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ORCIDZanlin Ni
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2020 – today
- 2024
[c5]Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang:
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. CVPR 2024: 7007-7016- [c4]Jiayi Guo, Xingqian Xu, Yifan Pu, Zanlin Ni, Chaofei Wang, Manushree Vasu, Shiji Song, Gao Huang, Humphrey Shi:
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models. CVPR 2024: 7548-7558 - [i9]Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang:
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images. CoRR abs/2403.11703 (2024) - [i8]Jiayi Guo, Junhao Zhao, Chunjiang Ge, Chaoqun Du, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang:
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. CoRR abs/2406.04295 (2024) - [i7]Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang:
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. CoRR abs/2406.05478 (2024) - [i6]Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang:
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. CoRR abs/2409.00342 (2024) - 2023
- [c3]Zanlin Ni, Yulin Wang
, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang:
Deep Incubation: Training Large Models by Divide-and-Conquering. ICCV 2023: 17289-17299 - [i5]Jiayi Guo, Xingqian Xu, Yifan Pu, Zanlin Ni, Chaofei Wang, Manushree Vasu, Shiji Song, Gao Huang, Humphrey Shi:
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models. CoRR abs/2312.04410 (2023) - 2022
- [i4]Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Jiwen Lu, Jie Zhou, Shiji Song, Gao Huang:
Cross-Modal Adapter for Text-Video Retrieval. CoRR abs/2211.09623 (2022) - [i3]Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang:
Deep Model Assembling. CoRR abs/2212.04129 (2022) - 2021
- [c2]Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang:
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. ICLR 2021 - [i2]Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang:
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. CoRR abs/2101.10832 (2021) - 2020
- [c1]Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou:
Uncertainty-Aware Score Distribution Learning for Action Quality Assessment. CVPR 2020: 9836-9845 - [i1]Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou:
Uncertainty-aware Score Distribution Learning for Action Quality Assessment. CoRR abs/2006.07665 (2020)
Coauthor Index
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