Fast and Memory Efficient Differentially Private-SGD via JL Projections
2021 · Bu, Zhiqi, Gopi, Sivakanth, et al. · arXiv (Cornell University) · 9
PDF
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks
2020 · Bu, Zhiqi, Xu, Shiyun, et al. · arXiv (Cornell University) · 9
PDF
Differentially Private Optimization on Large Model at Small Cost
2022 · Bu, Zhiqi, Wang, Yu-Xiang, et al. · arXiv (Cornell University) · 8
PDF
Differentially Private Bias-Term Fine-tuning of Foundation Models
2022 · Bu, Zhiqi, Wang, Yu-Xiang, et al. · arXiv (Cornell University) · 6
PDF
On the Convergence of Deep Learning with Differential Privacy.
2021 · Zhiqi Bu, Hua Wang, et al. · arXiv (Cornell University) · 6
MISNN: Multiple Imputation via Semi-parametric Neural Networks
2023 · Zhiqi Bu, Zongyu Dai, et al. · Lecture notes in computer science · 3
PDF
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data
2022 · Dai, Zongyu, Bu, Zhiqi, et al. · PubMed · 3
PDF
Efficient Designs of SLOPE Penalty Sequences in Finite Dimension
2021 · Zhang, Yiliang, Bu, Zhiqi · arXiv (Cornell University) · 3
PDF
Privacy Amplification via Iteration for Shuffled and Online PNSGD
2021 · Matteo Sordello, Zhiqi Bu, et al. · Lecture notes in computer science · 3
PDF
The Amazon Nova Family of Models: Technical Report and Model Card
2025 · AGI, Amazon, Langford, Aaron, et al. · arXiv (Cornell University) · 2
PDF
Characterizing the SLOPE trade-off: A variational perspective and the Donoho–Tanner limit
2023 · Zhiqi Bu, Jason M. Klusowski, et al. · The Annals of Statistics · 2
PDF
Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing
2021 · Kan Chen, Zhiqi Bu, et al. · Lecture notes in computer science · 2
The Complete Lasso Tradeoff Diagram
2020 · Wang, Hua, Yang, Yachong, et al. · arXiv (Cornell University) · 2
PDF
BLUR: A Bi-Level Optimization Approach for LLM Unlearning
2026 · Hadi Reisizadeh, Jinghan Jia, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 1
PDF
LUME: LLM Unlearning with Multitask Evaluations
2025 · Anil Ramakrishna, Yixin Wan, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1
PDF
Differentially Private Optimizers Can Learn Adversarially Robust Models
2022 · Zhang, Yuan, Bu, Zhiqi · arXiv (Cornell University) · 1
PDF
Towards Hyperparameter Transfer for Differentially Private Optimization
2026 · Wang, Tianze, Bu, Zhiqi, et al. · arXiv (Cornell University)
PDF
Works count: 46
Citation count: 358
H-index: 9
I10-index: 6
Year
Topic
Type