RDF-based innovative design knowledge represent. - Lu Zhen; Zuhua Jiang; Hai Su; Liang Jun (SKG, 2005)

A bilateral integrative health-care knowledge service mechanism based on 'MedGrid'. - Chao Liu; Zuhua Jiang; Lu Zhen; Hai Su (Comput. Biol. Medicine, 2008)

Jamming-resilient multi-radio multi-channel multihop wireless network for smart grid. - Hai Su; Meikang Qiu; Huimin Chen; Zhonghai Lu; Xiao Qin 001 (CSIIRW, 2011)

Jamming-Resilient Dynamic Spectrum Access for Cognitive Radio Networks. - Hai Su; Qian Wang 002; Kui Ren 001; Kai Xing (ICC, 2011)

Fast and scalable secret key generation exploiting channel phase randomness in wireless networks. - Qian Wang 002; Hai Su; Kui Ren 001; Kwangjo Kim (INFOCOM, 2011)

Jamming-Resistant Communication in Multi-Channel Multi-hop Multi-path Wireless Networks. - Hai Su; Qian Wang 002; Kui Ren 001 (WASA, 2011)

Secret key generation exploiting channel characteristics in wireless communications. - Kui Ren 001; Hai Su; Qian Wang 002 (IEEE Wirel. Commun., 2011)

Intelligent Vehicle Detection and Tracking for Highway Driving. - Wanxin Xu; Meikang Qiu; Zhi Chen 008; Hai Su (ICME Workshops, 2012)

Balance of security strength and energy for a PMU monitoring system in smart grid. - Meikang Qiu; Hai Su; Min Chen 003; Zhong Ming 001; Laurence Tianruo Yang (IEEE Commun. Mag., 2012)

Secure wireless communication system for smart grid with rechargeable electric vehicles. - Hai Su; Meikang Qiu; Honggang Wang 001 (IEEE Commun. Mag., 2012)

Sampling optimization method based on color difference analysis for printer characterization. - Juhua Liu; Yaohua Yi; Hai Su; Yuan Yuan; Minjing Miao (ICDIP, 2013)

Learning based automatic detection of myonuclei in isolated single skeletal muscle fibers using multi-focus image fusion. - Hai Su; Fuyong Xing; Jonah D. Lee; Charlotte A. Peterson; Lin Yang 002 (ISBI, 2013)

An Integrated Framework for Automatic Ki-67 Scoring in Pancreatic Neuroendocrine Tumor. - Fuyong Xing; Hai Su; Lin Yang 002 (MICCAI (1), 2013)

Touching adipocyte cells decomposition using combinatorial optimization. - Fujun Liu; Fuyong Xing; Hai Su; Lin Yang 002 (ISBI, 2014)

Mining Histopathological Images via Composite Hashing and Online Learning. - Xiaofan Zhang 002; Lin Yang 002; Wei Liu 005; Hai Su; Shaoting Zhang 001 (MICCAI (2), 2014)

Novel image markers for non-small cell lung cancer classification and survival prediction. - Hongyuan Wang; Fuyong Xing; Hai Su; Arnold J. Stromberg; Lin Yang 002 (BMC Bioinform., 2014)

Automatic Ki-67 Counting Using Robust Cell Detection and Online Dictionary Learning. - Fuyong Xing; Hai Su; Janna H. Neltner; Lin Yang 002 (IEEE Trans. Biomed. Eng., 2014)

Automatic Myonuclear Detection in IsolatedSingle Muscle Fibers Using Robust EllipseFitting and Sparse Representation. - Hai Su; Fuyong Xing; Jonah D. Lee; Charlotte A. Peterson; Lin Yang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval. - Xiaofan Zhang 002; Hai Su; Lin Yang 002; Shaoting Zhang 001 (CVPR, 2015)

Robust automatic breast cancer staging using a combination of functional genomics and image-omics. - Hai Su; Yong Shen; Fuyong Xing; Xin Qi 007; Kim M. Hirshfield; Lin Yang 002; David J. Foran (EMBC, 2015)

Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images. - Xiaofan Zhang 002; Hai Su; Lin Yang 002; Shaoting Zhang 001 (IPMI, 2015)

Automatic muscle perimysium annotation using deep convolutional neural network. - Manish Sapkota; Fuyong Xing; Hai Su; Lin Yang 002 (ISBI, 2015)

Region segmentation in histopathological breast cancer images using deep convolutional neural network. - Hai Su; Fujun Liu; Yuanpu Xie; Fuyong Xing; Sreenivasan Meyyappan; Lin Yang 002 (ISBI, 2015)

Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders. - Hai Su; Fuyong Xing; Xiangfei Kong; Yuanpu Xie; Shaoting Zhang 001; Lin Yang 002 (MICCAI (3), 2015)

Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images. - Yuanpu Xie; Xiangfei Kong; Fuyong Xing; Fujun Liu; Hai Su; Lin Yang 002 (MICCAI (3), 2015)

Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network. - Yuanpu Xie; Fuyong Xing; Xiangfei Kong; Hai Su; Lin Yang 002 (MICCAI (3), 2015)

High-throughput histopathological image analysis via robust cell segmentation and hashing. - Xiaofan Zhang 002; Fuyong Xing; Hai Su; Lin Yang 002; Shaoting Zhang 001 (Medical Image Anal., 2015)

Defending jamming attack in wide-area monitoring system for smart grid. - Jianwei Niu 002; Zhong Ming 001; Meikang Qiu; Hai Su; Zonghua Gu 001; Xiao Qin 001 (Telecommun. Syst., 2015)

Data transfer minimization for financial derivative pricing using Monte Carlo simulation with GPU in 5G. - Meikang Qiu; Diqiu Cao; Hai Su; Keke Gai (Int. J. Commun. Syst., 2016)

A minimal Munsell value error based laser printer model. - Juhua Liu; Hai Su; Wenbin Hu 001; Lefei Zhang; Dacheng Tao (Neurocomputing, 2016)

Optimal parameters based stochastic dot model for tone compensation of dither matrix. - Hai Su; Juhua Liu; Yaohua Yi; Bo Du 001 (Neurocomputing, 2016)

Robust text detection via multi-degree of sharpening and blurring. - Juhua Liu; Hai Su; Yaohua Yi; Wenbin Hu 001 (Signal Process., 2016)

Robust Cell Detection of Histopathological Brain Tumor Images Using Sparse Reconstruction and Adaptive Dictionary Selection. - Hai Su; Fuyong Xing; Lin Yang 002 (IEEE Trans. Medical Imaging, 2016)

Cell Encoding for Histopathology Image Classification. - Xiaoshuang Shi; Fuyong Xing; Yuanpu Xie; Hai Su; Lin Yang 002 (MICCAI (2), 2017)

Integrative Analysis for Lung Adenocarcinoma Predicts Morphological Features Associated with Genetic Variations. - Chao Wang 081; Hai Su; Lin Yang 002; Kun Huang 001 (PSB, 2017)

Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection. - Zizhao Zhang; Fuyong Xing; Hai Su; Xiaoshuang Shi; Lin Yang 002 (CoRR, 2017)

Supervised graph hashing for histopathology image retrieval and classification. - Xiaoshuang Shi; Fuyong Xing; Kaidi Xu; Yuanpu Xie; Hai Su; Lin Yang 002 (Medical Image Anal., 2017)

Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders. - Hai Su; Fuyong Xing; Xiangfei Kong; Yuanpu Xie; Shaoting Zhang 001; Lin Yang 002 (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

An Optimized Method for the Limb Tremor Measurement. - Weiqiang Zeng; Hai Su; Haipeng Zhong; Haitao Cui; Lihua Sun; Linglin Xia (ICMHI, 2018)

Efficient and robust cell detection: A structured regression approach. - Yuanpu Xie; Fuyong Xing; Xiaoshuang Shi; Xiangfei Kong; Hai Su; Lin Yang 002 (Medical Image Anal., 2018)

Breast mass classification via deeply integrating the contextual information from multi-view data. - Hongyu Wang 007; Jun Feng 003; Zizhao Zhang; Hai Su; Lei Cui 004; Hua He; Li Liu (Pattern Recognit., 2018)

AIIMDs: An Integrated Framework of Automatic Idiopathic Inflammatory Myopathy Diagnosis for Muscle. - Manish Sapkota; Fujun Liu; Yuanpu Xie; Hai Su; Fuyong Xing; Lin Yang 002 (IEEE J. Biomed. Health Informatics, 2018)

Deep Learning in Microscopy Image Analysis: A Survey. - Fuyong Xing; Yuanpu Xie; Hai Su; Fujun Liu; Lin Yang 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification. - Hai Su; Xiaoshuang Shi; Jinzheng Cai; Lin Yang 002 (MICCAI (1), 2019)

Structured orthogonal matching pursuit for feature selection. - Xiaoshuang Shi; Fuyong Xing; Zhenhua Guo 001; Hai Su; Fujun Liu; Lin Yang 002 (Neurocomputing, 2019)

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. - Zizhao Zhang; Pingjun Chen; Mason McGough; Fuyong Xing; Chunbao Wang 002; Marilyn Bui; Yuanpu Xie; Manish Sapkota; Lei Cui 004; Jaspreet Singh Dhillon; Nazeel Ahmad; Farah K. Khalil; et al. (Nat. Mach. Intell., 2019)

Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. - Zizhao Zhang; Pingjun Chen; Mason McGough; Fuyong Xing; Chunbao Wang 002; Marilyn Bui; Yuanpu Xie; Manish Sapkota; Lei Cui 004; Jasreman Dhillon; Nazeel Ahmad; Farah K. Khalil; et al. (Nat. Mach. Intell., 2019)

Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning. - Yuan Li; Pingjun Chen; Zhiyuan Li; Hai Su; Lin Yang 002; Dingrong Zhong (Artif. Intell. Medicine, 2020)

SemiText: Scene text detection with semi-supervised learning. - Juhua Liu; Qihuang Zhong; Yuan Yuan; Hai Su; Bo Du 001 (Neurocomputing, 2020)

Locally and multiply distorted image quality assessment via multi-stage CNNs. - Yuan Yuan; Hai Su; Juhua Liu; Guoqiang Zeng (Inf. Process. Manag., 2020)

Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis. - Xiaoshuang Shi; Hai Su; Fuyong Xing; Yun Liang 012; Gang Qu 002; Lin Yang 002 (Medical Image Anal., 2020)

Multistage GAN for Fabric Defect Detection. - Juhua Liu; Chaoyue Wang; Hai Su; Bo Du 001; Dacheng Tao (IEEE Trans. Image Process., 2020)

Quantitative Assessment of Limb Stability from Handwriting Images. - Zhifei He; Luchuan Zeng; Ruijiang Xie; Keyi Li; Hai Su; Jie Lei; Li Lan; Linglin Xia; Deyu Lin (HPCC/DSS/SmartCity/DependSys, 2021)

Hard Example Guided Hashing for Image Retrieval. - Hai Su; Meiyin Han; Junle Liang; Jun Liang 002; Songsen Yu (CoRR, 2021)

A Color Image Steganography Based on Frequency Sub-band Selection. - Hai Su; Shan Yang; Shuqing Zhang; Songsen Yu (CoRR, 2021)

DeepGBASS: Deep Guided Boundary-Aware Semantic Segmentation. - Qingfeng Liu; Hai Su; Mostafa El-Khamy; Kee-Bong Song (ICASSP, 2022)

Deep Guidance Decoder with Semantic Boundary Learning for Boundary-Aware Semantic Segmentation. - Qingfeng Liu; Hai Su; Mostafa El-Khamy (ICCE, 2022)

Can Image Watermarking Efficiently Protect Deep-Learning-Based Image Classifiers? - A Preliminary Security Analysis of an IP-Protecting Method. - Jia-Hui Xie; Di Wu; Bo-Hao Zhang; Hai Su; Huan Yang (ICDF2C, 2022)

Steganalysis of Image with Adaptively Parametric Activation. - Hai Su; Meiyin Han; Junle Liang; Songsen Yu (CoRR, 2022)

Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosis. - Hai Su; Jiajun Hu; Songsen Yu (CoRR, 2023)

A deep hashing method of likelihood function adaptive mapping. - Hai Su; Jianwei Fang; Weixing Liu; Songsen Yu; Huan Yang (Neural Comput. Appl., 2023)

Seam carving based on dynamic energy regulation. - Hai Su; Zigui Ye; Yaping Liu; Songsen Yu (Multim. Tools Appl., 2023)

Deep supervised hashing with hard example pairs optimization for image retrieval. - Hai Su; Meiyin Han; Junle Liang; Jun Liang 002; Songsen Yu (Vis. Comput., 2023)

Task Integration Distillation for Object Detectors. - Hai Su; ZhenWen Jian; Songsen Yu (CoRR, 2024)

Successive model-agnostic meta-learning for few-shot fault time series prognosis. - Hai Su; Jiajun Hu; Songsen Yu; Juhua Liu; Xiangyang Qin (Neurocomputing, 2024)

Semi-supervised incremental hashing method. - Hai Su; Yuchen Zhong (J. Electronic Imaging, 2024)

Contrast-based unsupervised hashing method with margin limit. - Hai Su; Zhenyu Ke; Songsen Yu; Jianwei Fang; Yuchen Zhong (Multim. Tools Appl., 2024)

DuCol: Text-Tag Adaptive Colorization of Dual-Character Line Art. - Jun Liang 002; Rui Luo; Yang Peng; Hai Su (ICASSP, 2025)

Classification and regression Task Integration in distillation for object detectors. - Hai Su; ZhenWen Jian; Yanghui Wei; Songsen Yu (Neurocomputing, 2025)

PSDR-SNet: Siamese network of potential steganographic signal difference regions for image steganalysis. - Hai Su; Jiamei Liu; Jun Liang (J. Vis. Commun. Image Represent., 2025)

DualRW: a dual fusion network for rating quicksketch works. - Jun Liang; Xiaoyang Kuang; Hai Su (Neural Comput. Appl., 2025)