Heng Kong

54 papers A* 2A 1B 3Misc 1Journal 36Unranked 11
YearRankTypeTitle / Venue / Authors
2026 A* conf
FaNe: Towards Fine-Grained Cross-Modal Contrast with False-Negative Reduction and Text-Conditioned Sparse Attention.
AAAI
Peng Zhang, Zhihui Lai, Wenting Chen, Xu Wu, Heng Kong
2026 J jnl
Graph adiabatic diffusion neural networks for distribution-shift breast tumor image classification.
Neural Networks
Haoquan Lu, Zhihui Lai, Heng Kong
2026 J jnl
Multi-scale feature fusion for breast tumor grading using dual-adaptive attention mechanisms.
Pattern Recognit.
Israr Hussain, Zhihui Lai, Heng Kong, Fazil Hussain
2026 J jnl
Taylornet: Rethinking monomial-based graph neural networks with taylor expansion.
Pattern Recognit.
Foping Chen, Junhong Zhang, Zhihui Lai, Heng Kong
2025 J jnl
Capped norm based discriminant robust regression learning.
Pattern Recognit.
Ning Liu, Zhihui Lai, Junhong Zhang, Can Gao, Heng Kong
2025 J jnl
Characteristic discriminative prototype network with detailed interpretation for classification.
Pattern Recognit.
Jiajun Wen, Heng Kong, Zhihui Lai, Zhijie Zhu
2025 J jnl
FaNe: Towards Fine-Grained Cross-Modal Contrast with False-Negative Reduction and Text-Conditioned Sparse Attention.
CoRR
Peng Zhang, Zhihui Lai, Wenting Chen, Xu Wu, Heng Kong
2025 — conf
InstCNet: A Dual-Branch Network for Enhanced Tumor Diagnosis via Joint Segmentation and Classification.
ICIC (14)
Zhihui Lai, Xingxin Guo, Heng Kong, Israr Hussain, Xiaoling Luo
2025 J jnl
Learning the Optimal Discriminant SVM With Feature Extraction.
IEEE Trans. Pattern Anal. Mach. Intell.
Junhong Zhang, Zhihui Lai, Heng Kong, Jian Yang
2025 J jnl
MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning.
CoRR
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
2025 Misc conf
Medical Image Segmentation with Auxiliary Points Prediction of Lesion Location and Boundary.
ICASSP
Yu Fan, Zhihui Lai, Heng Kong, Tianying Feng
2025 J jnl
Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation.
CoRR
Shihuan He, Zhihui Lai, Ruxin Wang, Heng Kong
2025 — conf
Saliency-Guided Selection Driven Multi-scale Network for Breast Tumor Detection.
PRCV (13)
Xinfei Gu, Chengliang Liu, Xiaoling Luo, Qihao Xu, Zhihui Lai, Heng Kong
2025 A conf
Semi-Supervised Dual-Threshold Contrastive Learning for Ultrasound Image Classification and Segmentation.
ECAI
Peng Zhang, Zhihui Lai, Heng Kong
2025 J jnl
Semi-Supervised Dual-Threshold Contrastive Learning for Ultrasound Image Classification and Segmentation.
CoRR
Peng Zhang, Zhihui Lai, Heng Kong
2025 J jnl
Subspace Sequentially Iterative Leaning for Semi-Supervised SVM.
IEEE Trans. Emerg. Top. Comput. Intell.
Jiajun Wen, Xi Chen, Heng Kong, Junhong Zhang, Zhihui Lai, Linlin Shen
2025 — conf
UBDet: An Unsupervised Breast Tumor Detection Framework with Boundary-Aware Enhancement.
ICIC (22)
Xingxin Guo, Zhihui Lai, Heng Kong, Xiaoling Luo
2024 J jnl
A joint learning framework for optimal feature extraction and multi-class SVM.
Inf. Sci.
Zhihui Lai, Guangfei Liang, Jie Zhou, Heng Kong, Yuwu Lu
2024 — conf
BF-UNet: Bi-level Routing Attention U-shaped Network Based on Explicit Visual Prompt.
ICPR (5)
Yuanfei Xu, Zhihui Lai, Tao Wang, Shihuan He, Cairong Zhao, Heng Kong
2024 B conf
Deep Scaling Factor Quantization Network for Large-scale Image Retrieval.
ICMR
Ziqing Deng, Zhihui Lai, Yujuan Ding, Heng Kong, Xu Wu
2024 J jnl
Deep semantics-preserving cross-modal hashing.
Big Data Res.
Zhihui Lai, Xiaomei Fang, Heng Kong
2024 J jnl
Generalized robust linear discriminant analysis for jointly sparse learning.
Appl. Intell.
Yufei Zhu, Zhihui Lai, Can Gao, Heng Kong
2024 J jnl
Joint Sparse Locality Preserving Regression for Discriminative Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Weilin Huang, Zhihui Lai, Heng Kong, Junhong Zhang
2024 J jnl
LPRR: Locality preserving robust regression based jointly sparse feature extraction.
Inf. Sci.
Yufei Zhu, Jiajun Wen, Zhihui Lai, Jie Zhou, Heng Kong
2024 — conf
Low-confidence Heterogeneous Pixel-Prototype Contrastive Learning for Semi-supervised Medical Image Segmentation.
BIBM
Shihuan He, Zhihui Lai, Heng Kong
2024 J jnl
Support vector machine with discriminative low-rank embedding.
CAAI Trans. Intell. Technol.
Guangfei Liang, Zhihui Lai, Heng Kong
2023 — conf
Adversarial Keyword Extraction and Semantic-Spatial Feature Aggregation for Clinical Report Guided Thyroid Nodule Segmentation.
PRCV (13)
Yudi Zhang, Wenting Chen, Xuechen Li, Linlin Shen, Zhihui Lai, Heng Kong
2023 J jnl
Generalized multiview regression for feature extraction.
Inf. Sci.
Zhihui Lai, Yiling Lin, Jiacan Zheng, Jie Zhou, Heng Kong
2023 J jnl
Hemisphere-Separated Cross-Connectome Aggregating Learning via VAE-GAN for Brain Structural Connectivity Synthesis.
IEEE Access
Qiankun Zuo, Hao Tian, Ruiheng Li, Jia Guo, Jianmin Hu, Long Tang, Yi Di, Heng Kong
2023 J jnl
Jointly sparse fast hashing with orthogonal learning for large-scale image retrieval.
Signal Process. Image Commun.
Honghao Xu, Zhihui Lai, Heng Kong
2023 J jnl
Maximal Margin Support Vector Machine for Feature Representation and Classification.
IEEE Trans. Cybern.
Zhihui Lai, Xi Chen, Junhong Zhang, Heng Kong, Jiajun Wen
2023 J jnl
Multiview Jointly Sparse Discriminant Common Subspace Learning.
Pattern Recognit.
Yiling Lin, Zhihui Lai, Jie Zhou, Jiajun Wen, Heng Kong
2023 J jnl
Robust Twin Bounded Support Vector Classifier With Manifold Regularization.
IEEE Trans. Cybern.
Junhong Zhang, Zhihui Lai, Heng Kong, Linlin Shen
2022 — conf
Adversarial Learning Based Structural Brain-Network Generative Model for Analyzing Mild Cognitive Impairment.
PRCV (2)
Heng Kong, Junren Pan, Yanyan Shen, Shuqiang Wang
2022 J jnl
Adversarial Learning Based Structural Brain-network Generative Model for Analyzing Mild Cognitive Impairment.
CoRR
Heng Kong, Shuqiang Wang
2022 J jnl
Boundary regression-based reep neural network for thyroid nodule segmentation in ultrasound images.
Neural Comput. Appl.
Zhihao Jin, Xuechen Li, Yudi Zhang, Linlin Shen, Zhihui Lai, Heng Kong
2022 B conf
Breast Lesions Segmentation using Dual-level UNet (DL-UNet).
CBMS
Yanjiao Zhao, Zhihui Lai, Linlin Shen, Heng Kong
2022 B conf
Dual Fusion Mass Detector for Mammogram Mass Detection.
CBMS
Shuo Liu, Zhihui Lai, Heng Kong, Linlin Shen
2022 A* conf
Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation.
IJCAI
Tao Wang, Jianglin Lu, Zhihui Lai, Jiajun Wen, Heng Kong
2021 J jnl
Locality Preserving Robust Regression for Jointly Sparse Subspace Learning.
IEEE Trans. Circuits Syst. Video Technol.
Ning Liu, Zhihui Lai, Xuechen Li, Yudong Chen, Dongmei Mo, Heng Kong, Linlin Shen
2021 J jnl
Medical Monitoring and Management System of Mobile Thyroid Surgery Based on Internet of Things and Cloud Computing.
Wirel. Commun. Mob. Comput.
Heng Kong, Jixin Chen
2021 J jnl
Symmetrical feature extraction via novel Mirror PCA.
Neurocomputing
Jian-Xun Mi, Lijian Yang, Lifang Zhou, Yueru Sun, Heng Kong
2021 — conf
TFNet: Transformer Fusion Network for Ultrasound Image Segmentation.
ACPR (1)
Tao Wang, Zhihui Lai, Heng Kong
2021 J jnl
Two-dimensional jointly sparse robust discriminant regression.
Signal Process. Image Commun.
Zhihui Lai, Zhuozhen Yu, Heng Kong, Linlin Shen
2020 J jnl
Discriminative low-rank projection for robust subspace learning.
Int. J. Mach. Learn. Cybern.
Zhihui Lai, Jiaqi Bao, Heng Kong, Minghua Wan, Guowei Yang
2020 J jnl
Robust supervised sparse representation for face recognition.
Cogn. Syst. Res.
Jian-Xun Mi, Yueru Sun, Jia Lu, Heng Kong
2019 J jnl
Coupled-Projection Residual Network for MRI Super-Resolution.
CoRR
Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Heng Kong, Ling Shao
2019 J jnl
Robust Locally Discriminant Analysis via Capped Norm.
IEEE Access
Zhihui Lai, Ning Liu, Linlin Shen, Heng Kong
2018 — conf
Jointly Sparse Reconstructed Regression Learning.
PRCV (3)
Dongmei Mo, Zhihui Lai, Heng Kong
2018 — conf
Robust Discriminative Principal Component Analysis.
CCBR
Xiangxi Xu, Zhihui Lai, Yudong Chen, Heng Kong
2018 J jnl
Robust jointly sparse embedding for dimensionality reduction.
Neurocomputing
Zhihui Lai, Yudong Chen, Dongmei Mo, Jiajun Wen, Heng Kong
2016 J jnl
Breast cancer discriminant feature analysis for diagnosis via jointly sparse learning.
Neurocomputing
Heng Kong, Zhihui Lai, Xu Wang, Feng Liu
2015 J jnl
RPCA-Based Tumor Classification Using Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jin-Xing Liu, Yong Xu, Chun-Hou Zheng, Heng Kong, Zhihui Lai
2013 — conf
Sparse Principal Component Analysis via Joint L 2, 1-Norm Penalty.
Australasian Conference on Artificial Intelligence
Xiaoshuang Shi, Zhihui Lai, Zhenhua Guo, Minghua Wan, Cairong Zhao, Heng Kong