Quande Liu

Visual Generation Group (Kling Team)
Kuaishou Technology
Shenzhen, Guangdong, China

Email: qdliu0226@gmail.com


Biography

I am currently a Senior Researcher at Visual Generation Group (a.k.a. Kling Team), Kuaishou Technology.. I got my Ph.D degree from the Department of Computer Science and Engineering, The Chinese University of Hong Kong, and received the B. Eng (honors) degree from Chu Kochen Honors College, Zhejiang University in 2018.

Recently, I mainly study generative AI (expecially image/video generation) and multi-modal learning.

We are actively looking for interns to work on cutting-edge research topics in video generation and multi-modal learning. Feel free to email me if you are interested.

News

- Selected Publications | - Full List

(* indicates equal contributions, † indicates corresponding author)   
Any2Caption: Interpreting Any Condition to Caption for Controllable Video Generation.
Shengqiong Wu, Weicai Ye, Jiahao Wang, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Shuicheng Yan, Hao Fei, Tat-Seng Chua
ArXiv Preprint, 2025.

[paper][project page]

  
FullDiT: Multi-Task Video Generative Foundation Model with Full Attention.
Xuan Ju, Weicai Ye, Quande Liu, Qiulin Wang, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Qiang Xu
ArXiv Preprint, 2025.

[paper][project page]

  
Position: Interactive Generative Video as Next-Generation Game Engine.
Jiwen Yu, Yiran Qin, Haoxuan Che, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Xihui Liu
ArXiv Preprint, 2025.

[paper]

  
GameGen-X: Interactive Open-World Game Video Generation.
Haoxuan Che*, Xuanhua He*, Quande Liu†, Cheng Jin, Hao Chen†
International Conference on Learning Representations (ICLR), 2025.

[paper][code][project page]

                  
Text-Animator: Controllable Visual Text Video Generation.
Lin Liu, Quande Liu, Shengju Qian, Yuan Zhou, Wengang Zhou, Houqiang Li, Lingxi Xie, Qi Tian
ArXiv Preprint, 2024.

[paper][code][project page]

ID-Animator: Zero-Shot Identity-Preserving Human Video Generation.
Xuanhua He, Quande Liu†, Shengju Qian, Xin Wang, Tao Hu, Ke Cao, Keyu Yan, Man Zhou, Jie Zhang†.
ArXiv Preprint, 2024.

[paper][code][project page]

Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding.
Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang.
European Conference on Computer Vision (ECCV), 2022.

[paper]

Single-domain Generalization in Image Segmentation via Test-time Adaptation from Shape Dictionary.
Quande Liu, Cheng Chen, Qi Dou, Pheng Ann Heng.
AAAI Conference on Artificial Intelligence (AAAI), 2022.

[paper]

FedDG: Federated Domain Generalization on Image Segmentation via Episodic Learning in Continuous Frequency Space.
Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

[paper][code]

Federated Deep Learning for Detecting COVID-19 Lung Abnormalities in CT: A Privacy-preserving Multinational Validation Study.
Qi Dou, Tiffany Y So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon Yu, Pheng Ann Heng
npj Digital Medicine, Nature Publishing Group, 2021.

[paper][code]

Honors & Awards

Professional Activities

Teaching

2019-2020SpringPrinciples of Programming Languages (CSCI 3180)
2019-2020FallProblem Solving by Programming (ENGG 1110)
2018-2019SpringProblem Solving by Programming (ENGG 1110)
2018-2019FallDigital Logic and Systems (ENGG 2020).


© Quande Liu | Last updated: Mar 2021