Tongxin Wang

According to our database, Tongxin Wang authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

TexFit: Text-Driven Fashion Image Editing with Diffusion Models.

Tongxin Wang, Mang Ye

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

SPCS: a spatial and pattern combined smoothing method for spatial transcriptomic expression.

Yusong Liu, Tongxin Wang, Ben Duggan, Michael F. Sharpnack, Kun Huang, Jie Zhang, Xiufen Ye, Travis S. Johnson

Briefings Bioinform., 2022

2021

Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images.

Wei Shao, Tongxin Wang, Zhi Huang, Zhi Han, Jie Zhang, Kun Huang

IEEE Trans. Medical Imaging, 2021

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.

Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg

npj Digit. Medicine, 2021

TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining.

Zhi Huang, Zhi Han, Tongxin Wang, Wei Shao, Shunian Xiang, Paul Salama, Maher E. Rizkalla, Kun Huang, Jie Zhang

Genom. Proteom. Bioinform., 2021

Towards Fair Cross-Domain Adaptation via Generative Learning.

Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis.

Wei Shao, Kun Huang, Zhi Han, Jun Cheng, Liang Cheng, Tongxin Wang, Liang Sun, Zixiao Lu, Jie Zhang, Daoqiang Zhang

IEEE Trans. Medical Imaging, 2020

Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers.

Wei Shao, Tongxin Wang, Liang Sun, Tianhan Dong, Zhi Han, Zhi Huang, Jie Zhang, Daoqiang Zhang, Kun Huang

Medical Image Anal., 2020

Estimation of Water-Use Efficiency Based on Satellite for the Typical Croplands.

Tongxin Wang, Hongyan Zhang, Jianjun Zhao, Xiaoyi Guo, Shouzheng Tong

IEEE Access, 2020

Microsatellite Instability Prediction of Uterine Corpus Endometrial Carcinoma Based on H&E Histology Whole-Slide Imaging.

Tongxin Wang, Weijia Lu, Fan Yang, Li Liu, Zhongyi Dong, Weimin Tang, Jia Chang, Wenjing Huan, Kun Huang, Jianhua Yao

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Generalized gene co-expression analysis via subspace clustering using low-rank representation.

Tongxin Wang, Jie Zhang, Kun Huang

BMC Bioinform., 2019

LAmbDA: label ambiguous domain adaptation dataset integration reduces batch effects and improves subtype detection.

Travis S. Johnson, Tongxin Wang, Zhi Huang, Christina Y. Yu, Yi Wu, Yatong Han, Yan Zhang, Kun Huang, Jie Zhang

Bioinform., 2019

Topological Methods for Visualization and Analysis of High Dimensional Single-Cell RNA Sequencing Data.

Tongxin Wang, Travis S. Johnson, Jie Zhang, Kun Huang

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma.

Wei Shao, Tongxin Wang, Zhi Huang, Jun Cheng, Zhi Han, Daoqiang Zhang, Kun Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019