Uncertainty-Aware Score Distribution Learning for Action Quality Assessment. - Yansong Tang; Zanlin Ni; Jiahuan Zhou; Danyang Zhang; Jiwen Lu; Ying Wu 001; Jie Zhou 001 (CVPR, 2020)

Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. - Yulin Wang 002; Zanlin Ni; Shiji Song; Le Yang 007; Gao Huang 001 (ICLR, 2021)

Cross-Modal Adapter for Text-Video Retrieval. - Haojun Jiang; Jianke Zhang; Rui Huang; Chunjiang Ge; Zanlin Ni; Jiwen Lu; Jie Zhou 001; Shiji Song; Gao Huang 001 (CoRR, 2022)

Deep Model Assembling. - Zanlin Ni; Yulin Wang 002; Jiangwei Yu; Haojun Jiang; Yue Cao 001; Gao Huang 001 (CoRR, 2022)

Deep Incubation: Training Large Models by Divide-and-Conquering. - Zanlin Ni; Yulin Wang 002; Jiangwei Yu; Haojun Jiang; Yue Cao 001; Gao Huang 001 (ICCV, 2023)

Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models. - Jiayi Guo; Xingqian Xu; Yifan Pu; Zanlin Ni; Chaofei Wang; Manushree Vasu; Shiji Song; Gao Huang 001; Humphrey Shi (CVPR, 2024)

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Shiji Song; Yuan Yao 013; Gao Huang 001 (CVPR, 2024)

LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images. - Zonghao Guo; Ruyi Xu; Yuan Yao 013; Junbo Cui; Zanlin Ni; Chunjiang Ge; Tat-Seng Chua; Zhiyuan Liu 001; Gao Huang 001 (ECCV (83), 2024)

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Rui Lu; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Yuan Yao 013; Gao Huang 001 (ECCV (16), 2024)

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Yizeng Han; Jiayi Guo; Zhiyuan Liu 001; Yuan Yao 013; Gao Huang 001 (NeurIPS, 2024)

LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images. - Ruyi Xu; Yuan Yao 013; Zonghao Guo; Junbo Cui; Zanlin Ni; Chunjiang Ge; Tat-Seng Chua; Zhiyuan Liu 001; Maosong Sun 001; Gao Huang 001 (CoRR, 2024)

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. - Jiayi Guo; Junhao Zhao; Chunjiang Ge; Chaoqun Du; Zanlin Ni; Shiji Song; Humphrey Shi; Gao Huang 001 (CoRR, 2024)

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Shiji Song; Yuan Yao 011; Gao Huang 001 (CoRR, 2024)

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Rui Lu; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Yuan Yao 011; Gao Huang 001 (CoRR, 2024)

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Yizeng Han; Jiayi Guo; Zhiyuan Liu 001; Yuan Yao 011; Gao Huang 001 (CoRR, 2024)

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. - Jiayi Guo; Junhao Zhao; Chaoqun Du; Yulin Wang 002; Chunjiang Ge; Zanlin Ni; Shiji Song; Humphrey Shi; Gao Huang 001 (CVPR, 2025)

Cross-modal adapter for vision-language retrieval. - Haojun Jiang; Jianke Zhang; Rui Huang; Chunjiang Ge; Zanlin Ni; Shiji Song; Gao Huang 001 (Pattern Recognit., 2025)

CODA: Repurposing Continuous VAEs for Discrete Tokenization. - Zeyu Liu; Zanlin Ni; Yeguo Hua; Xin Deng; Xiao Ma 006; Cheng Zhong; Gao Huang 001 (CoRR, 2025)

InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation. - Yulin Wang 002; Zanlin Ni; Yifan Pu; Cai Zhou; Jixuan Ying; Shiji Song; Gao Huang 001 (Int. J. Comput. Vis., 2025)