Ziteng Gao
I am a last-year PhD student at the National University of Singapore (NUS), currently working at the Show Lab under the supervision of Prof. Mike Z. Shou.
I play with generative vision, especially with pixels.
Previously, I received my M.Sc. degree from Nanjing University in 2022, advised by Prof. Limin Wang. I obtained my B.Sc. degree from the same institution in 2019 as a member of the Computer Science Elite Class.
gzt [at] outlook.com
I am always seeking full-time research or engineering positions in industry starting late 2026. Feel free to reach out via the email above if you think I would be a good fit for your team.
Selected Papers & Preprints, Full List
D-AR: Diffusion via Autoregressive Models
Ziteng Gao, Mike Zheng Shou
TL;DR: Simulating pixel diffusion process with autoregressive models via next token prediction.
ICLR, 2026
PixNerd: Pixel Neural Field Diffusion
Shuai Wang, Ziteng Gao, Chenhui Zhu, Weilin Huang, Limin Wang
TL;DR: The first large-patch diffusion transformers on pixels.
ICLR, 2026
Sparse Image Synthesis via Joint Latent and RoI Flow
Ziteng Gao, Jay Zhangjie Wu, Mike Zheng Shou
NeurIPS, 2025 [new]
[paper & code to be released]
Bootstrapping SparseFormers from Vision Foundation Models
Ziteng Gao, Zhan Tong, Kevin Qinghong Lin, Joya Chen, Mike Zheng Shou
CVPR, 2024
SparseFormer: Sparse Visual Recognition via Limited Latent Tokens
Ziteng Gao, Zhan Tong, Limin Wang, Mike Zheng Shou
ICLR, 2024
AdaMixer: A Fast-Converging Query-Based Object Detector
Ziteng Gao, Limin Wang, Bing Han, Sheng Guo
CVPR, 2022 (oral)
Mutual Supervision for Dense Object Detection
Ziteng Gao, Limin Wang, Gangshan Wu
ICCV, 2021
Boundary-Aware Cascade Networks for Temporal Action Segmentation
Zhenzhi Wang, Ziteng Gao, Limin Wang, Zhifeng Li, Gangshan Wu
ECCV, 2020
LIP: Local Importance-based Pooling
Ziteng Gao, Limin Wang, Gangshan Wu
ICCV, 2019
[arxiv] [pdf] [code]