Xitong Ling

According to our database, Xitong Ling authored at least 26 papers between 2024 and 2026.

Collaborative distances:

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

2026

A Digital Pathology Resource for Liver Cancer Quantification with Datasets, Benchmarks, and Tools.

Ying Xiao, Shimiao Tang, Xitong Ling, Weiming Chen, Jun Wang, Jiawen Li, Huaitian Yuan, Jianghui Yang, Bowen Li, Huan Li, Yiting Meng, Tian Guan, Yonghong He, Hongfang Yin

CoRR, April, 2026

Splats in Splats++: Robust and Generalizable 3D Gaussian Splatting Steganography.

Yijia Guo, Wenkai Huang, Tong Hu, Gaolei Li, Yang Li, Yuxin Hong, Liwen Hu, Xitong Ling, Jianhua Li, Shengbo Chen, Tiejun Huang, Lei Ma

CoRR, April, 2026

To What Extent Do Token-Level Representations from Pathology Foundation Models Improve Dense Prediction?

Weiming Chen, Xitong Ling, Xidong Wang, Zhenyang Cai, Yijia Guo, Mingxi Fu, Ziyi Zeng, Minxi Ouyang, Jiawen Li, Yizhi Wang, Tian Guan, Benyou Wang, Yonghong He

CoRR, February, 2026

Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis.

Xitong Ling, Xiaoxiao Li, Jiawen Li, Mingxi Fu, Yuxuan Chen, Jing Peng, Minxi Ouyang, Yizhi Wang, Yonghong He, Xiaoping Liu, Lianghui Zhu, Tian Guan

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Rethinking Slide-Level Adaptation of Pathology Foundation Models.

Jiawen Li, Jiali Hu, Qiehe Sun, Xitong Ling, Yuxuan Chen, Renao Yan, Tian Guan, Anjia Han, Chao He, Yonghong He

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation.

Xinrui Chen, Hongxing Zhang, Fanyi Zeng, Yongxian Wei, Yizhi Wang, Xitong Ling, Guanghao Li, Chun Yuan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

HookMIL: Revisiting Context Modeling in Multiple Instance Learning for Computational Pathology.

Xitong Ling, Minxi Ouyang, Xiaoxiao Li, Jiawen Li, Ying Chen, Yuxuan Sun, Xinrui Chen, Tian Guan, Xiaoping Liu, Yonghong He

CoRR, December, 2025

StainNet: A Special Staining Self-Supervised Vision Transformer for Computational Pathology.

Jiawen Li, Jiali Hu, Xitong Ling, Yongqiang Lv, Yuxuan Chen, Yizhi Wang, Tian Guan, Yifei Liu, Yonghong He

CoRR, December, 2025

HyperST: Hierarchical Hyperbolic Learning for Spatial Transcriptomics Prediction.

Chen Zhang, Yilu An, Ying Chen, Hao Li, Xitong Ling, Lihao Liu, Junjun He, Yuxiang Lin, Zihui Wang, Rongshan Yu

CoRR, November, 2025

Deep Pathomic Learning Defines Prognostic Subtypes and Molecular Drivers in Colorectal Cancer.

Zisong Wang, Xuanyu Wang, Hang Chen, Haizhou Wang, Yuxin Chen, Yihang Xu, Yunhe Yuan, Lihuan Luo, Xitong Ling, Xiaoping Liu

CoRR, November, 2025

From Generic to Specialized: A Subspecialty Diagnostic System Powered by Self-Supervised Learning for Cervical Histopathology.

Yizhi Wang, Li Chen, Qiang Huang, Tian Guan, Xi Deng, Zhiyuan Shen, Jiawen Li, Xinrui Chen, Bin Hu, Xitong Ling, Taojie Zhu, Zirui Huang, Deshui Yu, Yan Liu, Jiurun Chen, Lianghui Zhu, Qiming He, Yiqing Liu, Diwei Shi, Hanzhong Liu, Junbo Hu, Hongyi Gao, Zhen Song, Xilong Zhao, Chao He, Ming Zhao, Yonghong He

CoRR, October, 2025

SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification.

Yu Bai, Zitong Yu, Haowen Tian, Xijing Wang, Shuo Yan, Lin Wang, Honglin Li, Xitong Ling, Bo Zhang, Zheng Zhang, Wufan Wang, Hui Gao, Xiangyang Gong, Wendong Wang

CoRR, September, 2025

Multimodal Prototype Alignment for Semi-supervised Pathology Image Segmentation.

Mingxi Fu, Fanglei Fu, Xitong Ling, Huaitian Yuan, Tian Guan, Yonghong He, Lianghui Zhu

CoRR, August, 2025

Deformable Attention Graph Representation Learning for Histopathology Whole Slide Image Analysis.

Mingxi Fu, Xitong Ling, Yuxuan Chen, Jiawen Li, Fanglei Fu, Huaitian Yuan, Tian Guan, Yonghong He, Lianghui Zhu

CoRR, August, 2025

DiagR1: A Vision-Language Model Trained via Reinforcement Learning for Digestive Pathology Diagnosis.

Minxi Ouyang, Lianghui Zhu, Yaqing Bao, Qiang Huang, Jingli Ouyang, Tian Guan, Xitong Ling, Jiawen Li, Song Duan, Wenbin Dai, Li Zheng, Xuemei Zhang, Yonghong He

CoRR, July, 2025

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology.

Lianghui Zhu, Xitong Ling, Minxi Ouyang, Xiaoping Liu, Mingxi Fu, Tian Guan, Fanglei Fu, Xuanyu Wang, Maomao Zeng, Mingxi Zhu, Yibo Jin, Liming Liu, Song Duan, Qiming He, Yizhi Wang, Luxi Xie, Houqiang Li, Yonghong He, Sufang Tian

CoRR, May, 2025

Low-Bit-Width Zero-Shot Quantization With Soft Feature-Infused Hints for IoT Systems.

Xinrui Chen, Yizhi Wang, Yao Li, Xitong Ling, Mengkui Li, Ruikang Liu, Minxi Ouyang, Kang Zhao, Tian Guan, Yonghong He

IEEE Internet Things J., April, 2025

PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks.

Fang Yan, Jianfeng Wu, Jiawen Li, Wei Wang, Jiaxuan Lu, Wen Chen, Zizhao Gao, Jianan Li, Hong Yan, Jiabo Ma, Minda Chen, Yang Lu, Qing Chen, Yizhi Wang, Xitong Ling, Xuenian Wang, Zihan Wang, Qiang Huang, Shengyi Hua, Mianxin Liu, Lei Ma, Tian Shen, Xiaofan Zhang, Yonghong He, Hao Chen, Shaoting Zhang, Zhe Wang

CoRR, March, 2025

Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis.

Xitong Ling, Yifeng Ping, Jiawen Li, Jing Peng, Yuxuan Chen, Minxi Ouyang, Yizhi Wang, Yonghong He, Tian Guan, Xiaoping Liu, Lianghui Zhu

CoRR, March, 2025

PathOrchestra: a comprehensive foundation model for computational pathology with over 100 diverse clinical-grade tasks.

Fang Yan, Jianfeng Wu, Jiawen Li, Wei Wang, Yirong Chen, Linda Wei, Jiaxuan Lu, Wen Chen, Zizhao Gao, Jianan Li, Heng Li, Hong Yan, Jiabo Ma, Minda Chen, Yang Lu, Qing Chen, Yizhi Wang, Xitong Ling, Xuenian Wang, Zihan Wang, Qiang Huang, Shengyi Hua, Mianxin Liu, Lei Ma, Tian Shen, Xiaofan Zhang, Yonghong He, Hao Chen, Shaoting Zhang, Zhe Wang

npj Digit. Medicine, 2025

MergeUp-Augmented Semi-Weakly Supervised Learning for WSI Classification.

Minxi Ouyang, Yuqiu Fu, Renao Yan, Shanshan Shi, Xitong Ling, Lianghui Zhu, Yonghong He, Tian Guan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Cross-Modal Prototype Allocation: Unsupervised Slide Representation Learning via Patch-Text Contrast in Computational Pathology.

Yuxuan Chen, Jiawen Li, Jiali Hu, Xitong Ling, Tian Guan, Anjia Han, Yonghong He

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Unlocking adaptive digital pathology through dynamic feature learning.

Jiawen Li, Tian Guan, Qingxin Xia, Yizhi Wang, Xitong Ling, Jing Li, Qiang Huang, Zihan Wang, Zhiyuan Shen, Yifei Ma, Zimo Zhao, Zhe Lei, Tiandong Chen, Junbo Tan, Xueqian Wang, Xiu-Wu Bian, Zhe Wang, Lingchuan Guo, Chao He, Yonghong He

CoRR, 2024

Towards a Comprehensive Benchmark for Pathological Lymph Node Metastasis in Breast Cancer Sections.

Xitong Ling, Yuanyuan Lei, Jiawen Li, Junru Cheng, Wenting Huang, Tian Guan, Jian Guan, Yonghong He

CoRR, 2024

MergeUp-augmented Semi-Weakly Supervised Learning for WSI Classification.

Mingxi Ouyang, Yuqiu Fu, Renao Yan, Shanshan Shi, Xitong Ling, Lianghui Zhu, Yonghong He, Tian Guan

CoRR, 2024

Agent Aggregator with Mask Denoise Mechanism for Histopathology Whole Slide Image Analysis.

Xitong Ling, Minxi Ouyang, Yizhi Wang, Xinrui Chen, Renao Yan, Hongbo Chu, Junru Cheng, Tian Guan, Sufang Tian, Xiaoping Liu, Yonghong He

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024