A novel Hough transform based on eliminating particle swarm optimization and its applications. - Heng-Da Cheng; Yanhui Guo; Yingtao Zhang (Pattern Recognit., 2009)

A novel speckle reduction and contrast enhancement method based on fuzzy anisotropic diffusion. - Yingtao Zhang; Heng-Da Cheng; Jiawei Tian; Jianhua Huang (ICIP, 2010)

Fractional subpixel diffusion and fuzzy logic approach for ultrasound speckle reduction. - Yingtao Zhang; Heng-Da Cheng; Jiawei Tian; Jianhua Huang; Xianglong Tang (Pattern Recognit., 2010)

Detecting of contrast over-enhancement. - Heng-Da Cheng; Yingtao Zhang (ICIP, 2012)

Multiple-domain knowledge based MRF model for tumor segmentation in breast ultrasound images. - Min Xian; Jianhua Huang; Yingtao Zhang; Xianglong Tang (ICIP, 2012)

Breast Ultrasound Image Classification Based on Multiple-Instance Learning. - Jianrui Ding; Heng-Da Cheng; Jianhua Huang; Jiafeng Liu; Yingtao Zhang (J. Digit. Imaging, 2012)

An Effective Approach of Lesion Segmentation Within the Breast Ultrasound Image Based on the Cellular Automata Principle. - Yan Liu 014; Heng-Da Cheng; Jianhua Huang; Yingtao Zhang; Xianglong Tang (J. Digit. Imaging, 2012)

Computer Aided Diagnosis System for Breast Cancer Based on Color Doppler Flow Imaging. - Yan Liu 014; Heng-Da Cheng; Jianhua Huang; Yingtao Zhang; Xianglong Tang; Jin-Wen Tian; Yajie Wang (J. Medical Syst., 2012)

An effective and objective criterion for evaluating the performance of denoising filters. - Yingtao Zhang; Heng-Da Cheng; Jianhua Huang; Xianglong Tang (Pattern Recognit., 2012)

A Novel Metric for Image Denoising Algorithms. - Yingtao Zhang; Heng-Da Cheng; Jianhua Huang; Xianglong Tang (IScIDE, 2013)

An effective computer aided diagnosis system using B-Mode and color Doppler flow imaging for breast cancer. - Songbo Liu; Heng-Da Cheng; Yan Liu 014; Jianhua Huang; Yingtao Zhang; Xianglong Tang (VCIP, 2013)

An Effective Non-rigid Registration Approach for Ultrasound Image Based On "Demons" Algorithm. - Yan Liu 014; Heng-Da Cheng; Jianhua Huang; Yingtao Zhang; Xianglong Tang; Jiawei Tian (J. Digit. Imaging, 2013)

Multiple-instance learning with global and local features for thyroid ultrasound image classification. - Jianrui Ding; Heng-Da Cheng; Jianhua Huang; Yingtao Zhang (BMEI, 2014)

A Fully Automatic Breast Ultrasound Image Segmentation Approach Based on Neutro-Connectedness. - Min Xian; Heng-Da Cheng; Yingtao Zhang (ICPR, 2014)

An algorithm based on LBPV and MIL for left atrial thrombi detection using transesophageal echocardiography. - Jianrui Ding; Min Xian; Heng-Da Cheng; Yingtao Zhang; Fei Xu (ICIP, 2015)

A saliency model for automated tumor detection in breast ultrasound images. - Haoyang Shao; Yingtao Zhang; Min Xian; Heng-Da Cheng; Fei Xu; Jianrui Ding (ICIP, 2015)

A robust coronary artery identification and centerline extraction method in angiographies. - Zhixun Li; Yingtao Zhang; Guangzhong Liu; Haoyang Shao; Weimin Li 004; Xianglong Tang (Biomed. Signal Process. Control., 2015)

An algorithm for Left Atrial Thrombi detection using Transesophageal Echocardiography. - Jianrui Ding; Min Xian; Heng-Da Cheng; Yang Li; Fei Xu; Yingtao Zhang (CoRR, 2015)

Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains. - Min Xian; Yingtao Zhang; Heng-Da Cheng (Pattern Recognit., 2015)

WENN for individualized cleaning in imbalanced data. - Hongjiao Guan; Yingtao Zhang; Min Xian; Heng-Da Cheng; Xianglong Tang (ICPR, 2016)

EISeg: Effective interactive segmentation. - Min Xian; Fei Xu; Heng-Da Cheng; Yingtao Zhang; Jianrui Ding (ICPR, 2016)

Exploration of C Language Practical Teaching Method Based on Project Learning. - Huipeng Chen; Yingtao Zhang; Songbo Liu (ICYCSEE (2), 2016)

Virtual Simulation Experiment Teaching Platform Based on 3R-4A Computer System. - Xianjun Shi; Yingtao Zhang; Lijie Zhang; Liming Wang (ICYCSEE (2), 2016)

Unsupervised saliency estimation based on robust hypotheses. - Fei Xu; Min Xian; Heng-Da Cheng; Jianrui Ding; Yingtao Zhang (WACV, 2016)

Automatic coronary artery segmentation based on multi-domains remapping and quantile regression in angiographies. - Zhixun Li; Yingtao Zhang; Huiling Gong; Weimin Li 004; Xianglong Tang (Comput. Medical Imaging Graph., 2016)

Robust multiple cue fusion-based high-speed and nonrigid object tracking algorithm for short track speed skating. - Chenguang Liu; Heng-Da Cheng; Yingtao Zhang; Yuxuan Wang; Min Xian (J. Electronic Imaging, 2016)

Neutro-Connectedness Cut. - Min Xian; Yingtao Zhang; Heng-Da Cheng; Fei Xu; Jianrui Ding (IEEE Trans. Image Process., 2016)

An automatic and efficient coronary arteries extraction method in CT angiographies. - Zhixun Li; Yingtao Zhang; Huiling Gong; Guangzhong Liu; Weimin Li 004; Xianglong Tang (Biomed. Signal Process. Control., 2017)

A 3D/2D registration of the coronary arteries based on tree topology consistency matching. - Songbo Liu; Peng Liu 008; Zhixun Li; Yingtao Zhang; Weimin Li 004; Xianglong Tang (Biomed. Signal Process. Control., 2017)

Pricing Models for Crowdsourcing Tasks Based on Geographic Information. - Yuxin Niu; Yingtao Zhang; Mingyang Song (ICIS, 2018)

Medical Knowledge Constrained Semantic Breast Ultrasound Image Segmentation. - Kuan Huang; Heng-Da Cheng; Yingtao Zhang; Boyu Zhang; Ping Xing; Chunping Ning (ICPR, 2018)

A Hybrid Framework for Tumor Saliency Estimation. - Fei Xu; Min Xian; Yingtao Zhang; Kuan Huang; Heng-Da Cheng; Boyu Zhang; Jianrui Ding; Chunping Ning; Ying Wang (ICPR, 2018)

Fully automatic Breast ultrasound image segmentation based on fuzzy cellular automata framework. - Yan Liu 014; Yong Chen; Bo Han 007; Yingtao Zhang; Xutang Zhang; Yanxin Su (Biomed. Signal Process. Control., 2018)

A Benchmark for Breast Ultrasound Image Segmentation (BUSIS). - Min Xian; Yingtao Zhang; Heng-Da Cheng; Fei Xu; Kuan Huang; Boyu Zhang; Jianrui Ding; Chunping Ning; Ying Wang (CoRR, 2018)

Computer-Aided Knee Joint Magnetic Resonance Image Segmentation - A Survey. - Boyu Zhang; Yingtao Zhang; Heng-Da Cheng; Min Xian; Shan Gai; Olivia Cheng; Kuan Huang (CoRR, 2018)

Abstaining Classification When Error Costs are Unequal and Unknown. - Hongjiao Guan; Yingtao Zhang; Heng-Da Cheng; Xianglong Tang (CoRR, 2018)

Automatic breast ultrasound image segmentation: A survey. - Min Xian; Yingtao Zhang; Heng-Da Cheng; Fei Xu; Boyu Zhang; Jianrui Ding (Pattern Recognit., 2018)

Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling. - Fei Xu; Yingtao Zhang; Min Xian; Heng-Da Cheng; Boyu Zhang; Jianrui Ding; Chunping Ning; Ying Wang (CoRR, 2019)

Fuzzy Semantic Segmentation of Breast Ultrasound Image with Breast Anatomy Constraints. - Kuan Huang; Yingtao Zhang; Heng-Da Cheng; Ping Xing; Boyu Zhang (CoRR, 2019)

CrackGAN: A Labor-Light Crack Detection Approach Using Industrial Pavement Images Based on Generative Adversarial Learning. - Kaige Zhang; Yingtao Zhang; Heng-Da Cheng (CoRR, 2019)

Breast Anatomy Enriched Tumor Saliency Estimation. - Fei Xu; Yingtao Zhang; Min Xian; Heng-Da Cheng; Boyu Zhang; Jianrui Ding; Chunping Ning; Ying Wang (CoRR, 2019)

BA2Cs: Bounded abstaining with two constraints of reject rates in binary classification. - Hongjiao Guan; Yingtao Zhang; Heng-Da Cheng; Min Xian; Xianglong Tang (Neurocomputing, 2019)

Automatic Tongue Crack Extraction For Real-Time Diagnosis. - Jianqiang Peng; Xinlei Li; Dawei Yang; Yingtao Zhang; Wei Zhang 056; Ye Zhang; Yajie Kong; Fufeng Li; Wenqiang Zhang (BIBM, 2020)

Semantic Segmentation of Breast Ultrasound Image with Pyramid Fuzzy Uncertainty Reduction and Direction Connectedness Feature. - Kuan Huang; Yingtao Zhang; Heng-Da Cheng; Ping Xing; Boyu Zhang (ICPR, 2020)

Breast Anatomy Enriched Tumor Saliency Estimation. - Fei Xu; Yingtao Zhang; Heng-Da Cheng; Jianrui Ding; Boyu Zhang; Chunping Ning; Ying Wang (ICPR, 2020)

Improved YOLOv3 Infrared Image Pedestrian Detection Algorithm. - Jianting Shi; Guiqiang Zhang; Jie Yuan; Yingtao Zhang (ICPCSEE (1), 2020)

Bounded-abstaining classification for breast tumors in imbalanced ultrasound images. - Hongjiao Guan; Yingtao Zhang; Heng-Da Cheng; Xianglong Tang (Int. J. Appl. Math. Comput. Sci., 2020)

Self-Supervised Structure Learning for Crack Detection Based on Cycle-Consistent Generative Adversarial Networks. - Kaige Zhang; Yingtao Zhang; Heng-Da Cheng (J. Comput. Civ. Eng., 2020)

Fully multi-target segmentation for breast ultrasound image based on fully convolutional network. - Yingtao Zhang; Yan Liu 014; Heng-Da Cheng; Ziyao Li; Cong Liu (Medical Biol. Eng. Comput., 2020)

ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data. - Hongjiao Guan; Bin Ma 003; Yingtao Zhang; Xianglong Tang (ACML, 2021)

A LVTSCR-Based Compact Structure for Latch-up Immune. - Songyan Wang; Xiaomei Fan; Zhihua Zhu; Yingtao Zhang; Ruike Chen; Juin Jei Liou (ASICON, 2021)

A Generalized Optimization Embedded Framework of Undersampling Ensembles for Imbalanced Classification. - Hongjiao Guan; Yingtao Zhang; Bin Ma 003; Jian Li 034; Chunpeng Wang 001 (DSAA, 2021)

MSF-GAN: Multi-Scale Fuzzy Generative Adversarial Network for Breast Ultrasound Image Segmentation. - Kuan Huang; Yingtao Zhang; Heng-Da Cheng; Ping Xing (EMBC, 2021)

GUIS2Code: A Computer Vision Tool to Generate Code Automatically from Graphical User Interface Sketches. - Zhen Feng; Jiaqi Fang; Bo Cai; Yingtao Zhang (ICANN (3), 2021)

Shape-Adaptive Convolutional Operator for Breast Ultrasound Image Segmentation. - Kuan Huang; Yingtao Zhang; Heng-Da Cheng; Ping Xing (ICME, 2021)

Attention Driven Self-Similarity Capture for Motion Deblurring. - Jie Zhang 003; Chuanfa Zhang; Jiangzhou Wang; Qingyue Xiong; Yingtao Zhang; Wenqiang Zhang (ICME, 2021)

An Improved LVTSCR Device with an Embedded BJT for ESD Protection. - Xiaomei Fan; Zhihua Zhu; Yingtao Zhang; Ruike Chen; Yao Wang; Juin Jei Liou (ISIE, 2021)

HW-TSC's Participation at WMT 2021 Quality Estimation Shared Task. - Yimeng Chen; Chang Su 001; Yingtao Zhang; Yuxia Wang; Xiang Geng; Hao Yang 006; Shimin Tao; Jiaxin Guo; Minghan Wang; Min Zhang 042; Yujia Liu; Shujian Huang (WMT@EMNLP, 2021)

SMOTE-WENN: Solving class imbalance and small sample problems by oversampling and distance scaling. - Hongjiao Guan; Yingtao Zhang; Min Xian; Heng-Da Cheng; Xianglong Tang (Appl. Intell., 2021)

Tumor saliency estimation for breast ultrasound images via breast anatomy modeling. - Fei Xu; Yingtao Zhang; Heng-Da Cheng; Boyu Zhang; Jianrui Ding; Chunping Ning; Ying Wang (Artif. Intell. Medicine, 2021)

The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation. - Minghan Wang; Yuxia Wang; Chang Su 001; Jiaxin Guo; Yingtao Zhang; Yujia Liu; Min Zhang 042; Shimin Tao; Xingshan Zeng; Liangyou Li; Hao Yang 006; Ying Qin (CoRR, 2021)

Semantic segmentation of breast ultrasound image with fuzzy deep learning network and breast anatomy constraints. - Kuan Huang; Yingtao Zhang; Heng-Da Cheng; Ping Xing; Boyu Zhang (Neurocomputing, 2021)

CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning. - Kaige Zhang; Yingtao Zhang; Heng-Da Cheng (IEEE Trans. Intell. Transp. Syst., 2021)

ColoristaNet for Photorealistic Video Style Transfer. - Xiaowen Qiu; Ruize Xu; Boan He; Yingtao Zhang; Wenqiang Zhang; Weifeng Ge (CoRR, 2022)

Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning. - Yingtao Zhang; Jialin Zhao 004; Wenjing Wu; Alessandro Muscoloni; Carlo Vittorio Cannistraci (ICLR, 2024)

Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models. - Yingtao Zhang; Haoli Bai; Haokun Lin; Jialin Zhao 004; Lu Hou 002; Carlo Vittorio Cannistraci (ICLR, 2024)

DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs. - Haokun Lin; Haobo Xu; Yichen Wu; Jingzhi Cui; Yingtao Zhang; Linzhan Mou; Linqi Song; Zhenan Sun; Ying Wei 001 (NeurIPS, 2024)

Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks. - Jialin Zhao 004; Yingtao Zhang; Xinghang Li; Huaping Liu; Carlo Vittorio Cannistraci (CoRR, 2024)

Rotation and Permutation for Advanced Outlier Management and Efficient Quantization of LLMs. - Haokun Lin; Haobo Xu; Yichen Wu; Jingzhi Cui; Yingtao Zhang; Linzhan Mou; Linqi Song; Zhenan Sun; Ying Wei 001 (CoRR, 2024)

Incomplete multiview subspace clustering based on multiple kernel low-redundant representation learning. - Ao Li 002; Cong Feng; Yuan Cheng; Yingtao Zhang; Hailu Yang 001 (Inf. Fusion, 2024)

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models. - Jialin Zhao 004; Yingtao Zhang; Carlo Vittorio Cannistraci (CoRR, 2025)

Brain-inspired sparse training enables Transformers and LLMs to perform as fully connected. - Yingtao Zhang; Jialin Zhao 004; Wenjing Wu; Ziheng Liao; Umberto Michieli; Carlo Vittorio Cannistraci (CoRR, 2025)