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Heng Kong
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2020 – today
- 2026
[j29]Israr Hussain, Zhihui Lai
, Heng Kong, Fazil Hussain:
Multi-scale feature fusion for breast tumor grading using dual-adaptive attention mechanisms. Pattern Recognit. 169: 111838 (2026)
[j28]Foping Chen, Junhong Zhang
, Zhihui Lai
, Heng Kong
:
Taylornet: Rethinking monomial-based graph neural networks with taylor expansion. Pattern Recognit. 172: 112748 (2026)- 2025
[j27]Junhong Zhang
, Zhihui Lai
, Heng Kong
, Jian Yang
:
Learning the Optimal Discriminant SVM With Feature Extraction. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 2897-2911 (2025)
[j26]Jiajun Wen, Heng Kong, Zhihui Lai
, Zhijie Zhu:
Characteristic discriminative prototype network with detailed interpretation for classification. Pattern Recognit. 157: 110901 (2025)
[j25]Ning Liu, Zhihui Lai
, Junhong Zhang, Can Gao
, Heng Kong:
Capped norm based discriminant robust regression learning. Pattern Recognit. 161: 111288 (2025)
[j24]Jiajun Wen
, Xi Chen
, Heng Kong
, Junhong Zhang
, Zhihui Lai
, Linlin Shen
:
Subspace Sequentially Iterative Leaning for Semi-Supervised SVM. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 681-694 (2025)
[c15]Yu Fan, Zhihui Lai, Heng Kong, Tianying Feng:
Medical Image Segmentation with Auxiliary Points Prediction of Lesion Location and Boundary. ICASSP 2025: 1-5
[c14]Xingxin Guo, Zhihui Lai, Heng Kong, Xiaoling Luo:
UBDet: An Unsupervised Breast Tumor Detection Framework with Boundary-Aware Enhancement. ICIC (22) 2025: 86-97
[c13]Zhihui Lai, Xingxin Guo, Heng Kong, Israr Hussain, Xiaoling Luo:
InstCNet: A Dual-Branch Network for Enhanced Tumor Diagnosis via Joint Segmentation and Classification. ICIC (14) 2025: 313-324
[i6]Shihuan He, Zhihui Lai, Ruxin Wang, Heng Kong:
Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation. CoRR abs/2502.06650 (2025)
[i5]Peng Zhang, Zhihui Lai, Heng Kong:
Semi-Supervised Dual-Threshold Contrastive Learning for Ultrasound Image Classification and Segmentation. CoRR abs/2508.02265 (2025)
[i4]Liujian Tang, Shaokang Dong, Yijia Huang, Minqi Xiang, Hongtao Ruan, Bin Wang, Shuo Li, Zhiheng Xi, Zhihui Cao, Hailiang Pang, Heng Kong, He Yang, Mingxu Chai, Zhilin Gao, Xingyu Liu, Yingnan Fu, Jiaming Liu, Xuanjing Huang
, Yu-Gang Jiang, Tao Gui, Qi Zhang, Kang Wang, Yunke Zhang, Yuran Wang:
MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning. CoRR abs/2508.03700 (2025)
[i3]Peng Zhang, Zhihui Lai, Wenting Chen, Xu Wu, Heng Kong:
FaNe: Towards Fine-Grained Cross-Modal Contrast with False-Negative Reduction and Text-Conditioned Sparse Attention. CoRR abs/2511.12215 (2025)- 2024
[j23]Yufei Zhu
, Zhihui Lai
, Can Gao, Heng Kong:
Generalized robust linear discriminant analysis for jointly sparse learning. Appl. Intell. 54(19): 9508-9523 (2024)
[j22]Zhihui Lai, Xiaomei Fang, Heng Kong:
Deep semantics-preserving cross-modal hashing. Big Data Res. 38: 100494 (2024)
[j21]Guangfei Liang
, Zhihui Lai
, Heng Kong:
Support vector machine with discriminative low-rank embedding. CAAI Trans. Intell. Technol. 9(5): 1249-1262 (2024)
[j20]Zhihui Lai
, Guangfei Liang
, Jie Zhou
, Heng Kong, Yuwu Lu:
A joint learning framework for optimal feature extraction and multi-class SVM. Inf. Sci. 671: 120656 (2024)
[j19]Yufei Zhu, Jiajun Wen, Zhihui Lai
, Jie Zhou, Heng Kong
:
LPRR: Locality preserving robust regression based jointly sparse feature extraction. Inf. Sci. 680: 121128 (2024)
[j18]Weilin Huang, Zhihui Lai
, Heng Kong, Junhong Zhang
:
Joint Sparse Locality Preserving Regression for Discriminative Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 790-801 (2024)
[c12]Shihuan He
, Zhihui Lai, Heng Kong:
Low-confidence Heterogeneous Pixel-Prototype Contrastive Learning for Semi-supervised Medical Image Segmentation. BIBM 2024: 1497-1502
[c11]Yuanfei Xu, Zhihui Lai, Tao Wang, Shihuan He
, Cairong Zhao, Heng Kong:
BF-UNet: Bi-level Routing Attention U-shaped Network Based on Explicit Visual Prompt. ICPR (5) 2024: 224-238
[c10]Ziqing Deng
, Zhihui Lai
, Yujuan Ding
, Heng Kong
, Xu Wu
:
Deep Scaling Factor Quantization Network for Large-scale Image Retrieval. ICMR 2024: 851-859- 2023
[j17]Qiankun Zuo
, Hao Tian
, Ruiheng Li
, Jia Guo
, Jianmin Hu, Long Tang, Yi Di
, Heng Kong:
Hemisphere-Separated Cross-Connectome Aggregating Learning via VAE-GAN for Brain Structural Connectivity Synthesis. IEEE Access 11: 48493-48505 (2023)
[j16]Zhihui Lai
, Yiling Lin, Jiacan Zheng
, Jie Zhou
, Heng Kong:
Generalized multiview regression for feature extraction. Inf. Sci. 648: 119570 (2023)
[j15]Yiling Lin, Zhihui Lai
, Jie Zhou, Jiajun Wen, Heng Kong:
Multiview Jointly Sparse Discriminant Common Subspace Learning. Pattern Recognit. 138: 109342 (2023)
[j14]Honghao Xu, Zhihui Lai
, Heng Kong:
Jointly sparse fast hashing with orthogonal learning for large-scale image retrieval. Signal Process. Image Commun. 119: 117062 (2023)
[j13]Junhong Zhang
, Zhihui Lai
, Heng Kong, Linlin Shen
:
Robust Twin Bounded Support Vector Classifier With Manifold Regularization. IEEE Trans. Cybern. 53(8): 5135-5150 (2023)
[j12]Zhihui Lai
, Xi Chen, Junhong Zhang
, Heng Kong, Jiajun Wen:
Maximal Margin Support Vector Machine for Feature Representation and Classification. IEEE Trans. Cybern. 53(10): 6700-6713 (2023)
[c9]Yudi Zhang, Wenting Chen
, Xuechen Li, Linlin Shen, Zhihui Lai
, Heng Kong:
Adversarial Keyword Extraction and Semantic-Spatial Feature Aggregation for Clinical Report Guided Thyroid Nodule Segmentation. PRCV (13) 2023: 235-247- 2022
[j11]Zhihao Jin, Xuechen Li, Yudi Zhang, LinLin Shen
, Zhihui Lai
, Heng Kong:
Boundary regression-based reep neural network for thyroid nodule segmentation in ultrasound images. Neural Comput. Appl. 34(24): 22357-22366 (2022)
[c8]Shuo Liu, Zhihui Lai
, Heng Kong, Linlin Shen:
Dual Fusion Mass Detector for Mammogram Mass Detection. CBMS 2022: 149-154
[c7]Yanjiao Zhao, Zhihui Lai
, Linlin Shen, Heng Kong:
Breast Lesions Segmentation using Dual-level UNet (DL-UNet). CBMS 2022: 339-344
[c6]Tao Wang, Jianglin Lu, Zhihui Lai, Jiajun Wen, Heng Kong:
Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation. IJCAI 2022: 1444-1450
[c5]Heng Kong
, Junren Pan, Yanyan Shen, Shuqiang Wang
:
Adversarial Learning Based Structural Brain-Network Generative Model for Analyzing Mild Cognitive Impairment. PRCV (2) 2022: 361-375
[i2]Heng Kong, Shuqiang Wang
:
Adversarial Learning Based Structural Brain-network Generative Model for Analyzing Mild Cognitive Impairment. CoRR abs/2208.08896 (2022)- 2021
[j10]Jian-Xun Mi
, Lijian Yang
, Lifang Zhou
, Yueru Sun, Heng Kong:
Symmetrical feature extraction via novel Mirror PCA. Neurocomputing 452: 690-704 (2021)
[j9]Zhihui Lai
, Zhuozhen Yu, Heng Kong, Linlin Shen:
Two-dimensional jointly sparse robust discriminant regression. Signal Process. Image Commun. 98: 116391 (2021)
[j8]Ning Liu
, Zhihui Lai
, Xuechen Li, Yudong Chen
, Dongmei Mo
, Heng Kong, Linlin Shen
:
Locality Preserving Robust Regression for Jointly Sparse Subspace Learning. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2274-2287 (2021)
[j7]Heng Kong
, Jixin Chen:
Medical Monitoring and Management System of Mobile Thyroid Surgery Based on Internet of Things and Cloud Computing. Wirel. Commun. Mob. Comput. 2021: 7065910:1-7065910:10 (2021)
[c4]Tao Wang, Zhihui Lai
, Heng Kong:
TFNet: Transformer Fusion Network for Ultrasound Image Segmentation. ACPR (1) 2021: 314-325- 2020
[j6]Jian-Xun Mi, Yueru Sun, Jia Lu, Heng Kong:
Robust supervised sparse representation for face recognition. Cogn. Syst. Res. 62: 10-22 (2020)
[j5]Zhihui Lai
, Jiaqi Bao, Heng Kong, Minghua Wan, Guowei Yang:
Discriminative low-rank projection for robust subspace learning. Int. J. Mach. Learn. Cybern. 11(10): 2247-2260 (2020)
2010 – 2019
- 2019
[j4]Zhihui Lai
, Ning Liu, Linlin Shen, Heng Kong:
Robust Locally Discriminant Analysis via Capped Norm. IEEE Access 7: 4641-4652 (2019)
[i1]Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Heng Kong, Ling Shao:
Coupled-Projection Residual Network for MRI Super-Resolution. CoRR abs/1907.05598 (2019)- 2018
[j3]Zhihui Lai, Yudong Chen, Dongmei Mo
, Jiajun Wen
, Heng Kong:
Robust jointly sparse embedding for dimensionality reduction. Neurocomputing 314: 30-38 (2018)
[c3]Xiangxi Xu, Zhihui Lai, Yudong Chen, Heng Kong:
Robust Discriminative Principal Component Analysis. CCBR 2018: 231-238
[c2]Dongmei Mo
, Zhihui Lai
, Heng Kong:
Jointly Sparse Reconstructed Regression Learning. PRCV (3) 2018: 597-609- 2016
[j2]Heng Kong, Zhihui Lai, Xu Wang, Feng Liu
:
Breast cancer discriminant feature analysis for diagnosis via jointly sparse learning. Neurocomputing 177: 198-205 (2016)- 2015
[j1]Jin-Xing Liu
, Yong Xu, Chun-Hou Zheng, Heng Kong, Zhihui Lai:
RPCA-Based Tumor Classification Using Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 964-970 (2015)- 2013
[c1]Xiaoshuang Shi, Zhihui Lai
, Zhenhua Guo, Minghua Wan, Cairong Zhao, Heng Kong:
Sparse Principal Component Analysis via Joint L 2, 1-Norm Penalty. Australasian Conference on Artificial Intelligence 2013: 148-159
Coauthor Index

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last updated on 2026-01-12 01:29 CET by the dblp team
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