Jinxi Xiang

According to our database, Jinxi Xiang authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot

Medical Image Anal., February, 2024

VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation.

Jinxi Xiang, Ricong Huang, Jun Zhang, Guanbin Li, Xiao Han, Yang Wei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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., November, 2023

Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach.

Feng Luo, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang

CoRR, 2023

Effortless Cross-Platform Video Codec: A Codebook-Based Method.

Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang

CoRR, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot

CoRR, 2023

Federated contrastive learning models for prostate cancer diagnosis and Gleason grading.

Fei Kong, Jinxi Xiang, Xiyue Wang, Xinran Wang, Meng Yue, Jun Zhang, Sen Yang, Junhan Zhao, Xiao Han, Yuhan Dong, Yueping Liu

CoRR, 2023

Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images.

Jinxi Xiang, Xiyue Wang, Xinran Wang, Jun Zhang, Sen Yang, Wei Yang, Xiao Han, Yueping Liu

Comput. Biol. Medicine, 2023

Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information.

Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression.

Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

MIMT: Masked Image Modeling Transformer for Video Compression.

Jinxi Xiang, Kuan Tian, Jun Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification.

Jinxi Xiang, Jun Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning.

Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen Yang, Junzhou Huang, Wei Yang, Junhua Zheng, Xiao Han

CoRR, 2022

SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification.

Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Zhongyi Yang, Ming-Hui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification.

Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation.

Jinxi Xiang, Zhuowei Li, Wenji Wang, Qing Xia, Shaoting Zhang

CoRR, 2021

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

Image Reconstruction for Multi-frequency Electromagnetic Tomography based on Multiple Measurement Vector Model.

Jinxi Xiang, Zhou Chen, Yonggui Dong, Yunjie Yang

Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

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

Design of a Magnetic Induction Tomography System by Gradiometer Coils for Conductive Fluid Imaging.

Jinxi Xiang, Yonggui Dong, Maomao Zhang, Yi Li

IEEE Access, 2019

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

Magnetic Induction Sensing with a Gradiometer Coil and Measurement Circuit.

Jinxi Xiang, Hao Xiong, Yonggui Dong

Proceedings of the 2018 IEEE SENSORS, New Delhi, India, October 28-31, 2018, 2018