A Novel Speech Processing Algorithm for Cochlear Implant Based on Selective Fundamental Frequency Control. - Tian Guan; Qin Gong; Datian Ye (ICONIP (1), 2006)

Clinical Application and AR Spectrum Analysis of Transient Evoked Otoacoustic Emission with or without Contralateral Acoustic Stimulation. - Qin Gong; Yanru Hu; Yuezhi Cu; Tian Guan; Cheng Peng (BMEI, 2009)

Effects of excitation spread on the intelligibility of Mandarin speech in cochlear implant simulations. - Fei Chen 011; Tian Guan; Lena L. N. Wong (ISCSLP, 2012)

Effect of temporal fine structure on speech intelligibility modeling. - Fei Chen 011; Tian Guan; Lena L. N. Wong (EMBC, 2013)

High-Order Analytical Solution of Relative Motion Equation for Satellite Formation Flying in Elliptical Orbit. - Ting Wang; Hanlun Lei; Bo Xu 029; Tian Guan; Jun Guo (ICINCO (2), 2014)

Assessing Level-Dependent Segmental Contribution to the Intelligibility of Speech Processed by Single-Channel Noise-Suppression Algorithms. - Tian Guan; Guangxing Chu; Fei Chen 011; Feng Yang (INTERSPEECH, 2016)

Determination of Tumor Marker Carcinoembryonic Antigen with Biosensor Based on Optical Quantum Weak Measurements. - Tian Guan; Xiangnan Wang; Dongmei Li; Yilong Zhang 001; Yonghong He; Lixuan Shi; Yiqing Liu; Yuxuan Yang; Yang Xu; Rui Cui (Sensors, 2018)

A Fluidic Biosensor Based on a Phase-Sensitive Low-Coherence Spectral-Domain Interferometer. - Cuixia Guo; Xiaojie Yang; Zhiyuan Shen; Jian-Ping Wu; Suyi Zhong; Yonghong He; Tian Guan; Fangyi Chen (Sensors, 2018)

Rapid Separation of Enantiomeric Impurities in Chiral Molecules by a Self-Referential Weak Measurement System. - Yang Xu; Lixuan Shi; Tian Guan; Suyi Zhong; Xuesi Zhou; Dongmei Li; Cuixia Guo; Yuxuan Yang; Xiangnan Wang; Zhangyan Li; Yonghong He; Luyuan Xie; et al. (Sensors, 2018)

DPANet: A Novel Network Based on Dense Pyramid Feature Extractor and Dual Correlation Analysis Attention Modules for Colon Glands Segmentation. - Shuting Liu; Baochang Zhang 003; Xi Li; Yiqing Liu; Mengying Hu; Tian Guan; Yonghong He (UNSURE/CLIP@MICCAI, 2019)

A Differential Detection Method Based on a Linear Weak Measurement System. - Nian Xiong; Tian Guan; Yang Xu; Lixuan Shi; Suyi Zhong; Xuesi Zhou; Yonghong He; Dongmei Li (Sensors, 2019)

Fusion Segmentation of Head Medical Image with Partially Annotated Data. - Zidui Xu; Tian Guan; Yonghong He (MICAD, 2020)

The Generation of Virtual Immunohistochemical Staining Images Based on an Improved Cycle-GAN. - Shuting Liu; Xi Li; Aiping Zheng; Fan Yang 118; Yiqing Liu; Tian Guan; Yonghong He (MLICOM, 2020)

Review of object instance segmentation based on deep learning. - Di Tian; Yi Han 004; Bi-Yao Wang; Tian Guan; Hengzhi Gu; Wei Wei 006 (J. Electronic Imaging, 2021)

Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks. - Shuting Liu; Baochang Zhang 003; Yiqing Liu; Anjia Han; Huijuan Shi; Tian Guan; Yonghong He (IEEE Trans. Medical Imaging, 2021)

Fourier ViT: A Multi-scale Vision Transformer with Fourier Transform for Histopathological Image Classification. - Hufei Duan; Yiqing Liu; Hui Yan; Qiming He; Yonghong He; Tian Guan (CACRE, 2022)

DEST: Deep Enhanced Swin Transformer Toward Better Scoring for NAFLD. - Renao Yan; Qiming He; Yiqing Liu; Jizhou Gou; Qiehe Sun; Guangde Zhou; Yonghong He; Tian Guan (PRCV (2), 2022)

Absolute size IoU loss for the bounding box regression of the object detection. - Di Tian; Yi Han 004; Shu Wang; Xu Chen; Tian Guan (Neurocomputing, 2022)

Semantic-Similarity Collaborative Knowledge Distillation Framework for Whole Slide Image Classification. - Zehua Ye; Yonghong He; Tian Guan (BIBM, 2023)

Generative and contrastive based self-supervised learning model for histopathology image analysis. - Hongbo Chu; Fang Li; Yonghong He; Tian Guan (ICMLC, 2023)

ADEQ: Adaptive Diversity Enhancement for Zero-Shot Quantization. - Xinrui Chen 001; Renao Yan; Junru Cheng; Yizhi Wang; Yuqiu Fu; Yi Chen; Tian Guan; Yonghong He (ICONIP (1), 2023)

TexQ: Zero-shot Network Quantization with Texture Feature Distribution Calibration. - Xinrui Chen 001; Yizhi Wang; Renao Yan; Yiqing Liu; Tian Guan; Yonghong He (NeurIPS, 2023)

Glomerular Lesion Recognition Based on Pathology Images With Annotation Noise via Noisy Label Learning. - Jing Li; Qiming He; Yiqing Liu; Yanxia Wang; Tian Guan; Jing Ye; Yonghong He; Zhe Wang 043 (IEEE Access, 2023)

Expression site agnostic histopathology image segmentation framework by self supervised domain adaption. - Qiming He; Ling He; Hufei Duan; Qiehe Sun; Runliang Zheng; Jian Guan; Yonghong He; Wenting Huang; Tian Guan (Comput. Biol. Medicine, 2023)

The Whole Pathological Slide Classification via Weakly Supervised Learning. - Qiehe Sun; Jiawen Li 005; Jin Xu; Junru Cheng; Tian Guan; Yonghong He (CoRR, 2023)

Linear quadratic regulator based on extended state observer-based active disturbance rejection control of autonomous vehicle path following control. - Nan Kang; Yi Han 004; Bi-Yao Wang; Tian Guan; Wenhan Feng (J. Syst. Control. Eng., 2023)

Phase Contrast Image-Based Rapid Antimicrobial Susceptibility Testing of Bacteria in Liquid Culture Media. - Xiaonan Zhang; Xuenian Wang; Yaqing Bao; Zhiyuan Shen; Yang Xu; Bei Wang; Haowei Zhang; Tian Guan; Yonghong He (Sensors, 2023)

Research on Road Environmental Sense Method of Intelligent Vehicle Based on Tracking Check. - Yi Han 004; Bi-Yao Wang; Tian Guan; Di Tian; Guangfeng Yang; Wei Wei 006; Hongbo Tang; Joon Huang Chuah (IEEE Trans. Intell. Transp. Syst., 2023)

Unsupervised domain adaptive tumor region recognition for Ki67 automated assisted quantification. - Qiming He; Yiqing Liu; Feiyang Pan; Hufei Duan; Jian Guan; Zhendong Liang; Hui Zhong; Xing Wang; Yonghong He; Wenting Huang; Tian Guan (Int. J. Comput. Assist. Radiol. Surg., 2023)

Unpaired virtual histological staining using prior-guided generative adversarial networks. - Renao Yan; Qiming He; Yiqing Liu; Peng Ye; Lianghui Zhu; Shanshan Shi; Jizhou Gou; Yonghong He; Tian Guan; Guangde Zhou (Comput. Medical Imaging Graph., 2023)

End-to-end affine registration framework for histopathological images with weak annotations. - Yuanhua Lin; Zhendong Liang; Yonghong He; Wenting Huang; Tian Guan (Comput. Methods Programs Biomed., 2023)

Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation. - Qilai Zhang; Jiawen Li 005; Peiran Liao; Jiali Hu; Tian Guan; Anjia Han; Yonghong He (BIBM, 2024)

Dynamic Graph Representation with Knowledge-Aware Attention for Histopathology Whole Slide Image Analysis. - Jiawen Li 005; Yuxuan Chen; Hongbo Chu; Qiehe Sun; Tian Guan; Anjia Han; Yonghong He (CVPR, 2024)

HIQ: One-Shot Network Quantization for Histopathological Image Classification. - Xinrui Chen 001; Renao Yan; Yizhi Wang; Jiawen Li 005; Junru Cheng; Tian Guan; Yonghong He (ICASSP, 2024)

RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification. - Hongbo Chu; Qiehe Sun; Jiawen Li 005; Yuxuan Chen; Lizhong Zhang; Tian Guan; Anjia Han; Yonghong He (MICCAI (4), 2024)

NcIEMIL: Rethinking Decoupled Multiple Instance Learning Framework for Histopathological Slide Classification. - Qiehe Sun; Doukou Jiang; Jiawen Li 005; Renao Yan; Yonghong He; Tian Guan; Zhiqiang Cheng (MIDL, 2024)

Agent Aggregator with Mask Denoise Mechanism for Histopathology Whole Slide Image Analysis. - Xitong Ling; Minxi Ouyang; Yizhi Wang; Xinrui Chen 001; Renao Yan; Hongbo Chu; Junru Cheng; Tian Guan; Sufang Tian; Xiaoping Liu; Yonghong He (ACM Multimedia, 2024)

Global attention based GNN with Bayesian collaborative learning for glomerular lesion recognition. - Qiming He; Shuang Ge; Siqi Zeng 002; Yanxia Wang; Jing Ye; Yonghong He; Jing Li; Zhe Wang 043; Tian Guan (Comput. Biol. Medicine, 2024)

Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification. - Xuenian Wang; Shanshan Shi; Renao Yan; Qiehe Sun; Lianghui Zhu; Tian 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)

Diagnostic Text-guided Representation Learning in Hierarchical Classification for Pathological Whole Slide Image. - Jiawen Li 005; Qiehe Sun; Renao Yan; Yizhi Wang; Yuqiu Fu; Yani Wei; Tian Guan; Huijuan Shi; Yonghong He; Anjia Han (CoRR, 2024)

Towards a Comprehensive Benchmark for Pathological Lymph Node Metastasis in Breast Cancer Sections. - Xitong Ling; Yuanyuan Lei 004; Jiawen Li 005; Junru Cheng; Wenting Huang; Tian Guan; Jian Guan; Yonghong He (CoRR, 2024)

Unlocking adaptive digital pathology through dynamic feature learning. - Jiawen Li 005; Tian Guan; Qingxin Xia; Yizhi Wang; Xitong Ling; Jing Li; Qiang Huang; Zihan Wang; Zhiyuan Shen; Yifei Ma; Zimo Zhao; Zhe Lei; et al. (CoRR, 2024)

Identifying and matching 12-level multistained glomeruli via deep learning for diagnosis of glomerular diseases. - Qiming He; Siqi Zeng 002; Shuang Ge; Yanxia Wang; Jing Ye; Yonghong He; Tian Guan; Zhe Wang 043; Jing Li (Int. J. Imaging Syst. Technol., 2024)

Registration-enhanced multiple instance learning for cervical cancer whole slide image classification. - Qiming He; Chengjiang Wang; Siqi Zeng 002; Zhendong Liang; Hufei Duan; Jingying Yang; Feiyang Pan; Yonghong He; Wenting Huang; Tian Guan (Int. J. Imaging Syst. Technol., 2024)

Segmentation and thickness calculation of glomerular basement membrane using RADS-Net in glomerular microscopic images. - Yizhi Wang; Yiqing Liu; Yuqiu Fu; Xinrui Chen 001; Shuyan Zhao; Jing Ye; Yonghong He; Zhe Wang 043; Tian Guan; Jing Li (Biomed. Signal Process. Control., 2024)

DeepTree: Pathological Image Classification Through Imitating Tree-Like Strategies of Pathologists. - Jiawen Li 005; Junru Cheng; Lingqin Meng; Hui Yan; Yonghong He; Huijuan Shi; Tian Guan; Anjia Han (IEEE Trans. Medical Imaging, 2024)

A Deep Learning Method Enables Quantitative and Automatic Measurement of Rat Liver Histology in NAFLD. - Yuqiu Fu; Deyue Zang; Baiyou Lin; Qiming He; Yujie Xie; Baoliang Zhang; Yao Liu; Yi Jin; Yonghong He; Tian Guan (Int. J. Imaging Syst. Technol., 2024)

COREMIL: Contextual Position Encoding-based Retrievable Multiple Instance Learning for Slide-level Classification. - Bingchen Li; Qiming He; Junru Cheng; Tian Guan; Yonghong He; Guangde Zhou (ICASSP, 2025)

OCDet: A comprehensive ovarian cell detection model with channel attention on immunohistochemical and morphological pathology images. - Jing Peng; Qiming He; Chen Wang; Zijun Wang; Siqi Zeng 002; Qiang Huang; Tian Guan; Yonghong He; Congrong Liu (Comput. Biol. Medicine, 2025)

Entity-level multiple instance learning for mesoscopic histopathology images classification with Bayesian collaborative learning and pathological prior transfer. - Qiming He; Yingming Xu; Qiang Huang; Jing Li; Yonghong He; Zhe Wang 043; Tian Guan (Comput. Medical Imaging Graph., 2025)

Dynamic hypergraph representation for bone metastasis analysis. - Yuxuan Chen; Jiawen Li 005; Lianghui Zhu; Yang Xu; Tian Guan; Huijuan Shi; Yonghong He; Anjia Han (Comput. Methods Programs Biomed., 2025)

Hierarchical hybrid prior-knowledge guided cervical cell classification. - Fan Yang 118; Bo Yang; Qiming He; Lili Ji; Yihui Yang; Tian Guan; Hongping Tang (Neurocomputing, 2025)

Unveiling pathology-related predictive uncertainty of glomerular lesion recognition using prototype learning. - Qiming He; Yingming Xu; Qiang Huang; Yanxia Wang; Jing Ye; Yonghong He; Jing Li; Lianghui Zhu; Zhe Wang 043; Tian Guan (J. Biomed. Informatics, 2025)

Dynamic Hypergraph Representation for Bone Metastasis Cancer Analysis. - Yuxuan Chen; Jiawen Li 005; Huijuan Shi; Yang Xu; Tian Guan; Lianghui Zhu; Yonghong He; Anjia Han (CoRR, 2025)

Shapley Values-Enabled Progressive Pseudo Bag Augmentation for Whole-Slide Image Classification. - Renao Yan; Qiehe Sun; Cheng Jin 003; Yiqing Liu; Yonghong He; Tian Guan; Hao Chen 011 (IEEE Trans. Medical Imaging, 2025)

Unsupervised stain augmentation enhanced glomerular instance segmentation on pathology images. - Fan Yang 118; Qiming He; Yanxia Wang; Siqi Zeng 002; Yingming Xu; Jing Ye; Yonghong He; Tian Guan; Zhe Wang 043; Jing Li (Int. J. Comput. Assist. Radiol. Surg., 2025)

Can We Simplify Slide-level Fine-tuning of Pathology Foundation Models? - Jiawen Li 005; Jiali Hu; Qiehe Sun; Renao Yan; Minxi Ouyang; Tian Guan; Anjia Han; Chao He; Yonghong He (CoRR, 2025)

Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis. - Xitong Ling; Yifeng Ping; Jiawen Li 005; Jing Peng; Yuxuan Chen; Minxi Ouyang; Yizhi Wang; Yonghong He; Tian Guan; Xiaoping Liu; Lianghui Zhu (CoRR, 2025)

Cross-Modal Prototype Allocation: Unsupervised Slide Representation Learning via Patch-Text Contrast in Computational Pathology. - Yuxuan Chen; Jiawen Li 005; Jiali Hu; Xitong Ling; Tian Guan; Anjia Han; Yonghong He (CoRR, 2025)

Low-Bit-Width Zero-Shot Quantization With Soft Feature-Infused Hints for IoT Systems. - Xinrui Chen 001; Yizhi Wang; Yao Li; Xitong Ling; Mengkui Li; Ruikang Liu; Minxi Ouyang; Kang Zhao; Tian Guan; Yonghong He (IEEE Internet Things J., 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 008; Liming Liu; et al. (CoRR, 2025)

A Simple Linear Patch Revives Layer-Pruned Large Language Models. - Xinrui Chen 001; Haoli Bai; Tao Yuan; Ruikang Liu; Kang Zhao; Xianzhi Yu; Lu Hou 002; Tian Guan; Yonghong He; Chun Yuan (CoRR, 2025)

Toward efficient slide-level grading of liver biopsy via explainable deep learning framework. - Bingchen Li; Qiming He; Jing Chang; Bo Yang; Xi Tang; Yonghong He; Tian Guan; Guangde Zhou (Medical Biol. Eng. Comput., 2025)

Hierarchically Optimized Multiple Instance Learning With Multi-Magnification Pathological Images for Cerebral Tumor Diagnosis. - Lianghui Zhu; Renao Yan; Tian Guan; Fenfen Zhang; Linlang Guo; Qiming He; Shanshan Shi; Huijuan Shi; Yonghong He; Anjia Han (IEEE J. Biomed. Health Informatics, 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 005; Song Duan; Wenbin Dai; Li Zheng; Xuemei Zhang; et al. (CoRR, 2025)

Deformable Attention Graph Representation Learning for Histopathology Whole Slide Image Analysis. - Mingxi Fu; Xitong Ling; Yuxuan Chen; Jiawen Li 005; Fanglei Fu; Huaitian Yuan; Tian Guan; Yonghong He; Lianghui Zhu (CoRR, 2025)