引用次数
引用: 1,472
H-指数: 12
I10-指数 : 15
出版物: 32
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
Xuefei Ning* , Zinan Lin* , Zixuan Zhou* , Huazhong Yang
ICLR 2024
38
2024
Summary Statistic Privacy in Data Sharing
Zinan Lin* , Shuaiqi Wang* , Vyas Sekar , Giulia Fanti
arXiv preprint arXiv:2303.02014
3
2023
Distributional Privacy for Data Sharing
Zinan Lin* , Shuaiqi Wang* , Vyas Sekar , Giulia Fanti
NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research
2
2022
Summary Statistic Privacy in Data Sharing
Zinan Lin* , Shuaiqi Wang* , Vyas Sekar , Giulia Fanti
IEEE Journal on Selected Areas in Information Theory
4
2023
PacGAN: The power of two samples in generative adversarial networks
Giulia Fanti , Sewoong Oh , Ashish Khetan , Zinan Lin
arXiv: Learning
287
2017
Robustness of Conditional GANs to Noisy Labels
Sewoong Oh , Ashish Khetan , Kiran Koshy Thekumparampil , Zinan Lin
arXiv: Machine Learning
150
2018
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
Giulia Fanti , Sewoong Oh , Kiran Koshy Thekumparampil , Zinan Lin
arXiv: Learning
52
2019
MLGO: a Machine Learning Guided Compiler Optimizations Framework.
Krzysztof Choromanski , Zinan Lin , Eugene Brevdo , Mircea Trofin
arXiv: Programming Languages
24
2021
On the Privacy Properties of GAN-generated Samples.
Giulia C. Fanti , Vyas Sekar , Zinan Lin
international conference on artificial intelligence and statistics 1522 -1530
9
2021
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Zinan Lin , Alankar Jain , Chen Wang , Giulia Fanti
internet measurement conference 464 -483
68
2020
RNN-SM: Fast Steganalysis of VoIP Streams Using Recurrent Neural Network
Zinan Lin , Yongfeng Huang , Jilong Wang
IEEE Transactions on Information Forensics and Security 13 ( 7) 1854 -1868
63
2018
Practical gan-based synthetic ip header trace generation using netshare
Yucheng Yin , Zinan Lin , Minhao Jin , Giulia Fanti
Smpte Journal 458 -472
2
2022
Data Sharing with Generative Adversarial Networks: From Theory to Practice
Zinan Lin
Smpte Journal
2022
Decodingtrust: A comprehensive assessment of trustworthiness in gpt models
Boxin Wang , Weixin Chen , Hengzhi Pei , Chulin Xie
arXiv preprint arXiv:2306.11698
133
2023
Oms-dpm: Optimizing the model schedule for diffusion probabilistic models
Enshu Liu , Xuefei Ning , Zinan Lin , Huazhong Yang
International Conference on Machine Learning 21915 -21936
11
2023
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
Tianchen Zhao , Xuefei Ning , Tongcheng Fang , Enshu Liu
arXiv preprint arXiv:2405.17873
2024
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
Enshu Liu , Junyi Zhu , Zinan Lin , Xuefei Ning
arXiv preprint arXiv:2404.02241
2024
Rescaling Intermediate Features Makes Trained Consistency Models Perform Better
Junyi Zhu , Zinan Lin , Enshu Liu , Xuefei Ning
The Second Tiny Papers Track at ICLR 2024
2024
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements
Zinan Lin , Vyas Sekar , Giulia Fanti
NeurIPS 2021
42
2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Todd Huster , Jeremy EJ Cohen , Zinan Lin , Kevin Chan
ICML 2021
22
2021