Zanlin Ni

According to our database, Zanlin Ni authored at least 25 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation.

Yang Yue, Fangyun Wei, Tianyu He, Jinjing Zhao, Zanlin Ni, Zeyu Liu, Jiayi Guo, Lei Shi, Yue Dong, Li Chen, Ji Li, Gao Huang, Dong Chen

CoRR, May, 2026

Steering Visual Generation in Unified Multimodal Models with Understanding Supervision.

Zeyu Liu, Zanlin Ni, Yang Yue, Cheng Da, Huan Yang, Di Zhang, Kun Gai, Gao Huang

CoRR, May, 2026

AdaGen: Learning Adaptive Policy for Image Synthesis.

Zanlin Ni, Yulin Wang, Yeguo Hua, Renping Zhou, Jiayi Guo, Jun Song, Bo Zheng, Gao Huang

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models.

Zanlin Ni, Shenzhi Wang, Yang Yue, Tianyu Yu, Weilin Zhao, Yeguo Hua, Tianyi Chen, Jun Song, Cheng Yu, Bo Zheng, Gao Huang

CoRR, January, 2026

2025

Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Diffusion Model.

Renping Zhou, Zanlin Ni, Tianyi Chen, Zeyu Liu, Yang Yue, Yulin Wang, Yuxuan Wang, Jingshu Liu, Gao Huang

CoRR, December, 2025

Emulating Human-like Adaptive Vision for Efficient and Flexible Machine Visual Perception.

Yulin Wang, Yang Yue, Yang Yue, Huanqian Wang, Haojun Jiang, Yizeng Han, Zanlin Ni, Yifan Pu, Minglei Shi, Rui Lu, Qisen Yang, Andrew Zhao, Zhuofan Xia, Shiji Song, Gao Huang

CoRR, September, 2025

InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation.

Yulin Wang, Zanlin Ni, Yifan Pu, Cai Zhou, Jixuan Ying, Shiji Song, Gao Huang

Int. J. Comput. Vis., May, 2025

Cross-modal adapter for vision-language retrieval.

Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Shiji Song, Gao Huang

Pattern Recognit., 2025

CODA: Repurposing Continuous VAEs for Discrete Tokenization.

Zeyu Liu, Zanlin Ni, Yeguo Hua, Xin Deng, Xiao Ma, Cheng Zhong, Gao Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment.

Jiayi Guo, Junhao Zhao, Chaoqun Du, Yulin Wang, Chunjiang Ge, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis.

Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang

CoRR, 2024

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation.

Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang

CoRR, 2024

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis.

Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang

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

CoRR, 2024

LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images.

Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang

CoRR, 2024

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis.

Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation.

Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang

Proceedings of the Computer Vision - ECCV 2024, 2024

LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images.

Zonghao Guo, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Gao Huang

Proceedings of the Computer Vision - ECCV 2024, 2024

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis.

Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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, Humphrey Shi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Deep Incubation: Training Large Models by Divide-and-Conquering.

Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deep Model Assembling.

Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang

CoRR, 2022

Cross-Modal Adapter for Text-Video Retrieval.

Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Jiwen Lu, Jie Zhou, Shiji Song, Gao Huang

CoRR, 2022

2021

Revisiting Locally Supervised Learning: an Alternative to End-to-end Training.

Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Uncertainty-Aware Score Distribution Learning for Action Quality Assessment.

Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020