Quande Liu Lightspeed Studios, Tencent 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. Previously, I spend two wonderful years (2022-2024) at Lightspeed Studios, Tencent, as a Senior Algorithm Researcher. 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.

Feel free to email me if you are interested in related research topics for an internship.

News

• [11/2024] Our work for GameGen-X for open-world video game gneration was released and would be open-sourced soon.
• [06/2024] Our work for visual text video generation (i.e., Text-Animator) was released.
• [04/2024] Our work for zero-shot human video generation (i.e., ID-Animator) was open-sourced.
• [08/2023] Great honor to be awarded with the

  CUHK Young Scholar Thesis Award

  !
• [05/2022] I passed my oral defense and become a

  Ph.D.

  , at the day of May 19, 2022!
• [07/2022] Paper on vision-language-driven semantic segmentation (ViL-Seg) was accepted by ECCV'22.
• [12/2021] Paper on single domain generalization for semantic segmentation was accepted by AAAI'22.
• [09/2021] We won the

  champion

  of Federated Tumor Segmentation Challenge (FeTS)!
• [03/2021] Paper on federated domain generalization (FedDG) was accepted by CVPR'21.
• [02/2021] Paper on federated learning for COVID-19 lesion detection was accepted by npj Digital Medicine.
• [09/2020] Fortunate to receive

  MSRA PhD Fellowship Nomination Award

  .

- Selected Publications | - Full List

(* indicates equal contributions, † indicates corresponding author)   

	GameGen-X: Interactive Open-World Game Video Generation. Haoxuan Che*, Xuanhua He*, Quande Liu†, Cheng Jin, Hao Chen† ArXiv Preprint, 2024. [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

• CUHK Young Scholar Thesis Award, 2023
• Itarle Scholarship, 2022
• MSRA PhD Fellowship Nomination Award, Microsoft Inc., 2020
• Outstanding Graduates Award, Zhejiang Province, 2018
• Zhejiang University Scholarship, 2015-2017
• Admission to Chu Kochen Honors College, Zhejiang University, 2014

Professional Activities

• Conference Reviews:
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
  AAAI Conference on Artificial Intelligence (AAAI) 2021
  International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2020
  
• Journal Reviews:
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  IEEE Transactions on Medical Imaging (TMI)
  Medical Image Analysis (MedIA)
  IEEE Transactions on Image Processing (TIP)
  IEEE Journal of Biomedical and Health Informatics (JBHI)
  IEEE Access
  Neurocomputing
  Computer Methods and Programs in Biomedicine (CMPB)
  

Teaching

2019-2020	Spring	Principles of Programming Languages (CSCI 3180)
2019-2020	Fall	Problem Solving by Programming (ENGG 1110)
2018-2019	Spring	Problem Solving by Programming (ENGG 1110)
2018-2019	Fall	Digital Logic and Systems (ENGG 2020).

© Quande Liu | Last updated: Mar 2021