Magnetic Induction Sensing with a Gradiometer Coil and Measurement Circuit. - Jinxi Xiang; Hao Xiong; Yonggui Dong (IEEE SENSORS, 2018)

Capturing Electrocardiogram Signals from Chairs by Multiple Capacitively Coupled Unipolar Electrodes. - Zhongjie Hou; Jinxi Xiang; Yonggui Dong; Xiaohui Xue; Hao Xiong; Bin Yang (Sensors, 2018)

Design of a Magnetic Induction Tomography System by Gradiometer Coils for Conductive Fluid Imaging. - Jinxi Xiang; Yonggui Dong; Maomao Zhang; Yi Li 032 (IEEE Access, 2019)

Electronics of a Wearable ECG With Level Crossing Sampling and Human Body Communication. - Jinxi Xiang; Yonggui Dong; Xiaohui Xue; Hao Xiong (IEEE Trans. Biomed. Circuits Syst., 2019)

Image Reconstruction for Multi-frequency Electromagnetic Tomography based on Multiple Measurement Vector Model. - Jinxi Xiang; Zhou Chen; Yonggui Dong; Yunjie Yang (I2MTC, 2020)

Multi-Frequency Electromagnetic Tomography for Acute Stroke Detection Using Frequency-Constrained Sparse Bayesian Learning. - Jinxi Xiang; Yonggui Dong; Yunjie Yang (IEEE Trans. Medical Imaging, 2020)

Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Jinxi Xiang; Zhuowei Li 002; Wenji Wang; Qing Xia 002; Shaoting Zhang 001 (CoRR, 2021)

FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging. - Jinxi Xiang; Yonggui Dong; Yunjie Yang (IEEE Trans. Medical Imaging, 2021)

Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. - Yonghang Guan; Jun Zhang 018; Kuan Tian; Sen Yang 006; Pei Dong; Jinxi Xiang; Wei Yang 032; Junzhou Huang; Yuyao Zhang; Xiao Han 011 (CVPR, 2022)

SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification. - Xiyue Wang; Jinxi Xiang; Jun Zhang 018; Sen Yang 006; Zhongyi Yang; Ming-Hui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (NeurIPS, 2022)

Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning. - Siteng Chen; Jinxi Xiang; Xiyue Wang; Jun Zhang 018; Sen Yang 006; Junzhou Huang; Wei Yang 032; Junhua Zheng; Xiao Han 011 (CoRR, 2022)

Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification. - Jinxi Xiang; Jun Zhang 018 (ICLR, 2023)

MIMT: Masked Image Modeling Transformer for Video Compression. - Jinxi Xiang; Kuan Tian; Jun Zhang 018 (ICLR, 2023)

Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. - Yue Lv; Jinxi Xiang; Jun Zhang 018; Wenming Yang; Xiao Han 011; Wei Yang 032 (ACM Multimedia, 2023)

Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information. - Kuan Tian; Yonghang Guan; Jinxi Xiang; Jun Zhang 018; Xiao Han 011; Wei Yang 032 (ACM Multimedia, 2023)

Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images. - Jinxi Xiang; Xiyue Wang; Xinran Wang; Jun Zhang 018; Sen Yang 006; Wei Yang 032; Xiao Han 011; Yueping Liu (Comput. Biol. Medicine, 2023)

Federated contrastive learning models for prostate cancer diagnosis and Gleason grading. - Fei Kong; Jinxi Xiang; Xiyue Wang; Xinran Wang; Meng Yue; Jun Zhang 018; Sen Yang 006; Junhan Zhao; Xiao Han 011; Yuhan Dong; Yueping Liu (CoRR, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

Effortless Cross-Platform Video Codec: A Codebook-Based Method. - Kuan Tian; Yonghang Guan; Jinxi Xiang; Jun Zhang 018; Xiao Han 011; Wei Yang 032 (CoRR, 2023)

Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach. - Feng Luo; Jinxi Xiang; Jun Zhang 018; Xiao Han 011; Wei Yang 032 (CoRR, 2023)

MMV-Net: A Multiple Measurement Vector Network for Multifrequency Electrical Impedance Tomography. - Zhou Chen; Jinxi Xiang; Pierre-Olivier Bagnaninchi; Yunjie Yang (IEEE Trans. Neural Networks Learn. Syst., 2023)

VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation. - Jinxi Xiang; Ricong Huang; Jun Zhang 018; Guanbin Li; Xiao Han 011; Yang Wei (ICLR, 2024)

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (Medical Image Anal., 2024)