Quande Liu

Lightspeed Studios, Tencent

Shenzhen, Guangdong, China

Email: qdliu0226@gmail.com

Biography

I am currently a senior researcher at Tencent Lightspeed Studios, with main research efforts on generative AI and multi-modal pre-training problems. Previously, I got my Ph.D degree from the Department of Computer Science and Engineering, The Chinese University of Hong Kong, studying the federated learning and model robustness problem in computer vision. I received the B. Eng (honors) degree from Chu Kochen Honors College, Zhejiang University in 2018.

Recently, I mainly study AIGC algorithms for image and video generation.

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

News

[08/2023] Great honor to be awarded with the
CUHK Young Scholar Thesis Award
(the only awardess from all PhD students of the Faculty of Engineering)!
[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, which is the first attempt to develop a semantic segmentation model by purely using image-caption data from the Internet.
[05/2022] Paper on federated semi-supervised learning was accepted by MICCAI'22.
[12/2021] Paper on single domain generalization for semantic segmentation was accepted by AAAI'22.
[10/2021] Paper on privileged multimodal knowledge learning was accepted by IEEE TMI.
[09/2021] We won the
champion
of Federated Tumor Segmentation Challenge (FeTS) of MICCAI 2021, the first international competition on federated learning!
[06/2021] Fortunate to receive MICCAI 2021
Student Travel Award
.
[06/2021] Two papers on federated semi-supervised learning and source-free domain adaptation accepted by MICCAI'21.
[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
.
[09/2020] Paper on multi-site COVID-19 diagnosis was accepted by IEEE JBHI.
[07/2020] A well-organized multi-site dataset for prostate MRI segmentation has been released. Details please find here.
[06/2020] Paper on domain generalization for image segmentation was early accepted by MICCAI'20.

Selected Publications

	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]
	Learning with Privileged MUltimodal Knowledge for Unimodal Segmentation. Cheng Chen, Qi Dou, Yueming Jin, Quande Liu, Pheng Ann Heng. IEEE Transactions on Medical Imaging (TMI), 2021. [paper][code]
	Federated Semi-supervised Image Classification via Inter-client Relation Matching. Quande Liu, Hongzheng Yang, Qi Dou, Pheng Ann Heng. Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021. (MICCAI Student Travel Award) [paper][code]
	Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng Ann Heng. Medical Image Computing and Computer Assisted Interventions (MICCAI), 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]
	Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model. Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng. IEEE Transactions on Medical Imaging (TMI), 2020. [paper][code]
	MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data. Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng. IEEE Transactions on Medical Imaging (TMI), 2020. [paper][code]
	Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification. Zhao Wang, Quande Liu, Qi Dou. IEEE Journal of Biomedical and Health Informatics (JBHI), 2020. [paper][code][dataset]
	Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. Quande Liu, Qi Dou, Pheng-Ann Heng. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. [paper][code][dataset]
	Deep Mining External Imperfect Data for Chest X-ray Disease Screening. Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng. IEEE Transactions on Medical Imaging (TMI), 2020. [paper]
	Unpaired Multi-modal Segmentation via Knowledge Distillation. Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker. IEEE Transactions on Medical Imaging (TMI), 2020. [paper][code]

Patent

Method and device for detecting pulmonary nodule in computed tomography image, and computer-readable storage medium.
Qi Dou, Quande Liu, Hao Chen.
US Patent US20200005460A1, 2018.

Honors & Awards

CUHK Young Scholar Thesis Award, 2023
Itarle Scholarship, 2022
MSRA PhD Fellowship Nomination Award (27 nominees from Asia), 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).