I am a first-year Ph.D student of R&L Group at Nanjing University (NJU), under the supervision of Prof. Qi Fan – homepage. I obtained my M.S. in Computer Science at the University of Chinese Academy of Sciences (UCAS) in 2024 and B.S at Shanghai Jiao Tong University (SJTU) in 2021. I was also fortunate to be an internship at 01AI , Huawei , TeleAI , Kuaishou-Kling .

My research interests lie in the intersection of Computer Vision and Machine Learning. From 2021, I started to do some research on Neural architecture search and image caption. Now, I focus on designing novel applications for image/video generation, World model, 3D autoregressive-generation and other downstream AIGC tasks. Welcome to the Zhihu homepage for academic discussions in the field of image/video generation.

📖 Educations

2024.10 - up-to-now, Phd, School of Intelligence Science and Technology, Nanjing University.
2021.09 - 2024.06, M.S. degree, School of Computer Science and Technology, University of Chinese Academy of Sciences.
2017.09 - 2021.06, B.S. degree, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University.

📝 Publications

NeurIPS 2025

DON’T NEED RETRAINING: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection

Chang-han Liu, Xunzhi Xiang, Zixuan Duan, Wenbin Li, Yang Gao, Qi Fan.

Paper

SIGGRAPH 2025

Proteus-ID: ID-Consistent and Motion-Enhanced Video Customization

Guiyu Zhang, Chen Shi, Zijian Jiang, Xunzhi Xiang, Jingjing Qian, Shaoshuai Shi, Li Jiang.

Paper Project

TPAMI 2025

Human Motion Video Generation: A Survey

Haiwei Xue, Xiangyang Luo, Zhannghao Hu, Xin Zhang, Xunzhi Xiang, Yuqing dai, Jianzhuang Liu, Zhensong Zhang, Minglei Li, Jian Yang, Fei Ma, Changpeng Yang, Zonghong Dai, and Fei Richard Yu.

Paper

AAAI 2025

ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters

Xunzhi Xiang, Haiwei Xue, Zonghong Dai, Di Wang, Minglei Li, Ye Yue, Fei Ma, Weijiang Yu, Heng Chang, Fei Richard Yu.

Paper

AISTATS 2025

A Neural Architecture Predictor based on GNN-Enhanced Transformer

Xunzhi Xiang, Kun Jing, Jungang Xu.

Paper

🔥 Preprints

ArXiv 2025

Denoising Vision Transformer Autoencoder with Spectral Regularization

Xunzhi Xiang, Xingye Tian, Guiyu Zhang, Yabo Chen, Xin Tao, Pengfei Wan, Qi Fan.

Paper

ArXiv 2025

Macro-from-Micro Planning for High-Quality and Parallelized Autoregressive Long Video Generation

Xunzhi Xiang, Yabo Chen, Guiyu Zhang, Zhongyu Wang, Zhe Gao, Quanming Xiang, Gonghu Shang, Junqi Liu, Haibin Huang, Yang Gao, Chi Zhang, Qi Fan, et al.

Paper Project

ArXiv 2025