Fusing Object Context to Detect Functional Area for Cognitive Robots. - Hui Cheng; Junhao Cai; Quande Liu; Zhanpeng Zhang; Kai Yang 001; Chen Change Loy; Liang Lin (ICRA, 2018)

Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. - Quande Liu; Qi Dou 001; Pheng-Ann Heng (MICCAI (2), 2020)

Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification. - Zhao Wang 006; Quande Liu; Qi Dou 001 (IEEE J. Biomed. Health Informatics, 2020)

Unpaired Multi-Modal Segmentation via Knowledge Distillation. - Qi Dou 001; Quande Liu; Pheng-Ann Heng; Ben Glocker (IEEE Trans. Medical Imaging, 2020)

MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data. - Quande Liu; Qi Dou 001; Lequan Yu; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2020)

Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model. - Quande Liu; Lequan Yu; Luyang Luo; Qi Dou 001; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2020)

Deep Mining External Imperfect Data for Chest X-Ray Disease Screening. - Luyang Luo; Lequan Yu; Hao Chen 011; Quande Liu; Xi Wang 013; Jiaqi Xu; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2020)

Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning. - Youtan Yin; Hongzheng Yang; Quande Liu; Meirui Jiang; Cheng Chen 013; Qi Dou 001; Pheng-Ann Heng (BrainLes@MICCAI (2), 2021)

FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. - Quande Liu; Cheng Chen 013; Jing Qin 001; Qi Dou 001; Pheng-Ann Heng (CVPR, 2021)

Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. - Cheng Chen 013; Quande Liu; Yueming Jin; Qi Dou 001; Pheng-Ann Heng (MICCAI (5), 2021)

Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching. - Quande Liu; Hongzheng Yang; Qi Dou 001; Pheng-Ann Heng (MICCAI (3), 2021)

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; 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; et al. (npj Digit. Medicine, 2021)

Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary. - Quande Liu; Cheng Chen 013; Qi Dou 001; Pheng-Ann Heng (AAAI, 2022)

Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. - Quande Liu; Youpeng Wen; Jianhua Han; Chunjing Xu; Hang Xu 004; Xiaodan Liang (ECCV (20), 2022)

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. - Meirui Jiang; Hongzheng Yang; Xiaoxiao Li; Quande Liu; Pheng-Ann Heng; Qi Dou 001 (MICCAI (3), 2022)

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; 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; et al. (npj Digit. Medicine, 2022)

Learning With Privileged Multimodal Knowledge for Unimodal Segmentation. - Cheng Chen 013; Qi Dou 001; Yueming Jin; Quande Liu; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2022)

DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images. - Hongzheng Yang; Cheng Chen 013; Meirui Jiang; Quande Liu; Jianfeng Cao; Pheng-Ann Heng; Qi Dou 001 (IEEE Trans. Medical Imaging, 2022)

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 033 (CoRR, 2024)

Text-Animator: Controllable Visual Text Video Generation. - Lin Liu 016; Quande Liu; Shengju Qian; Yuan Zhou 016; Wengang Zhou 001; Houqiang Li; Lingxi Xie; Qi Tian 001 (CoRR, 2024)

GameGen-X: Interactive Open-world Game Video Generation. - Haoxuan Che; Xuanhua He; Quande Liu; Cheng Jin 003; Hao Chen 011 (ICLR, 2025)

ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning. - Yuzhou Huang; Ziyang Yuan; Quande Liu; Qiulin Wang; Xintao Wang 002; Ruimao Zhang; Pengfei Wan 001; Di Zhang; Kun Gai (CoRR, 2025)

Position: Interactive Generative Video as Next-Generation Game Engine. - Jiwen Yu; Yiran Qin; Haoxuan Che; Quande Liu; Xintao Wang 004; Pengfei Wan 001; Di Zhang; Xihui Liu (CoRR, 2025)

FullDiT: Multi-Task Video Generative Foundation Model with Full Attention. - Xuan Ju; Weicai Ye; Quande Liu; Qiulin Wang; Xintao Wang 002; Pengfei Wan 001; Di Zhang; Kun Gai; Qiang Xu 001 (CoRR, 2025)

Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation. - Shengqiong Wu; Weicai Ye; Jiahao Wang; Quande Liu; Xintao Wang 002; Pengfei Wan 001; Di Zhang; Kun Gai; Shuicheng Yan; Hao Fei 001; Tat-Seng Chua (CoRR, 2025)

A Survey of Interactive Generative Video. - Jiwen Yu; Yiran Qin; Haoxuan Che; Quande Liu; Xintao Wang 002; Pengfei Wan 001; Di Zhang; Kun Gai; Hao Chen 011; Xihui Liu (CoRR, 2025)

Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval. - Jiwen Yu; Jianhong Bai; Yiran Qin; Quande Liu; Xintao Wang; Pengfei Wan 001; Di Zhang; Xihui Liu (CoRR, 2025)

FullDiT2: Efficient In-Context Conditioning for Video Diffusion Transformers. - Xuanhua He; Quande Liu; Zixuan Ye; Weicai Ye; Qiulin Wang; Xintao Wang 002; Qifeng Chen; Pengfei Wan 001; Di Zhang; Kun Gai (CoRR, 2025)

UNIC: Unified In-Context Video Editing. - Zixuan Ye; Xuanhua He; Quande Liu; Qiulin Wang; Xintao Wang 002; Pengfei Wan 001; Di Zhang; Kun Gai; Qifeng Chen; Wenhan Luo (CoRR, 2025)