Yizeng Han's Homepage

About Me

🌟 My research focuses on deep learning, computer vision and medical AI, in particular dynamic neural networks and efficient learning/inference of deep models in resource-constrained scenarios.

🔥 Recently, I am interested in directions related to Efficient/Dynamic Vision Language Model (VLM), Visual Generation, and scalable medical AI systems.

🧐 I'm also interested in fundamental machine learning problems, such as semi-supervised long-tailed learning and fine-grained learning.

📚 Education

Ph.D, Tsinghua University, 2018 - 2024.
B.E., Tsinghua University, 2014 - 2018.

💡 Research Experience

Research Intern, Megvii Technology (Foundation Model Group, advisor: Xiangyu Zhang), 04/2023 - 12/2023
Research Intern, Georgia Institute of Technology (advisor: Gregory D. Abowd), 06/2017 - 08/2017

News

01/2026 🎉 Our work RAPID^3 is accepted at ICLR 2026!
01/2026 🎉 Our work DyDiT++ is accepted by TPAMI!
12/2025 🎉 We release a Tech report and a Code base for Few-Step Distillation of Text-to-Image models!
09/2025 🎉 Our work (AdaptiveNN) is accepted by Nature Machine Intelligence!
09/2025 🎉 Our work (FPSAttention) is accepted at NeurIPS 2025 (Highlight)!
02/2025 🎉 Our work (SGL) is accepted at CVPR 2025.
01/2025 🎉 Our work (DyDiT) is accepted at ICLR 2025.
11/2024 🎉 First Prize of CSIG Natural Science Award (中国图象图形学会自然科学奖一等奖).
09/2024 🎉 Five works are accepted at NeurIPS 2024.
07/2024 🎉 Four works are accepted at ECCV 2024.
06/2024 🎉 Awarded by Outstanding Graduate of Tsinghua University, Outstanding Doctoral Dissertation, and Outstanding Graduate of Beijing.
05/2024 🎉 Our work (EfficientTrain++) is accepted at TPAMI!
05/2024 🎉 Our work (SimPro) is accepted at ICML 2024.
04/2024 🎉 Our work (LAUDNet) is accepted at TPAMI!
02/2024 🎉 Two works (GSVA and Mask Grounding) are accepted at CVPR 2024.
12/2023 🎉 Our work (Learnable Semantic Data Augmentation) is accepted at TIP.
10/2023 🎉 Awarded by Comprehensive Excellence Scholarship, Tsinghua University.
07/2023 🎉 Three works are accepted by ICCV 2023.
10/2022 🎉 Awarded by National Scholarship, Ministry of Education of China.

Selected Papers Full List

DyDiT++: Diffusion Transformers with Timestep and Spatial Dynamics for Efficient Visual Generation

Wangbo Zhao*, Yizeng Han*, Jiasheng Tang, Kai Wang, Hao Luo, Yibing Song, Gao Huang, Fan Wang, Yang You

IEEE TPAMI, 2026.

We extend DyDiT to T2I (DyFLUX) and video generation. Moreover, LoRA finetuning is supported.

PDF Code

RAPID^3: Tri-Level Reinforced Acceleration Policies for Diffusion Transformer

Wangbo Zhao, Yizeng Han, Zhiwei Tang, Jiasheng Tang, Pengfei Zhou, Kai Wang, Bohan Zhuang, Zhangyang Wang, Fan Wang, Yang You

ICLR, 2026.

PDF

Few-Step Distillation for Text-to-Image Generation: A Practical Guide

Yifan Pu*, Yizeng Han*, Zhiwei Tang*, Jiasheng Tang, Fan Wang, Bohan Zhuang, Gao Huang

Tech Report, 2025.

PDF Code

Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation

Inferix Team: Tianyu Feng, Yizeng Han, Jiahao He, Yuanyu He, Xi Lin, Teng Liu, Hanfeng Lu, Jiasheng Tang, Wei Wang, Zhiyuan Wang, Jichao Wu, Mingyang Yang, Yinghao Yu, Zeyu Zhang, Bohan Zhuang

Arxiv Preprint, 2025.

PDF Code

BlockVid: Block Diffusion for High-Quality and Consistent Minute-Long Video Generation

Zeyu Zhang, Shuning Chang, Yuanyu He, Yizeng Han, Jiasheng Tang, Fan Wang, Bohan Zhuang

Arxiv Preprint, 2025.

PDF Code

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

Nature Machine Intelligence, 2025.

PDF Code

FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion

Akide Liu, Zeyu Zhang, Zhexin Li, Xuehai Bai, Yizeng Han, Jiasheng Tang, Yuanjie Xing, Jichao Wu, Mingyang Yang, Weihua Chen, Jiahao He, Yuanyu He, Fan Wang, Gholamreza Haffari, Bohan Zhuang

NeurIPS (Highlight), 2025.

PDF Project

A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for accelerating Large VLMs

Wangbo Zhao*, Yizeng Han*, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You

CVPR, 2025.

PDF Code

Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation

Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You

NeurIPS, 2024.

PDF Code

DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution

Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang

NeurIPS, 2024.

PDF Code

Dynamic Neural Networks: A Survey

Yizeng Han*, Gao Huang*, Shiji Song, Le Yang, Honghui Wang, Yulin Wang

IEEE TPAMI, 2021.

In this survey, we comprehensively review the rapidly developing area, dynamic neural networks.

PDF 智源社区 Slides

DyDiT++: Diffusion Transformers with Timestep and Spatial Dynamics for Efficient Visual Generation

Wangbo Zhao*, Yizeng Han*, Jiasheng Tang, Kai Wang, Hao Luo, Yibing Song, Gao Huang, Fan Wang, Yang You

IEEE TPAMI, 2026.

We extend DyDiT to T2I (DyFLUX) and video generation. Moreover, LoRA finetuning is supported.

PDF Code

Latency-aware Unified Dynamic Networks for Efficient Image Recognition

Yizeng Han*, Zeyu Liu*, Zhihang Yuan*, Yifan Pu, Chaofei Wang, Shiji Song, Gao Huang

IEEE TPAMI, 2024.

PDF Code

A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for accelerating Large VLMs

Wangbo Zhao*, Yizeng Han*, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You

CVPR, 2025.

PDF Code

Dynamic Diffusion Transformer

Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You

ICLR, 2025.

PDF Code

Dynamic Perceiver for Efficient Visual Recognition

Yizeng Han*, Dongchen Han*, Zeyu Liu, Yulin Wang, Xuran Pan, Yifan Pu, Chao Deng, Junlan Feng, Shiji Song, Gao Huang

ICCV, 2023.

PDF Code

Learning to Weight Samples for Dynamic Early-exiting Networks

Yizeng Han*, Yifan Pu*, Zihang Lai, Chaofei Wang, Shiji Song, Junfen Cao, Wenhui Huang, Chao Deng, Gao Huang

ECCV, 2022.

PDF Code

Latency-aware Spatial-wise Dynamic Networks

Yizeng Han*, Zhihang Yuan*, Yifan Pu*, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang

NeurIPS, 2022.

PDF Code

Resolution Adaptive Networks for Efficient Inference

Le Yang*, Yizeng Han*, Xi Chen*, Shiji Song, Jifeng Dai, Gao Huang

CVPR, 2020.

PDF Code

Spatially Adaptive Feature Refinement for Efficient Inference

Yizeng Han, Gao Huang, Shiji Song, Le Yang, Yitian Zhang, Haojun Jiang

IEEE TIP, 2021.

PDF

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning

Chaoqun Du*, Yizeng Han*, Gao Huang

ICML, 2024.

PDF Code

Fine-grained Recognition with Learnable Semantic Data Augmentation

Yifan Pu*, Yizeng Han*, Yulin Wang, Junlan Feng, Chao Deng, Gao Huang

IEEE TIP, 2023.

PDF Code

Awards

First Prize of CSIG Natural Science Award (中国图象图形学会自然科学奖一等奖), 第四完成人, 清华大学 & 阿里巴巴达摩院, 2024
Outstanding Doctoral Dissertation of Tsinghua University (清华大学优秀博士学位论文), Tsinghua University, 2024
Outstanding Graduate of Tsinghua University (清华大学优秀毕业生), Tsinghua University, 2024
Outstanding Graduate of Beijing (北京市优秀毕业生), Beijing Municipal Education Commission, 2024
Comprehensive Excellence Scholarship (综合奖学金), Tsinghua University, 2023
National Scholarship (国家奖学金), Ministry of Education of China, 2022
Comprehensive Excellence Scholarship (综合奖学金), Tsinghua University, 2017
Comprehensive Excellence Scholarship (综合奖学金), Tsinghua University, 2016
Academic Excellence Scholarship (学业优秀奖学金), Tsinghua University, 2015

Get in Touch

Work Email

hanyizeng.hyz@alibaba-inc.com