Hong Zhang

15 papers A* 1Misc 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	SuperPromptSeg: A Novel Fine-Tuning-Free Segmentation Method Leveraging Superpixel-Based Point Prompts. ICASSP Ziqiao Zhou, Min Cen, Yuzhe Zhang, Hong Zhang, Xu Steven Xu
2024	A*	`conf`	Conversational Dueling Bandits in Generalized Linear Models. KDD Shuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang, Hong Zhang, Huazheng Wang
2024	J	`jnl`	Conversational Dueling Bandits in Generalized Linear Models. CoRR Shuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang, Hong Zhang, Huazheng Wang
2023	J	`jnl`	A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations. Comput. Medical Imaging Graph. Bangwei Guo, Xingyu Li, Miaomiao Yang, Hong Zhang, Xu Steven Xu
2023	J	`jnl`	DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture. CoRR Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu
2023	J	`jnl`	Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines. CoRR Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu
2022	J	`jnl`	A Novel Few-Shot Relation Extraction Pipeline Based on Adaptive Prototype Fusion. CoRR Yuzhe Zhang, Min Cen, Tongzhou Wu, Hong Zhang
2022	J	`jnl`	A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations. CoRR Bangwei Guo, Xingyu Li, Miaomiao Yang, Hong Zhang, Xu Steven Xu
2022	J	`jnl`	Colorectal Cancer Survival Prediction Using Deep Distribution Based Multiple-Instance Learning. Entropy Xingyu Li, Jitendra Jonnagaddala, Min Cen, Hong Zhang, Xu Steven
2022	J	`jnl`	Colorectal cancer survival prediction using deep distribution based multiple-instance learning. CoRR Xingyu Li, Jitendra Jonnagaddala, Min Cen, Hong Zhang, Xu Steven Xu
2022	J	`jnl`	Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model. CoRR Xingyu Li, Min Cen, Jinfeng Xu, Hong Zhang, Xu Steven Xu
2022	J	`jnl`	Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering. CoRR Zihan Chen, Xingyu Li, Miaomiao Yang, Hong Zhang, Xu Steven Xu
2022	J	`jnl`	Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer. CoRR Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu
2021	J	`jnl`	A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer. CoRR Xingyu Li, Jitendra Jonnagaddala, Shuhua Yang, Hong Zhang, Xu Steven Xu
2020	J	`jnl`	contamDE-lm: linear model-based differential gene expression analysis using next-generation RNA-seq data from contaminated tumor samples. Bioinform. Yifan Ji, Chang Yu, Hong Zhang