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ORCIDShifeng Zhang
- > Home > Persons > Shifeng Zhang
Publications
- 2024
[i38]Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li:
Accelerating Diffusion Sampling with Optimized Time Steps. CoRR abs/2402.17376 (2024)- 2023
- [c48]Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li:
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization. AAAI 2023: 4250-4258 - [c46]Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang:
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models. NeurIPS 2023 - [c45]Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma:
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. NeurIPS 2023 - [i33]Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang:
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models. CoRR abs/2305.18455 (2023) - [i32]Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma:
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. CoRR abs/2309.05019 (2023) - 2022
- [c42]Ning Kang, Shanzhao Qiu, Shifeng Zhang, Zhenguo Li, Shutao Xia:
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework. CVPR 2022: 3729-3738 - [c41]Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu:
Memory Replay with Data Compression for Continual Learning. ICLR 2022 - [c40]Xiaojiang Yang, Yi Wang, Jiacheng Sun, Xing Zhang, Shifeng Zhang, Zhenguo Li, Junchi Yan:
Nonlinear ICA Using Volume-Preserving Transformations. ICLR 2022 - [i30]Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu:
Memory Replay with Data Compression for Continual Learning. CoRR abs/2202.06592 (2022) - [i28]Ning Kang, Shanzhao Qiu, Shifeng Zhang, Zhenguo Li, Shutao Xia:
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework. CoRR abs/2206.05279 (2022) - 2021
- [c39]Shifeng Zhang, Chen Zhang, Ning Kang, Zhenguo Li:
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression. CVPR 2021: 620-629 - [c38]Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li:
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder. NeurIPS 2021: 5822-5833 - [c37]Chen Zhang, Shifeng Zhang, Fabio Maria Carlucci, Zhenguo Li:
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression. NeurIPS 2021: 19525-19537 - [i27]Shifeng Zhang, Chen Zhang, Ning Kang, Zhenguo Li:
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression. CoRR abs/2103.16211 (2021) - [i26]Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li:
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder. CoRR abs/2111.00965 (2021) - [i25]Chen Zhang, Shifeng Zhang, Fabio Maria Carlucci, Zhenguo Li:
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression. CoRR abs/2111.01662 (2021) - 2019
- [i17]Hanwen Liang
, Shifeng Zhang, Jiacheng Sun, Xingqiu He, Weiran Huang, Kechen Zhuang, Zhenguo Li:
DARTS+: Improved Differentiable Architecture Search with Early Stopping. CoRR abs/1909.06035 (2019)
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