Phylogenetic Tree based Method for Uncovering Co-mutational Site-pairs in Influenza Viruses. - Fransiskus Xaverius Ivan; Xinrui Zhou; Akhila Deshpande; Rui Yin 002; Jie Zheng 002; Chee Keong Kwoh 001 (BCB, 2017)

Identification of Potential Critical Virulent Sites Based on Hemagglutinin of Influenza a Virus in Past Pandemic Strains. - Rui Yin 002; Xinrui Zhou; Fransiskus Xaverius Ivan; Jie Zheng 002; Vincent T. K. Chow; Chee Keong Kwoh 001 (ICBBS, 2017)

PeMapNet: Action Recognition from Depth Videos Using Pyramid Energy Maps on Neural Networks. - Jiahao Li; Hejun Wu; Xinrui Zhou (ICTAI, 2017)

Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses. - Xinrui Zhou; Jie Zheng 002; Fransiskus Xaverius Ivan; Rui Yin 002; Shoba Ranganathan; Vincent T. K. Chow; Chee-Keong Kwoh 001 (BMC Genom., 2018)

Computational identification of physicochemical signatures for host tropism of influenza A virus. - Rui Yin 002; Xinrui Zhou; Jie Zheng 002; Chee Keong Kwoh 001 (J. Bioinform. Comput. Biol., 2018)

EDoP Distance Between Sets of Incomplete Permutations: Application to Bacteria Classification Based on Gene Order. - Xinrui Zhou; Amihood Amir; Concettina Guerra; Gad M. Landau; Jarek Rossignac (J. Comput. Biol., 2018)

An Encoding Scheme Capturing Generic Priors and Properties of Amino Acids Improves Protein Classification. - Xinrui Zhou; Rui Yin 002; Jie Zheng 002; Chee Keong Kwoh 001 (IEEE Access, 2019)

Computational modelling and data analysis on the virulence of influenza viruses - Xinrui Zhou (2019)

Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks. - Rui Yin 002; Yu Zhang 084; Xinrui Zhou; Chee Keong Kwoh 001 (J. Bioinform. Comput. Biol., 2020)

Fight for 4230 at CheckThat! 2021: Domain-Specific Preprocessing and Pretrained Model for Ranking Claims by Check-Worthiness. - Xinrui Zhou; Bohuai Wu; Pascale Fung (CLEF (Working Notes), 2021)

Fine-Grained Correlation Loss for Regression. - Chaoyu Chen; Xin Yang 009; Ruobing Huang; Xindi Hu; Yankai Huang; Xiduo Lu; Xinrui Zhou; Mingyuan Luo; Yinyu Ye 002; Xue Shuang; Juzheng Miao; Yi Xiong 001; et al. (MICCAI (8), 2022)

Online Reflective Learning for Robust Medical Image Segmentation. - Yuhao Huang 001; Xin Yang 009; Xiaoqiong Huang; Jiamin Liang; Xinrui Zhou; Cheng Chen 013; Haoran Dou; Xindi Hu; Yan Cao 002; Dong Ni 001 (MICCAI (8), 2022)

Weakly-Supervised High-Fidelity Ultrasound Video Synthesis with Feature Decoupling. - Jiamin Liang; Xin Yang 009; Yuhao Huang 001; Kai Liu; Xinrui Zhou; Xindi Hu; Zehui Lin; Huanjia Luo; Yuanji Zhang; Yi Xiong 001; Dong Ni 001 (MICCAI (4), 2022)

Fourier Test-Time Adaptation with Multi-level Consistency for Robust Classification. - Yuhao Huang 001; Xin Yang 009; Xiaoqiong Huang; Xinrui Zhou; Haozhe Chi; Haoran Dou; Xindi Hu; Jian Wang 099; Xuedong Deng; Dong Ni 001 (MICCAI (3), 2023)

Inflated 3D Convolution-Transformer for Weakly-Supervised Carotid Stenosis Grading with Ultrasound Videos. - Xinrui Zhou; Yuhao Huang 001; Wufeng Xue; Xin Yang 009; Yuxin Zou; Qilong Ying; Yuanji Zhang; Jia Liu; Jie Ren; Dong Ni 001 (MICCAI (2), 2023)

PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation. - Ao Chang; Xing Tao; Xin Yang 009; Yuhao Huang 001; Xinrui Zhou; Jiajun Zeng; Ruobing Huang; Dong Ni 001 (MLMI@MICCAI (1), 2023)

People Counting System Using MmWave MIMO Radar with 3D Convolutional Neural Network. - Cheng-Che Shih; Xinrui Zhou; Thinh Nguyen; Khanh D. Pham (VTC2023-Spring, 2023)

Segment Anything Model for Medical Images? - Yuhao Huang 001; Xin Yang 009; Lian Liu; Han Zhou; Ao Chang; Xinrui Zhou; Rusi Chen; Junxuan Yu; Jiongquan Chen; Chaoyu Chen; Haozhe Chi; Xindi Hu; et al. (CoRR, 2023)

OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis. - Han Zhou; Dong Ni 001; Ao Chang; Xinrui Zhou; Rusi Chen; Yanlin Chen; Lian Liu; Jiamin Liang; Yuhao Huang 001; Tong Han; Zhe Liu; Deng-Ping Fan; et al. (CoRR, 2023)

DYPA: A Machine Learning Dyslexia Prescreening Mobile Application for Chinese Children. - Shuhan Zhong; Sizhe Song; Tianhao Tang; Fei Nie; Xinrui Zhou; Yankun Zhao; Yizhe Zhao; Kuen Fung Sin; S.-H. Gary Chan (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models. - Xinrui Zhou; Yuhao Huang 001; Wufeng Xue; Haoran Dou; Jun Cheng 006; Han Zhou; Dong Ni 001 (MICCAI (7), 2024)

Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recovery. - Hongsheng Wang; Weiyue Zhang; Sihao Liu; Xinrui Zhou; Shengyu Zhang 001; Fei Wu 001; Feng Lin (CoRR, 2024)

NOVA-3D: Non-overlapped Views for 3D Anime Character Reconstruction. - Hongsheng Wang; Nanjie Yao; Xinrui Zhou; Shengyu Zhang 001; Huahao Xu; Fei Wu 001; Feng Lin (CoRR, 2024)

RemoCap: Disentangled Representation Learning for Motion Capture. - Hongsheng Wang; Lizao Zhang; Zhangnan Zhong; Shuolin Xu; Xinrui Zhou; Shengyu Zhang 001; Huahao Xu; Fei Wu 001; Feng Lin (CoRR, 2024)

Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification. - Xinrui Zhou; Yuhao Huang 001; Haoran Dou; Shijing Chen; Ao Chang; Jia Liu; Weiran Long; Jian Zheng; Erjiao Xu; Jie Ren; Ruobing Huang; Jun Cheng 006; et al. (CoRR, 2024)

Segment anything model for medical images? - Yuhao Huang 001; Xin Yang 009; Lian Liu; Han Zhou; Ao Chang; Xinrui Zhou; Rusi Chen; Junxuan Yu; Jiongquan Chen; Chaoyu Chen; Sijing Liu; Haozhe Chi; et al. (Medical Image Anal., 2024)

Multidimensional Evaluation Methods for Deep Learning Models in Target Detection for SAR Images. - Pengcheng Wang; Huanyu Liu; Xinrui Zhou; Zhijun Xue; Liang Ni 005; Qi Han; Junbao Li (Remote. Sens., 2024)

P2ED: A four-quadrant framework for progressive prompt enhancement in 3D interactive medical imaging segmentation. - Ao Chang; Xing Tao; Yuhao Huang 001; Xin Yang 009; Jiajun Zeng; Xinrui Zhou; Ruobing Huang; Dong Ni 001 (Neural Networks, 2025)

A lightweight coal-gangue detection model based on parallel deep residual networks. - She-Xiang Jiang; Xinrui Zhou (PeerJ Comput. Sci., 2025)

Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound. - Yuhao Huang 001; Ao Chang; Haoran Dou; Xing Tao; Xinrui Zhou; Yan Cao 002; Ruobing Huang; Alejandro F. Frangi; Lingyun Bao; Xin Yang 009; Dong Ni 001 (CoRR, 2025)

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound. - Shijing Chen; Xinrui Zhou; Yuhao Wang; Yuhao Huang 001; Ao Chang; Dong Ni 001; Ruobing Huang (CoRR, 2025)