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Quande Liu

Kling Team, Kuaishou Technology

Email / Google Scholar / DBLP

Biography

I am a senior researcher at Kling Team, Kuaishou Technology. We focus on multi-model visual generation and world models. Previously, I was a senior researcher at Tencent. I got my Ph.D degree from The Chinese University of Hong Kong, and B. Eng degree from Chu Kochen Honors College, Zhejiang University.

We are actively looking for interns and researchers. Feel free to reach me out if you are interested.

- Recent Publications | - Full List

(* indicates equal contributions, # indicates corresponding author)

Kling-Omni Technical Report
Kling-Team
ArXiv Preprint, 2025.
[paper][Interface]

Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval
Jiwen Yu, Jianhong Bai, Yiran Qin, Quande Liu^#, Xintao Wang, Pengfei Wan, Di Zhang, Xihui Liu^#
SIGGRAPH Asia 2025.
[paper][project page]

FullDiT2: Efficient In-Context Conditioning for Video Diffusion Transformers.
Xuanhua He, Quande Liu^#, Zixuan Ye, Wecai Ye, Qiulin Wang, Xintao Wang, Qifeng Chen, Pengfei Wan, Di Zhang, Kun Gai
ArXiv Preprint, 2025.
[paper][project page]

UNIC: Unified In-Context Video Editing.
Zixuan Ye*, Xuanhua He*, Quande Liu^#, Qiulin Wang, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Qifeng Chen, Wenhan Luo
ArXiv Preprint, 2025.
[paper][project page]

A Survey of Interactive Generative Video.
Jiwen Yu, Yiran Qin, Haoxuan Che, Quande Liu^#, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Hao Chen, Xihui Liu
ArXiv Preprint, 2025.
[paper]

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
International Conference on Computer Vision (ICCV), 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]

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]

Honors & Awards

Ranked as Top 2% Scientists Worldwide 2025 (Single Year) by Stanford University, 2025
Ranked as Top 2% Scientists Worldwide 2024 (Single Year) by Stanford University, 2024
CUHK Young Scholar Thesis Award, 2023
Itarle Scholarship, 2022
MSRA PhD Fellowship Nomination Award, Microsoft Inc., 2020

Professional Activities

Conference Reviewer for ICLR, ICML, NeurIPS, CVPR, ICCV, ECCV, AAAI
Journal Reviewer for TPAMI, TIP, TNNLS

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