Jinxi Xiang

28 papers A* 7Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Toward General-Purpose Video Reconstruction Through Synergy of Grid-Splicing Diffusion and Large Language Models.
IEEE Trans. Circuits Syst. Video Technol.
Jinliang Liu, Jianwei Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Jieqiong Zhao, Zongxin Yang, Junhan Zhao
2025 J jnl
Ensemble learning of foundation models for precision oncology.
CoRR
Xiangde Luo, Xiyue Wang, Feyisope Eweje, Xiaoming Zhang, Sen Yang, Ryan Quinton, Jinxi Xiang, Yuchen Li, Yuanfeng Ji, Zhe Li, Yijiang Chen, Colin Bergstrom, Ted Kim, Francesca Maria Olguin, Kelley Yuan, Matthew Abikenari, Andrew Heider, Sierra Willens, Sanjeeth Rajaram, Robert West, Joel Neal, Maximilian Diehn, Ruijiang Li
2025 J jnl
nnMIL: A generalizable multiple instance learning framework for computational pathology.
CoRR
Xiangde Luo, Jinxi Xiang, Yuanfeng Ji, Ruijiang Li
2024 J jnl
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.
Medical Image Anal.
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
2024 A* conf
VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation.
ICLR
Jinxi Xiang, Ricong Huang, Jun Zhang, Guanbin Li, Xiao Han, Yang Wei
2023 J jnl
Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images.
Comput. Biol. Medicine
Jinxi Xiang, Xiyue Wang, Xinran Wang, Jun Zhang, Sen Yang, Wei Yang, Xiao Han, Yueping Liu
2023 J jnl
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR
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
2023 A* conf
Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression.
ACM Multimedia
Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang
2023 J jnl
Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression.
CoRR
Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang
2023 J jnl
Effortless Cross-Platform Video Codec: A Codebook-Based Method.
CoRR
Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
2023 A* conf
Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification.
ICLR
Jinxi Xiang, Jun Zhang
2023 J jnl
Federated contrastive learning models for prostate cancer diagnosis and Gleason grading.
CoRR
Fei Kong, Jinxi Xiang, Xiyue Wang, Xinran Wang, Meng Yue, Jun Zhang, Sen Yang, Junhan Zhao, Xiao Han, Yuhan Dong, Yueping Liu
2023 J jnl
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach.
CoRR
Feng Luo, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
2023 A* conf
MIMT: Masked Image Modeling Transformer for Video Compression.
ICLR
Jinxi Xiang, Kuan Tian, Jun Zhang
2023 J jnl
MMV-Net: A Multiple Measurement Vector Network for Multifrequency Electrical Impedance Tomography.
IEEE Trans. Neural Networks Learn. Syst.
Zhou Chen, Jinxi Xiang, Pierre-Olivier Bagnaninchi, Yunjie Yang
2023 A* conf
Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information.
ACM Multimedia
Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
2023 J jnl
Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information.
CoRR
Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
2022 A* conf
Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification.
CVPR
Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han
2022 J jnl
Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning.
CoRR
Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen Yang, Junzhou Huang, Wei Yang, Junhua Zheng, Xiao Han
2022 A* conf
SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification.
NeurIPS
Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Zhongyi Yang, Ming-Hui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
2021 J jnl
FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging.
IEEE Trans. Medical Imaging
Jinxi Xiang, Yonggui Dong, Yunjie Yang
2021 J jnl
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation.
CoRR
Jinxi Xiang, Zhuowei Li, Wenji Wang, Qing Xia, Shaoting Zhang
2020 — conf
Image Reconstruction for Multi-frequency Electromagnetic Tomography based on Multiple Measurement Vector Model.
I2MTC
Jinxi Xiang, Zhou Chen, Yonggui Dong, Yunjie Yang
2020 J jnl
Multi-Frequency Electromagnetic Tomography for Acute Stroke Detection Using Frequency-Constrained Sparse Bayesian Learning.
IEEE Trans. Medical Imaging
Jinxi Xiang, Yonggui Dong, Yunjie Yang
2019 J jnl
Design of a Magnetic Induction Tomography System by Gradiometer Coils for Conductive Fluid Imaging.
IEEE Access
Jinxi Xiang, Yonggui Dong, Maomao Zhang, Yi Li
2019 J jnl
Electronics of a Wearable ECG With Level Crossing Sampling and Human Body Communication.
IEEE Trans. Biomed. Circuits Syst.
Jinxi Xiang, Yonggui Dong, Xiaohui Xue, Hao Xiong
2018 J jnl
Capturing Electrocardiogram Signals from Chairs by Multiple Capacitively Coupled Unipolar Electrodes.
Sensors
Zhongjie Hou, Jinxi Xiang, Yonggui Dong, Xiaohui Xue, Hao Xiong, Bin Yang
2018 — conf
Magnetic Induction Sensing with a Gradiometer Coil and Measurement Circuit.
IEEE SENSORS
Jinxi Xiang, Hao Xiong, Yonggui Dong