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Author search results
Exact matches
- Zinan Lin 0001
Microsoft Research, Redmond, WA, USA - Zinan Lin 0002
InterDigital Communications, Inc., USA - Zinan Lin 0003
Polytechnical University Brooklyn, NY, USA - Zinan Lin 0004
Shenzhen University, China
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Publication search results
found 81 matches
- 2024
- Shengtao Lin, Zinan Wang, Jiaojiao Zhang, Pan Wang, Han Wu, Yifei Qi:
Radiation build-up and dissipation in Raman random fiber laser. Sci. China Inf. Sci. 67(1) (2024) - Zinan Lin, Shuaiqi Wang, Vyas Sekar, Giulia Fanti:
Summary Statistic Privacy in Data Sharing. IEEE J. Sel. Areas Inf. Theory 5: 369-384 (2024) - Heng Li
, Ziqin Lin
, Zhongxi Qiu
, Zinan Li, Ke Niu, Na Guo, Huazhu Fu
, Yan Hu
, Jiang Liu
:
Enhancing and Adapting in the Clinic: Source-Free Unsupervised Domain Adaptation for Medical Image Enhancement. IEEE Trans. Medical Imaging 43(4): 1323-1336 (2024) - Ronghao Ni, Zinan Lin, Shuaiqi Wang, Giulia Fanti:
Mixture-of-Linear-Experts for Long-term Time Series Forecasting. AISTATS 2024: 4672-4680 - Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A. Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin:
Differentially Private Synthetic Data via Foundation Model APIs 2: Text. CoRR abs/2403.01749 (2024) - Arturs Backurs, Zinan Lin, Sepideh Mahabadi, Sandeep Silwal, Jakub Tarnawski:
Efficiently Computing Similarities to Private Datasets. CoRR abs/2403.08917 (2024) - Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models. CoRR abs/2403.16379 (2024) - Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. CoRR abs/2404.02241 (2024) - Ziqin Lin, Heng Li, Zinan Li, Huazhu Fu, Jiang Liu:
Is Dataset Quality Still a Concern in Diagnosis Using Large Foundation Model? CoRR abs/2405.12584 (2024) - Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang:
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. CoRR abs/2405.17873 (2024) - Sangyun Lee, Zinan Lin, Giulia Fanti:
Improving the Training of Rectified Flows. CoRR abs/2405.20320 (2024) - 2023
- Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming:
Transfer learning for collaborative recommendation with biased and unbiased data. Artif. Intell. 324: 103992 (2023) - Yongxin Liang, Jianhui Sun, Jialei Zhang, Yuyao Wang, Anchi Wan, Shibo Zhang, Zhenyu Ye, Shengtao Lin, Zinan Wang
:
Prediction of fiber Rayleigh scattering responses based on deep learning. Sci. China Inf. Sci. 66(12) (2023) - Julia Lindberg, Nathan Nicholson, Jose Israel Rodriguez, Zinan Wang:
The Maximum Likelihood Degree of Sparse Polynomial Systems. SIAM J. Appl. Algebra Geom. 7(1): 159-171 (2023) - Dugang Liu
, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan
, Zhong Ming
:
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. IEEE Trans. Knowl. Data Eng. 35(8): 8143-8156 (2023) - Dugang Liu
, Pengxiang Cheng
, Zinan Lin
, Xiaolian Zhang
, Zhenhua Dong
, Rui Zhang
, Xiuqiang He
, Weike Pan
, Zhong Ming
:
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Trans. Inf. Syst. 41(4): 108:1-108:26 (2023) - Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang:
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models. ICML 2023: 21915-21936 - Yuanming Lin, Heng Li, Haofeng Liu
, Hai Shu, Zinan Li, Yan Hu, Jiang Liu:
Domain Adaptative Retinal Image Quality Assessment with Knowledge Distillation Using Competitive Teacher-Student Network. ISBI 2023: 1-5 - Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li:
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. NeurIPS 2023 - Zinan Lin, Shuaiqi Wang, Vyas Sekar, Giulia Fanti:
Summary Statistic Privacy in Data Sharing. CoRR abs/2303.02014 (2023) - Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming:
Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset. CoRR abs/2303.11574 (2023) - Da Yu, Sivakanth Gopi, Janardhan Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang:
Selective Pre-training for Private Fine-tuning. CoRR abs/2305.13865 (2023) - Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Harsha Nori, Sergey Yekhanin:
Differentially Private Synthetic Data via Foundation Model APIs 1: Images. CoRR abs/2305.15560 (2023) - Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang:
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models. CoRR abs/2306.08860 (2023) - Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li:
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. CoRR abs/2306.11698 (2023) - Xuefei Ning, Zinan Lin, Zixuan Zhou, Huazhong Yang, Yu Wang:
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding. CoRR abs/2307.15337 (2023) - Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim:
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. CoRR abs/2309.11765 (2023) - Nuo Chen, Zinan Zheng, Ning Wu, Linjun Shou, Ming Gong, Yangqiu Song, Dongmei Zhang, Jia Li:
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations. CoRR abs/2310.20246 (2023) - Heng Li, Ziqin Lin, Zhongxi Qiu, Zinan Li, Huazhu Fu, Yan Hu, Jiang Liu:
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement. CoRR abs/2312.01338 (2023) - Ronghao Ni, Zinan Lin, Shuaiqi Wang, Giulia Fanti:
Mixture-of-Linear-Experts for Long-term Time Series Forecasting. CoRR abs/2312.06786 (2023)
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