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Journal Articles
- 2022
[j9]Qi Dou
, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng:
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 5 (2022)- [j8]Cheng Chen, Qi Dou, Yueming Jin, Quande Liu, Pheng-Ann Heng:
Learning With Privileged Multimodal Knowledge for Unimodal Segmentation. IEEE Trans. Medical Imaging 41(3): 621-632 (2022) - [j7]Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou:
DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images. IEEE Trans. Medical Imaging 41(12): 3575-3586 (2022) - 2021
- [j6]Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng:
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 4 (2021) - 2020
- [j5]Zhao Wang, Quande Liu, Qi Dou:
Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification. IEEE J. Biomed. Health Informatics 24(10): 2806-2813 (2020) - [j4]Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker:
Unpaired Multi-Modal Segmentation via Knowledge Distillation. IEEE Trans. Medical Imaging 39(7): 2415-2425 (2020) - [j3]Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng:
MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data. IEEE Trans. Medical Imaging 39(9): 2713-2724 (2020) - [j2]Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model. IEEE Trans. Medical Imaging 39(11): 3429-3440 (2020) - [j1]Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng:
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening. IEEE Trans. Medical Imaging 39(11): 3583-3594 (2020)
Conference and Workshop Papers
- 2025
- [c10]Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao Chen:
GameGen-X: Interactive Open-world Game Video Generation. ICLR 2025 - 2022
- [c9]Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary. AAAI 2022: 1756-1764 - [c8]Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang:
Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. ECCV (20) 2022: 275-292 - [c7]Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou:
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. MICCAI (3) 2022: 196-206 - 2021
- [c6]Youtan Yin, Hongzheng Yang, Quande Liu, Meirui Jiang, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning. BrainLes@MICCAI (2) 2021: 433-443 - [c5]Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng:
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CVPR 2021: 1013-1023 - [c4]Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. MICCAI (5) 2021: 225-235 - [c3]Quande Liu, Hongzheng Yang, Qi Dou, Pheng-Ann Heng:
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching. MICCAI (3) 2021: 325-335 - 2020
- [c2]Quande Liu, Qi Dou, Pheng-Ann Heng:
Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. MICCAI (2) 2020: 475-485 - 2018
- [c1]Hui Cheng, Junhao Cai, Quande Liu, Zhanpeng Zhang, Kai Yang, Chen Change Loy, Liang Lin:
Fusing Object Context to Detect Functional Area for Cognitive Robots. ICRA 2018: 1-8
Informal and Other Publications
- 2025
- [i27]Yuzhou Huang, Ziyang Yuan, Quande Liu, Qiulin Wang, Xintao Wang, Ruimao Zhang, Pengfei Wan, Di Zhang, Kun Gai:
ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning. CoRR abs/2501.04698 (2025) - [i26]Jiwen Yu, Yiran Qin, Haoxuan Che, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Xihui Liu:
Position: Interactive Generative Video as Next-Generation Game Engine. CoRR abs/2503.17359 (2025) - [i25]Xuan Ju, Weicai Ye, Quande Liu, Qiulin Wang, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Qiang Xu:
FullDiT: Multi-Task Video Generative Foundation Model with Full Attention. CoRR abs/2503.19907 (2025) - [i24]Shengqiong Wu, Weicai Ye, Jiahao Wang, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Shuicheng Yan, Hao Fei, Tat-Seng Chua:
Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation. CoRR abs/2503.24379 (2025) - [i23]Jiwen Yu, Yiran Qin, Haoxuan Che, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Hao Chen, Xihui Liu:
A Survey of Interactive Generative Video. CoRR abs/2504.21853 (2025) - [i22]Jiwen Yu, Jianhong Bai, Yiran Qin, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Xihui Liu:
Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval. CoRR abs/2506.03141 (2025) - [i21]Xuanhua He, Quande Liu, Zixuan Ye, Weicai Ye, Qiulin Wang, Xintao Wang, Qifeng Chen, Pengfei Wan, Di Zhang, Kun Gai:
FullDiT2: Efficient In-Context Conditioning for Video Diffusion Transformers. CoRR abs/2506.04213 (2025) - [i20]Zixuan Ye, Xuanhua He, Quande Liu, Qiulin Wang, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Qifeng Chen, Wenhan Luo:
UNIC: Unified In-Context Video Editing. CoRR abs/2506.04216 (2025) - [i19]Shian Du, Menghan Xia, Chang Liu, Quande Liu, Xintao Wang, Pengfei Wan, Xiangyang Ji:
UniMMVSR: A Unified Multi-Modal Framework for Cascaded Video Super-Resolution. CoRR abs/2510.08143 (2025) - [i18]Cong Wei, Quande Liu, Zixuan Ye, Qiulin Wang, Xintao Wang, Pengfei Wan, Kun Gai, Wenhu Chen:
UniVideo: Unified Understanding, Generation, and Editing for Videos. CoRR abs/2510.08377 (2025) - [i17]Minghong Cai, Qiulin Wang, Zongli Ye, Wenze Liu, Quande Liu, Weicai Ye, Xintao Wang, Pengfei Wan, Kun Gai, Xiangyu Yue:
VideoCanvas: Unified Video Completion from Arbitrary Spatiotemporal Patches via In-Context Conditioning. CoRR abs/2510.08555 (2025) - 2024
- [i16]Xuanhua He, Quande Liu, Shengju Qian, Xin Wang, Tao Hu, Ke Cao, Keyu Yan, Man Zhou, Jie Zhang:
ID-Animator: Zero-Shot Identity-Preserving Human Video Generation. CoRR abs/2404.15275 (2024) - [i15]Lin Liu, Quande Liu, Shengju Qian, Yuan Zhou, Wengang Zhou, Houqiang Li, Lingxi Xie, Qi Tian:
Text-Animator: Controllable Visual Text Video Generation. CoRR abs/2406.17777 (2024) - [i14]Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao Chen:
GameGen-X: Interactive Open-world Game Video Generation. CoRR abs/2411.00769 (2024) - 2022
- [i13]Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou:
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images. CoRR abs/2205.13723 (2022) - [i12]Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou:
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. CoRR abs/2206.13079 (2022) - [i11]Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary. CoRR abs/2206.14467 (2022) - [i10]Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang:
Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. CoRR abs/2207.08455 (2022) - 2021
- [i9]Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng:
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CoRR abs/2103.06030 (2021) - [i8]Quande Liu, Hongzheng Yang, Qi Dou, Pheng-Ann Heng:
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching. CoRR abs/2106.08600 (2021) - [i7]Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. CoRR abs/2109.09735 (2021) - 2020
- [i6]Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker:
Unpaired Multi-modal Segmentation via Knowledge Distillation. CoRR abs/2001.03111 (2020) - [i5]Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng:
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data. CoRR abs/2002.03366 (2020) - [i4]Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model. CoRR abs/2005.07377 (2020) - [i3]Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng:
Deep Mining External Imperfect Data for Chest X-ray Disease Screening. CoRR abs/2006.03796 (2020) - [i2]Quande Liu, Qi Dou, Pheng-Ann Heng:
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. CoRR abs/2007.02035 (2020) - [i1]Zhao Wang, Quande Liu, Qi Dou:
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification. CoRR abs/2009.07652 (2020)
Coauthor Index
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